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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/inuwamobarak/Image-captioning-ViT/blob/main/Image_Caption_Generation_Using_Generative_Artificial_Intelligencee.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Installing requirements"
      ],
      "metadata": {
        "id": "3hfByemHz2b7"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "_9csEh9NyE6h",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "05e4fa6e-038c-49da-c4f1-47a9d71d69b4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting transformers\n",
            "  Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
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            "\u001b[?25hCollecting rouge_score\n",
            "  Downloading rouge_score-0.1.2.tar.gz (17 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting evaluate\n",
            "  Downloading evaluate-0.4.0-py3-none-any.whl (81 kB)\n",
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            "\u001b[?25hCollecting datasets\n",
            "  Downloading datasets-2.14.0-py3-none-any.whl (492 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m492.2/492.2 kB\u001b[0m \u001b[31m21.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "  Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
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            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.22.4)\n",
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            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
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            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
            "  Downloading safetensors-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
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            "Collecting dill (from evaluate)\n",
            "  Downloading dill-0.3.7-py3-none-any.whl (115 kB)\n",
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            "Collecting xxhash (from evaluate)\n",
            "  Downloading xxhash-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212 kB)\n",
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            "\u001b[?25hCollecting multiprocess (from evaluate)\n",
            "  Downloading multiprocess-0.70.15-py310-none-any.whl (134 kB)\n",
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            "\u001b[?25hRequirement already satisfied: fsspec[http]>=2021.05.0 in /usr/local/lib/python3.10/dist-packages (from evaluate) (2023.6.0)\n",
            "Collecting responses<0.19 (from evaluate)\n",
            "  Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
            "Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (9.0.0)\n",
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            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (23.1.0)\n",
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            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->rouge_score) (8.1.6)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk->rouge_score) (1.3.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->evaluate) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->evaluate) (2022.7.1)\n",
            "Building wheels for collected packages: rouge_score\n",
            "  Building wheel for rouge_score (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for rouge_score: filename=rouge_score-0.1.2-py3-none-any.whl size=24934 sha256=290eb0f64def99d0045bcb670f5fdbeed830790f1a91c1f2c6b32f4df92eec4b\n",
            "  Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4\n",
            "Successfully built rouge_score\n",
            "Installing collected packages: tokenizers, safetensors, xxhash, dill, rouge_score, responses, multiprocess, huggingface-hub, transformers, datasets, evaluate\n",
            "Successfully installed datasets-2.14.0 dill-0.3.7 evaluate-0.4.0 huggingface-hub-0.16.4 multiprocess-0.70.15 responses-0.18.0 rouge_score-0.1.2 safetensors-0.3.1 tokenizers-0.13.3 transformers-4.31.0 xxhash-3.2.0\n"
          ]
        }
      ],
      "source": [
        "# Install required packages for the code to run\n",
        "!pip install transformers rouge_score evaluate datasets"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Libraries and Packages"
      ],
      "metadata": {
        "id": "7ibWfEs6zwkL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing necessary libraries and packages\n",
        "\n",
        "import requests  # Library for making HTTP requests\n",
        "import torch  # PyTorch for deep learning\n",
        "from PIL import Image  # Library for image processing\n",
        "from transformers import *  # Transformers library for NLP tasks\n",
        "from tqdm import tqdm  # Library for displaying progress bars\n",
        "import numpy as np # Library for numerical manipulation\n",
        "\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"  # Checking for GPU availability and setting the device accordingly"
      ],
      "metadata": {
        "id": "fW44YhdmybhO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cd31b2a3-5114-4841-ce9b-bd7fe014e43b"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:jax._src.xla_bridge:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/generation_utils.py:24: FutureWarning: Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/generation_tf_utils.py:24: FutureWarning: Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/generation_flax_utils.py:24: FutureWarning: Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.\n",
            "  warnings.warn(\n",
            "No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'\n",
            "Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers\n",
            "pip install xformers.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Loading Encoders and Decoders"
      ],
      "metadata": {
        "id": "uk6mZald0ZrG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# The model used for encoding the image and extracting image features\n",
        "# Available encoder models:\n",
        "# encoder_model = \"WinKawaks/vit-small-patch16-224\"\n",
        "# encoder_model = \"google/vit-base-patch16-224\"\n",
        "# encoder_model = \"google/vit-base-patch16-224-in21k\"\n",
        "encoder_model = \"microsoft/swin-base-patch4-window7-224-in22k\"\n",
        "\n",
        "# The model used for decoding the image features and generating captions\n",
        "# Available decoder models:\n",
        "# decoder_model = \"bert-base-uncased\"\n",
        "# decoder_model = \"prajjwal1/bert-tiny\"\n",
        "decoder_model = \"gpt2\"\n",
        "\n",
        "## Load the pre-trained Encoder and Decoder models\n",
        "model = VisionEncoderDecoderModel.from_encoder_decoder_pretrained(\n",
        "    encoder_model, decoder_model\n",
        ").to(device)"
      ],
      "metadata": {
        "id": "orIV7YiIykMt",
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        },
        "outputId": "ba27d578-148d-4cf4-a11a-83ce85624085"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/1.67M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "254029c38f9149a4ba24b2dee4abdc7e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "    \"rose_window, rosette\": 9916,\n",
            "    \"roseate_spoonbill, Ajaia_ajaja\": 1912,\n",
            "    \"rosebay, Rhododendron_maxima\": 19033,\n",
            "    \"rosebud\": 17526,\n",
            "    \"rosebud_cherry, winter_flowering_cherry, Prunus_subhirtella\": 20120,\n",
            "    \"rosebud_orchid, Cleistes_rosea, Pogonia_rosea\": 18520,\n",
            "    \"rosefish, ocean_perch, Sebastodes_marinus\": 4079,\n",
            "    \"roselle, rozelle, sorrel, red_sorrel, Jamaica_sorrel, Hibiscus_sabdariffa\": 18887,\n",
            "    \"rosemary\": 13339,\n",
            "    \"rosemary, Rosmarinus_officinalis\": 20711,\n",
            "    \"rosewood, rosewood_tree\": 19778,\n",
            "    \"rosilla, Helenium_puberulum\": 18324,\n",
            "    \"rosin_bag\": 9917,\n",
            "    \"rosinweed, Silphium_laciniatum\": 18422,\n",
            "    \"rosita, Centaurium_calycosum\": 19186,\n",
            "    \"rosy_boa, Lichanura_trivirgata\": 1199,\n",
            "    \"rotary_actuator, positioner\": 9918,\n",
            "    \"rotary_engine\": 9919,\n",
            "    \"rotary_press\": 9920,\n",
            "    \"rotating_mechanism\": 9921,\n",
            "    \"rotating_shaft, shaft\": 9922,\n",
            "    \"rotavirus\": 258,\n",
            "    \"rotgut\": 13998,\n",
            "    \"rotifer\": 1728,\n",
            "    \"rotisserie\": 9924,\n",
            "    \"rotogravure\": 12177,\n",
            "    \"rotor\": 9927,\n",
            "    \"rotor, rotor_coil\": 9926,\n",
            "    \"rotor_blade, rotary_wing\": 9928,\n",
            "    \"rotor_head, rotor_shaft\": 9929,\n",
            "    \"rotunda\": 9931,\n",
            "    \"rouge, paint, blusher\": 9932,\n",
            "    \"rough\": 14180,\n",
            "    \"rough-leaved_aster\": 18191,\n",
            "    \"rough-legged_hawk, roughleg, Buteo_lagopus\": 822,\n",
            "    \"rough-skinned_newt, Taricha_granulosa\": 903,\n",
            "    \"rough-stemmed_goldenrod\": 18437,\n",
            "    \"rough_bindweed, Smilax_aspera\": 19666,\n",
            "    \"rough_fish\": 3696,\n",
            "    \"rough_green_snake, Opheodrys_aestivus\": 1149,\n",
            "    \"roughage, fiber\": 12304,\n",
            "    \"roughcast\": 21810,\n",
            "    \"roughtail_stingray, Dasyatis_centroura\": 497,\n",
            "    \"roulade\": 13712,\n",
            "    \"rouleau\": 9934,\n",
            "    \"roulette, line_roulette\": 21741,\n",
            "    \"roulette, toothed_wheel\": 9935,\n",
            "    \"roulette_ball\": 9936,\n",
            "    \"roulette_wheel, wheel\": 9937,\n",
            "    \"round, unit_of_ammunition, one_shot\": 9938,\n",
            "    \"round-bottom_flask\": 9940,\n",
            "    \"round-headed_leek, Allium_sphaerocephalum\": 19579,\n",
            "    \"round-leaved_rein_orchid, Habenaria_orbiculata\": 18568,\n",
            "    \"round-tailed_muskrat, Florida_water_rat, Neofiber_alleni\": 3075,\n",
            "    \"round_arch\": 9939,\n",
            "    \"round_file\": 9942,\n",
            "    \"round_of_golf, round\": 116,\n",
            "    \"round_scad, cigarfish, quiaquia, Decapterus_punctatus\": 3893,\n",
            "    \"round_shape\": 21649,\n",
            "    \"round_whitefish, Menominee_whitefish, Prosopium_cylindraceum\": 3781,\n",
            "    \"roundel\": 9941,\n",
            "    \"rounders\": 145,\n",
            "    \"roundhead\": 16691,\n",
            "    \"roundhouse\": 9943,\n",
            "    \"router\": 9945,\n",
            "    \"router_plane\": 9946,\n",
            "    \"roux\": 13463,\n",
            "    \"rove_beetle\": 2587,\n",
            "    \"row_house, town_house\": 9948,\n",
            "    \"rowan, rowan_tree, European_mountain_ash, Sorbus_aucuparia\": 20148,\n",
            "    \"rowanberry\": 20149,\n",
            "    \"rowel\": 9947,\n",
            "    \"rowing, row\": 48,\n",
            "    \"rowing_boat\": 9949,\n",
            "    \"rowlock_arch\": 9950,\n",
            "    \"royal\": 9951,\n",
            "    \"royal, royal_stag\": 3464,\n",
            "    \"royal_agaric, Caesar's_agaric, Amanita_caesarea\": 21053,\n",
            "    \"royal_fern, royal_osmund, king_fern, ditch_fern, French_bracken, Osmunda_regalis\": 20956,\n",
            "    \"royal_mast\": 9952,\n",
            "    \"royal_palm, Roystonea_regia\": 19971,\n",
            "    \"royal_poinciana, flamboyant, flame_tree, peacock_flower, Delonix_regia, Poinciana_regia\": 19717,\n",
            "    \"royal_tennis, real_tennis, court_tennis\": 171,\n",
            "    \"rubber_band, elastic_band, elastic\": 9953,\n",
            "    \"rubber_boa, tow-headed_snake, Charina_bottae\": 1198,\n",
            "    \"rubber_boot, gum_boot\": 9954,\n",
            "    \"rubber_bullet\": 9955,\n",
            "    \"rubber_eraser, rubber, pencil_eraser\": 9956,\n",
            "    \"ruby-crowned_kinglet, ruby-crowned_wren, Regulus_calendula\": 663,\n",
            "    \"rudapithecus, Dryopithecus_Rudapithecus_hungaricus\": 3596,\n",
            "    \"rudd, Scardinius_erythrophthalmus\": 365,\n",
            "    \"rudder\": 9958,\n",
            "    \"rudder_blade\": 9959,\n",
            "    \"ruddiness, rosiness\": 12065,\n",
            "    \"ruddy_duck, Oxyura_jamaicensis\": 1529,\n",
            "    \"ruddy_turnstone, Arenaria_interpres\": 1970,\n",
            "    \"rue\": 13340,\n",
            "    \"rue, herb_of_grace, Ruta_graveolens\": 20279,\n",
            "    \"rue_anemone, Anemonella_thalictroides\": 17659,\n",
            "    \"ruff, Philomachus_pugnax\": 1988,\n",
            "    \"ruffed_grouse, partridge, Bonasa_umbellus\": 1355,\n",
            "    \"rug, carpet, carpeting\": 9960,\n",
            "    \"rugby, rugby_football, rugger\": 131,\n",
            "    \"rugby_ball\": 9961,\n",
            "    \"rugel's_plantain, broad-leaved_plantain, Plantago_rugelii\": 19981,\n",
            "    \"ruin\": 9962,\n",
            "    \"rule, ruler\": 9963,\n",
            "    \"rum\": 13888,\n",
            "    \"rum_sling\": 13969,\n",
            "    \"rumble\": 9964,\n",
            "    \"rumble_seat\": 9965,\n",
            "    \"ruminant\": 3325,\n",
            "    \"rummer\": 9966,\n",
            "    \"rumpus_room, playroom, game_room\": 9967,\n",
            "    \"runcible_spoon\": 9968,\n",
            "    \"runcinate_leaf\": 21455,\n",
            "    \"rundle, spoke, rung\": 9969,\n",
            "    \"runner\": 16695,\n",
            "    \"runner, blue_runner, Caranx_crysos\": 3876,\n",
            "    \"running_back\": 16696,\n",
            "    \"running_shoe\": 9970,\n",
            "    \"running_suit\": 9971,\n",
            "    \"runway\": 9972,\n",
            "    \"rush_aster\": 18192,\n",
            "    \"rush_grass, rush-grass\": 18780,\n",
            "    \"rusher\": 16697,\n",
            "    \"rushlight, rush_candle\": 9973,\n",
            "    \"russet\": 9974,\n",
            "    \"rust, rust_fungus\": 21225,\n",
            "    \"rust_mite\": 1297,\n",
            "    \"rustic\": 16698,\n",
            "    \"rusty_blackbird, rusty_grackle, Euphagus_carilonus\": 704,\n",
            "    \"rusty_woodsia, fragrant_woodsia, oblong_woodsia, Woodsia_ilvensis\": 21542,\n",
            "    \"rut\": 21709,\n",
            "    \"rutabaga, swede, swedish_turnip, yellow_turnip\": 12981,\n",
            "    \"rutabaga, turnip_cabbage, swede, Swedish_turnip, rutabaga_plant, Brassica_napus_napobrassica\": 18031,\n",
            "    \"rya, rya_rug\": 9975,\n",
            "    \"rye\": 18823,\n",
            "    \"rye, Secale_cereale\": 18755,\n",
            "    \"rye, rye_whiskey, rye_whisky\": 13903,\n",
            "    \"rye_bread\": 12701,\n",
            "    \"rye_ergot\": 20983,\n",
            "    \"rye_grass, ryegrass\": 18730,\n",
            "    \"sabbatia\": 19211,\n",
            "    \"saber, sabre\": 9976,\n",
            "    \"saber-toothed_tiger, sabertooth\": 2442,\n",
            "    \"saber_saw, jigsaw, reciprocating_saw\": 9977,\n",
            "    \"sabicu, Lysiloma_sabicu\": 17750,\n",
            "    \"sable\": 9978,\n",
            "    \"sable, Martes_zibellina\": 3537,\n",
            "    \"sable, sable_brush, sable's_hair_pencil\": 9979,\n",
            "    \"sable_antelope, Hippotragus_niger\": 3448,\n",
            "    \"sable_coat\": 9980,\n",
            "    \"sabot, wooden_shoe\": 9981,\n",
            "    \"saboteur, wrecker, diversionist\": 16699,\n",
            "    \"sac_fungus\": 21124,\n",
            "    \"saccharin\": 13602,\n",
            "    \"sachet\": 9982,\n",
            "    \"sack\": 13841,\n",
            "    \"sack, poke, paper_bag, carrier_bag\": 9983,\n",
            "    \"sack, sacque\": 9984,\n",
            "    \"sack_coat\": 9988,\n",
            "    \"sackbut\": 9985,\n",
            "    \"sackcloth\": 9987,\n",
            "    \"sacking, bagging\": 9989,\n",
            "    \"sacred_ibis, Threskiornis_aethiopica\": 1909,\n",
            "    \"saddle\": 9990,\n",
            "    \"saddle_blanket, saddlecloth, horse_blanket\": 9992,\n",
            "    \"saddle_hackle, saddle_feather\": 1661,\n",
            "    \"saddle_horse, riding_horse, mount\": 3210,\n",
            "    \"saddle_oxford, saddle_shoe\": 9993,\n",
            "    \"saddle_oyster, Anomia_ephippium\": 1804,\n",
            "    \"saddle_seat\": 9995,\n",
            "    \"saddle_stitch\": 9996,\n",
            "    \"saddlebag\": 9991,\n",
            "    \"saddlebill, jabiru, Ephippiorhynchus_senegalensis\": 1903,\n",
            "    \"saddlery\": 9994,\n",
            "    \"sadist\": 16700,\n",
            "    \"safe\": 9998,\n",
            "    \"safe-deposit, safe-deposit_box, safety-deposit, safety_deposit_box, deposit_box, lockbox\": 9999,\n",
            "    \"safe_house\": 10000,\n",
            "    \"safety_arch\": 10001,\n",
            "    \"safety_belt, life_belt, safety_harness\": 10002,\n",
            "    \"safety_bicycle, safety_bike\": 10003,\n",
            "    \"safety_bolt, safety_lock\": 10004,\n",
            "    \"safety_curtain\": 10005,\n",
            "    \"safety_fuse\": 10006,\n",
            "    \"safety_lamp, Davy_lamp\": 10007,\n",
            "    \"safety_match, book_matches\": 10008,\n",
            "    \"safety_net\": 10009,\n",
            "    \"safety_pin\": 10010,\n",
            "    \"safety_rail, guardrail\": 10011,\n",
            "    \"safety_razor\": 10012,\n",
            "    \"safety_valve, relief_valve, escape_valve, escape_cock, escape\": 10013,\n",
            "    \"safflower, false_saffron, Carthamus_tinctorius\": 18225,\n",
            "    \"safflower_seed\": 18226,\n",
            "    \"saffron\": 13387,\n",
            "    \"saffron, saffron_crocus, Crocus_sativus\": 19530,\n",
            "    \"sage\": 13341,\n",
            "    \"sage_green\": 12032,\n",
            "    \"sage_grouse, sage_hen, Centrocercus_urophasianus\": 1354,\n",
            "    \"sagebrush_lizard, Sceloporus_graciosus\": 1042,\n",
            "    \"sagebrush_mariposa_tulip, Calochortus_macrocarpus\": 19605,\n",
            "    \"sago_palm\": 19927,\n",
            "    \"sago_palm, Cycas_revoluta\": 17340,\n",
            "    \"saguaro, sahuaro, Carnegiea_gigantea\": 17946,\n",
            "    \"saiga, Saiga_tatarica\": 3449,\n",
            "    \"sail\": 10015,\n",
            "    \"sail, canvas, canvass, sheet\": 10014,\n",
            "    \"sailboat, sailing_boat\": 10016,\n",
            "    \"sailcloth\": 10017,\n",
            "    \"sailfish\": 4038,\n",
            "    \"sailing_master, navigator\": 16701,\n",
            "    \"sailing_vessel, sailing_ship\": 10018,\n",
            "    \"sailing_warship\": 10019,\n",
            "    \"sailor's-choice, sailors_choice, Haemulon_parra\": 3915,\n",
            "    \"sailor, crewman\": 16702,\n",
            "    \"sailor_cap\": 10020,\n",
            "    \"sailor_suit\": 10021,\n",
            "    \"sainfoin, sanfoin, holy_clover, esparcet, Onobrychis_viciifolia, Onobrychis_viciaefolia\": 19852,\n",
            "    \"sake, saki, rice_beer\": 13801,\n",
            "    \"saki\": 3647,\n",
            "    \"salad\": 13260,\n",
            "    \"salad_bar\": 10022,\n",
            "    \"salad_bowl\": 10023,\n",
            "    \"salad_burnet\": 13338,\n",
            "    \"salad_burnet, burnet_bloodwort, pimpernel, Poterium_sanguisorba\": 20067,\n",
            "    \"salad_cream\": 13431,\n",
            "    \"salad_green, salad_greens\": 12891,\n",
            "    \"salad_nicoise\": 13265,\n",
            "    \"salai, Boswellia_serrata\": 20242,\n",
            "    \"salal, shallon, Gaultheria_shallon\": 19007,\n",
            "    \"salamander\": 895,\n",
            "    \"salesgirl, saleswoman, saleslady\": 16703,\n",
            "    \"salesman\": 16704,\n",
            "    \"salesperson, sales_representative, sales_rep\": 16705,\n",
            "    \"salinometer\": 10024,\n",
            "    \"sallet, salade\": 10025,\n",
            "    \"sallow\": 20336,\n",
            "    \"salmagundi\": 13264,\n",
            "    \"salmi\": 12440,\n",
            "    \"salmon\": 3761,\n",
            "    \"salmon_loaf\": 13714,\n",
            "    \"salmonberry, Rubus_spectabilis\": 20144,\n",
            "    \"salmonberry, salmon_berry, thimbleberry, Rubus_parviflorus\": 20145,\n",
            "    \"salmonid\": 3760,\n",
            "    \"salon\": 10027,\n",
            "    \"salon, beauty_salon, beauty_parlor, beauty_parlour, beauty_shop\": 10028,\n",
            "    \"salp, salpa\": 425,\n",
            "    \"salpiglossis\": 20843,\n",
            "    \"salsa\": 13360,\n",
            "    \"salsify\": 12973,\n",
            "    \"salsify, oyster_plant, vegetable_oyster, Tragopogon_porrifolius\": 18462,\n",
            "    \"salsilla, Bomarea_edulis\": 19535,\n",
            "    \"salsilla, Bomarea_salsilla\": 19536,\n",
            "    \"salt, table_salt, common_salt\": 13291,\n",
            "    \"salt-rising_bread\": 12706,\n",
            "    \"salt_marsh_mallow, Kosteletzya_virginica\": 18894,\n",
            "    \"salt_reed_grass, Spartina_cynosuroides\": 18776,\n",
            "    \"saltbox\": 10029,\n",
            "    \"saltbush\": 17914,\n",
            "    \"saltcellar\": 10030,\n",
            "    \"saltine\": 12763,\n",
            "    \"saltpan\": 14387,\n",
            "    \"saltshaker, salt_shaker\": 10031,\n",
            "    \"saltworks\": 10032,\n",
            "    \"saltwort, Batis_maritima\": 17904,\n",
            "    \"saltwort, barilla, glasswort, kali, kelpwort, Salsola_kali, Salsola_soda\": 17925,\n",
            "    \"salvager, salvor\": 16706,\n",
            "    \"salver\": 10033,\n",
            "    \"salwar, shalwar\": 10034,\n",
            "    \"samara, key_fruit, key\": 18485,\n",
            "    \"sambar, sambur, Cervus_unicolor\": 3471,\n",
            "    \"sambuca\": 13929,\n",
            "    \"samisen, shamisen\": 10036,\n",
            "    \"samite\": 10037,\n",
            "    \"samosa\": 12620,\n",
            "    \"samovar\": 10038,\n",
            "    \"sampan\": 10039,\n",
            "    \"sand\": 21811,\n",
            "    \"sand_blackberry, Rubus_cuneifolius\": 20132,\n",
            "    \"sand_cat\": 2410,\n",
            "    \"sand_cherry, Prunus_pumila, Prunus_pumilla_susquehanae, Prunus_susquehanae, Prunus_cuneata\": 20113,\n",
            "    \"sand_cricket, Jerusalem_cricket, Stenopelmatus_fuscus\": 2730,\n",
            "    \"sand_dab\": 4126,\n",
            "    \"sand_devil's_claw, Proboscidea_arenaria, Martynia_arenaria\": 20743,\n",
            "    \"sand_dollar\": 3014,\n",
            "    \"sand_dropseed, Sporobolus_cryptandrus\": 18779,\n",
            "    \"sand_fly, sandfly, Phlebotomus_papatasii\": 2652,\n",
            "    \"sand_lance, sand_launce, sand_eel, launce\": 4004,\n",
            "    \"sand_leek, giant_garlic, Spanish_garlic, rocambole, Allium_scorodoprasum\": 19574,\n",
            "    \"sand_lizard, Lacerta_agilis\": 1078,\n",
            "    \"sand_myrtle, Leiophyllum_buxifolium\": 19017,\n",
            "    \"sand_rat\": 3183,\n",
            "    \"sand_rat, Meriones_longifrons\": 3097,\n",
            "    \"sand_sage, silvery_wormwood, Artemisia_filifolia\": 18155,\n",
            "    \"sand_sedge, sand_reed, Carex_arenaria\": 18806,\n",
            "    \"sand_snake\": 1184,\n",
            "    \"sand_spurry, sea_spurry, Spergularia_rubra\": 17884,\n",
            "    \"sand_stargazer\": 3990,\n",
            "    \"sand_tiger, sand_shark, Carcharias_taurus, Odontaspis_taurus\": 465,\n",
            "    \"sand_verbena\": 17929,\n",
            "    \"sand_wedge\": 10045,\n",
            "    \"sandal\": 10040,\n",
            "    \"sandalwood_tree, true_sandalwood, Santalum_album\": 20370,\n",
            "    \"sandbag\": 10041,\n",
            "    \"sandbank\": 14388,\n",
            "    \"sandbar, sand_bar\": 14389,\n",
            "    \"sandbar_shark, Carcharhinus_plumbeus\": 469,\n",
            "    \"sandblaster\": 10042,\n",
            "    \"sandbox\": 10043,\n",
            "    \"sanderling, Crocethia_alba\": 1986,\n",
            "    \"sandglass\": 10044,\n",
            "    \"sandgrouse, sand_grouse\": 1420,\n",
            "    \"sandpiper\": 1972,\n",
            "    \"sandpit\": 14390,\n",
            "    \"sandwich\": 12770,\n",
            "    \"sandwich_board\": 10046,\n",
            "    \"sandwich_plate\": 12771,\n",
            "    \"sandwichman\": 16707,\n",
            "    \"sandwort\": 17846,\n",
            "    \"sandwort, Moehringia_lateriflora\": 17872,\n",
            "    \"sandwort, Moehringia_mucosa\": 17873,\n",
            "    \"sandy_mushroom, Tricholoma_populinum\": 21101,\n",
            "    \"sangoma\": 16708,\n",
            "    \"sanguinary_ant, Formica_sanguinea\": 2712,\n",
            "    \"sanguine\": 12017,\n",
            "    \"sanicle, snakeroot\": 20930,\n",
            "    \"sanitary_landfill\": 14391,\n",
            "    \"sanitary_napkin, sanitary_towel, Kotex\": 10047,\n",
            "    \"sannup\": 16709,\n",
            "    \"sansevieria, bowstring_hemp\": 19684,\n",
            "    \"sapling\": 21318,\n",
            "    \"sapodilla, sapodilla_plum, sapota\": 13153,\n",
            "    \"sapodilla, sapodilla_tree, Manilkara_zapota, Achras_zapota\": 20481,\n",
            "    \"sapote, mammee, marmalade_plum\": 13154,\n",
            "    \"sapper\": 16710,\n",
            "    \"saprobe\": 21341,\n",
            "    \"sapsago\": 13575,\n",
            "    \"sapsucker\": 1494,\n",
            "    \"sarcenet, sarsenet\": 10049,\n",
            "    \"sarcodinian, sarcodine\": 304,\n",
            "    \"sarcophagus\": 10050,\n",
            "    \"sardine\": 3753,\n",
            "    \"sargassum_fish\": 3802,\n",
            "    \"sari, saree\": 10051,\n",
            "    \"sarong\": 10052,\n",
            "    \"sarsaparilla\": 19664,\n",
            "    \"sash, window_sash\": 10053,\n",
            "    \"sash_fastener, sash_lock, window_lock\": 10054,\n",
            "    \"sash_window\": 10055,\n",
            "    \"sashimi\": 13737,\n",
            "    \"saskatoon, serviceberry, shadberry, juneberry\": 13037,\n",
            "    \"sassaby, topi, Damaliscus_lunatus\": 3433,\n",
            "    \"sassafras\": 13310,\n",
            "    \"sassafras, sassafras_tree, Sassafras_albidum\": 17605,\n",
            "    \"satchel\": 10056,\n",
            "    \"sateen\": 10057,\n",
            "    \"satellite, artificial_satellite, orbiter\": 10058,\n",
            "    \"satellite_receiver\": 10059,\n",
            "    \"satellite_television, satellite_TV\": 10060,\n",
            "    \"satellite_transmitter\": 10061,\n",
            "    \"satin\": 10062,\n",
            "    \"satin_bowerbird, satin_bird, Ptilonorhynchus_violaceus\": 799,\n",
            "    \"satinleaf, satin_leaf, caimitillo, damson_plum, Chrysophyllum_oliviforme\": 20479,\n",
            "    \"satinwood, satinwood_tree, Chloroxylon_swietenia\": 20254,\n",
            "    \"satrap\": 16712,\n",
            "    \"satsuma\": 13050,\n",
            "    \"satsuma, satsuma_tree\": 20290,\n",
            "    \"saturniid, saturniid_moth\": 2954,\n",
            "    \"satyr_orchid, Coeloglossum_bracteatum\": 18521,\n",
            "    \"sauce\": 13400,\n",
            "    \"sauce_Louis\": 13419,\n",
            "    \"saucepan\": 10064,\n",
            "    \"saucepot\": 10065,\n",
            "    \"saucer_magnolia, Chinese_magnolia, Magnolia_soulangiana\": 17617,\n",
            "    \"sauerbraten\": 13716,\n",
            "    \"sauerkraut\": 13717,\n",
            "    \"sauna, sweat_room\": 10066,\n",
            "    \"saunterer, stroller, ambler\": 16713,\n",
            "    \"saurian\": 1023,\n",
            "    \"saurischian, saurischian_dinosaur\": 1112,\n",
            "    \"sauropod, sauropod_dinosaur\": 1113,\n",
            "    \"saury, billfish, Scomberesox_saurus\": 3808,\n",
            "    \"sausage_curl\": 12087,\n",
            "    \"sausage_dog, sausage_hound\": 2199,\n",
            "    \"sausage_pizza\": 13699,\n",
            "    \"saute\": 12651,\n",
            "    \"savings_bank, coin_bank, money_box, bank\": 10067,\n",
            "    \"savory\": 20721,\n",
            "    \"savory, savoury\": 13343,\n",
            "    \"savoy_cabbage\": 18023,\n",
            "    \"savoy_cabbage, savoy\": 12834,\n",
            "    \"saw\": 10068,\n",
            "    \"saw_palmetto, scrub_palmetto, Serenoa_repens\": 19974,\n",
            "    \"saw_set\": 10072,\n",
            "    \"sawed-off_shotgun\": 10069,\n",
            "    \"sawfish\": 493,\n",
            "    \"sawfly\": 2700,\n",
            "    \"sawhorse, horse, sawbuck, buck\": 10070,\n",
            "    \"sawmill\": 10071,\n",
            "    \"sawpit\": 14392,\n",
            "    \"sawwort, Serratula_tinctoria\": 18421,\n",
            "    \"sawyer\": 16715,\n",
            "    \"sawyer, sawyer_beetle\": 2545,\n",
            "    \"sax, saxophone\": 10073,\n",
            "    \"saxhorn\": 10074,\n",
            "    \"saxifrage, breakstone, rockfoil\": 20518,\n",
            "    \"scabbard\": 10075,\n",
            "    \"scabious, scabiosa\": 20219,\n",
            "    \"scablands\": 14393,\n",
            "    \"scad\": 3888,\n",
            "    \"scaffolding, staging\": 10076,\n",
            "    \"scalded_milk\": 13506,\n",
            "    \"scale\": 10077,\n",
            "    \"scale, weighing_machine\": 10078,\n",
            "    \"scale_fern, scaly_fern, Asplenium_ceterach, Ceterach_officinarum\": 21495,\n",
            "    \"scale_insect\": 2785,\n",
            "    \"scalene_triangle\": 21685,\n",
            "    \"scaler\": 10079,\n",
            "    \"scaling_ladder\": 10080,\n",
            "    \"scallop, crenation, crenature, crenel, crenelle\": 21671,\n",
            "    \"scallop, scollop, escallop\": 1815,\n",
            "    \"scallop_shell\": 1668,\n",
            "    \"scallopine, scallopini\": 13718,\n",
            "    \"scalp\": 12149,\n",
            "    \"scalpel\": 10081,\n",
            "    \"scalper\": 16716,\n",
            "    \"scaly_lentinus, Lentinus_lepideus\": 21052,\n",
            "    \"scammony, Convolvulus_scammonia\": 20599,\n",
            "    \"scammony, Ipomoea_orizabensis\": 20608,\n",
            "    \"scampi\": 13720,\n",
            "    \"scandalmonger\": 16717,\n",
            "    \"scanner\": 10083,\n",
            "    \"scanner, digital_scanner, image_scanner\": 10084,\n",
            "    \"scanner, electronic_scanner\": 10082,\n",
            "    \"scantling, stud\": 10085,\n",
            "    \"scape, flower_stalk\": 21356,\n",
            "    \"scapegrace, black_sheep\": 16718,\n",
            "    \"scaphopod\": 1751,\n",
            "    \"scapular\": 3565,\n",
            "    \"scarab, scarabaeus, Scarabaeus_sacer\": 2558,\n",
            "    \"scarabaeid_beetle, scarabaeid, scarabaean\": 2556,\n",
            "    \"scarf\": 10086,\n",
            "    \"scarf_joint, scarf\": 10087,\n",
            "    \"scarlet_bugler, Penstemon_centranthifolius\": 20770,\n",
            "    \"scarlet_bush, scarlet_hamelia, coloradillo, Hamelia_patens, Hamelia_erecta\": 20182,\n",
            "    \"scarlet_clematis, Clematis_texensis\": 17672,\n",
            "    \"scarlet_fritillary, Fritillaria_recurva\": 19626,\n",
            "    \"scarlet_haw, Crataegus_biltmoreana\": 20036,\n",
            "    \"scarlet_lychnis, maltese_cross, Lychins_chalcedonica\": 17870,\n",
            "    \"scarlet_musk_flower, Nyctaginia_capitata\": 17928,\n",
            "    \"scarlet_oak, Quercus_coccinea\": 19113,\n",
            "    \"scarlet_pimpernel, red_pimpernel, poor_man's_weatherglass, Anagallis_arvensis\": 18638,\n",
            "    \"scarlet_plume, Euphorbia_fulgens\": 20868,\n",
            "    \"scarlet_runner, running_postman, Kennedia_prostrata\": 19813,\n",
            "    \"scarlet_runner, scarlet_runner_bean, Dutch_case-knife_bean, runner_bean, Phaseolus_coccineus, Phaseolus_multiflorus\": 19865,\n",
            "    \"scarlet_runner, scarlet_runner_bean, runner_bean, English_runner_bean\": 12927,\n",
            "    \"scarlet_tanager, Piranga_olivacea, redbird, firebird\": 785,\n",
            "    \"scarlet_wisteria_tree, vegetable_hummingbird, Sesbania_grandiflora\": 19893,\n",
            "    \"scatter_rug, throw_rug\": 10088,\n",
            "    \"scaup, scaup_duck, bluebill, broadbill\": 1536,\n",
            "    \"scauper, scorper\": 10089,\n",
            "    \"scavenger\": 188,\n",
            "    \"scene_painter\": 16719,\n",
            "    \"scented_fern, Mohria_caffrorum\": 20965,\n",
            "    \"scentless_camomile, scentless_false_camomile, scentless_mayweed, scentless_hayweed, corn_mayweed, Tripleurospermum_inodorum, Matricaria_inodorum\": 18464,\n",
            "    \"schemer, plotter\": 16720,\n",
            "    \"schipperke\": 2292,\n",
            "    \"schistosome, blood_fluke\": 1722,\n",
            "    \"schizocarp\": 21424,\n",
            "    \"schizopetalon, Schizopetalon_walkeri\": 18076,\n",
            "    \"schizophrenic\": 16721,\n",
            "    \"schlemiel, shlemiel\": 16722,\n",
            "    \"schlockmeister, shlockmeister\": 16723,\n",
            "    \"schnapps, schnaps\": 13891,\n",
            "    \"schnauzer\": 2246,\n",
            "    \"schnitzel, Wiener_schnitzel\": 13746,\n",
            "    \"scholar, scholarly_person, bookman, student\": 16724,\n",
            "    \"scholiast\": 16725,\n",
            "    \"school, schoolhouse\": 10091,\n",
            "    \"school_bell\": 10093,\n",
            "    \"school_bus\": 10094,\n",
            "    \"school_newspaper, school_paper\": 12181,\n",
            "    \"school_ship, training_ship\": 10095,\n",
            "    \"school_system\": 10096,\n",
            "    \"schoolbag\": 10092,\n",
            "    \"schoolchild, school-age_child, pupil\": 16726,\n",
            "    \"schoolfriend\": 16727,\n",
            "    \"schoolmaster\": 16729,\n",
            "    \"schoolmaster, Lutjanus_apodus\": 3908,\n",
            "    \"schoolmate, classmate, schoolfellow, class_fellow\": 16730,\n",
            "    \"schoolyard\": 14186,\n",
            "    \"schooner\": 10098,\n",
            "    \"sciaenid_fish, sciaenid\": 3932,\n",
            "    \"scientific_instrument\": 10099,\n",
            "    \"scientist\": 16731,\n",
            "    \"scilla, squill\": 19643,\n",
            "    \"scimitar\": 10100,\n",
            "    \"scintillation_counter\": 10101,\n",
            "    \"scion\": 16732,\n",
            "    \"scissors, pair_of_scissors\": 10102,\n",
            "    \"scissortail, scissortailed_flycatcher, Muscivora-forficata\": 630,\n",
            "    \"sclerite\": 1666,\n",
            "    \"sclerometer\": 10103,\n",
            "    \"sclerotinia\": 20986,\n",
            "    \"sclerotium\": 21123,\n",
            "    \"scoffer, flouter, mocker, jeerer\": 16733,\n",
            "    \"scofflaw\": 16734,\n",
            "    \"scoinson_arch, sconcheon_arch\": 10104,\n",
            "    \"scolopendrium\": 21496,\n",
            "    \"scombroid, scombroid_fish\": 4017,\n",
            "    \"sconce\": 10106,\n",
            "    \"scone\": 12737,\n",
            "    \"scoop\": 10107,\n",
            "    \"scooter\": 10108,\n",
            "    \"scops_owl\": 883,\n",
            "    \"scoreboard\": 10109,\n",
            "    \"scorekeeper, scorer\": 16735,\n",
            "    \"scorer\": 16736,\n",
            "    \"scorpaenid, scorpaenid_fish\": 4070,\n",
            "    \"scorpaenoid, scorpaenoid_fish\": 4069,\n",
            "    \"scorpioid_cyme\": 21368,\n",
            "    \"scorpion\": 1260,\n",
            "    \"scorpion_fly\": 2528,\n",
            "    \"scorpion_shell\": 1756,\n",
            "    \"scorpionfish, scorpion_fish, sea_scorpion\": 4071,\n",
            "    \"scorpionweed, scorpion_weed, phacelia\": 20631,\n",
            "    \"scorzonera, black_salsify\": 12975,\n",
            "    \"scoter, scooter\": 1546,\n",
            "    \"scourer\": 16737,\n",
            "    \"scouring_pad\": 10110,\n",
            "    \"scouring_rush, rough_horsetail, Equisetum_hyemale, Equisetum_hyemale_robustum, Equisetum_robustum\": 21581,\n",
            "    \"scout, talent_scout\": 16738,\n",
            "    \"scoutmaster\": 16739,\n",
            "    \"scow\": 10112,\n",
            "    \"scrambled_eggs\": 13484,\n",
            "    \"scrambler\": 16740,\n",
            "    \"scraper\": 10113,\n",
            "    \"scrapple\": 13723,\n",
            "    \"scratcher\": 16741,\n",
            "    \"screamer\": 1578,\n",
            "    \"screech_owl\": 882,\n",
            "    \"screech_owl, Otus_asio\": 881,\n",
            "    \"screen\": 10117,\n",
            "    \"screen, CRT_screen\": 10118,\n",
            "    \"screen, cover, covert, concealment\": 10116,\n",
            "    \"screen_actor, movie_actor\": 16742,\n",
            "    \"screen_door, screen\": 10119,\n",
            "    \"screening\": 10120,\n",
            "    \"screw\": 10123,\n",
            "    \"screw, screw_propeller\": 10122,\n",
            "    \"screw_augur, Spiranthes_cernua\": 18612,\n",
            "    \"screw_bean\": 17758,\n",
            "    \"screw_bean, screwbean, tornillo, screwbean_mesquite, Prosopis_pubescens\": 17757,\n",
            "    \"screw_eye\": 10125,\n",
            "    \"screw_key\": 10126,\n",
            "    \"screw_thread, thread\": 10127,\n",
            "    \"screw_tree\": 18935,\n",
            "    \"screw_wrench\": 10129,\n",
            "    \"screwdriver\": 13963,\n",
            "    \"screwtop\": 10128,\n",
            "    \"scriber, scribe, scratch_awl\": 10130,\n",
            "    \"scrim\": 10131,\n",
            "    \"scrimshaw\": 10132,\n",
            "    \"scriptorium\": 10133,\n",
            "    \"scrub_beefwood, beefwood, Stenocarpus_salignus\": 18978,\n",
            "    \"scrub_brush, scrubbing_brush, scrubber\": 10135,\n",
            "    \"scrub_oak\": 19128,\n",
            "    \"scrub_pine, Virginia_pine, Jersey_pine, Pinus_virginiana\": 17386,\n",
            "    \"scrub_plane\": 10136,\n",
            "    \"scrubber\": 10134,\n",
            "    \"scrubbird, scrub-bird, scrub_bird\": 604,\n",
            "    \"scrubland\": 14183,\n",
            "    \"scrumpy\": 13994,\n",
            "    \"scrutineer, canvasser\": 16743,\n",
            "    \"scuba_diver\": 16744,\n",
            "    \"scuba_diving\": 44,\n",
            "    \"scuffer\": 10137,\n",
            "    \"scuffle, scuffle_hoe, Dutch_hoe\": 10138,\n",
            "    \"scull\": 10140,\n",
            "    \"scullery\": 10141,\n",
            "    \"sculling\": 49,\n",
            "    \"sculptor, sculpturer, carver, statue_maker\": 16745,\n",
            "    \"sculpture\": 10142,\n",
            "    \"scup, northern_porgy, northern_scup, Stenotomus_chrysops\": 3930,\n",
            "    \"scup, southern_porgy, southern_scup, Stenotomus_aculeatus\": 3931,\n",
            "    \"scuppernong\": 13124,\n",
            "    \"scurvy_grass, common_scurvy_grass, Cochlearia_officinalis\": 18047,\n",
            "    \"scute\": 1665,\n",
            "    \"scuttle, coal_scuttle\": 10143,\n",
            "    \"scyphozoan\": 1682,\n",
            "    \"scyphus\": 10144,\n",
            "    \"scythe\": 10145,\n",
            "    \"sea_anemone, anemone\": 1692,\n",
            "    \"sea_aster, sea_starwort, Aster_tripolium\": 18177,\n",
            "    \"sea_boat\": 10147,\n",
            "    \"sea_bream, bream\": 3920,\n",
            "    \"sea_catfish\": 3718,\n",
            "    \"sea_chest\": 10148,\n",
            "    \"sea_chub\": 3965,\n",
            "    \"sea_cow, sirenian_mammal, sirenian\": 2133,\n",
            "    \"sea_cucumber, holothurian\": 3019,\n",
            "    \"sea_dahlia, Coreopsis_maritima\": 18263,\n",
            "    \"sea_duck\": 1544,\n",
            "    \"sea_eagle\": 853,\n",
            "    \"sea_fan\": 1698,\n",
            "    \"sea_feather\": 1697,\n",
            "    \"sea_gooseberry\": 1707,\n",
            "    \"sea_green\": 12031,\n",
            "    \"sea_hare, Aplysia_punctata\": 1778,\n",
            "    \"sea_holly, sea_holm, sea_eryngium, Eryngium_maritimum\": 20913,\n",
            "    \"sea_island_cotton, tree_cotton, Gossypium_barbadense\": 18878,\n",
            "    \"sea_kale, sea_cole, Crambe_maritima\": 18048,\n",
            "    \"sea_lamprey, Petromyzon_marinus\": 441,\n",
            "    \"sea_lavender, marsh_rosemary, statice\": 18662,\n",
            "    \"sea_lily\": 3017,\n",
            "    \"sea_lion\": 2147,\n",
            "    \"sea_louse, sea_slater\": 1880,\n",
            "    \"sea_lyme_grass, European_dune_grass, Elymus_arenarius, Leymus_arenaria\": 18717,\n",
            "    \"sea_milkwort, sea_trifoly, black_saltwort, Glaux_maritima\": 18643,\n",
            "    \"sea_moss\": 331,\n",
            "    \"sea_mouse\": 1745,\n",
            "    \"sea_otter, Enhydra_lutris\": 3520,\n",
            "    \"sea_pen\": 1694,\n",
            "    \"sea_raven, Hemitripterus_americanus\": 4082,\n",
            "    \"sea_robin, searobin\": 4092,\n",
            "    \"sea_scallop, giant_scallop, Pecten_magellanicus\": 1817,\n",
            "    \"sea_slug, nudibranch\": 1777,\n",
            "    \"sea_snake\": 1230,\n",
            "    \"sea_spider, pycnogonid\": 1306,\n",
            "    \"sea_squill, sea_onion, squill, Urginea_maritima\": 19647,\n",
            "    \"sea_squirt\": 424,\n",
            "    \"sea_swallow, Sterna_hirundo\": 2037,\n",
            "    \"sea_trout\": 3949,\n",
            "    \"sea_turtle, marine_turtle\": 992,\n",
            "    \"sea_urchin\": 3012,\n",
            "    \"sea_wormwood, Seriphidium_maritimum, Artemisia_maritima\": 18420,\n",
            "    \"seabag\": 10146,\n",
            "    \"seabeach_sandwort, Arenaria_peploides\": 17849,\n",
            "    \"seabird, sea_bird, seafowl\": 1961,\n",
            "    \"seafood_Newburg\": 13679,\n",
            "    \"seagrass\": 317,\n",
            "    \"seahorse, sea_horse\": 405,\n",
            "    \"seal\": 2140,\n",
            "    \"sealing_wax, seal\": 10149,\n",
            "    \"sealskin\": 10150,\n",
            "    \"seam\": 10151,\n",
            "    \"seaplane, hydroplane\": 10152,\n",
            "    \"searcher, searcher_beetle, Calosoma_scrutator\": 2541,\n",
            "    \"searchlight\": 10153,\n",
            "    \"searing_iron\": 10154,\n",
            "    \"seashell\": 1790,\n",
            "    \"seashore, coast, seacoast, sea-coast\": 14394,\n",
            "    \"seashore_mallow\": 18893,\n",
            "    \"seaside, seaboard\": 14395,\n",
            "    \"seaside_alder, Alnus_maritima\": 19168,\n",
            "    \"seaside_centaury\": 19188,\n",
            "    \"seaside_daisy, beach_aster, Erigeron_glaucous\": 18289,\n",
            "    \"seaside_goldenrod, beach_goldenrod, Solidago_sempervirens\": 18432,\n",
            "    \"seasnail\": 1765,\n",
            "    \"seasonal_worker, seasonal\": 16747,\n",
            "    \"seasoned_salt\": 13294,\n",
            "    \"seasoner\": 16748,\n",
            "    \"seat\": 10157,\n",
            "    \"seat_belt, seatbelt\": 10158,\n",
            "    \"secateurs\": 10159,\n",
            "    \"seckel, seckel_pear\": 13179,\n",
            "    \"second-in-command\": 16753,\n",
            "    \"second-rater, mediocrity\": 16755,\n",
            "    \"second_balcony, family_circle, upper_balcony, peanut_gallery\": 10161,\n",
            "    \"second_base\": 10162,\n",
            "    \"second_baseman, second_sacker\": 16749,\n",
            "    \"second_cousin\": 16750,\n",
            "    \"second_fiddle, second_banana\": 16752,\n",
            "    \"second_hand\": 10163,\n",
            "    \"second_lieutenant, 2nd_lieutenant\": 16754,\n",
            "    \"secondary_coil, secondary_winding, secondary\": 10160,\n",
            "    \"seconder\": 16751,\n",
            "    \"secretary\": 16756,\n",
            "    \"secretary, writing_table, escritoire, secretaire\": 10164,\n",
            "    \"secretary_bird, Sagittarius_serpentarius\": 865,\n",
            "    \"sectarian, sectary, sectarist\": 16761,\n",
            "    \"section_hand\": 16762,\n",
            "    \"sectional\": 10165,\n",
            "    \"secularist\": 16763,\n",
            "    \"security_blanket\": 10166,\n",
            "    \"security_consultant\": 16764,\n",
            "    \"security_system\": 10168,\n",
            "    \"security_system, security_measure, security\": 10167,\n",
            "    \"sedan, saloon\": 10169,\n",
            "    \"sedan, sedan_chair\": 10170,\n",
            "    \"sedge_warbler, sedge_bird, sedge_wren, reedbird, Acrocephalus_schoenobaenus\": 669,\n",
            "    \"sedge_wren, short-billed_marsh_wren, Cistothorus_platensis\": 745,\n",
            "    \"sedum\": 20505,\n",
            "    \"seed\": 21376,\n",
            "    \"seed_beetle, seed_weevil\": 2591,\n",
            "    \"seed_shrimp, mussel_shrimp, ostracod\": 1890,\n",
            "    \"seeded_player, seed\": 16765,\n",
            "    \"seeded_raisin\": 13083,\n",
            "    \"seeder\": 10171,\n",
            "    \"seeder, cloud_seeder\": 16766,\n",
            "    \"seedless_raisin, sultana\": 13082,\n",
            "    \"seedling\": 17328,\n",
            "    \"seeker\": 10172,\n",
            "    \"seeker, searcher, quester\": 16767,\n",
            "    \"seersucker\": 10173,\n",
            "    \"segmental_arch\": 10174,\n",
            "    \"sego_lily, Calochortus_nuttallii\": 19606,\n",
            "    \"segregate\": 16768,\n",
            "    \"segregator, segregationist\": 16769,\n",
            "    \"sei_whale, Balaenoptera_borealis\": 2109,\n",
            "    \"seidel\": 10176,\n",
            "    \"seif_dune\": 14396,\n",
            "    \"seine\": 10177,\n",
            "    \"seismograph\": 10178,\n",
            "    \"seizure-alert_dog\": 2327,\n",
            "    \"selectman\": 16770,\n",
            "    \"selector, selector_switch\": 10179,\n",
            "    \"selectwoman\": 16771,\n",
            "    \"selenium_cell\": 10180,\n",
            "    \"self-heal, heal_all, Prunella_vulgaris\": 20709,\n",
            "    \"self-propelled_vehicle\": 10181,\n",
            "    \"self-registering_thermometer\": 10182,\n",
            "    \"self-rising_flour, self-raising_flour\": 12449,\n",
            "    \"self-starter\": 16773,\n",
            "    \"selfish_person\": 16772,\n",
            "    \"seller, marketer, vender, vendor, trafficker\": 16774,\n",
            "    \"selling_agent\": 16775,\n",
            "    \"selsyn, synchro\": 10184,\n",
            "    \"seltzer\": 14092,\n",
            "    \"selvage, selvedge\": 10185,\n",
            "    \"semanticist, semiotician\": 16776,\n",
            "    \"semaphore\": 10186,\n",
            "    \"semi-climber\": 17304,\n",
            "    \"semi-detached_house\": 10190,\n",
            "    \"semi-skimmed_milk\": 13514,\n",
            "    \"semiautomatic_firearm\": 10187,\n",
            "    \"semiautomatic_pistol, semiautomatic\": 10188,\n",
            "    \"semiconductor_device, semiconductor_unit, semiconductor\": 10189,\n",
            "    \"semidesert\": 14123,\n",
            "    \"semifinalist\": 16777,\n",
            "    \"semigloss\": 10191,\n",
            "    \"seminarian, seminarist\": 16778,\n",
            "    \"semitrailer, semi\": 10192,\n",
            "    \"semolina\": 12311,\n",
            "    \"senator\": 16779,\n",
            "    \"sendee\": 16780,\n",
            "    \"senega, Polygala_alba\": 20274,\n",
            "    \"senior\": 16781,\n",
            "    \"senior_vice_president\": 16782,\n",
            "    \"senna\": 19726,\n",
            "    \"sennit\": 10193,\n",
            "    \"sensitive_fern, bead_fern, Onoclea_sensibilis\": 21532,\n",
            "    \"sensitometer\": 10194,\n",
            "    \"sensory_fiber, afferent_fiber\": 12143,\n",
            "    \"sensualist\": 14497,\n",
            "    \"sentry_box\": 10195,\n",
            "    \"separate\": 10196,\n",
            "    \"separatist, separationist\": 16783,\n",
            "    \"septic_tank\": 10197,\n",
            "    \"septuagenarian\": 16784,\n",
            "    \"sequence, episode\": 10198,\n",
            "    \"sequencer, sequenator\": 10199,\n",
            "    \"serape, sarape\": 10200,\n",
            "    \"serf, helot, villein\": 16785,\n",
            "    \"serge\": 10201,\n",
            "    \"sergeant_major, Abudefduf_saxatilis\": 3976,\n",
            "    \"serger\": 10202,\n",
            "    \"serial_port\": 10203,\n",
            "    \"sericea_lespedeza, Lespedeza_sericea, Lespedeza_cuneata\": 19829,\n",
            "    \"serin\": 560,\n",
            "    \"serjeant-at-law, serjeant, sergeant-at-law, sergeant\": 16787,\n",
            "    \"serotine, European_brown_bat, Eptesicus_serotinus\": 2498,\n",
            "    \"serow\": 3423,\n",
            "    \"serpent\": 10204,\n",
            "    \"serranid_fish, serranid\": 3847,\n",
            "    \"serration\": 10205,\n",
            "    \"serval, Felis_serval\": 2417,\n",
            "    \"server\": 16788,\n",
            "    \"server, host\": 10207,\n",
            "    \"service_club\": 10208,\n",
            "    \"service_tree, sorb_apple, sorb_apple_tree, Sorbus_domestica\": 20152,\n",
            "    \"serviceman, military_man, man, military_personnel\": 16789,\n",
            "    \"serving_cart\": 10209,\n",
            "    \"serving_dish\": 10210,\n",
            "    \"servo, servomechanism, servosystem\": 10211,\n",
            "    \"sesame_seed, benniseed\": 13388,\n",
            "    \"set\": 10212,\n",
            "    \"set_gun, spring_gun\": 10213,\n",
            "    \"set_square\": 10216,\n",
            "    \"setscrew\": 10215,\n",
            "    \"settee\": 10217,\n",
            "    \"setter\": 2269,\n",
            "    \"settle, settee\": 10218,\n",
            "    \"settlement_house\": 10219,\n",
            "    \"settler\": 16791,\n",
            "    \"settler, colonist\": 16790,\n",
            "    \"seventeen-year_locust, periodical_cicada, Magicicada_septendecim\": 2812,\n",
            "    \"seventy-eight, 78\": 10220,\n",
            "    \"sewage_disposal_plant, disposal_plant\": 10222,\n",
            "    \"sewer, sewerage, cloaca\": 10223,\n",
            "    \"sewer_rat\": 3058,\n",
            "    \"sewing_basket\": 10224,\n",
            "    \"sewing_kit\": 10225,\n",
            "    \"sewing_machine\": 10226,\n",
            "    \"sewing_needle\": 10227,\n",
            "    \"sewing_room\": 10228,\n",
            "    \"sex_symbol\": 16792,\n",
            "    \"sextant\": 10229,\n",
            "    \"sexton, sacristan\": 16793,\n",
            "    \"sgraffito\": 10230,\n",
            "    \"shackle\": 10232,\n",
            "    \"shackle, bond, hamper, trammel\": 10231,\n",
            "    \"shad\": 3744,\n",
            "    \"shade\": 10233,\n",
            "    \"shade, tint, tincture, tone\": 12008,\n",
            "    \"shade_tree\": 21319,\n",
            "    \"shading\": 11992,\n",
            "    \"shadow_box\": 10234,\n",
            "    \"shaft\": 10235,\n",
            "    \"shag_rug\": 10236,\n",
            "    \"shagbark, shagbark_hickory, shellbark, shellbark_hickory, Carya_ovata\": 19274,\n",
            "    \"shaggymane, shaggy_cap, shaggymane_mushroom, Coprinus_comatus\": 21065,\n",
            "    \"shaheed\": 16794,\n",
            "    \"shaker\": 10237,\n",
            "    \"shallot\": 12890,\n",
            "    \"shallot, eschalot, multiplier_onion, Allium_cepa_aggregatum, Allium_ascalonicum\": 19567,\n",
            "    \"shallu, Sorghum_vulgare_rosburghii\": 18773,\n",
            "    \"shamrock_pea, Parochetus_communis\": 19860,\n",
            "    \"shanghaier, seizer\": 16796,\n",
            "    \"shank\": 10238,\n",
            "    \"shank, stem\": 10239,\n",
            "    \"shanny, Blennius_pholis\": 3992,\n",
            "    \"shantung\": 10240,\n",
            "    \"shaper, shaping_machine\": 10241,\n",
            "    \"shaping_tool\": 10242,\n",
            "    \"sharecropper, cropper, sharecrop_farmer\": 16797,\n",
            "    \"shark\": 452,\n",
            "    \"sharkskin\": 10243,\n",
            "    \"sharksucker, Echeneis_naucrates\": 3870,\n",
            "    \"sharp-tailed_grouse, sprigtail, sprig_tail, Pedioecetes_phasianellus\": 1356,\n",
            "    \"sharpener\": 10244,\n",
            "    \"sharptail_mola, Mola_lanceolata\": 4108,\n",
            "    \"shasta_daisy, Leucanthemum_superbum, Chrysanthemum_maximum_maximum\": 18361,\n",
            "    \"shaver\": 16798,\n",
            "    \"shaver, electric_shaver, electric_razor\": 10246,\n",
            "    \"shaving-brush_tree, Pseudobombax_ellipticum\": 18917,\n",
            "    \"shaving_brush\": 10247,\n",
            "    \"shaving_cream, shaving_soap\": 10248,\n",
            "    \"shaving_foam\": 10249,\n",
            "    \"shawl\": 10250,\n",
            "    \"shawm\": 10251,\n",
            "    \"she-oak\": 18982,\n",
            "    \"shears\": 10252,\n",
            "    \"shearwater\": 2094,\n",
            "    \"sheath\": 10253,\n",
            "    \"sheathing, overlay, overlayer\": 10254,\n",
            "    \"shebeen\": 13781,\n",
            "    \"shed\": 10255,\n",
            "    \"sheep\": 16800,\n",
            "    \"sheep-tick, sheep_tick, Ixodes_ricinus\": 1283,\n",
            "    \"sheep_bell\": 10256,\n",
            "    \"sheep_botfly, sheep_gadfly, Oestrus_ovis\": 2623,\n",
            "    \"sheep_frog\": 980,\n",
            "    \"sheep_ked, sheep-tick, sheep_tick, Melophagus_Ovinus\": 2636,\n",
            "    \"sheep_plant, vegetable_sheep, Raoulia_lutescens, Raoulia_australis\": 18397,\n",
            "    \"sheep_sorrel, sheep's_sorrel, Rumex_acetosella\": 19993,\n",
            "    \"sheepshank\": 10257,\n",
            "    \"sheepshead, Archosargus_probatocephalus\": 3925,\n",
            "    \"sheepshead_porgy, Calamus_penna\": 3927,\n",
            "    \"sheepskin_coat, afghan\": 10258,\n",
            "    \"sheepwalk, sheeprun\": 10259,\n",
            "    \"sheet, bed_sheet\": 10260,\n",
            "    \"sheet_bend, becket_bend, weaver's_knot, weaver's_hitch\": 10261,\n",
            "    \"sheet_pile, sheath_pile, sheet_piling\": 10263,\n",
            "    \"sheeting\": 10262,\n",
            "    \"sheik, tribal_sheik, sheikh, tribal_sheikh, Arab_chief\": 16801,\n",
            "    \"sheikdom, sheikhdom\": 14141,\n",
            "    \"sheldrake\": 1527,\n",
            "    \"shelduck\": 1528,\n",
            "    \"shelf\": 10265,\n",
            "    \"shelf_bracket\": 10266,\n",
            "    \"shell\": 14397,\n",
            "    \"shell, case, casing\": 10268,\n",
            "    \"shell, racing_shell\": 10269,\n",
            "    \"shell_bean\": 12930,\n",
            "    \"shellac, shellac_varnish\": 10270,\n",
            "    \"shellflower, shall-flower, shell_ginger, Alpinia_Zerumbet, Alpinia_speciosa, Languas_speciosa\": 19374,\n",
            "    \"shellflower, shell-flower, turtlehead, snakehead, snake-head, Chelone_glabra\": 20760,\n",
            "    \"shelter\": 10273,\n",
            "    \"sheltered_workshop\": 10274,\n",
            "    \"shelver\": 16802,\n",
            "    \"shepherd\": 16803,\n",
            "    \"shepherd's_purse, shepherd's_pouch, Capsella_bursa-pastoris\": 18038,\n",
            "    \"shepherd_dog, sheepdog, sheep_dog\": 2293,\n",
            "    \"sherbert, sherbet\": 12571,\n",
            "    \"sherry\": 13863,\n",
            "    \"shield\": 10277,\n",
            "    \"shield, buckler\": 10276,\n",
            "    \"shield_fern, buckler_fern\": 21511,\n",
            "    \"shielding\": 10278,\n",
            "    \"shift_key, shift\": 10279,\n",
            "    \"shiitake, shiitake_mushroom, Chinese_black_mushroom, golden_oak_mushroom, Oriental_black_mushroom, Lentinus_edodes\": 21051,\n",
            "    \"shillelagh, shillalah\": 10280,\n",
            "    \"shim\": 10281,\n",
            "    \"shin_guard, shinpad\": 10283,\n",
            "    \"shiner\": 14398,\n",
            "    \"shingle\": 10282,\n",
            "    \"shingle_oak, laurel_oak, Quercus_imbricaria\": 19120,\n",
            "    \"shingle_tree, Acrocarpus_fraxinifolius\": 19706,\n",
            "    \"shining_clubmoss, Lycopodium_lucidulum\": 21586,\n",
            "    \"shining_willow, Salix_lucida\": 20346,\n",
            "    \"shinny, shinney\": 125,\n",
            "    \"ship\": 10284,\n",
            "    \"ship-breaker\": 16804,\n",
            "    \"ship-towed_long-range_acoustic_detection_system\": 10288,\n",
            "    \"shipboard_system\": 10285,\n",
            "    \"shipmate\": 16805,\n",
            "    \"shipowner\": 16806,\n",
            "    \"shipping, cargo_ships, merchant_marine, merchant_vessels\": 10286,\n",
            "    \"shipping_agent\": 16807,\n",
            "    \"shipping_room\": 10287,\n",
            "    \"shipworm, teredinid\": 1818,\n",
            "    \"shipwreck\": 10289,\n",
            "    \"shire, shire_horse\": 3268,\n",
            "    \"shirred_egg, baked_egg, egg_en_cocotte\": 13486,\n",
            "    \"shirt\": 10290,\n",
            "    \"shirt_button\": 10291,\n",
            "    \"shirtdress\": 10292,\n",
            "    \"shirtfront\": 10293,\n",
            "    \"shirting\": 10294,\n",
            "    \"shirtmaker\": 16808,\n",
            "    \"shirtsleeve\": 10295,\n",
            "    \"shirttail\": 10296,\n",
            "    \"shirtwaist, shirtwaister\": 10297,\n",
            "    \"shit, dump\": 21634,\n",
            "    \"shittah, shittah_tree\": 17728,\n",
            "    \"shiv\": 10298,\n",
            "    \"shoal\": 14399,\n",
            "    \"shock_absorber, shock, cushion\": 10299,\n",
            "    \"shoe\": 10301,\n",
            "    \"shoe_shop, shoe-shop, shoe_store\": 10304,\n",
            "    \"shoebill, shoebird, Balaeniceps_rex\": 1906,\n",
            "    \"shoebox\": 10302,\n",
            "    \"shoehorn\": 10303,\n",
            "    \"shoestring_fungus\": 21607,\n",
            "    \"shoetree\": 10305,\n",
            "    \"shofar, shophar\": 10306,\n",
            "    \"shogun\": 16809,\n",
            "    \"shoji\": 10307,\n",
            "    \"shoot-'em-up\": 12236,\n",
            "    \"shooting_brake\": 10308,\n",
            "    \"shooting_lodge, shooting_box\": 10309,\n",
            "    \"shooting_stick\": 10310,\n",
            "    \"shop, store\": 10311,\n",
            "    \"shop_bell\": 10312,\n",
            "    \"shop_girl\": 16811,\n",
            "    \"shop_steward, steward\": 16812,\n",
            "    \"shopaholic\": 16810,\n",
            "    \"shopping_bag\": 10313,\n",
            "    \"shopping_basket\": 10314,\n",
            "    \"shopping_cart\": 10315,\n",
            "    \"shore\": 14400,\n",
            "    \"shore_pine, lodgepole, lodgepole_pine, spruce_pine, Pinus_contorta\": 17377,\n",
            "    \"shorebird, shore_bird, limicoline_bird\": 1962,\n",
            "    \"shoreline\": 14401,\n",
            "    \"short-horned_grasshopper, acridid\": 2723,\n",
            "    \"short-spurred_fragrant_orchid, Gymnadenia_odoratissima\": 18555,\n",
            "    \"short-tailed_shrew, Blarina_brevicauda\": 1646,\n",
            "    \"short_circuit, short\": 10316,\n",
            "    \"short_iron\": 10317,\n",
            "    \"short_pants, shorts, trunks\": 10318,\n",
            "    \"short_sleeve\": 10319,\n",
            "    \"shortcake\": 12761,\n",
            "    \"shortfin_mako, Isurus_oxyrhincus\": 457,\n",
            "    \"shortgrass, short-grass\": 18667,\n",
            "    \"shortia\": 19056,\n",
            "    \"shortleaf_pine, short-leaf_pine, shortleaf_yellow_pine, Pinus_echinata\": 17383,\n",
            "    \"shortwave_diathermy_machine\": 10320,\n",
            "    \"shot\": 10321,\n",
            "    \"shot_glass, jigger, pony\": 10322,\n",
            "    \"shot_putter\": 16813,\n",
            "    \"shot_tower\": 10325,\n",
            "    \"shotgun, scattergun\": 10323,\n",
            "    \"shotgun_shell\": 10324,\n",
            "    \"shoulder\": 10326,\n",
            "    \"shoulder_bag\": 10327,\n",
            "    \"shoulder_holster\": 10329,\n",
            "    \"shoulder_pad\": 10330,\n",
            "    \"shoulder_patch\": 10331,\n",
            "    \"shouldered_arch\": 10328,\n",
            "    \"shovel\": 10333,\n",
            "    \"shovel_hat\": 10334,\n",
            "    \"shoveler, shoveller, broadbill, Anas_clypeata\": 1525,\n",
            "    \"shovelhead, bonnethead, bonnet_shark, Sphyrna_tiburo\": 489,\n",
            "    \"showboat\": 10335,\n",
            "    \"shower\": 10336,\n",
            "    \"shower_cap\": 10337,\n",
            "    \"shower_curtain\": 10338,\n",
            "    \"shower_room\": 10339,\n",
            "    \"shower_stall, shower_bath\": 10340,\n",
            "    \"showjumping, stadium_jumping\": 82,\n",
            "    \"showplace\": 14187,\n",
            "    \"showroom, salesroom, saleroom\": 10341,\n",
            "    \"showy_daisy, Erigeron_speciosus\": 18292,\n",
            "    \"showy_goldenrod\": 18438,\n",
            "    \"showy_milkweed, Asclepias_speciosa\": 21618,\n",
            "    \"showy_orchis, purple_orchis, purple-hooded_orchis, Orchis_spectabilis\": 18500,\n",
            "    \"showy_sunflower, Helianthus_laetiflorus\": 18329,\n",
            "    \"shrapnel\": 10342,\n",
            "    \"shredder\": 10343,\n",
            "    \"shrew, shrewmouse\": 1643,\n",
            "    \"shrew, termagant\": 16814,\n",
            "    \"shrew_mole\": 1640,\n",
            "    \"shrike\": 789,\n",
            "    \"shrimp\": 1865,\n",
            "    \"shrimp_Newburg\": 13681,\n",
            "    \"shrimp_butter\": 13582,\n",
            "    \"shrimp_cocktail\": 12362,\n",
            "    \"shrimper\": 10344,\n",
            "    \"shrimpfish, shrimp-fish\": 407,\n",
            "    \"shrine\": 10345,\n",
            "    \"shrink-wrap\": 10346,\n",
            "    \"shrubby_St_John's_wort, Hypericum_prolificum, Hypericum_spathulatum\": 19408,\n",
            "    \"shrubby_penstemon, lowbush_penstemon, Penstemon_fruticosus\": 20775,\n",
            "    \"shuffleboard, shovelboard\": 122,\n",
            "    \"shuffler\": 16815,\n",
            "    \"shunt\": 10347,\n",
            "    \"shunt, electrical_shunt, bypass\": 10348,\n",
            "    \"shunter\": 10349,\n",
            "    \"shutter\": 10351,\n",
            "    \"shuttle\": 10353,\n",
            "    \"shuttle_bus\": 10354,\n",
            "    \"shuttle_helicopter\": 10356,\n",
            "    \"shuttlecock, bird, birdie, shuttle\": 10355,\n",
            "    \"shyster, pettifogger\": 16816,\n",
            "    \"siamang, Hylobates_syndactylus, Symphalangus_syndactylus\": 3613,\n",
            "    \"sibling, sib\": 16817,\n",
            "    \"sick_person, diseased_person, sufferer\": 16818,\n",
            "    \"sickbay, sick_berth\": 10358,\n",
            "    \"sickbed\": 10359,\n",
            "    \"sickle, reaping_hook, reap_hook\": 10360,\n",
            "    \"sickle_alfalfa, sickle_lucerne, sickle_medick, Medicago_falcata\": 19843,\n",
            "    \"sickle_cell\": 12127,\n",
            "    \"sickle_feather\": 1658,\n",
            "    \"sicklepod, Arabis_Canadensis\": 18013,\n",
            "    \"sicklepod, Senna_obtusifolia, Cassia_tora\": 19730,\n",
            "    \"sickroom\": 10361,\n",
            "    \"side-blotched_lizard, sand_lizard, Uta_stansburiana\": 1043,\n",
            "    \"side-wheeler\": 10369,\n",
            "    \"side_chapel\": 10364,\n",
            "    \"side_dish, side_order, entremets\": 12351,\n",
            "    \"sideboard\": 10362,\n",
            "    \"sidecar\": 13964,\n",
            "    \"sidelight, running_light\": 10365,\n",
            "    \"sideline, out_of_bounds\": 14189,\n",
            "    \"sideroblast\": 12117,\n",
            "    \"siderocyte\": 12128,\n",
            "    \"sidesaddle\": 10366,\n",
            "    \"sidewalk, pavement\": 10367,\n",
            "    \"sidewall\": 10368,\n",
            "    \"sidewinder\": 10370,\n",
            "    \"sidewinder, horned_rattlesnake, Crotalus_cerastes\": 1245,\n",
            "    \"sierra, Scomberomorus_sierra\": 4027,\n",
            "    \"sieva_bean, butter_bean, butter-bean_plant, lima_bean, Phaseolus_lunatus\": 19867,\n",
            "    \"sieva_bean, butter_bean, butterbean, civet_bean\": 12933,\n",
            "    \"sieve, screen\": 10371,\n",
            "    \"sifter\": 10372,\n",
            "    \"sightreader\": 16819,\n",
            "    \"sights\": 10373,\n",
            "    \"sigmoidoscope, flexible_sigmoidoscope\": 10374,\n",
            "    \"sign\": 12240,\n",
            "    \"signal_box, signal_tower\": 10375,\n",
            "    \"signal_detection, detection\": 12212,\n",
            "    \"signaler, signaller\": 16820,\n",
            "    \"signaling_device\": 10376,\n",
            "    \"signboard, sign\": 10377,\n",
            "    \"signer\": 16821,\n",
            "    \"signor, signior\": 16822,\n",
            "    \"signora\": 16823,\n",
            "    \"signore\": 16824,\n",
            "    \"signorina\": 16825,\n",
            "    \"silage, ensilage\": 13225,\n",
            "    \"sild\": 3754,\n",
            "    \"silencer, muffler\": 10378,\n",
            "    \"silene, campion, catchfly\": 17876,\n",
            "    \"silent_butler\": 10379,\n",
            "    \"silent_partner, sleeping_partner\": 16826,\n",
            "    \"silique, siliqua\": 17547,\n",
            "    \"silk\": 10381,\n",
            "    \"silk_tree, Albizia_julibrissin, Albizzia_julibrissin\": 17740,\n",
            "    \"silk_vine, Periploca_graeca\": 21624,\n",
            "    \"silks\": 10382,\n",
            "    \"silkworm\": 2953,\n",
            "    \"silkworm, giant_silkworm, wild_wilkworm\": 2958,\n",
            "    \"silky_anteater, two-toed_anteater, Cyclopes_didactylus\": 3561,\n",
            "    \"silky_cornel, silky_dogwood, Cornus_amomum\": 20940,\n",
            "    \"silky_dogwood, Cornus_obliqua\": 20939,\n",
            "    \"silky_oak, Grevillea_robusta\": 18964,\n",
            "    \"silky_pocket_mouse, Perognathus_flavus\": 3113,\n",
            "    \"silky_tamarin, Leontocebus_rosalia\": 3642,\n",
            "    \"silky_terrier, Sydney_silky\": 2252,\n",
            "    \"silky_wisteria, Wisteria_venusta\": 19925,\n",
            "    \"silo\": 10383,\n",
            "    \"silurid, silurid_fish\": 3708,\n",
            "    \"silver-bell_tree, silverbell_tree, snowdrop_tree, opossum_wood, Halesia_carolina, Halesia_tetraptera\": 20492,\n",
            "    \"silver_ash\": 20256,\n",
            "    \"silver_beech, Nothofagus_menziesii\": 19097,\n",
            "    \"silver_birch, common_birch, European_white_birch, Betula_pendula\": 19158,\n",
            "    \"silver_fern, Pityrogramma_argentea\": 21569,\n",
            "    \"silver_fir\": 17402,\n",
            "    \"silver_fox\": 2379,\n",
            "    \"silver_hake, Merluccius_bilinearis, whiting\": 3729,\n",
            "    \"silver_jenny, Eucinostomus_gula\": 4059,\n",
            "    \"silver_lime, silver_linden, Tilia_tomentosa\": 18950,\n",
            "    \"silver_maple, Acer_saccharinum\": 20406,\n",
            "    \"silver_perch, mademoiselle, Bairdiella_chrysoura\": 3935,\n",
            "    \"silver_plate\": 10384,\n",
            "    \"silver_sage, silver_sagebrush, grey_sage, gray_sage, Seriphidium_canum, Artemisia_cana\": 18419,\n",
            "    \"silver_screen\": 12167,\n",
            "    \"silver_tree, Leucadendron_argenteum\": 18969,\n",
            "    \"silver_tree, Tarrietia_argyrodendron\": 18942,\n",
            "    \"silver_tree_fern, sago_fern, black_tree_fern, Cyathea_medullaris\": 21501,\n",
            "    \"silver_wattle, mimosa, Acacia_dealbata\": 17733,\n",
            "    \"silver_willow, silky_willow, Salix_alba_sericea, Salix_sericea\": 20329,\n",
            "    \"silverback\": 3605,\n",
            "    \"silverfish, Lepisma_saccharina\": 2852,\n",
            "    \"silverpoint\": 10385,\n",
            "    \"silverrod, Solidago_bicolor\": 18425,\n",
            "    \"silversides, silverside\": 3960,\n",
            "    \"silverspot\": 2877,\n",
            "    \"silversword, Argyroxiphium_sandwicense\": 18145,\n",
            "    \"silvervine, silver_vine, Actinidia_polygama\": 19415,\n",
            "    \"silverweed\": 20600,\n",
            "    \"silverweed, goose-tansy, goose_grass, Potentilla_anserina\": 20066,\n",
            "    \"silvery_spleenwort, Deparia_acrostichoides, Athyrium_thelypteroides\": 21527,\n",
            "    \"silvery_spleenwort, glade_fern, narrow-leaved_spleenwort, Athyrium_pycnocarpon, Diplazium_pycnocarpon\": 21521,\n",
            "    \"simian\": 3568,\n",
            "    \"simnel\": 12707,\n",
            "    \"simperer\": 16828,\n",
            "    \"simple_closed_curve, Jordan_curve\": 21657,\n",
            "    \"simple_fruit, bacca\": 21384,\n",
            "    \"simple_pendulum\": 10386,\n",
            "    \"simulator\": 10387,\n",
            "    \"singer, vocalist, vocalizer, vocaliser\": 16829,\n",
            "    \"single-breasted_jacket\": 10389,\n",
            "    \"single-breasted_suit\": 10390,\n",
            "    \"single-leaf, single-leaf_pine, single-leaf_pinyon, Pinus_monophylla\": 17355,\n",
            "    \"single-reed_instrument, single-reed_woodwind\": 10392,\n",
            "    \"single-rotor_helicopter\": 10393,\n",
            "    \"single_bed\": 10388,\n",
            "    \"single_prop, single-propeller_plane\": 10391,\n",
            "    \"singles\": 168,\n",
            "    \"singlestick, fencing_stick, backsword\": 10394,\n",
            "    \"singlet, vest, undershirt\": 10395,\n",
            "    \"sinkhole, sink, swallow_hole\": 14402,\n",
            "    \"siphonophore\": 1686,\n",
            "    \"sipper\": 16831,\n",
            "    \"sire\": 225,\n",
            "    \"siren\": 10396,\n",
            "    \"siris, siris_tree, Albizia_lebbeck, Albizzia_lebbeck\": 17741,\n",
            "    \"sirrah\": 16832,\n",
            "    \"sisal, Agave_sisalana\": 19677,\n",
            "    \"siskin, Carduelis_spinus\": 550,\n",
            "    \"siskiyou_lewisia, Lewisia_cotyledon\": 17986,\n",
            "    \"sissoo, sissu, sisham, Dalbergia_sissoo\": 19780,\n",
            "    \"sister, sis\": 16834,\n",
            "    \"sister_ship\": 10397,\n",
            "    \"sitar\": 10398,\n",
            "    \"sitar_player\": 16836,\n",
            "    \"sitz_bath, hip_bath\": 10399,\n",
            "    \"six-pack, six_pack, sixpack\": 10400,\n",
            "    \"sixth-former\": 16837,\n",
            "    \"skate\": 10401,\n",
            "    \"skateboard\": 10402,\n",
            "    \"skateboarder\": 16838,\n",
            "    \"skateboarding\": 70,\n",
            "    \"skating\": 65,\n",
            "    \"skeg\": 10403,\n",
            "    \"skein\": 10404,\n",
            "    \"skeleton, skeletal_frame, frame, underframe\": 10405,\n",
            "    \"skeleton_fork_fern, Psilotum_nudum\": 21577,\n",
            "    \"skeleton_key\": 10406,\n",
            "    \"skeleton_shrimp\": 1882,\n",
            "    \"skep\": 10408,\n",
            "    \"skeptic, sceptic, doubter\": 16839,\n",
            "    \"sketch, study\": 10409,\n",
            "    \"sketcher\": 16840,\n",
            "    \"skew_arch\": 10411,\n",
            "    \"skewer\": 10412,\n",
            "    \"ski\": 10413,\n",
            "    \"ski-plane\": 10426,\n",
            "    \"ski_binding, binding\": 10414,\n",
            "    \"ski_boot\": 10416,\n",
            "    \"ski_cap, stocking_cap, toboggan_cap\": 10417,\n",
            "    \"ski_jump\": 10421,\n",
            "    \"ski_jumping\": 28,\n",
            "    \"ski_lodge\": 10422,\n",
            "    \"ski_mask\": 10423,\n",
            "    \"ski_parka, ski_jacket\": 10425,\n",
            "    \"ski_pole\": 10427,\n",
            "    \"ski_rack\": 10428,\n",
            "    \"ski_resort\": 14190,\n",
            "    \"ski_slope\": 14403,\n",
            "    \"ski_tow, ski_lift, lift\": 10431,\n",
            "    \"skibob\": 10415,\n",
            "    \"skid_lid\": 10419,\n",
            "    \"skidder\": 16841,\n",
            "    \"skier\": 16842,\n",
            "    \"skiff\": 10420,\n",
            "    \"skiing\": 26,\n",
            "    \"skillet_bread, fry_bread\": 12700,\n",
            "    \"skillet_corn_bread\": 12717,\n",
            "    \"skilly\": 12792,\n",
            "    \"skim_milk, skimmed_milk\": 13513,\n",
            "    \"skimmer\": 10424,\n",
            "    \"skin, tegument, cutis\": 12074,\n",
            "    \"skin-diver, aquanaut\": 16844,\n",
            "    \"skin_diving, skin-dive\": 43,\n",
            "    \"skin_graft\": 12075,\n",
            "    \"skinhead\": 16845,\n",
            "    \"skink, scincid, scincid_lizard\": 1051,\n",
            "    \"skinny-dipper\": 16843,\n",
            "    \"skipjack, Atlantic_bonito, Sarda_sarda\": 4033,\n",
            "    \"skipjack, skipjack_tuna, Euthynnus_pelamis\": 4035,\n",
            "    \"skirret, Sium_sisarum\": 20935,\n",
            "    \"skirt\": 10430,\n",
            "    \"skua, bonxie\": 2041,\n",
            "    \"skullcap\": 10433,\n",
            "    \"skullcap, helmetflower\": 20724,\n",
            "    \"skunk, polecat, wood_pussy\": 3521,\n",
            "    \"skunk_cabbage, Lysichiton_americanum\": 17804,\n",
            "    \"skunk_cabbage, polecat_weed, foetid_pothos, Symplocarpus_foetidus\": 17815,\n",
            "    \"skunkweed, skunk-weed, Polemonium_viscosum\": 20561,\n",
            "    \"sky\": 14404,\n",
            "    \"skybox\": 10434,\n",
            "    \"skyhook\": 10435,\n",
            "    \"skylark, Alauda_arvensis\": 541,\n",
            "    \"skylight, fanlight\": 10436,\n",
            "    \"skysail\": 10437,\n",
            "    \"skyscraper\": 10438,\n",
            "    \"skywalk\": 10439,\n",
            "    \"slack_suit\": 10441,\n",
            "    \"slacks\": 10440,\n",
            "    \"slash_pocket\": 10443,\n",
            "    \"slasher\": 16846,\n",
            "    \"slat, spline\": 10444,\n",
            "    \"slate\": 10445,\n",
            "    \"slate_pencil\": 10446,\n",
            "    \"slate_roof\": 10447,\n",
            "    \"slattern, slut, slovenly_woman, trollop\": 16847,\n",
            "    \"slave-making_ant, slave-maker\": 2711,\n",
            "    \"slave_ant\": 2709,\n",
            "    \"sled, sledge, sleigh\": 10448,\n",
            "    \"sled_dog, sledge_dog\": 2328,\n",
            "    \"sledding\": 57,\n",
            "    \"sleeper\": 16849,\n",
            "    \"sleeper, sleeper_goby\": 4008,\n",
            "    \"sleeper, slumberer\": 16848,\n",
            "    \"sleeping_bag\": 10451,\n",
            "    \"sleeping_beauty\": 16850,\n",
            "    \"sleeping_car, sleeper, wagon-lit\": 10452,\n",
            "    \"sleeve\": 10454,\n",
            "    \"sleeve, arm\": 10453,\n",
            "    \"sleigh_bed\": 10455,\n",
            "    \"sleigh_bell, cascabel\": 10456,\n",
            "    \"slender-tailed_meerkat, Suricata_suricatta\": 2470,\n",
            "    \"slender_centaury\": 19189,\n",
            "    \"slender_knapweed\": 18211,\n",
            "    \"slender_loris, Loris_gracilis\": 3658,\n",
            "    \"slender_rush, Juncus_tenuis\": 17706,\n",
            "    \"slender_salamander, worm_salamander\": 925,\n",
            "    \"slender_wheatgrass, Agropyron_trachycaulum, Agropyron_pauciflorum, Elymus_trachycaulos\": 18677,\n",
            "    \"slender_wild_oat, Avena_barbata\": 18689,\n",
            "    \"sleuth, sleuthhound\": 16851,\n",
            "    \"slice_bar\": 10457,\n",
            "    \"slicer\": 10459,\n",
            "    \"slick, slick_magazine, glossy\": 12232,\n",
            "    \"slide, playground_slide, sliding_board\": 10460,\n",
            "    \"slide_fastener, zip, zipper, zip_fastener\": 10461,\n",
            "    \"slide_projector\": 10462,\n",
            "    \"slide_rule, slipstick\": 10463,\n",
            "    \"slide_valve\": 10464,\n",
            "    \"slider, yellow-bellied_terrapin, Pseudemys_scripta\": 1008,\n",
            "    \"sliding_door\": 10465,\n",
            "    \"sliding_seat\": 10466,\n",
            "    \"sliding_window\": 10467,\n",
            "    \"slime_mold, slime_mould\": 21001,\n",
            "    \"sling\": 13966,\n",
            "    \"sling, scarf_bandage, triangular_bandage\": 10468,\n",
            "    \"slingback, sling\": 10470,\n",
            "    \"slinger_ring\": 10471,\n",
            "    \"slip-joint_pliers\": 10474,\n",
            "    \"slip-on\": 10476,\n",
            "    \"slip_clutch, slip_friction_clutch\": 10472,\n",
            "    \"slip_ring\": 10478,\n",
            "    \"slipcover\": 10473,\n",
            "    \"slipknot\": 10475,\n",
            "    \"slipper, carpet_slipper\": 10477,\n",
            "    \"slipper_spurge, slipper_plant\": 20886,\n",
            "    \"slippery_dick, Halicoeres_bivittatus\": 3980,\n",
            "    \"slippery_elm, red_elm, Ulmus_rubra\": 19504,\n",
            "    \"slipskin_grape\": 13125,\n",
            "    \"slit_lamp\": 10479,\n",
            "    \"slit_trench\": 10480,\n",
            "    \"slivovitz\": 13882,\n",
            "    \"slob, sloven, pig, slovenly_person\": 16852,\n",
            "    \"sloe\": 13076,\n",
            "    \"sloe_gin\": 13884,\n",
            "    \"sloganeer\": 16853,\n",
            "    \"sloop\": 10481,\n",
            "    \"sloop_of_war\": 10482,\n",
            "    \"slop, slops, swill, pigswill, pigwash\": 13251,\n",
            "    \"slop_basin, slop_bowl\": 10483,\n",
            "    \"slop_pail, slop_jar\": 10484,\n",
            "    \"slope, incline, side\": 14405,\n",
            "    \"slops\": 10485,\n",
            "    \"slopseller, slop-seller\": 16854,\n",
            "    \"slopshop, slopseller's_shop\": 10486,\n",
            "    \"slot, one-armed_bandit\": 10487,\n",
            "    \"slot_machine, coin_machine\": 10488,\n",
            "    \"sloth, tree_sloth\": 3553,\n",
            "    \"sloth_bear, Melursus_ursinus, Ursus_ursinus\": 2454,\n",
            "    \"slow_loris, Nycticebus_tardigradua, Nycticebus_pygmaeus\": 3659,\n",
            "    \"slug\": 13999,\n",
            "    \"slugger, slogger\": 15062,\n",
            "    \"sluice, sluiceway, penstock\": 10489,\n",
            "    \"slumgullion\": 12442,\n",
            "    \"smack\": 10490,\n",
            "    \"small-leaved_linden, small-leaved_lime, Tilia_cordata\": 18947,\n",
            "    \"small_boat\": 10491,\n",
            "    \"small_civet, Viverricula_indica, Viverricula_malaccensis\": 2458,\n",
            "    \"small_computer_system_interface, SCSI\": 10492,\n",
            "    \"small_ship\": 10493,\n",
            "    \"small_stores\": 10494,\n",
            "    \"small_white, Pieris_rapae\": 2885,\n",
            "    \"small_white_aster\": 18194,\n",
            "    \"smalleye_hammerhead, Sphyrna_tudes\": 488,\n",
            "    \"smallmouth, smallmouth_bass, smallmouthed_bass, smallmouth_black_bass, smallmouthed_black_bass, Micropterus_dolomieu\": 3844,\n",
            "    \"smalltooth_sawfish, Pristis_pectinatus\": 494,\n",
            "    \"smart_bomb\": 10495,\n",
            "    \"smasher, stunner, knockout, beauty, ravisher, sweetheart, peach, lulu, looker, mantrap, dish\": 16855,\n",
            "    \"smelling_bottle\": 10496,\n",
            "    \"smelt\": 3782,\n",
            "    \"smew, Mergus_albellus\": 1553,\n",
            "    \"smilax, Asparagus_asparagoides\": 19589,\n",
            "    \"smilo, smilo_grass, Oryzopsis_miliacea\": 18737,\n",
            "    \"smirker\": 16856,\n",
            "    \"smith, metalworker\": 16857,\n",
            "    \"smocking\": 10497,\n",
            "    \"smoke_bomb, smoke_grenade\": 10498,\n",
            "    \"smoke_bush\": 18959,\n",
            "    \"smoke_screen, smokescreen\": 10501,\n",
            "    \"smokehouse, meat_house\": 10499,\n",
            "    \"smoker, smoking_car, smoking_carriage, smoking_compartment\": 10500,\n",
            "    \"smoking_room\": 10502,\n",
            "    \"smooth-haired_fox_terrier\": 2235,\n",
            "    \"smooth-leaved_elm, European_field_elm, Ulmus_carpinifolia\": 19495,\n",
            "    \"smooth_alder, hazel_alder, Alnus_serrulata\": 19172,\n",
            "    \"smooth_aster\": 18195,\n",
            "    \"smooth_crabgrass, Digitaria_ischaemum\": 18708,\n",
            "    \"smooth_darling_pea, Swainsona_galegifolia\": 17718,\n",
            "    \"smooth_dogfish\": 478,\n",
            "    \"smooth_green_snake, Opheodrys_vernalis\": 1148,\n",
            "    \"smooth_hammerhead, Sphyrna_zygaena\": 487,\n",
            "    \"smooth_lip_fern, Alabama_lip_fern, Cheilanthes_alabamensis\": 21556,\n",
            "    \"smooth_muscle_cell\": 12135,\n",
            "    \"smooth_plane, smoothing_plane\": 10504,\n",
            "    \"smooth_softshell, Trionyx_muticus\": 1021,\n",
            "    \"smooth_sumac, scarlet_sumac, vinegar_tree, Rhus_glabra\": 20447,\n",
            "    \"smooth_winterberry_holly\": 20436,\n",
            "    \"smooth_woodsia, Woodsia_glabella\": 21544,\n",
            "    \"smoothbark\": 19315,\n",
            "    \"smoothbore\": 10503,\n",
            "    \"smoothhound, smoothhound_shark, Mustelus_mustelus\": 479,\n",
            "    \"smoothie\": 13943,\n",
            "    \"smoothie, smoothy, sweet_talker, charmer\": 16858,\n",
            "    \"smorgasbord\": 12443,\n",
            "    \"smuggler, runner, contrabandist, moon_curser, moon-curser\": 16859,\n",
            "    \"smut, smut_fungus\": 21231,\n",
            "    \"smut_grass, blackseed, carpet_grass, Sporobolus_poiretii\": 18778,\n",
            "    \"snack_bar, snack_counter, buffet\": 10505,\n",
            "    \"snack_food\": 12818,\n",
            "    \"snaffle, snaffle_bit\": 10506,\n",
            "    \"snag\": 21311,\n",
            "    \"snail\": 1759,\n",
            "    \"snail_butter\": 13592,\n",
            "    \"snail_darter, Percina_tanasi\": 3820,\n",
            "    \"snailflower, snail-flower, snail_flower, snail_bean, corkscrew_flower, Vigna_caracalla, Phaseolus_caracalla\": 19914,\n",
            "    \"snake's_head_fritillary, guinea-hen_flower, checkered_daffodil, leper_lily, Fritillaria_meleagris\": 19624,\n",
            "    \"snake, serpent, ophidian\": 1140,\n",
            "    \"snake_mackerel, Gempylus_serpens\": 4013,\n",
            "    \"snake_muishond, Poecilogale_albinucha\": 3515,\n",
            "    \"snake_polypody, Microgramma-piloselloides\": 21474,\n",
            "    \"snakebird, anhinga, darter\": 2075,\n",
            "    \"snakefly\": 2841,\n",
            "    \"snakewood, Rauwolfia_serpentina\": 17778,\n",
            "    \"snap, snap_fastener, press_stud\": 10507,\n",
            "    \"snap-brim_hat\": 10509,\n",
            "    \"snap_bean, snap\": 12924,\n",
            "    \"snap_brim\": 10508,\n",
            "    \"snapdragon\": 20746,\n",
            "    \"snapper\": 3904,\n",
            "    \"snapper, Chrysophrys_auratus\": 3928,\n",
            "    \"snapping_shrimp, pistol_shrimp\": 1866,\n",
            "    \"snapping_turtle\": 1000,\n",
            "    \"snare, gin, noose\": 10510,\n",
            "    \"snare_drum, snare, side_drum\": 10511,\n",
            "    \"snatch_block\": 10512,\n",
            "    \"sneezer\": 16860,\n",
            "    \"sneezeweed\": 18322,\n",
            "    \"snifter, brandy_snifter, brandy_glass\": 10513,\n",
            "    \"snipe\": 1996,\n",
            "    \"snipefish, bellows_fish\": 406,\n",
            "    \"sniper_rifle, precision_rifle\": 10514,\n",
            "    \"snips, tinsnips\": 10515,\n",
            "    \"snob, prig, snot, snoot\": 16861,\n",
            "    \"snood\": 10517,\n",
            "    \"snook\": 3825,\n",
            "    \"snoop, snooper\": 16862,\n",
            "    \"snorer\": 16863,\n",
            "    \"snorkel\": 10519,\n",
            "    \"snorkel, schnorkel, schnorchel, snorkel_breather, breather\": 10518,\n",
            "    \"snorkeling, snorkel_diving\": 45,\n",
            "    \"snout_beetle\": 2579,\n",
            "    \"snow, snowfall\": 17299,\n",
            "    \"snow-in-summer, love-in-a-mist, Cerastium_tomentosum\": 17853,\n",
            "    \"snow-on-the-mountain, snow-in-summer, ghost_weed, Euphorbia_marginata\": 20859,\n",
            "    \"snow_bunting, snowbird, snowflake, Plectrophenax_nivalis\": 580,\n",
            "    \"snow_goose\": 1561,\n",
            "    \"snow_gum, ghost_gum, white_ash, Eucalyptus_coriacea, Eucalyptus_pauciflora\": 19320,\n",
            "    \"snow_leopard, ounce, Panthera_uncia\": 2431,\n",
            "    \"snow_mushroom, Tremella_fuciformis\": 21220,\n",
            "    \"snow_pea, sugar_pea\": 12907,\n",
            "    \"snow_thrower, snow_blower\": 10526,\n",
            "    \"snowball\": 12579,\n",
            "    \"snowbank, snow_bank\": 10520,\n",
            "    \"snowbell, Styrax_obassia\": 20489,\n",
            "    \"snowberry, common_snowberry, waxberry, Symphoricarpos_alba\": 20202,\n",
            "    \"snowboard\": 10521,\n",
            "    \"snowcap\": 14406,\n",
            "    \"snowdrift\": 14407,\n",
            "    \"snowdrop_anemone, snowdrop_windflower, Anemone_sylvestris\": 17657,\n",
            "    \"snowfield\": 14408,\n",
            "    \"snowmobile\": 10522,\n",
            "    \"snowplow, snowplough\": 10523,\n",
            "    \"snowshoe\": 10524,\n",
            "    \"snowshoe_hare, snowshoe_rabbit, varying_hare, Lepus_americanus\": 3040,\n",
            "    \"snowsuit\": 10525,\n",
            "    \"snowy_egret, snowy_heron, Egretta_thula\": 1919,\n",
            "    \"snowy_orchid, Habenaria_nivea\": 18567,\n",
            "    \"snowy_tree_cricket, Oecanthus_fultoni\": 2736,\n",
            "    \"snuffbox\": 10527,\n",
            "    \"snuffbox_fern, meadow_fern, Thelypteris_palustris_pubescens, Dryopteris_thelypteris_pubescens\": 21599,\n",
            "    \"snuffer\": 10528,\n",
            "    \"snuffers\": 10529,\n",
            "    \"soap_dish\": 10531,\n",
            "    \"soap_dispenser\": 10532,\n",
            "    \"soap_pad\": 10533,\n",
            "    \"soapberry, soapberry_tree\": 20379,\n",
            "    \"soapberry_vine\": 20383,\n",
            "    \"soapbox\": 10530,\n",
            "    \"soapfish\": 3859,\n",
            "    \"soapsuds, suds, lather\": 14409,\n",
            "    \"soapweed, soap-weed, soap_tree, Yucca_elata\": 19691,\n",
            "    \"soapwort, hedge_pink, bouncing_Bet, bouncing_Bess, Saponaria_officinalis\": 17874,\n",
            "    \"soapwort_gentian, Gentiana_saponaria\": 19200,\n",
            "    \"sob_sister\": 16864,\n",
            "    \"sobralia\": 18610,\n",
            "    \"soccer, association_football\": 151,\n",
            "    \"soccer_ball\": 10534,\n",
            "    \"soccer_player\": 16865,\n",
            "    \"social_anthropologist, cultural_anthropologist\": 16866,\n",
            "    \"social_climber, climber\": 16867,\n",
            "    \"social_insect\": 2523,\n",
            "    \"social_scientist\": 16870,\n",
            "    \"social_secretary\": 16871,\n",
            "    \"socialist\": 16868,\n",
            "    \"socializer, socialiser\": 16869,\n",
            "    \"sociolinguist\": 16873,\n",
            "    \"sociologist\": 16874,\n",
            "    \"sock\": 10535,\n",
            "    \"socket\": 10536,\n",
            "    \"socket_wrench\": 10537,\n",
            "    \"sockeye, sockeye_salmon, red_salmon, blueback_salmon, Oncorhynchus_nerka\": 3767,\n",
            "    \"socle\": 10538,\n",
            "    \"sod_house, soddy, adobe_house\": 10542,\n",
            "    \"soda_can\": 10539,\n",
            "    \"soda_cracker\": 12764,\n",
            "    \"soda_fountain\": 10541,\n",
            "    \"soda_jerk, soda_jerker\": 16875,\n",
            "    \"soda_water, carbonated_water, club_soda, seltzer, sparkling_water\": 14090,\n",
            "    \"sodalist\": 16876,\n",
            "    \"sodium-vapor_lamp, sodium-vapour_lamp\": 10543,\n",
            "    \"sodomite, sodomist, sod, bugger\": 16877,\n",
            "    \"sofa, couch, lounge\": 10544,\n",
            "    \"soffit\": 10545,\n",
            "    \"soft-coated_wheaten_terrier\": 2255,\n",
            "    \"soft-shell_clam, steamer, steamer_clam, long-neck_clam, Mya_arenaria\": 1791,\n",
            "    \"soft-shell_crab, soft-shelled_crab\": 1840,\n",
            "    \"soft-shelled_turtle, pancake_turtle\": 1019,\n",
            "    \"soft_diet, pap, spoon_food\": 12281,\n",
            "    \"soft_drink\": 14028,\n",
            "    \"soft_pedal\": 10547,\n",
            "    \"soft_pretzel\": 12769,\n",
            "    \"soft_roll\": 12743,\n",
            "    \"soft_scale\": 2786,\n",
            "    \"soft_shield_fern, Polystichum_setiferum\": 21537,\n",
            "    \"soft_tick, argasid\": 1288,\n",
            "    \"soft_tree_fern, Dicksonia_antarctica\": 21507,\n",
            "    \"softball, playground_ball\": 10546,\n",
            "    \"softball, softball_game\": 144,\n",
            "    \"soil, dirt\": 21784,\n",
            "    \"soil_horizon\": 14191,\n",
            "    \"soil_pipe\": 10548,\n",
            "    \"solan, solan_goose, solant_goose, Sula_bassana\": 2072,\n",
            "    \"solanaceous_vegetable\": 12805,\n",
            "    \"solar_array, solar_battery, solar_panel\": 10549,\n",
            "    \"solar_cell, photovoltaic_cell\": 10550,\n",
            "    \"solar_dish, solar_collector, solar_furnace\": 10551,\n",
            "    \"solar_heater\": 10552,\n",
            "    \"solar_house\": 10553,\n",
            "    \"solar_telescope\": 10554,\n",
            "    \"solar_thermal_system\": 10555,\n",
            "    \"soldering_iron\": 10556,\n",
            "    \"soldier\": 16878,\n",
            "    \"soldierfish, soldier-fish\": 392,\n",
            "    \"sole\": 4131,\n",
            "    \"solenogaster, aplacophoran\": 1785,\n",
            "    \"solenoid\": 10557,\n",
            "    \"solid_figure, three-dimensional_figure\": 21643,\n",
            "    \"solitaire\": 652,\n",
            "    \"solitary_pussytoes\": 18134,\n",
            "    \"solitary_vireo, Vireo_solitarius\": 806,\n",
            "    \"solleret, sabaton\": 10558,\n",
            "    \"sombrero\": 10559,\n",
            "    \"son, boy\": 16879,\n",
            "    \"song_sparrow, Melospiza_melodia\": 572,\n",
            "    \"song_thrush, mavis, throstle, Turdus_philomelos\": 636,\n",
            "    \"songbird, songster\": 536,\n",
            "    \"songster\": 16880,\n",
            "    \"songstress\": 16881,\n",
            "    \"songwriter, songster, ballad_maker\": 16882,\n",
            "    \"sonic_depth_finder, fathometer\": 10560,\n",
            "    \"sonogram, echogram\": 10561,\n",
            "    \"sonograph\": 10562,\n",
            "    \"sorb, sorb_apple\": 13191,\n",
            "    \"sorcerer, magician, wizard, necromancer, thaumaturge, thaumaturgist\": 16883,\n",
            "    \"sorehead\": 16884,\n",
            "    \"sorghum\": 18766,\n",
            "    \"sorghum, sorghum_molasses\": 13607,\n",
            "    \"sorrel\": 3280,\n",
            "    \"sorrel, common_sorrel\": 12983,\n",
            "    \"sorrel_tree, Hibiscus_heterophyllus\": 18884,\n",
            "    \"sorrel_tree, sourwood, titi, Oxydendrum_arboreum\": 19027,\n",
            "    \"sorter\": 10563,\n",
            "    \"sorus\": 21297,\n",
            "    \"sou'wester\": 10581,\n",
            "    \"souari, souari_nut, souari_tree, Caryocar_nuciferum\": 19418,\n",
            "    \"souari_nut\": 13202,\n",
            "    \"souchong, soochong\": 14079,\n",
            "    \"souffle\": 13492,\n",
            "    \"souk\": 10564,\n",
            "    \"soul_food\": 14099,\n",
            "    \"soul_mate\": 16885,\n",
            "    \"soul_patch, Attilio\": 12099,\n",
            "    \"sound_bow\": 10565,\n",
            "    \"sound_camera\": 10567,\n",
            "    \"sound_film\": 10569,\n",
            "    \"sound_recording, audio_recording, audio\": 10572,\n",
            "    \"sound_spectrograph\": 10573,\n",
            "    \"soundbox, body\": 10566,\n",
            "    \"sounder\": 10568,\n",
            "    \"sounding_board, soundboard\": 10570,\n",
            "    \"sounding_rocket\": 10571,\n",
            "    \"soup\": 12370,\n",
            "    \"soup-strainer, toothbrush\": 12094,\n",
            "    \"soup_bowl\": 10574,\n",
            "    \"soup_du_jour\": 12371,\n",
            "    \"soup_ladle\": 10575,\n",
            "    \"soupfin_shark, soupfin, soup-fin, Galeorhinus_zyopterus\": 476,\n",
            "    \"soupspoon, soup_spoon\": 10576,\n",
            "    \"sour\": 13970,\n",
            "    \"sour_bread, sourdough_bread\": 12708,\n",
            "    \"sour_cherry\": 13114,\n",
            "    \"sour_cherry, Eugenia_corynantha\": 19300,\n",
            "    \"sour_cherry, sour_cherry_tree, Prunus_cerasus\": 20093,\n",
            "    \"sour_cream, soured_cream\": 13524,\n",
            "    \"sour_dock, garden_sorrel, Rumex_acetosa\": 19992,\n",
            "    \"sour_gourd, monkey_bread\": 13192,\n",
            "    \"sour_gum, black_gum, pepperidge, Nyssa_sylvatica\": 19339,\n",
            "    \"sour_mash, sour_mash_whiskey\": 13905,\n",
            "    \"sour_milk\": 13497,\n",
            "    \"sour_orange, Seville_orange, bitter_orange, bitter_orange_tree, bigarade, marmalade_orange, Citrus_aurantium\": 20282,\n",
            "    \"sour_salt\": 13295,\n",
            "    \"sourball\": 12476,\n",
            "    \"source_of_illumination\": 10577,\n",
            "    \"sourdine\": 10578,\n",
            "    \"soursop, guanabana\": 13136,\n",
            "    \"soursop, prickly_custard_apple, soursop_tree, Annona_muricata\": 17574,\n",
            "    \"soutache\": 10579,\n",
            "    \"soutane\": 10580,\n",
            "    \"southeastern_pocket_gopher, Geomys_pinetis\": 3131,\n",
            "    \"southern_aster\": 18196,\n",
            "    \"southern_beech, evergreen_beech\": 19093,\n",
            "    \"southern_bog_lemming, Synaptomys_cooperi\": 3104,\n",
            "    \"southern_buckthorn, shittimwood, shittim, mock_orange, Bumelia_lycioides\": 20476,\n",
            "    \"southern_cabbage_butterfly, Pieris_protodice\": 2887,\n",
            "    \"southern_flounder, Paralichthys_lethostigmus\": 4122,\n",
            "    \"southern_flying_squirrel, Glaucomys_volans\": 3157,\n",
            "    \"southern_live_oak, Quercus_virginiana\": 19151,\n",
            "    \"southern_magnolia, evergreen_magnolia, large-flowering_magnolia, bull_bay, Magnolia_grandiflora\": 17612,\n",
            "    \"southern_red_oak, swamp_red_oak, turkey_oak, Quercus_falcata\": 19116,\n",
            "    \"southern_spadefoot, Scaphiopus_multiplicatus\": 966,\n",
            "    \"southern_spatterdock, Nuphar_sagittifolium\": 17628,\n",
            "    \"southern_white_cedar, coast_white_cedar, Atlantic_white_cedar, white_cypress, white_cedar, Chamaecyparis_thyoides\": 17448,\n",
            "    \"southwestern_lip_fern, Cheilanthes_eatonii\": 21559,\n",
            "    \"southwestern_toad, Bufo_microscaphus\": 959,\n",
            "    \"southwestern_white_pine, Pinus_strobiformis\": 17371,\n",
            "    \"souvlaki, souvlakia\": 13677,\n",
            "    \"sovereign, crowned_head, monarch\": 16887,\n",
            "    \"sow\": 3316,\n",
            "    \"sow_bug\": 1879,\n",
            "    \"sow_thistle, milk_thistle\": 18441,\n",
            "    \"sowbane, red_goosefoot, Chenopodium_hybridum\": 17909,\n",
            "    \"sowbread, Cyclamen_hederifolium, Cyclamen_neopolitanum\": 18642,\n",
            "    \"soy, soybean, soya, soya_bean\": 12935,\n",
            "    \"soy, soybean, soya_bean\": 19805,\n",
            "    \"soy_sauce, soy\": 13378,\n",
            "    \"soya_milk, soybean_milk, soymilk\": 13498,\n",
            "    \"soybean_future\": 10582,\n",
            "    \"soybean_meal, soybean_flour, soy_flour\": 12310,\n",
            "    \"space_bar\": 10583,\n",
            "    \"space_capsule, capsule\": 10584,\n",
            "    \"space_heater\": 10586,\n",
            "    \"space_helmet\": 10587,\n",
            "    \"space_rocket\": 10588,\n",
            "    \"space_shuttle\": 10589,\n",
            "    \"space_station, space_platform, space_laboratory\": 10590,\n",
            "    \"spacecraft, ballistic_capsule, space_vehicle\": 10585,\n",
            "    \"spacesuit\": 10591,\n",
            "    \"spacewalker\": 16888,\n",
            "    \"spackle, spackling_compound\": 21812,\n",
            "    \"spade\": 10592,\n",
            "    \"spade_bit\": 10593,\n",
            "    \"spadefish, angelfish, Chaetodipterus_faber\": 3967,\n",
            "    \"spadefoot, spadefoot_toad\": 964,\n",
            "    \"spadix\": 21370,\n",
            "    \"spaghetti\": 12788,\n",
            "    \"spaghetti_Western\": 12237,\n",
            "    \"spaghetti_and_meatballs\": 13724,\n",
            "    \"spaghetti_junction\": 10594,\n",
            "    \"spaghetti_sauce, pasta_sauce\": 13454,\n",
            "    \"spaghetti_squash\": 18834,\n",
            "    \"spandex\": 10596,\n",
            "    \"spandrel, spandril\": 10597,\n",
            "    \"spaniel\": 2274,\n",
            "    \"spanker\": 10598,\n",
            "    \"spar\": 10599,\n",
            "    \"spar, sparring\": 55,\n",
            "    \"sparge_pipe\": 10600,\n",
            "    \"sparid, sparid_fish\": 3919,\n",
            "    \"spark_arrester\": 10602,\n",
            "    \"spark_arrester, sparker\": 10601,\n",
            "    \"spark_chamber, spark_counter\": 10603,\n",
            "    \"spark_coil\": 10604,\n",
            "    \"spark_gap\": 10605,\n",
            "    \"spark_lever\": 10606,\n",
            "    \"spark_plug, sparking_plug, plug\": 10607,\n",
            "    \"spark_transmitter\": 10609,\n",
            "    \"sparkling_wine\": 13808,\n",
            "    \"sparkplug_wrench\": 10608,\n",
            "    \"sparling, European_smelt, Osmerus_eperlanus\": 3783,\n",
            "    \"sparring_partner, sparring_mate\": 16890,\n",
            "    \"sparrow, true_sparrow\": 583,\n",
            "    \"sparrow_hawk, Accipiter_nisus\": 817,\n",
            "    \"sparrow_hawk, American_kestrel, kestrel, Falco_sparverius\": 840,\n",
            "    \"spastic\": 16891,\n",
            "    \"spat\": 1788,\n",
            "    \"spat, gaiter\": 10610,\n",
            "    \"spathiphyllum, peace_lily, spathe_flower\": 17814,\n",
            "    \"spatula\": 10612,\n",
            "    \"spatulate_leaf\": 21447,\n",
            "    \"spawn\": 413,\n",
            "    \"spawner\": 3701,\n",
            "    \"speaker, talker, utterer, verbalizer, verbaliser\": 16892,\n",
            "    \"speakerphone\": 10613,\n",
            "    \"speaking_trumpet\": 10614,\n",
            "    \"spear, gig, fizgig, fishgig, lance\": 10616,\n",
            "    \"spear, lance, shaft\": 10615,\n",
            "    \"spearfish\": 4046,\n",
            "    \"spearmint, Mentha_spicata\": 20688,\n",
            "    \"spearmint_oil\": 13288,\n",
            "    \"spearnose_bat\": 2483,\n",
            "    \"special\": 12352,\n",
            "    \"specialist, medical_specialist\": 16896,\n",
            "    \"specialty_store\": 10617,\n",
            "    \"specifier\": 16897,\n",
            "    \"specimen\": 12102,\n",
            "    \"specimen_bottle\": 10618,\n",
            "    \"speckled_alder, Alnus_rugosa\": 19171,\n",
            "    \"speckled_rattlesnake, Crotalus_mitchellii\": 1250,\n",
            "    \"spectacle\": 10619,\n",
            "    \"spectacled_caiman, Caiman_sclerops\": 1096,\n",
            "    \"spectacles, specs, eyeglasses, glasses\": 10620,\n",
            "    \"spectator, witness, viewer, watcher, looker\": 16898,\n",
            "    \"spectator_pump, spectator\": 10621,\n",
            "    \"spectrograph\": 10622,\n",
            "    \"spectrophotometer\": 10623,\n",
            "    \"spectroscope, prism_spectroscope\": 10624,\n",
            "    \"speculum\": 10625,\n",
            "    \"speech_therapist\": 16899,\n",
            "    \"speechwriter\": 16895,\n",
            "    \"speed_bump\": 10627,\n",
            "    \"speed_skate, racing_skate\": 10629,\n",
            "    \"speed_skating\": 71,\n",
            "    \"speedboat\": 10626,\n",
            "    \"speedometer, speed_indicator\": 10628,\n",
            "    \"speedskater, speed_skater\": 16900,\n",
            "    \"spellbinder\": 16901,\n",
            "    \"spelt, Triticum_spelta, Triticum_aestivum_spelta\": 18787,\n",
            "    \"sperm_whale, cachalot, black_whale, Physeter_catodon\": 2114,\n",
            "    \"spermatid\": 12132,\n",
            "    \"spermatophyte, phanerogam, seed_plant\": 17327,\n",
            "    \"sphagnum, sphagnum_moss, peat_moss, bog_moss\": 17312,\n",
            "    \"sphecoid_wasp, sphecoid\": 2690,\n",
            "    \"sphenisciform_seabird\": 2078,\n",
            "    \"spherical_angle\": 21705,\n",
            "    \"spherical_polygon\": 21696,\n",
            "    \"spherical_triangle\": 21697,\n",
            "    \"spherocyte\": 12129,\n",
            "    \"spheroid, ellipsoid_of_revolution\": 21719,\n",
            "    \"spherometer\": 10630,\n",
            "    \"spherule\": 21720,\n",
            "    \"sphinx\": 16902,\n",
            "    \"sphygmomanometer\": 10631,\n",
            "    \"spice\": 13287,\n",
            "    \"spice_rack\": 10633,\n",
            "    \"spice_tree\": 21324,\n",
            "    \"spicebush, California_allspice, Calycanthus_occidentalis\": 17592,\n",
            "    \"spicebush, spice_bush, American_spicebush, Benjamin_bush, Lindera_benzoin, Benzoin_odoriferum\": 17602,\n",
            "    \"spicemill\": 10632,\n",
            "    \"spider\": 10634,\n",
            "    \"spider_brake, spider_fern, Pteris_multifida\": 21573,\n",
            "    \"spider_crab\": 1851,\n",
            "    \"spider_mite, tetranychid\": 1298,\n",
            "    \"spider_monkey, Ateles_geoffroyi\": 3650,\n",
            "    \"spider_orchid\": 18590,\n",
            "    \"spider_orchid, Brassia_lawrenceana\": 18510,\n",
            "    \"spider_orchid, Brassia_verrucosa\": 18511,\n",
            "    \"spider_web, spider's_web\": 10635,\n",
            "    \"spiderflower, cleome\": 18000,\n",
            "    \"spiderwort, dayflower\": 19998,\n",
            "    \"spike\": 10637,\n",
            "    \"spike_heath, Bruckenthalia_spiculifolia\": 19001,\n",
            "    \"spike_lavender, French_lavender, Lavandula_latifolia\": 20669,\n",
            "    \"spike_rush\": 18812,\n",
            "    \"spikemoss, spike_moss, little_club_moss\": 21592,\n",
            "    \"spin_dryer, spin_drier\": 10641,\n",
            "    \"spinach\": 12985,\n",
            "    \"spindle\": 10640,\n",
            "    \"spindle, mandrel, mandril, arbor\": 10639,\n",
            "    \"spindle_tree, spindleberry, spindleberry_tree\": 20397,\n",
            "    \"spinet\": 10643,\n",
            "    \"spinnaker\": 10644,\n",
            "    \"spinner\": 10645,\n",
            "    \"spinning_frame\": 10646,\n",
            "    \"spinning_jenny\": 10647,\n",
            "    \"spinning_machine\": 10648,\n",
            "    \"spinning_rod\": 10649,\n",
            "    \"spinning_wheel\": 10650,\n",
            "    \"spinster, old_maid\": 16903,\n",
            "    \"spiny-finned_fish, acanthopterygian\": 3809,\n",
            "    \"spiny_dogfish\": 483,\n",
            "    \"spiny_lizard\": 1038,\n",
            "    \"spiny_lobster, langouste, rock_lobster, crawfish, crayfish, sea_crawfish\": 1860,\n",
            "    \"spiny_puffer\": 4103,\n",
            "    \"spiny_softshell, Trionyx_spiniferus\": 1020,\n",
            "    \"spiral_bandage\": 10651,\n",
            "    \"spiral_ratchet_screwdriver, ratchet_screwdriver\": 10652,\n",
            "    \"spiral_spring\": 10653,\n",
            "    \"spirea, spiraea\": 20154,\n",
            "    \"spirea, spiraea, Astilbe_japonica\": 20529,\n",
            "    \"spirillum\": 271,\n",
            "    \"spirillum, spirilla\": 265,\n",
            "    \"spirit_lamp\": 10654,\n",
            "    \"spirit_stove\": 10655,\n",
            "    \"spiritual_leader\": 14455,\n",
            "    \"spirochete, spirochaete\": 293,\n",
            "    \"spirometer\": 10656,\n",
            "    \"spirula, Spirula_peronii\": 1832,\n",
            "    \"spit\": 10657,\n",
            "    \"spit, tongue\": 14410,\n",
            "    \"spit_curl, kiss_curl\": 12089,\n",
            "    \"spittle_insect, spittlebug\": 2813,\n",
            "    \"spittoon, cuspidor\": 10658,\n",
            "    \"spitz\": 2340,\n",
            "    \"splashboard, splasher, dashboard\": 10659,\n",
            "    \"splasher\": 10660,\n",
            "    \"spleenwort\": 21484,\n",
            "    \"splice, splicing\": 10661,\n",
            "    \"splicer\": 10662,\n",
            "    \"splint\": 10663,\n",
            "    \"split\": 12582,\n",
            "    \"split-pea\": 12909,\n",
            "    \"split-pea_soup\": 12407,\n",
            "    \"split_end\": 16904,\n",
            "    \"split_rail, fence_rail\": 10664,\n",
            "    \"spoiler\": 10667,\n",
            "    \"spoke, wheel_spoke, radius\": 10668,\n",
            "    \"spokeshave\": 10669,\n",
            "    \"sponge, poriferan, parazoan\": 1672,\n",
            "    \"sponge_cloth\": 10670,\n",
            "    \"sponge_mop\": 10671,\n",
            "    \"spongioblast\": 12080,\n",
            "    \"spoon\": 10673,\n",
            "    \"spoon_bread, batter_bread\": 12725,\n",
            "    \"spoonbill\": 1910,\n",
            "    \"spoor\": 14411,\n",
            "    \"sporangiophore\": 21289,\n",
            "    \"sporangium, spore_case, spore_sac\": 21288,\n",
            "    \"spore\": 17319,\n",
            "    \"sporophyll, sporophyl\": 21287,\n",
            "    \"sporophyte\": 17551,\n",
            "    \"sporozoan\": 341,\n",
            "    \"sporozoite\": 342,\n",
            "    \"sporran\": 10675,\n",
            "    \"sport, athletics\": 173,\n",
            "    \"sport, sportsman, sportswoman\": 16905,\n",
            "    \"sport, summercater\": 16906,\n",
            "    \"sport_kite, stunt_kite\": 10676,\n",
            "    \"sport_utility, sport_utility_vehicle, S.U.V., SUV\": 10681,\n",
            "    \"sporting_dog, gun_dog\": 2258,\n",
            "    \"sporting_man, outdoor_man\": 16907,\n",
            "    \"sports_announcer, sportscaster, sports_commentator\": 16908,\n",
            "    \"sports_car, sport_car\": 10677,\n",
            "    \"sports_editor\": 16909,\n",
            "    \"sports_equipment\": 10678,\n",
            "    \"sports_implement\": 10679,\n",
            "    \"sportswear, athletic_wear, activewear\": 10680,\n",
            "    \"spot\": 10682,\n",
            "    \"spot_weld, spot-weld\": 10684,\n",
            "    \"spotlight, spot\": 10683,\n",
            "    \"spotted_antbird, Hylophylax_naevioides\": 627,\n",
            "    \"spotted_coral_root, Corallorhiza_maculata\": 18525,\n",
            "    \"spotted_cowbane, spotted_hemlock, spotted_water_hemlock\": 20907,\n",
            "    \"spotted_crake, Porzana_porzana\": 1942,\n",
            "    \"spotted_eagle_ray, spotted_ray, Aetobatus_narinari\": 500,\n",
            "    \"spotted_flycatcher, Muscicapa_striata, Muscicapa_grisola\": 632,\n",
            "    \"spotted_gum, Eucalyptus_maculata\": 19329,\n",
            "    \"spotted_hyena, laughing_hyena, Crocuta_crocuta\": 2372,\n",
            "    \"spotted_lynx, Lynx_pardina\": 2425,\n",
            "    \"spotted_owl, Strix_occidentalis\": 884,\n",
            "    \"spotted_salamander, Ambystoma_maculatum\": 908,\n",
            "    \"spotted_salamander, fire_salamander, Salamandra_maculosa\": 897,\n",
            "    \"spotted_sandpiper, Actitis_macularia\": 1975,\n",
            "    \"spotted_skunk, little_spotted_skunk, Spilogale_putorius\": 3525,\n",
            "    \"spotted_sunfish, stumpknocker, Lepomis_punctatus\": 3839,\n",
            "    \"spotted_weakfish, spotted_sea_trout, spotted_squeateague, Cynoscion_nebulosus\": 3951,\n",
            "    \"spouter\": 10685,\n",
            "    \"sprag\": 10686,\n",
            "    \"spray_gun\": 10687,\n",
            "    \"spray_paint\": 10688,\n",
            "    \"spread, paste\": 13585,\n",
            "    \"spreader\": 10689,\n",
            "    \"spreading_fleabane, Erigeron_divergens\": 18288,\n",
            "    \"spreading_pogonia, funnel-crest_rosebud_orchid, Cleistes_divaricata, Pogonia_divaricata\": 18519,\n",
            "    \"spree_killer\": 16786,\n",
            "    \"sprig\": 10690,\n",
            "    \"spring\": 10691,\n",
            "    \"spring_balance, spring_scale\": 10692,\n",
            "    \"spring_beauty, Clatonia_lanceolata\": 17984,\n",
            "    \"spring_cankerworm\": 2911,\n",
            "    \"spring_chicken\": 1336,\n",
            "    \"spring_cress, Cardamine_bulbosa\": 18043,\n",
            "    \"spring_peeper, Hyla_crucifer\": 969,\n",
            "    \"spring_squill, Scilla_verna, sea_onion\": 19644,\n",
            "    \"spring_water\": 14086,\n",
            "    \"springboard\": 10693,\n",
            "    \"springbok, springbuck, Antidorcas_marsupialis, Antidorcas_euchore\": 3438,\n",
            "    \"springer_spaniel, springer\": 2278,\n",
            "    \"sprinkler\": 10694,\n",
            "    \"sprinkler_system\": 10695,\n",
            "    \"sprit\": 10696,\n",
            "    \"spritsail\": 10697,\n",
            "    \"spritzer\": 13947,\n",
            "    \"sprocket\": 10699,\n",
            "    \"sprocket, sprocket_wheel\": 10698,\n",
            "    \"sprog\": 16910,\n",
            "    \"sprout\": 12863,\n",
            "    \"spruce\": 17415,\n",
            "    \"spruce_bark_beetle, Dendroctonus_rufipennis\": 2586,\n",
            "    \"spruce_beer\": 14061,\n",
            "    \"spruce_gall_aphid, Adelges_abietis\": 2807,\n",
            "    \"spruce_grouse, Canachites_canadensis\": 1353,\n",
            "    \"spruce_pine, Pinus_glabra\": 17359,\n",
            "    \"spume\": 14412,\n",
            "    \"spun_yarn\": 10700,\n",
            "    \"spur, gad\": 10701,\n",
            "    \"spur_gear, spur_wheel\": 10702,\n",
            "    \"spurge\": 20854,\n",
            "    \"spurge_laurel, wood_laurel, Daphne_laureola\": 19355,\n",
            "    \"spurge_nettle, tread-softly, devil_nettle, pica-pica, Cnidoscolus_urens, Jatropha_urens, Jatropha_stimulosus\": 20877,\n",
            "    \"spurred_gentian\": 19210,\n",
            "    \"sputnik\": 10703,\n",
            "    \"spy_satellite\": 10704,\n",
            "    \"squab\": 1414,\n",
            "    \"squad_room\": 10705,\n",
            "    \"squama\": 1664,\n",
            "    \"squamous_cell\": 12081,\n",
            "    \"square\": 10706,\n",
            "    \"square-rigger\": 10708,\n",
            "    \"square_dancer\": 16911,\n",
            "    \"square_knot\": 10707,\n",
            "    \"square_meal\": 12321,\n",
            "    \"square_sail\": 10709,\n",
            "    \"square_shooter, straight_shooter, straight_arrow\": 16912,\n",
            "    \"squash\": 12839,\n",
            "    \"squash, squash_racquets, squash_rackets\": 156,\n",
            "    \"squash, squash_vine\": 18827,\n",
            "    \"squash_ball\": 10710,\n",
            "    \"squash_bug, Anasa_tristis\": 2760,\n",
            "    \"squash_racket, squash_racquet, bat\": 10711,\n",
            "    \"squatter\": 16913,\n",
            "    \"squaw_grass, bear_grass, Xerophyllum_tenax\": 19655,\n",
            "    \"squawbush, squaw-bush, skunkbush, Rhus_trilobata\": 20450,\n",
            "    \"squawk_box, squawker, intercom_speaker\": 10712,\n",
            "    \"squeegee\": 10713,\n",
            "    \"squeezer\": 10714,\n",
            "    \"squelch_circuit, squelch, squelcher\": 10715,\n",
            "    \"squid\": 1827,\n",
            "    \"squill\": 19648,\n",
            "    \"squilla, mantis_prawn\": 1875,\n",
            "    \"squinch\": 10716,\n",
            "    \"squire\": 16915,\n",
            "    \"squirrel\": 3134,\n",
            "    \"squirrel's-foot_fern, ball_fern, Davalia_bullata, Davalia_bullata_mariesii, Davallia_Mariesii\": 21505,\n",
            "    \"squirrel_corn, Dicentra_canadensis\": 18112,\n",
            "    \"squirrel_monkey, Saimiri_sciureus\": 3651,\n",
            "    \"squirrelfish\": 388,\n",
            "    \"squirting_cucumber, exploding_cucumber, touch-me-not, Ecballium_elaterium\": 18852,\n",
            "    \"stabilizer\": 10718,\n",
            "    \"stabilizer, stabiliser\": 10717,\n",
            "    \"stabilizer_bar, anti-sway_bar\": 10719,\n",
            "    \"stable, stalls, horse_barn\": 10720,\n",
            "    \"stable_gear, saddlery, tack\": 10721,\n",
            "    \"stablemate, stable_companion\": 3197,\n",
            "    \"stabling\": 10722,\n",
            "    \"stacks\": 10723,\n",
            "    \"staddle\": 10724,\n",
            "    \"stadium, bowl, arena, sports_stadium\": 10725,\n",
            "    \"staff_member, staffer\": 16916,\n",
            "    \"staff_sergeant\": 16917,\n",
            "    \"stag\": 3463,\n",
            "    \"stag_beetle\": 2570,\n",
            "    \"stage\": 10726,\n",
            "    \"stage_director\": 16918,\n",
            "    \"stagecoach, stage\": 10727,\n",
            "    \"staggerbush, stagger_bush, Lyonia_mariana\": 19022,\n",
            "    \"staghorn_coral, stag's-horn_coral\": 1702,\n",
            "    \"staghorn_fern\": 21477,\n",
            "    \"staghorn_sumac, velvet_sumac, Virginian_sumac, vinegar_tree, Rhus_typhina\": 20449,\n",
            "    \"staghound\": 2218,\n",
            "    \"stained-glass_window\": 10728,\n",
            "    \"stainer\": 16919,\n",
            "    \"stair-carpet\": 10729,\n",
            "    \"stair-rod\": 10730,\n",
            "    \"stairwell\": 10731,\n",
            "    \"stake\": 10732,\n",
            "    \"stakeholder\": 16920,\n",
            "    \"stalked_puffball\": 20994,\n",
            "    \"stalker\": 16921,\n",
            "    \"stalking-horse\": 16922,\n",
            "    \"stall\": 10734,\n",
            "    \"stall, stand, sales_booth\": 10733,\n",
            "    \"stallion, entire\": 3205,\n",
            "    \"stammerer, stutterer\": 16923,\n",
            "    \"stamp\": 10735,\n",
            "    \"stamp_mill, stamping_mill\": 10736,\n",
            "    \"stamper, stomper, tramper, trampler\": 16924,\n",
            "    \"stamping_machine, stamper\": 10737,\n",
            "    \"stanchion\": 10738,\n",
            "    \"stand\": 10739,\n",
            "    \"stand-in, substitute, relief, reliever, backup, backup_man, fill-in\": 16926,\n",
            "    \"standard\": 10740,\n",
            "    \"standard_cell\": 10741,\n",
            "    \"standard_poodle\": 2353,\n",
            "    \"standard_schnauzer\": 2249,\n",
            "    \"standard_transmission, stick_shift\": 10742,\n",
            "    \"standee\": 16925,\n",
            "    \"standing_press\": 10743,\n",
            "    \"stanhope\": 10744,\n",
            "    \"stanhopea\": 18616,\n",
            "    \"stapelia, carrion_flower, starfish_flower\": 21625,\n",
            "    \"staphylococcus, staphylococci, staph\": 289,\n",
            "    \"staple\": 10747,\n",
            "    \"staple_gun, staplegun, tacker\": 10748,\n",
            "    \"stapler, stapling_machine\": 10749,\n",
            "    \"star\": 21688,\n",
            "    \"star, principal, lead\": 16927,\n",
            "    \"star-duckweed, Lemna_trisulca\": 17822,\n",
            "    \"star-of-Bethlehem\": 19638,\n",
            "    \"star-thistle, caltrop, Centauria_calcitrapa\": 18232,\n",
            "    \"star_anise, Chinese_anise, Illicium_verum\": 17610,\n",
            "    \"star_anise, Illicium_anisatum\": 17609,\n",
            "    \"star_apple, caimito, Chrysophyllum_cainito\": 20478,\n",
            "    \"star_begonia, star-leaf_begonia, Begonia_heracleifolia\": 19384,\n",
            "    \"star_magnolia, Magnolia_stellata\": 17618,\n",
            "    \"star_saxifrage, starry_saxifrage, Saxifraga_stellaris\": 20524,\n",
            "    \"star_tulip, elegant_cat's_ears, Calochortus_elegans\": 19602,\n",
            "    \"starches\": 12292,\n",
            "    \"starfish, sea_star\": 3008,\n",
            "    \"stargazer\": 3989,\n",
            "    \"starlet\": 16928,\n",
            "    \"starling\": 710,\n",
            "    \"starnose_mole, star-nosed_mole, Condylura_cristata\": 1637,\n",
            "    \"starship, spaceship\": 10750,\n",
            "    \"starter, dispatcher\": 16929,\n",
            "    \"starter, starter_motor, starting_motor\": 10751,\n",
            "    \"starting_gate, starting_stall\": 10752,\n",
            "    \"starved_aster, calico_aster\": 18197,\n",
            "    \"state_prison\": 10756,\n",
            "    \"state_treasurer\": 16931,\n",
            "    \"stately_home\": 10755,\n",
            "    \"stateroom\": 10757,\n",
            "    \"statesman, solon, national_leader\": 16930,\n",
            "    \"static_tube\": 10758,\n",
            "    \"station\": 10759,\n",
            "    \"stationer, stationery_seller\": 16932,\n",
            "    \"stator, stator_coil\": 10760,\n",
            "    \"statue\": 10761,\n",
            "    \"stay\": 10762,\n",
            "    \"stayer\": 204,\n",
            "    \"staysail\": 10763,\n",
            "    \"steak_au_poivre, peppered_steak, pepper_steak\": 13728,\n",
            "    \"steak_knife\": 10765,\n",
            "    \"steak_sauce\": 13358,\n",
            "    \"steak_tartare, tartar_steak, cannibal_mound\": 13726,\n",
            "    \"steakhouse, chophouse\": 10764,\n",
            "    \"stealth_aircraft\": 10766,\n",
            "    \"stealth_bomber\": 10767,\n",
            "    \"stealth_fighter\": 10768,\n",
            "    \"steam_bath, steam_room, vapor_bath, vapour_bath\": 10769,\n",
            "    \"steam_chest\": 10771,\n",
            "    \"steam_engine\": 10772,\n",
            "    \"steam_iron\": 10775,\n",
            "    \"steam_locomotive\": 10776,\n",
            "    \"steam_shovel\": 10778,\n",
            "    \"steam_turbine\": 10779,\n",
            "    \"steam_whistle\": 10780,\n",
            "    \"steamboat\": 10770,\n",
            "    \"steamed_pudding\": 12594,\n",
            "    \"steamer\": 10774,\n",
            "    \"steamer, steamship\": 10773,\n",
            "    \"steamroller, road_roller\": 10777,\n",
            "    \"steed\": 3216,\n",
            "    \"steel\": 10781,\n",
            "    \"steel-wool_pad\": 10785,\n",
            "    \"steel_arch_bridge\": 10782,\n",
            "    \"steel_blue\": 12039,\n",
            "    \"steel_drum\": 10783,\n",
            "    \"steel_mill, steelworks, steel_plant, steel_factory\": 10784,\n",
            "    \"steelyard, lever_scale, beam_scale\": 10786,\n",
            "    \"steenbok, steinbok, Raphicerus_campestris\": 3450,\n",
            "    \"steep\": 14414,\n",
            "    \"steeple, spire\": 10787,\n",
            "    \"steeplechaser\": 3249,\n",
            "    \"steerage\": 10788,\n",
            "    \"steering_gear\": 10789,\n",
            "    \"steering_linkage\": 10790,\n",
            "    \"steering_system, steering_mechanism\": 10791,\n",
            "    \"steering_wheel, wheel\": 10792,\n",
            "    \"stegosaur, stegosaurus, Stegosaur_stenops\": 1099,\n",
            "    \"stele, stela\": 10793,\n",
            "    \"stelis\": 18617,\n",
            "    \"stem-winder\": 10794,\n",
            "    \"stemless_carline_thistle, Carlina_acaulis\": 18223,\n",
            "    \"stemless_hymenoxys, Tetraneuris_acaulis, Hymenoxys_acaulis\": 18458,\n",
            "    \"stemma\": 21744,\n",
            "    \"stencil\": 10795,\n",
            "    \"stenograph\": 10797,\n",
            "    \"stenographer, amanuensis, shorthand_typist\": 16933,\n",
            "    \"stenopterygius, Stenopterygius_quadrisicissus\": 1137,\n",
            "    \"stentor\": 16934,\n",
            "    \"step, stair\": 10798,\n",
            "    \"step-down_transformer\": 10799,\n",
            "    \"step-up_transformer\": 10801,\n",
            "    \"step_stool\": 10800,\n",
            "    \"stepbrother, half-brother, half_brother\": 16935,\n",
            "    \"stephanotis\": 21627,\n",
            "    \"stepmother\": 16936,\n",
            "    \"stepparent\": 16937,\n",
            "    \"steppe\": 14415,\n",
            "    \"stepper, high_stepper\": 3276,\n",
            "    \"sterculia\": 18923,\n",
            "    \"stereo, stereophony, stereo_system, stereophonic_system\": 10802,\n",
            "    \"stereoscope\": 10803,\n",
            "    \"stern_chaser\": 10804,\n",
            "    \"sternpost\": 10805,\n",
            "    \"sternwheeler\": 10806,\n",
            "    \"stethoscope\": 10807,\n",
            "    \"stevedore, loader, longshoreman, docker, dockhand, dock_worker, dockworker, dock-walloper, lumper\": 16938,\n",
            "    \"stevia\": 18443,\n",
            "    \"stew\": 12412,\n",
            "    \"steward\": 16941,\n",
            "    \"steward, flight_attendant\": 16940,\n",
            "    \"stewing_pan, stewpan\": 10808,\n",
            "    \"stick\": 10812,\n",
            "    \"stick, control_stick, joystick\": 10811,\n",
            "    \"stick_cinnamon\": 13299,\n",
            "    \"stickball, stickball_game\": 146,\n",
            "    \"stickleback, prickleback\": 399,\n",
            "    \"stickler\": 16942,\n",
            "    \"sticktight, sticktight_flea, Echidnophaga_gallinacea\": 2608,\n",
            "    \"sticky_aster, Machaeranthera_bigelovii\": 18370,\n",
            "    \"sticky_geranium, Geranium_viscosissimum\": 20229,\n",
            "    \"stiff\": 16943,\n",
            "    \"stiff_aster, Aster_linarifolius\": 18170,\n",
            "    \"stifler, smotherer\": 16944,\n",
            "    \"stile\": 10813,\n",
            "    \"stiletto\": 10814,\n",
            "    \"still\": 10815,\n",
            "    \"stillroom, still_room\": 10816,\n",
            "    \"stilt\": 10818,\n",
            "    \"stilt, Australian_stilt\": 2014,\n",
            "    \"stilt, stiltbird, longlegs, long-legs, stilt_plover, Himantopus_stilt\": 2009,\n",
            "    \"stinger\": 13972,\n",
            "    \"stinging_nettle, Urtica_dioica\": 19459,\n",
            "    \"stingray\": 496,\n",
            "    \"stink_bell, Fritillaria_agrestis\": 19621,\n",
            "    \"stink_bomb, stench_bomb\": 10820,\n",
            "    \"stinkhorn, carrion_fungus\": 21171,\n",
            "    \"stinking_cedar, stinking_yew, Torrey_tree, Torreya_taxifolia\": 17477,\n",
            "    \"stinking_goosefoot, Chenopodium_vulvaria\": 17912,\n",
            "    \"stinking_iris, gladdon, gladdon_iris, stinking_gladwyn, roast_beef_plant, Iris_foetidissima\": 19519,\n",
            "    \"stinky_squid, Pseudocolus_fusiformis\": 21178,\n",
            "    \"stipendiary, stipendiary_magistrate\": 16945,\n",
            "    \"stirk\": 3331,\n",
            "    \"stirrer\": 10821,\n",
            "    \"stirrup, stirrup_iron\": 10822,\n",
            "    \"stirrup_pump\": 10823,\n",
            "    \"stitcher\": 16946,\n",
            "    \"stoat\": 3505,\n",
            "    \"stob\": 10824,\n",
            "    \"stock, gillyflower\": 18066,\n",
            "    \"stock, gunstock\": 10825,\n",
            "    \"stock-in-trade\": 10831,\n",
            "    \"stock_car\": 10828,\n",
            "    \"stock_cube\": 12383,\n",
            "    \"stock_saddle, Western_saddle\": 10835,\n",
            "    \"stock_trader\": 16948,\n",
            "    \"stockade\": 10826,\n",
            "    \"stockbroker_belt\": 14139,\n",
            "    \"stockcar\": 10827,\n",
            "    \"stocker\": 198,\n",
            "    \"stockinet, stockinette\": 10829,\n",
            "    \"stocking\": 10830,\n",
            "    \"stockist\": 16949,\n",
            "    \"stockjobber\": 16947,\n",
            "    \"stockpot\": 10832,\n",
            "    \"stockroom, stock_room\": 10833,\n",
            "    \"stocks\": 10834,\n",
            "    \"stockyard\": 10836,\n",
            "    \"stodge\": 13243,\n",
            "    \"stoker, fireman\": 16950,\n",
            "    \"stokes'_aster, cornflower_aster, Stokesia_laevis\": 18444,\n",
            "    \"stole\": 10837,\n",
            "    \"stolon, runner, offset\": 21349,\n",
            "    \"stomach_pump\": 10839,\n",
            "    \"stomacher\": 10838,\n",
            "    \"stomatopod, stomatopod_crustacean\": 1873,\n",
            "    \"stone_bass, wreckfish, Polyprion_americanus\": 3853,\n",
            "    \"stone_bramble, Rubus_saxatilis\": 20131,\n",
            "    \"stone_crab, Menippe_mercenaria\": 1838,\n",
            "    \"stone_curlew, thick-knee, Burhinus_oedicnemus\": 2026,\n",
            "    \"stone_marten, beech_marten, Martes_foina\": 3539,\n",
            "    \"stone_pine, umbrella_pine, European_nut_pine, Pinus_pinea\": 17363,\n",
            "    \"stone_wall\": 10840,\n",
            "    \"stonechat, Saxicola_torquata\": 650,\n",
            "    \"stonecress, stone_cress\": 18006,\n",
            "    \"stonecrop\": 20506,\n",
            "    \"stonefish, Synanceja_verrucosa\": 4074,\n",
            "    \"stonefly, stone_fly, plecopteran\": 2829,\n",
            "    \"stoneware\": 10841,\n",
            "    \"stonework\": 10842,\n",
            "    \"stonewort\": 329,\n",
            "    \"stony_coral, madrepore, madriporian_coral\": 1700,\n",
            "    \"stool\": 10843,\n",
            "    \"stoop, stoep\": 10844,\n",
            "    \"stooper\": 16951,\n",
            "    \"stop_bath, short-stop, short-stop_bath\": 10845,\n",
            "    \"stopcock, cock, turncock\": 10846,\n",
            "    \"stopper_knot\": 10847,\n",
            "    \"stopwatch, stop_watch\": 10848,\n",
            "    \"storage_battery, accumulator\": 10849,\n",
            "    \"storage_cell, secondary_cell\": 10850,\n",
            "    \"storage_medium, data-storage_medium\": 12171,\n",
            "    \"storage_ring\": 10851,\n",
            "    \"storage_space\": 10852,\n",
            "    \"store_detective\": 16952,\n",
            "    \"storeroom, storage_room, stowage\": 10853,\n",
            "    \"stork\": 1896,\n",
            "    \"storksbill, heron's_bill\": 20236,\n",
            "    \"storm_cellar, cyclone_cellar, tornado_cellar\": 10854,\n",
            "    \"storm_door\": 10855,\n",
            "    \"storm_petrel\": 2096,\n",
            "    \"storm_window, storm_sash\": 10856,\n",
            "    \"stormy_petrel, northern_storm_petrel, Hydrobates_pelagicus\": 2097,\n",
            "    \"stoup\": 10858,\n",
            "    \"stoup, stoop\": 10857,\n",
            "    \"stout\": 13792,\n",
            "    \"stove\": 10859,\n",
            "    \"stove, kitchen_stove, range, kitchen_range, cooking_stove\": 10860,\n",
            "    \"stove_bolt\": 10861,\n",
            "    \"stovepipe\": 10862,\n",
            "    \"stovepipe_iron\": 10863,\n",
            "    \"stover\": 13232,\n",
            "    \"strafer\": 16953,\n",
            "    \"straight_chair, side_chair\": 10865,\n",
            "    \"straight_flute, straight-fluted_drill\": 10868,\n",
            "    \"straight_man, second_banana\": 16954,\n",
            "    \"straight_pin\": 10869,\n",
            "    \"straight_razor\": 10870,\n",
            "    \"straightedge\": 10866,\n",
            "    \"straightener\": 10867,\n",
            "    \"strainer\": 10871,\n",
            "    \"straitjacket, straightjacket\": 10872,\n",
            "    \"strand\": 14416,\n",
            "    \"stranger\": 16956,\n",
            "    \"stranger, alien, unknown\": 16955,\n",
            "    \"strangler, strangler_tree\": 21339,\n",
            "    \"strap\": 10874,\n",
            "    \"strap_fern\": 21471,\n",
            "    \"strap_hinge, joint_hinge\": 10875,\n",
            "    \"strapless\": 10876,\n",
            "    \"strategist, strategian\": 16957,\n",
            "    \"straw_boss, assistant_foreman\": 16958,\n",
            "    \"straw_mushroom, Chinese_mushroom, Volvariella_volvacea\": 21113,\n",
            "    \"straw_wine\": 13846,\n",
            "    \"strawberry\": 13038,\n",
            "    \"strawberry_bush, wahoo, Euonymus_americanus\": 20400,\n",
            "    \"strawberry_daiquiri\": 13945,\n",
            "    \"strawberry_geranium, strawberry_saxifrage, mother-of-thousands, Saxifraga_stolonifera, Saxifraga_sarmentosam\": 20525,\n",
            "    \"strawberry_ice_cream\": 12572,\n",
            "    \"strawberry_jam, strawberry_preserves\": 12634,\n",
            "    \"strawberry_tomato, dwarf_cape_gooseberry, Physalis_pruinosa\": 20838,\n",
            "    \"strawberry_tree, Irish_strawberry, Arbutus_unedo\": 18996,\n",
            "    \"strawflower\": 18336,\n",
            "    \"strawflower, cornflower, Uvularia_grandiflora\": 19673,\n",
            "    \"strawflower, golden_everlasting, yellow_paper_daisy, Helichrysum_bracteatum\": 18334,\n",
            "    \"strawworm, jointworm\": 2697,\n",
            "    \"stray\": 2392,\n",
            "    \"stream_orchid, chatterbox, giant_helleborine, Epipactis_gigantea\": 18551,\n",
            "    \"streambed, creek_bed\": 14417,\n",
            "    \"streamer_fly\": 10877,\n",
            "    \"streamliner\": 10878,\n",
            "    \"street\": 10880,\n",
            "    \"street_clothes\": 10882,\n",
            "    \"street_sign\": 12241,\n",
            "    \"streetcar, tram, tramcar, trolley, trolley_car\": 10881,\n",
            "    \"streetlight, street_lamp\": 10883,\n",
            "    \"streetwalker, street_girl, hooker, hustler, floozy, floozie, slattern\": 16959,\n",
            "    \"streptobacillus\": 287,\n",
            "    \"streptocarpus\": 20622,\n",
            "    \"streptococcus, streptococci, strep\": 292,\n",
            "    \"streptomyces\": 282,\n",
            "    \"stretch_pants\": 10886,\n",
            "    \"stretcher\": 10885,\n",
            "    \"stretcher-bearer, litter-bearer\": 16960,\n",
            "    \"striated_muscle_cell, striated_muscle_fiber\": 12134,\n",
            "    \"strickle\": 10888,\n",
            "    \"string_bean\": 12925,\n",
            "    \"string_cheese\": 13571,\n",
            "    \"string_tie\": 10892,\n",
            "    \"stringed_instrument\": 10889,\n",
            "    \"stringer\": 10891,\n",
            "    \"stringybark\": 19314,\n",
            "    \"strip\": 10893,\n",
            "    \"strip_lighting\": 10894,\n",
            "    \"strip_mall\": 10895,\n",
            "    \"striped_bass, striper, Roccus_saxatilis, rockfish\": 3852,\n",
            "    \"striped_button_quail, Turnix_sylvatica\": 1957,\n",
            "    \"striped_coral_root, Corallorhiza_striata\": 18526,\n",
            "    \"striped_drum, Equetus_pulcher\": 3933,\n",
            "    \"striped_gentian, Gentiana_villosa\": 19201,\n",
            "    \"striped_hyena, Hyaena_hyaena\": 2370,\n",
            "    \"striped_killifish, mayfish, may_fish, Fundulus_majalis\": 379,\n",
            "    \"striped_marlin, Makaira_mitsukurii\": 4044,\n",
            "    \"striped_muishond, Ictonyx_striata\": 3516,\n",
            "    \"striped_mullet, Mugil_cephalus\": 3957,\n",
            "    \"striped_skunk, Mephitis_mephitis\": 3522,\n",
            "    \"stroboscope, strobe, strobe_light\": 10896,\n",
            "    \"strongbox, deedbox\": 10897,\n",
            "    \"stronghold, fastness\": 10898,\n",
            "    \"strongroom\": 10899,\n",
            "    \"strop\": 10900,\n",
            "    \"structural_member\": 10901,\n",
            "    \"structure, construction\": 10902,\n",
            "    \"struggler\": 16961,\n",
            "    \"stubble\": 12097,\n",
            "    \"stucco\": 21815,\n",
            "    \"stud, he-man, macho-man\": 16962,\n",
            "    \"stud, studhorse\": 3206,\n",
            "    \"stud_finder\": 10906,\n",
            "    \"student, pupil, educatee\": 16963,\n",
            "    \"student_center\": 10903,\n",
            "    \"student_lamp\": 10904,\n",
            "    \"student_union\": 10905,\n",
            "    \"studio_apartment, studio\": 10907,\n",
            "    \"studio_couch, day_bed\": 10908,\n",
            "    \"study\": 10909,\n",
            "    \"study_hall\": 10910,\n",
            "    \"stuffed_cabbage\": 13730,\n",
            "    \"stuffed_mushroom\": 12972,\n",
            "    \"stuffed_peppers\": 13732,\n",
            "    \"stuffed_tomato, cold_stuffed_tomato\": 13734,\n",
            "    \"stuffed_tomato, hot_stuffed_tomato\": 13733,\n",
            "    \"stuffing, dressing\": 12657,\n",
            "    \"stuffing_nut, packing_nut\": 10911,\n",
            "    \"stumblebum, palooka\": 16964,\n",
            "    \"stump\": 10912,\n",
            "    \"stump, tree_stump\": 21326,\n",
            "    \"stun_gun, stun_baton\": 10913,\n",
            "    \"stunt\": 205,\n",
            "    \"stupa, tope\": 10914,\n",
            "    \"sturgeon\": 4065,\n",
            "    \"sty, pigsty, pigpen\": 10915,\n",
            "    \"stylist\": 16965,\n",
            "    \"stylopodium\": 17532,\n",
            "    \"stylus\": 10917,\n",
            "    \"stylus, style\": 10916,\n",
            "    \"styracosaur, styracosaurus\": 1107,\n",
            "    \"styrax\": 20488,\n",
            "    \"sub-assembly\": 10918,\n",
            "    \"subalpine_larch, Larix_lyallii\": 17397,\n",
            "    \"subaltern\": 16966,\n",
            "    \"subarachnoid_space\": 12144,\n",
            "    \"subcompact, subcompact_car\": 10919,\n",
            "    \"subcontractor\": 16967,\n",
            "    \"subduer, surmounter, overcomer\": 16968,\n",
            "    \"subject, case, guinea_pig\": 16969,\n",
            "    \"submachine_gun\": 10920,\n",
            "    \"submarine, pigboat, sub, U-boat\": 10921,\n",
            "    \"submarine_torpedo\": 10922,\n",
            "    \"submersible\": 10924,\n",
            "    \"submersible, submersible_warship\": 10923,\n",
            "    \"subordinate, subsidiary, underling, foot_soldier\": 16970,\n",
            "    \"subshrub, suffrutex\": 21331,\n",
            "    \"substitute, reserve, second-stringer\": 16971,\n",
            "    \"subtracter\": 10925,\n",
            "    \"subtropics, semitropics\": 14203,\n",
            "    \"suburb, suburbia, suburban_area\": 14138,\n",
            "    \"subway_token\": 10926,\n",
            "    \"subway_train\": 10927,\n",
            "    \"subwoofer\": 10928,\n",
            "    \"successor, heir\": 16972,\n",
            "    \"successor, replacement\": 16973,\n",
            "    \"succorer, succourer\": 16974,\n",
            "    \"succotash\": 13735,\n",
            "    \"succulent\": 21281,\n",
            "    \"sucking_pig\": 3313,\n",
            "    \"suckling\": 224,\n",
            "    \"suction_cup\": 10929,\n",
            "    \"suction_pump\": 10930,\n",
            "    \"sudatorium, sudatory\": 10931,\n",
            "    \"suds\": 13774,\n",
            "    \"suede_cloth, suede\": 10932,\n",
            "    \"suet_pudding\": 12609,\n",
            "    \"suffragan, suffragan_bishop\": 16976,\n",
            "    \"suffragette\": 16977,\n",
            "    \"sugar, refined_sugar\": 13603,\n",
            "    \"sugar-bush, sugar_sumac, Rhus_ovata\": 20448,\n",
            "    \"sugar_beet\": 12868,\n",
            "    \"sugar_bowl\": 10933,\n",
            "    \"sugar_candy\": 12533,\n",
            "    \"sugar_daddy\": 16978,\n",
            "    \"sugar_maple, rock_maple, Acer_saccharum\": 20407,\n",
            "    \"sugar_palm, gomuti, gomuti_palm, Arenga_pinnata\": 19935,\n",
            "    \"sugar_refinery\": 10934,\n",
            "    \"sugar_snap_pea\": 12908,\n",
            "    \"sugar_snap_pea, snap_pea\": 19874,\n",
            "    \"sugar_spoon, sugar_shell\": 10935,\n",
            "    \"sugar_syrup\": 13605,\n",
            "    \"sugar_water\": 14087,\n",
            "    \"sugarberry, Celtis_laevigata\": 19511,\n",
            "    \"sugarberry, hackberry\": 13039,\n",
            "    \"sugarplum\": 12534,\n",
            "    \"suicide_bomber\": 16979,\n",
            "    \"suit, suit_of_clothes\": 10936,\n",
            "    \"suite, rooms\": 10937,\n",
            "    \"suiting\": 10938,\n",
            "    \"suitor, suer, wooer\": 16980,\n",
            "    \"sukiyaki\": 13736,\n",
            "    \"sulfur_paintbrush, Castilleja_sulphurea\": 20759,\n",
            "    \"sulky\": 10939,\n",
            "    \"sulphur-crested_cockatoo, Kakatoe_galerita, Cacatua_galerita\": 1432,\n",
            "    \"sulphur_butterfly, sulfur_butterfly\": 2888,\n",
            "    \"sultana\": 13130,\n",
            "    \"sultanate\": 14213,\n",
            "    \"sumac, sumach, shumac\": 20446,\n",
            "    \"summer_flounder, Paralichthys_dentatus\": 4123,\n",
            "    \"summer_house\": 10940,\n",
            "    \"summer_hyacinth, cape_hyacinth, Hyacinthus_candicans, Galtonia_candicans\": 19637,\n",
            "    \"summer_savory, Satureja_hortensis, Satureia_hortensis\": 20722,\n",
            "    \"summer_savory, summer_savoury\": 13344,\n",
            "    \"summer_squash\": 12840,\n",
            "    \"summer_squash, summer_squash_vine, Cucurbita_pepo_melopepo\": 18828,\n",
            "    \"summer_tanager, summer_redbird, Piranga_rubra\": 787,\n",
            "    \"sumo\": 64,\n",
            "    \"sumo_ring\": 10941,\n",
            "    \"sumo_wrestler\": 16981,\n",
            "    \"sump\": 10942,\n",
            "    \"sump_pump\": 10943,\n",
            "    \"sun, Sun\": 14418,\n",
            "    \"sun_deck\": 10946,\n",
            "    \"sun_gear\": 10950,\n",
            "    \"sun_parlor, sun_parlour, sun_porch, sunporch, sunroom, sun_lounge, solarium\": 10955,\n",
            "    \"sun_spurge, wartweed, wartwort, devil's_milk, Euphorbia_helioscopia\": 20855,\n",
            "    \"sun_tea\": 14074,\n",
            "    \"sunbather\": 16982,\n",
            "    \"sunbonnet\": 10944,\n",
            "    \"sundew, sundew_plant, daily_dew\": 20499,\n",
            "    \"sundial\": 10947,\n",
            "    \"sundowner\": 16983,\n",
            "    \"sundress\": 10948,\n",
            "    \"sundries\": 10949,\n",
            "    \"sundrops, Oenothera_fruticosa\": 19349,\n",
            "    \"sunfish, centrarchid\": 3832,\n",
            "    \"sunflower, helianthus\": 18325,\n",
            "    \"sunflower_seed\": 13216,\n",
            "    \"sunglass\": 10951,\n",
            "    \"sunglasses, dark_glasses, shades\": 10952,\n",
            "    \"sunhat, sun_hat\": 10953,\n",
            "    \"sunlamp, sun_lamp, sunray_lamp, sun-ray_lamp\": 10954,\n",
            "    \"sunniness\": 11999,\n",
            "    \"sunray, Enceliopsis_nudicaulis\": 18281,\n",
            "    \"sunroof, sunshine-roof\": 10956,\n",
            "    \"sunscreen, sunblock, sun_blocker\": 10957,\n",
            "    \"sunsuit\": 10958,\n",
            "    \"super_heavyweight\": 16984,\n",
            "    \"superbug, Bemisia_tabaci, poinsettia_strain\": 2782,\n",
            "    \"supercharger\": 10959,\n",
            "    \"supercomputer\": 10960,\n",
            "    \"superconducting_supercollider\": 10961,\n",
            "    \"superhighway, information_superhighway\": 10962,\n",
            "    \"superior, higher-up, superordinate\": 16985,\n",
            "    \"supermarket\": 10963,\n",
            "    \"supermom\": 16986,\n",
            "    \"supernova\": 14419,\n",
            "    \"supernumerary, spear_carrier, extra\": 16987,\n",
            "    \"superstructure\": 10964,\n",
            "    \"supertanker\": 10965,\n",
            "    \"supper\": 12334,\n",
            "    \"supper_club\": 10966,\n",
            "    \"supplejack\": 10967,\n",
            "    \"supply_chamber\": 10968,\n",
            "    \"supply_closet\": 10969,\n",
            "    \"support\": 10971,\n",
            "    \"support_column\": 10972,\n",
            "    \"support_hose, support_stocking\": 10973,\n",
            "    \"supporting_structure\": 10974,\n",
            "    \"supporting_tower\": 10975,\n",
            "    \"supremo\": 16988,\n",
            "    \"surcoat\": 10984,\n",
            "    \"surf_casting, surf_fishing\": 107,\n",
            "    \"surface-to-air_missile, SAM\": 10981,\n",
            "    \"surface-to-air_missile_system\": 10982,\n",
            "    \"surface_gauge, surface_gage, scribing_block\": 10977,\n",
            "    \"surface_lift\": 10978,\n",
            "    \"surface_search_radar\": 10979,\n",
            "    \"surface_ship\": 10980,\n",
            "    \"surfbird, Aphriza_virgata\": 1973,\n",
            "    \"surfboat\": 10983,\n",
            "    \"surfing, surfboarding, surfriding\": 46,\n",
            "    \"surfperch, surffish, surf_fish\": 3860,\n",
            "    \"surge_suppressor, surge_protector, spike_suppressor, spike_arrester, lightning_arrester\": 10987,\n",
            "    \"surgeon's_knot\": 10985,\n",
            "    \"surgeon, operating_surgeon, sawbones\": 16989,\n",
            "    \"surgeonfish\": 4011,\n",
            "    \"surgery\": 10986,\n",
            "    \"surgical_dressing\": 10988,\n",
            "    \"surgical_instrument\": 10989,\n",
            "    \"surgical_knife\": 10990,\n",
            "    \"suricate, Suricata_tetradactyla\": 2471,\n",
            "    \"surplice\": 10991,\n",
            "    \"surpriser\": 16992,\n",
            "    \"surrey\": 10992,\n",
            "    \"surtout\": 10993,\n",
            "    \"surveillance_system\": 10994,\n",
            "    \"surveying_instrument, surveyor's_instrument\": 10995,\n",
            "    \"surveyor\": 16994,\n",
            "    \"surveyor's_level\": 10996,\n",
            "    \"survivor, subsister\": 16995,\n",
            "    \"sushi\": 13738,\n",
            "    \"sushi_bar\": 10997,\n",
            "    \"suslik, souslik, Citellus_citellus\": 3146,\n",
            "    \"suspension, suspension_system\": 10998,\n",
            "    \"suspension_bridge\": 10999,\n",
            "    \"suspensory, suspensory_bandage\": 11000,\n",
            "    \"sustaining_pedal, loud_pedal\": 11001,\n",
            "    \"sutler, victualer, victualler, provisioner\": 16996,\n",
            "    \"suture, surgical_seam\": 11002,\n",
            "    \"suture, sutura, fibrous_joint\": 12151,\n",
            "    \"swab\": 11004,\n",
            "    \"swab, swob, mop\": 11003,\n",
            "    \"swaddling_clothes, swaddling_bands\": 11005,\n",
            "    \"swag\": 11006,\n",
            "    \"swage_block\": 11007,\n",
            "    \"swagger_stick\": 11008,\n",
            "    \"swale\": 14420,\n",
            "    \"swallow\": 774,\n",
            "    \"swallow-tailed_coat, swallowtail, morning_coat\": 11009,\n",
            "    \"swallow-tailed_kite, swallow-tailed_hawk, Elanoides_forficatus\": 828,\n",
            "    \"swami\": 14596,\n",
            "    \"swamp, swampland\": 14421,\n",
            "    \"swamp_ash, Fraxinus_caroliniana\": 19224,\n",
            "    \"swamp_azalea, swamp_honeysuckle, white_honeysuckle, Rhododendron_viscosum\": 19034,\n",
            "    \"swamp_birch, water_birch, mountain_birch, Western_paper_birch, Western_birch, Betula_fontinalis\": 19163,\n",
            "    \"swamp_buggy, marsh_buggy\": 11010,\n",
            "    \"swamp_candles, Lysimachia_terrestris\": 18652,\n",
            "    \"swamp_chestnut_oak, Quercus_michauxii\": 19130,\n",
            "    \"swamp_cottonwood, black_cottonwood, downy_poplar, swamp_poplar, Populus_heterophylla\": 20365,\n",
            "    \"swamp_dewberry, swamp_blackberry, Rubus_hispidus\": 20138,\n",
            "    \"swamp_fly_honeysuckle\": 20201,\n",
            "    \"swamp_gum, Eucalypt_ovata\": 19328,\n",
            "    \"swamp_horsetail, water_horsetail, Equisetum_fluviatile\": 21580,\n",
            "    \"swamp_laurel, bog_laurel, bog_kalmia, Kalmia_polifolia\": 19014,\n",
            "    \"swamp_milkweed, Asclepias_incarnata\": 21615,\n",
            "    \"swamp_oak, Viminaria_juncea, Viminaria_denudata\": 19919,\n",
            "    \"swamp_pine\": 17381,\n",
            "    \"swamp_rabbit, canecutter, swamp_hare, Sylvilagus_aquaticus\": 3031,\n",
            "    \"swamp_sparrow, Melospiza_georgiana\": 573,\n",
            "    \"swamp_sunflower, Helianthus_angustifolius\": 18326,\n",
            "    \"swamp_white_oak, swamp_oak, Quercus_bicolor\": 19110,\n",
            "    \"swamp_willow, black_willow, Salix_nigra\": 20347,\n",
            "    \"swan\": 1567,\n",
            "    \"swan's_down\": 11011,\n",
            "    \"swan_dive, swallow_dive\": 42,\n",
            "    \"swan_orchid, swanflower, swan-flower, swanneck, swan-neck\": 18528,\n",
            "    \"swastika, Hakenkreuz\": 12243,\n",
            "    \"swathe, wrapping\": 11012,\n",
            "    \"swatter, flyswatter, flyswat\": 11013,\n",
            "    \"sweat_bag\": 11014,\n",
            "    \"sweat_pants, sweatpants\": 11017,\n",
            "    \"sweat_suit, sweatsuit, sweats, workout_suit\": 11020,\n",
            "    \"sweatband\": 11015,\n",
            "    \"sweater, jumper\": 11016,\n",
            "    \"sweatshirt\": 11018,\n",
            "    \"sweatshop\": 11019,\n",
            "    \"sweep, sweep_oar\": 11021,\n",
            "    \"sweep_hand, sweep-second\": 11022,\n",
            "    \"sweeper\": 16997,\n",
            "    \"sweet, confection\": 12463,\n",
            "    \"sweet-potato_whitefly\": 2781,\n",
            "    \"sweet_William, Dianthus_barbatus\": 17856,\n",
            "    \"sweet_alyssum, sweet_alison, Lobularia_maritima\": 18063,\n",
            "    \"sweet_bay, swamp_bay, swamp_laurel, Magnolia_virginiana\": 17619,\n",
            "    \"sweet_bells, Leucothoe_racemosa\": 19020,\n",
            "    \"sweet_birch, cherry_birch, black_birch, Betula_lenta\": 19161,\n",
            "    \"sweet_buckeye\": 20463,\n",
            "    \"sweet_calabash\": 13091,\n",
            "    \"sweet_calabash, Passiflora_maliformis\": 19439,\n",
            "    \"sweet_cassava, Manihot_dulcis\": 20883,\n",
            "    \"sweet_cherry, Prunus_avium\": 20087,\n",
            "    \"sweet_cherry, black_cherry\": 13109,\n",
            "    \"sweet_cicely\": 13347,\n",
            "    \"sweet_cicely, Myrrhis_odorata\": 20921,\n",
            "    \"sweet_cider\": 13995,\n",
            "    \"sweet_coltsfoot, Petasites_sagitattus\": 18390,\n",
            "    \"sweet_corn, green_corn\": 12952,\n",
            "    \"sweet_false_chamomile, wild_chamomile, German_chamomile, Matricaria_recutita, Matricaria_chamomilla\": 18373,\n",
            "    \"sweet_fern, Comptonia_peregrina, Comptonia_asplenifolia\": 17702,\n",
            "    \"sweet_four_o'clock, maravilla, Mirabilis_longiflora\": 17941,\n",
            "    \"sweet_gale, Scotch_gale, Myrica_gale\": 17698,\n",
            "    \"sweet_gum, sweet_gum_tree, bilsted, red_gum, American_sweet_gum, Liquidambar_styraciflua\": 19260,\n",
            "    \"sweet_lemon, sweet_lime, Citrus_limetta\": 20296,\n",
            "    \"sweet_marjoram, knotted_marjoram, Origanum_majorana, Majorana_hortensis\": 20679,\n",
            "    \"sweet_melon, muskmelon, sweet_melon_vine, Cucumis_melo\": 18847,\n",
            "    \"sweet_orange\": 13054,\n",
            "    \"sweet_orange, sweet_orange_tree, Citrus_sinensis\": 20291,\n",
            "    \"sweet_pepper\": 12872,\n",
            "    \"sweet_pickle\": 13376,\n",
            "    \"sweet_potato\": 12816,\n",
            "    \"sweet_roll, coffee_roll\": 12749,\n",
            "    \"sweet_sand_verbena, Abronia_fragrans\": 17930,\n",
            "    \"sweet_scabious, pincushion_flower, mournful_widow, Scabiosa_atropurpurea\": 20220,\n",
            "    \"sweet_sultan, Amberboa_moschata, Centaurea_moschata\": 18122,\n",
            "    \"sweet_sultan, Centaurea_imperialis\": 18234,\n",
            "    \"sweet_unicorn_plant, Proboscidea_fragrans, Martynia_fragrans\": 20744,\n",
            "    \"sweet_vermouth, Italian_vermouth\": 13851,\n",
            "    \"sweet_vetch, Hedysarum_boreale\": 19810,\n",
            "    \"sweet_woodruff, waldmeister\": 13346,\n",
            "    \"sweet_woodruff, waldmeister, woodruff, fragrant_bedstraw, Galium_odoratum, Asperula_odorata\": 20172,\n",
            "    \"sweet_wormwood, Artemisia_annua\": 18152,\n",
            "    \"sweetbrier, sweetbriar, brier, briar, eglantine, Rosa_eglanteria\": 20022,\n",
            "    \"sweetening, sweetener\": 13599,\n",
            "    \"sweetheart, sweetie, steady, truelove\": 16998,\n",
            "    \"sweetleaf, Symplocus_tinctoria\": 20486,\n",
            "    \"sweetmeat\": 12466,\n",
            "    \"sweetsop, annon, sugar_apple\": 13137,\n",
            "    \"sweetsop, sweetsop_tree, Annona_squamosa\": 17576,\n",
            "    \"swell\": 14422,\n",
            "    \"swift\": 1469,\n",
            "    \"swiftlet, Collocalia_inexpectata\": 1472,\n",
            "    \"swimming, swim\": 30,\n",
            "    \"swimming_crab\": 1844,\n",
            "    \"swimming_trunks, bathing_trunks\": 11023,\n",
            "    \"swimsuit, swimwear, bathing_suit, swimming_costume, bathing_costume\": 11024,\n",
            "    \"swine\": 3310,\n",
            "    \"swing\": 11025,\n",
            "    \"swing_door, swinging_door\": 11026,\n",
            "    \"swinger, tramp\": 16999,\n",
            "    \"switch, electric_switch, electrical_switch\": 11027,\n",
            "    \"switch_engine, donkey_engine\": 11029,\n",
            "    \"switch_grass, Panicum_virgatum\": 18738,\n",
            "    \"switchblade, switchblade_knife, flick-knife, flick_knife\": 11028,\n",
            "    \"switcher, whipper\": 17000,\n",
            "    \"swivel\": 11030,\n",
            "    \"swivel_chair\": 11031,\n",
            "    \"swizzle\": 13973,\n",
            "    \"swizzle_stick\": 11032,\n",
            "    \"sword, blade, brand, steel\": 11033,\n",
            "    \"sword_bean, Canavalia_gladiata\": 19751,\n",
            "    \"sword_cane, sword_stick\": 11034,\n",
            "    \"sword_grass\": 18668,\n",
            "    \"swordfish, Xiphias_gladius\": 4037,\n",
            "    \"swordtail, helleri, topminnow, Xyphophorus_helleri\": 382,\n",
            "    \"swot, grind, nerd, wonk, dweeb\": 17001,\n",
            "    \"sycamore, great_maple, scottish_maple, Acer_pseudoplatanus\": 20416,\n",
            "    \"sycamore, sycamore_fig, mulberry_fig, Ficus_sycomorus\": 19489,\n",
            "    \"syconium\": 21381,\n",
            "    \"sycophant, toady, crawler, lackey, ass-kisser\": 17002,\n",
            "    \"syllabub, sillabub\": 12558,\n",
            "    \"sylph\": 17003,\n",
            "    \"symmetry, proportion\": 21718,\n",
            "    \"sympathizer, sympathiser, well-wisher\": 17004,\n",
            "    \"symphonist\": 17005,\n",
            "    \"synagogue, temple, tabernacle\": 11036,\n",
            "    \"synapsid, synapsid_reptile\": 1129,\n",
            "    \"synchrocyclotron\": 11037,\n",
            "    \"synchroflash\": 11038,\n",
            "    \"synchromesh\": 11039,\n",
            "    \"synchronous_converter, rotary, rotary_converter\": 11040,\n",
            "    \"synchronous_motor\": 11041,\n",
            "    \"synchroscope, synchronoscope, synchronizer, synchroniser\": 11043,\n",
            "    \"synchrotron\": 11042,\n",
            "    \"syncopator\": 17006,\n",
            "    \"syndic\": 17007,\n",
            "    \"synthesizer, synthesiser\": 11044,\n",
            "    \"syringe\": 11045,\n",
            "    \"syrup, sirup\": 13604,\n",
            "    \"system\": 11046,\n",
            "    \"tab_key, tab\": 11050,\n",
            "    \"tabard\": 11047,\n",
            "    \"tabasco, red_pepper\": 12882,\n",
            "    \"tabbouleh, tabooli\": 13280,\n",
            "    \"tabby, queen\": 2395,\n",
            "    \"tabby, tabby_cat\": 2397,\n",
            "    \"tabi, tabis\": 11049,\n",
            "    \"table\": 11052,\n",
            "    \"table-mountain_pine, prickly_pine, hickory_pine, Pinus_pungens\": 17389,\n",
            "    \"table-tennis_racquet, table-tennis_bat, pingpong_paddle\": 11060,\n",
            "    \"table-tennis_table, ping-pong_table, pingpong_table\": 11059,\n",
            "    \"table_knife\": 11054,\n",
            "    \"table_lamp\": 11055,\n",
            "    \"table_saw\": 11056,\n",
            "    \"table_wine\": 13847,\n",
            "    \"tablefork\": 11053,\n",
            "    \"tableland, plateau\": 14423,\n",
            "    \"tablespoon\": 11057,\n",
            "    \"tablet-armed_chair\": 11058,\n",
            "    \"tabletop\": 11061,\n",
            "    \"tableware\": 11062,\n",
            "    \"tabloid, rag, sheet\": 12182,\n",
            "    \"tabor, tabour\": 11063,\n",
            "    \"tabor_pipe\": 9261,\n",
            "    \"taboret, tabouret\": 11064,\n",
            "    \"tachina_fly\": 2619,\n",
            "    \"tachistoscope, t-scope\": 11065,\n",
            "    \"tachograph\": 11066,\n",
            "    \"tachometer, tach\": 11067,\n",
            "    \"tachymeter, tacheometer\": 11068,\n",
            "    \"tack\": 11069,\n",
            "    \"tack_hammer\": 11070,\n",
            "    \"taco\": 13747,\n",
            "    \"taco_sauce\": 13359,\n",
            "    \"tactician\": 17008,\n",
            "    \"tadpole, polliwog, pollywog\": 3566,\n",
            "    \"tadpole_shrimp\": 1887,\n",
            "    \"taenia\": 1725,\n",
            "    \"taffeta\": 11071,\n",
            "    \"taffrail\": 11072,\n",
            "    \"taffy\": 12535,\n",
            "    \"tagasaste, Chamaecytisus_palmensis, Cytesis_proliferus\": 19760,\n",
            "    \"tagger\": 17009,\n",
            "    \"tahini\": 13598,\n",
            "    \"tahoka_daisy, tansy_leaf_aster, Machaeranthera_tanacetifolia\": 18369,\n",
            "    \"tail, tail_end\": 21757,\n",
            "    \"tail_rotor, anti-torque_rotor\": 11078,\n",
            "    \"tailback\": 17010,\n",
            "    \"tailed_frog, bell_toad, ribbed_toad, tailed_toad, Ascaphus_trui\": 947,\n",
            "    \"tailgate, tailboard\": 11073,\n",
            "    \"tailless_tenrec, Tenrec_ecaudatus\": 1654,\n",
            "    \"taillight, tail_lamp, rear_light, rear_lamp\": 11074,\n",
            "    \"tailor's_chalk\": 11076,\n",
            "    \"tailor-made\": 11075,\n",
            "    \"tailorbird, Orthotomus_sutorius\": 671,\n",
            "    \"tailpipe\": 11077,\n",
            "    \"tailstock\": 11079,\n",
            "    \"taipan, Oxyuranus_scutellatus\": 1229,\n",
            "    \"take-up\": 11080,\n",
            "    \"takin, gnu_goat, Budorcas_taxicolor\": 3425,\n",
            "    \"talapoin, Cercopithecus_talapoin\": 3617,\n",
            "    \"talaria\": 11081,\n",
            "    \"talcum, talcum_powder\": 11082,\n",
            "    \"talipot, talipot_palm, Corypha_umbraculifera\": 19951,\n",
            "    \"tall_bellflower, Campanula_americana\": 18489,\n",
            "    \"tall_gallberry_holly\": 20429,\n",
            "    \"tall_goldenrod\": 18439,\n",
            "    \"tall_oat_grass, tall_meadow_grass, evergreen_grass, false_oat, French_rye, Arrhenatherum_elatius\": 18684,\n",
            "    \"tallgrass, tall-grass\": 18669,\n",
            "    \"tallyman\": 17012,\n",
            "    \"tallyman, tally_clerk\": 17011,\n",
            "    \"talus, scree\": 14424,\n",
            "    \"tam, tam-o'-shanter, tammy\": 11083,\n",
            "    \"tamale\": 13740,\n",
            "    \"tamale_pie\": 13741,\n",
            "    \"tamandua, tamandu, lesser_anteater, Tamandua_tetradactyla\": 3562,\n",
            "    \"tamarau, tamarao, Bubalus_mindorensis, Anoa_mindorensis\": 3370,\n",
            "    \"tamarin, lion_monkey, lion_marmoset, leoncita\": 3641,\n",
            "    \"tamarind, tamarind_tree, tamarindo, Tamarindus_indica\": 19732,\n",
            "    \"tamarind, tamarindo\": 13155,\n",
            "    \"tamarisk_gerbil, Meriones_unguiculatus\": 3096,\n",
            "    \"tambour\": 11084,\n",
            "    \"tambour, embroidery_frame, embroidery_hoop\": 11085,\n",
            "    \"tambourine\": 11086,\n",
            "    \"tammy\": 11087,\n",
            "    \"tamp, tamper, tamping_bar\": 11088,\n",
            "    \"tampion, tompion\": 11090,\n",
            "    \"tampon\": 11091,\n",
            "    \"tan, topaz\": 12053,\n",
            "    \"tanager\": 784,\n",
            "    \"tanbark_oak, Lithocarpus_densiflorus\": 19091,\n",
            "    \"tandoor\": 11092,\n",
            "    \"tanekaha, Phyllocladus_trichomanoides\": 17480,\n",
            "    \"tangelo, tangelo_tree, ugli_fruit, Citrus_tangelo\": 20293,\n",
            "    \"tangelo, ugli, ugli_fruit\": 13052,\n",
            "    \"tangerine\": 13051,\n",
            "    \"tangerine, tangerine_tree\": 20288,\n",
            "    \"tangle\": 14425,\n",
            "    \"tangle_orchid\": 18600,\n",
            "    \"tangram\": 11093,\n",
            "    \"tank, army_tank, armored_combat_vehicle, armoured_combat_vehicle\": 11095,\n",
            "    \"tank, storage_tank\": 11094,\n",
            "    \"tank_car, tank\": 11097,\n",
            "    \"tank_destroyer\": 11098,\n",
            "    \"tank_engine, tank_locomotive\": 11099,\n",
            "    \"tank_shell\": 11101,\n",
            "    \"tank_top\": 11102,\n",
            "    \"tankard\": 11096,\n",
            "    \"tanker, tank_driver\": 17013,\n",
            "    \"tanker_plane\": 11100,\n",
            "    \"tannoy\": 11103,\n",
            "    \"tansy, golden_buttons, scented_fern, Tanacetum_vulgare\": 18453,\n",
            "    \"tansy-leaved_rocket, Hugueninia_tanacetifolia, Sisymbrium_tanacetifolia\": 18058,\n",
            "    \"tansy_mustard, Descurainia_pinnata\": 18049,\n",
            "    \"tap, spigot\": 11104,\n",
            "    \"tap_wrench\": 11115,\n",
            "    \"tapa, tappa\": 11105,\n",
            "    \"tape, tape_recording, taping\": 11106,\n",
            "    \"tape, tapeline, tape_measure\": 11107,\n",
            "    \"tape_deck\": 11108,\n",
            "    \"tape_drive, tape_transport, transport\": 11109,\n",
            "    \"tape_grass, eelgrass, wild_celery, Vallisneria_spiralis\": 20010,\n",
            "    \"tape_player\": 11110,\n",
            "    \"tape_recorder, tape_machine\": 11111,\n",
            "    \"tapenade\": 13597,\n",
            "    \"taper\": 21730,\n",
            "    \"taper_file\": 11112,\n",
            "    \"tapestry, tapis\": 11113,\n",
            "    \"tapeworm, cestode\": 1723,\n",
            "    \"tapioca\": 12606,\n",
            "    \"tapioca_pudding\": 12607,\n",
            "    \"tapir\": 3306,\n",
            "    \"tapper, wiretapper, phone_tapper\": 17014,\n",
            "    \"tappet\": 11114,\n",
            "    \"taproot\": 21344,\n",
            "    \"tar_pit\": 14426,\n",
            "    \"tarahumara_frog, Rana_tarahumarae\": 940,\n",
            "    \"tarantula\": 1272,\n",
            "    \"tardigrade\": 1302,\n",
            "    \"tare\": 11116,\n",
            "    \"target, butt\": 11117,\n",
            "    \"target_acquisition_system\": 11118,\n",
            "    \"tarmacadam, tarmac\": 21805,\n",
            "    \"tarmacadam, tarmac, macadam\": 11119,\n",
            "    \"tarnished_plant_bug, Lygus_lineolaris\": 2755,\n",
            "    \"taro, cocoyam, dasheen, eddo\": 17800,\n",
            "    \"taro, taro_plant, dalo, dasheen, Colocasia_esculenta\": 17799,\n",
            "    \"taro, taro_root, cocoyam, dasheen, edda\": 12986,\n",
            "    \"tarpan, Equus_caballus_gomelini\": 3237,\n",
            "    \"tarpaulin, tarp\": 11120,\n",
            "    \"tarpon, Tarpon_atlanticus\": 3785,\n",
            "    \"tarragon, estragon\": 13348,\n",
            "    \"tarragon, estragon, Artemisia_dracunculus\": 18154,\n",
            "    \"tarsier\": 3665,\n",
            "    \"tartan, plaid\": 11121,\n",
            "    \"tartare_sauce, tartar_sauce\": 13408,\n",
            "    \"tarweed\": 18372,\n",
            "    \"tarwood, tar-wood, Dacrydium_colensoi\": 17494,\n",
            "    \"tarwood, tar-wood, New_Zealand_mountain_pine, Halocarpus_bidwilli, Dacrydium_bidwilli\": 17497,\n",
            "    \"tassel_flower, Emilia_sagitta\": 18279,\n",
            "    \"tassel_hyacinth, Muscari_comosum\": 19642,\n",
            "    \"tasset, tasse\": 11122,\n",
            "    \"taster, taste_tester, taste-tester, sampler\": 17017,\n",
            "    \"tatouay, cabassous, Cabassous_unicinctus\": 3549,\n",
            "    \"tattler\": 1990,\n",
            "    \"tattoo\": 11123,\n",
            "    \"tautog, blackfish, Tautoga_onitis\": 3984,\n",
            "    \"tavern, tap_house\": 11124,\n",
            "    \"tawny_eagle, Aquila_rapax\": 851,\n",
            "    \"tawny_owl, Strix_aluco\": 879,\n",
            "    \"tawse\": 11125,\n",
            "    \"tax_assessor, assessor\": 17018,\n",
            "    \"taxer\": 17019,\n",
            "    \"taxi_dancer\": 17020,\n",
            "    \"taximeter\": 11126,\n",
            "    \"taxonomist, taxonomer, systematist\": 17021,\n",
            "    \"tayra, taira, Eira_barbara\": 3542,\n",
            "    \"tea\": 14066,\n",
            "    \"tea, afternoon_tea, teatime\": 12332,\n",
            "    \"tea, tea_leaf\": 14064,\n",
            "    \"tea-like_drink\": 14067,\n",
            "    \"tea-strainer\": 11140,\n",
            "    \"tea_bag\": 14065,\n",
            "    \"tea_ball\": 11129,\n",
            "    \"tea_bread\": 12669,\n",
            "    \"tea_cart, teacart, tea_trolley, tea_wagon\": 11130,\n",
            "    \"tea_chest\": 11131,\n",
            "    \"tea_gown\": 11134,\n",
            "    \"tea_maker\": 11136,\n",
            "    \"tea_table\": 11141,\n",
            "    \"tea_tortrix, tortrix, Homona_coffearia\": 2899,\n",
            "    \"tea_tray\": 11142,\n",
            "    \"tea_urn\": 11143,\n",
            "    \"teacher, instructor\": 17022,\n",
            "    \"teaching_aid\": 11132,\n",
            "    \"teaching_fellow\": 17023,\n",
            "    \"teacup\": 11133,\n",
            "    \"teak, Tectona_grandis\": 20853,\n",
            "    \"teakettle\": 11135,\n",
            "    \"teal\": 1519,\n",
            "    \"team_sport\": 176,\n",
            "    \"teapot\": 11137,\n",
            "    \"tear_gas, teargas, lacrimator, lachrymator\": 21816,\n",
            "    \"tearaway\": 17024,\n",
            "    \"teasel, teazel, teasle\": 20215,\n",
            "    \"teashop, teahouse, tearoom, tea_parlor, tea_parlour\": 11138,\n",
            "    \"teaspoon\": 11139,\n",
            "    \"technical_sergeant\": 17025,\n",
            "    \"technician\": 17026,\n",
            "    \"tee, golf_tee\": 11144,\n",
            "    \"tee_hinge, T_hinge\": 11145,\n",
            "    \"teetotaler, teetotaller, teetotalist\": 17028,\n",
            "    \"teff, teff_grass, Eragrostis_tef, Eragrostic_abyssinica\": 18719,\n",
            "    \"teg\": 3387,\n",
            "    \"teiid_lizard, teiid\": 1054,\n",
            "    \"teju\": 1061,\n",
            "    \"telecom_hotel, telco_building\": 11146,\n",
            "    \"telecommunication, telecom\": 12184,\n",
            "    \"telecommunication_system, telecom_system, telecommunication_equipment, telecom_equipment\": 11147,\n",
            "    \"telegraph, telegraphy\": 11148,\n",
            "    \"telegraph_key\": 11149,\n",
            "    \"telegraph_plant, semaphore_plant, Codariocalyx_motorius, Desmodium_motorium, Desmodium_gyrans\": 19771,\n",
            "    \"telegraphy\": 12199,\n",
            "    \"telemeter\": 11150,\n",
            "    \"teleost_fish, teleost, teleostan\": 3739,\n",
            "    \"telephone, phone, telephone_set\": 11151,\n",
            "    \"telephone, telephony\": 12185,\n",
            "    \"telephone_bell\": 11152,\n",
            "    \"telephone_booth, phone_booth, call_box, telephone_box, telephone_kiosk\": 11153,\n",
            "    \"telephone_cord, phone_cord\": 11154,\n",
            "    \"telephone_jack, phone_jack\": 11155,\n",
            "    \"telephone_line, phone_line, telephone_circuit, subscriber_line, line\": 11156,\n",
            "    \"telephone_plug, phone_plug\": 11157,\n",
            "    \"telephone_pole, telegraph_pole, telegraph_post\": 11158,\n",
            "    \"telephone_receiver, receiver\": 11159,\n",
            "    \"telephone_system, phone_system\": 11160,\n",
            "    \"telephone_wire, telephone_line, telegraph_wire, telegraph_line\": 11161,\n",
            "    \"telephoto_lens, zoom_lens\": 11162,\n",
            "    \"telescope, scope\": 11164,\n",
            "    \"telescopic_sight, telescope_sight\": 11165,\n",
            "    \"telethermometer\": 11166,\n",
            "    \"teletypewriter, teleprinter, teletype_machine, telex, telex_machine\": 11167,\n",
            "    \"television, telecasting, TV, video\": 12208,\n",
            "    \"television, television_system\": 11168,\n",
            "    \"television_antenna, tv-antenna\": 11169,\n",
            "    \"television_camera, tv_camera, camera\": 11170,\n",
            "    \"television_equipment, video_equipment\": 11171,\n",
            "    \"television_monitor, tv_monitor\": 11172,\n",
            "    \"television_receiver, television, television_set, tv, tv_set, idiot_box, boob_tube, telly, goggle_box\": 11173,\n",
            "    \"television_reporter, television_newscaster, TV_reporter, TV_newsman\": 17029,\n",
            "    \"television_room, tv_room\": 11174,\n",
            "    \"television_transmitter\": 11175,\n",
            "    \"telpher, telfer\": 11176,\n",
            "    \"telpherage, telferage\": 11177,\n",
            "    \"tempera, poster_paint, poster_color, poster_colour\": 11178,\n",
            "    \"temple\": 11180,\n",
            "    \"temple_orange\": 13047,\n",
            "    \"temple_orange, temple_orange_tree, tangor, king_orange, Citrus_nobilis\": 20292,\n",
            "    \"temporary_hookup, patch\": 11181,\n",
            "    \"temporizer, temporiser\": 17030,\n",
            "    \"tempter\": 17031,\n",
            "    \"tempura\": 13742,\n",
            "    \"ten-spined_stickleback, Gasterosteus_pungitius\": 401,\n",
            "    \"tenant\": 17035,\n",
            "    \"tenant, renter\": 17034,\n",
            "    \"tench, Tinca_tinca\": 359,\n",
            "    \"tender\": 11184,\n",
            "    \"tender, ship's_boat, pinnace, cutter\": 11183,\n",
            "    \"tender, supply_ship\": 11182,\n",
            "    \"tenderfoot\": 17036,\n",
            "    \"tendril\": 21307,\n",
            "    \"tenement, tenement_house\": 11185,\n",
            "    \"tennis, lawn_tennis\": 165,\n",
            "    \"tennis_ball\": 11186,\n",
            "    \"tennis_camp\": 11187,\n",
            "    \"tennis_player\": 17037,\n",
            "    \"tennis_pro, professional_tennis_player\": 17038,\n",
            "    \"tennis_racket, tennis_racquet\": 11188,\n",
            "    \"tenon\": 11189,\n",
            "    \"tenor_drum, tom-tom\": 11190,\n",
            "    \"tenor_saxophonist, tenorist\": 17039,\n",
            "    \"tenoroon\": 11191,\n",
            "    \"tenpenny_nail\": 11192,\n",
            "    \"tenpin\": 11193,\n",
            "    \"tenrec, tendrac\": 1653,\n",
            "    \"tensimeter\": 11194,\n",
            "    \"tensiometer\": 11197,\n",
            "    \"tent, collapsible_shelter\": 11198,\n",
            "    \"tent-caterpillar_moth, Malacosoma_americana\": 2973,\n",
            "    \"tent-caterpillar_moth, Malacosoma_disstria\": 2975,\n",
            "    \"tent-fly, rainfly, fly_sheet, fly, tent_flap\": 11201,\n",
            "    \"tent_caterpillar\": 2974,\n",
            "    \"tent_peg\": 11202,\n",
            "    \"tenter\": 11199,\n",
            "    \"tenterhook\": 11200,\n",
            "    \"tepary_bean, Phaseolus_acutifolius_latifolius\": 19868,\n",
            "    \"tepee, tipi, teepee\": 11203,\n",
            "    \"tequila\": 13894,\n",
            "    \"terebinth, Pistacia_terebinthus\": 20443,\n",
            "    \"teredo\": 1819,\n",
            "    \"teriyaki\": 13743,\n",
            "    \"term_infant\": 17032,\n",
            "    \"termer\": 17040,\n",
            "    \"terminal\": 11205,\n",
            "    \"terminal, pole\": 11204,\n",
            "    \"termite, white_ant\": 2715,\n",
            "    \"tern\": 2036,\n",
            "    \"terra_cotta\": 11207,\n",
            "    \"terra_sigillata, Samian_ware\": 11209,\n",
            "    \"terrace, bench\": 14427,\n",
            "    \"terraced_house\": 11206,\n",
            "    \"terrapin\": 1005,\n",
            "    \"terrarium\": 11208,\n",
            "    \"terreplein\": 14198,\n",
            "    \"terrier\": 2220,\n",
            "    \"terrine\": 13744,\n",
            "    \"terror, scourge, threat\": 17041,\n",
            "    \"terry, terry_cloth, terrycloth\": 11210,\n",
            "    \"tertigravida, gravida_III\": 17042,\n",
            "    \"tessera\": 11212,\n",
            "    \"test-tube_baby\": 17046,\n",
            "    \"test_equipment\": 11213,\n",
            "    \"test_rocket, research_rocket, test_instrument_vehicle\": 11214,\n",
            "    \"test_room, testing_room\": 11215,\n",
            "    \"testacean\": 309,\n",
            "    \"testator, testate\": 17043,\n",
            "    \"testatrix\": 17044,\n",
            "    \"testee, examinee\": 17045,\n",
            "    \"testudo\": 11216,\n",
            "    \"tetherball\": 111,\n",
            "    \"tetra\": 3899,\n",
            "    \"tetrahedron\": 21749,\n",
            "    \"tetrapod\": 2518,\n",
            "    \"tetraskelion, tetraskele\": 11217,\n",
            "    \"tetrasporangium\": 21294,\n",
            "    \"tetraspore\": 17324,\n",
            "    \"tetrode\": 11218,\n",
            "    \"textile_machine\": 11219,\n",
            "    \"textile_mill\": 11220,\n",
            "    \"textile_screw_pine, lauhala, Pandanus_tectorius\": 18817,\n",
            "    \"thane\": 17048,\n",
            "    \"thatch\": 12093,\n",
            "    \"thatch, thatched_roof\": 11221,\n",
            "    \"thatch_palm, thatch_tree, silver_thatch, broom_palm, Thrinax_parviflora\": 19975,\n",
            "    \"theater, theatre, house\": 11222,\n",
            "    \"theater_curtain, theatre_curtain\": 11223,\n",
            "    \"theater_light\": 11224,\n",
            "    \"theatrical_producer\": 17049,\n",
            "    \"theca\": 1670,\n",
            "    \"theist\": 15003,\n",
            "    \"theodolite, transit\": 11225,\n",
            "    \"theologian, theologist, theologizer, theologiser\": 17050,\n",
            "    \"theorist, theoretician, theorizer, theoriser, idealogue\": 17051,\n",
            "    \"theosophist\": 17052,\n",
            "    \"therapist, healer\": 17053,\n",
            "    \"theremin\": 11226,\n",
            "    \"thermal_printer\": 11227,\n",
            "    \"thermal_reactor\": 11228,\n",
            "    \"thermocouple, thermocouple_junction\": 11229,\n",
            "    \"thermoelectric_thermometer, thermel, electric_thermometer\": 11230,\n",
            "    \"thermograph\": 11232,\n",
            "    \"thermograph, thermometrograph\": 11231,\n",
            "    \"thermohydrometer, thermogravimeter\": 11233,\n",
            "    \"thermojunction\": 11234,\n",
            "    \"thermometer\": 11235,\n",
            "    \"thermonuclear_reactor, fusion_reactor\": 11236,\n",
            "    \"thermopile\": 11237,\n",
            "    \"thermos, thermos_bottle, thermos_flask\": 11238,\n",
            "    \"thermostat, thermoregulator\": 11239,\n",
            "    \"theropod, theropod_dinosaur, bird-footed_dinosaur\": 1118,\n",
            "    \"thick-billed_murre, Uria_lomvia\": 2052,\n",
            "    \"thickhead, whistler\": 633,\n",
            "    \"thigh_pad\": 11240,\n",
            "    \"thill\": 11241,\n",
            "    \"thimble\": 11242,\n",
            "    \"thimbleweed, Anemone_cylindrica\": 17653,\n",
            "    \"thin-shelled_mussel\": 1813,\n",
            "    \"thinker\": 17056,\n",
            "    \"thinker, creative_thinker, mind\": 17055,\n",
            "    \"thinning_shears\": 11243,\n",
            "    \"third_base, third\": 11244,\n",
            "    \"third_gear, third\": 11245,\n",
            "    \"third_rail\": 11246,\n",
            "    \"thistle\": 18219,\n",
            "    \"thistledown\": 17570,\n",
            "    \"thong\": 11248,\n",
            "    \"thorn_apple\": 20816,\n",
            "    \"thornbill\": 1476,\n",
            "    \"thorny_amaranth, Amaranthus_spinosus\": 17898,\n",
            "    \"thorny_skate, Raja_radiata\": 508,\n",
            "    \"thoroughbred\": 3248,\n",
            "    \"thoroughbred, purebred, pureblood\": 227,\n",
            "    \"thrasher, mocking_thrush\": 752,\n",
            "    \"threadfin\": 3987,\n",
            "    \"threadfish, thread-fish, Alectis_ciliaris\": 3879,\n",
            "    \"three-centered_arch, basket-handle_arch\": 11249,\n",
            "    \"three-cornered_leek, triquetrous_leek, Allium_triquetrum\": 19580,\n",
            "    \"three-day_event\": 12249,\n",
            "    \"three-decker\": 11250,\n",
            "    \"three-dimensional_radar, 3d_radar\": 11251,\n",
            "    \"three-hitter, 3-hitter\": 141,\n",
            "    \"three-mile_limit\": 14199,\n",
            "    \"three-piece_suit\": 11252,\n",
            "    \"three-quarter_binding\": 11253,\n",
            "    \"three-seeded_mercury, Acalypha_virginica\": 20872,\n",
            "    \"three-spined_stickleback, Gasterosteus_aculeatus\": 400,\n",
            "    \"three-toed_sloth, ai, Bradypus_tridactylus\": 3554,\n",
            "    \"three-way_calling\": 12198,\n",
            "    \"three-way_switch, three-point_switch\": 11254,\n",
            "    \"thresher, thrasher, thresher_shark, fox_shark, Alopius_vulpinus\": 462,\n",
            "    \"thresher, thrasher, threshing_machine\": 11255,\n",
            "    \"threshing_floor\": 11256,\n",
            "    \"thrift\": 18661,\n",
            "    \"thriftshop, second-hand_store\": 11257,\n",
            "    \"thrips, thrip, thripid\": 2856,\n",
            "    \"throat_protector\": 11258,\n",
            "    \"throne\": 11259,\n",
            "    \"thrower\": 17057,\n",
            "    \"thrush\": 634,\n",
            "    \"thrush_nightingale, Luscinia_luscinia\": 647,\n",
            "    \"thrust_bearing\": 11260,\n",
            "    \"thruster\": 11261,\n",
            "    \"thumb\": 11262,\n",
            "    \"thumbhole\": 11263,\n",
            "    \"thumbscrew\": 11264,\n",
            "    \"thumbstall\": 11265,\n",
            "    \"thumbtack, drawing_pin, pushpin\": 11266,\n",
            "    \"thunder_snake, worm_snake, Carphophis_amoenus\": 1143,\n",
            "    \"thunderer\": 11267,\n",
            "    \"thurifer\": 17058,\n",
            "    \"thwart, cross_thwart\": 11268,\n",
            "    \"thylacine, Tasmanian_wolf, Tasmanian_tiger, Thylacinus_cynocephalus\": 1621,\n",
            "    \"thyme\": 20732,\n",
            "    \"thyme-leaved_sandwort, Arenaria_serpyllifolia\": 17851,\n",
            "    \"thyme-leaved_speedwell, Veronica_serpyllifolia\": 20796,\n",
            "    \"thyrse, thyrsus\": 21364,\n",
            "    \"thyrsopteris, Thyrsopteris_elegans\": 21510,\n",
            "    \"thysanopter, thysanopteron, thysanopterous_insect\": 2855,\n",
            "    \"thysanuran_insect, thysanuron\": 2850,\n",
            "    \"tiara\": 11269,\n",
            "    \"tick\": 1277,\n",
            "    \"tick_trefoil, beggar_lice, beggar's_lice\": 19789,\n",
            "    \"ticket_collector, ticket_taker\": 17059,\n",
            "    \"ticking\": 11270,\n",
            "    \"tickler_coil\": 11271,\n",
            "    \"tickseed_sunflower, Bidens_coronata, Bidens_trichosperma\": 18209,\n",
            "    \"tidal_basin\": 14428,\n",
            "    \"tideland\": 14429,\n",
            "    \"tidytips, tidy_tips, Layia_platyglossa\": 18355,\n",
            "    \"tie, railroad_tie, crosstie, sleeper\": 11273,\n",
            "    \"tie, tie_beam\": 11272,\n",
            "    \"tie_rack\": 11274,\n",
            "    \"tie_rod\": 11275,\n",
            "    \"tiercel, tercel, tercelet\": 815,\n",
            "    \"tiger, Panthera_tigris\": 2436,\n",
            "    \"tiger_beetle\": 2532,\n",
            "    \"tiger_cat\": 2398,\n",
            "    \"tiger_cowrie, Cypraea_tigris\": 1784,\n",
            "    \"tiger_cub\": 222,\n",
            "    \"tiger_lily, devil_lily, kentan, Lilium_lancifolium\": 19550,\n",
            "    \"tiger_lily, leopard_lily, pine_lily, Lilium_catesbaei\": 19548,\n",
            "    \"tiger_moth\": 2969,\n",
            "    \"tiger_rattlesnake, Crotalus_tigris\": 1248,\n",
            "    \"tiger_salamander, Ambystoma_tigrinum\": 909,\n",
            "    \"tiger_shark, Galeocerdo_cuvieri\": 475,\n",
            "    \"tiger_snake, Notechis_scutatus\": 1225,\n",
            "    \"tight_end\": 17060,\n",
            "    \"tights, leotards\": 11276,\n",
            "    \"tiglon, tigon\": 2440,\n",
            "    \"tigress\": 2438,\n",
            "    \"tile\": 11277,\n",
            "    \"tile_cutter\": 11278,\n",
            "    \"tile_roof\": 11279,\n",
            "    \"tilefish, Lopholatilus_chamaeleonticeps\": 3866,\n",
            "    \"tiler\": 17061,\n",
            "    \"tiller\": 11280,\n",
            "    \"tilt-top_table, tip-top_table, tip_table\": 11282,\n",
            "    \"tilter\": 11281,\n",
            "    \"timbale\": 12621,\n",
            "    \"timber\": 11284,\n",
            "    \"timber_hitch\": 11285,\n",
            "    \"timber_rattlesnake, banded_rattlesnake, Crotalus_horridus_horridus\": 1242,\n",
            "    \"timber_tree\": 21313,\n",
            "    \"timber_wolf, grey_wolf, gray_wolf, Canis_lupus\": 2357,\n",
            "    \"timbrel\": 11286,\n",
            "    \"time-delay_measuring_instrument, time-delay_measuring_system\": 11290,\n",
            "    \"time-fuse\": 11291,\n",
            "    \"time-switch\": 11295,\n",
            "    \"time_bomb, infernal_machine\": 11287,\n",
            "    \"time_capsule\": 11288,\n",
            "    \"time_clock\": 11289,\n",
            "    \"timekeeper, timer\": 17062,\n",
            "    \"timepiece, timekeeper, horologe\": 11292,\n",
            "    \"timer\": 11294,\n",
            "    \"timothy\": 13231,\n",
            "    \"timothy, herd's_grass, Phleum_pratense\": 18747,\n",
            "    \"timucu\": 3804,\n",
            "    \"tin\": 11296,\n",
            "    \"tinamou, partridge\": 1399,\n",
            "    \"tinderbox\": 11297,\n",
            "    \"tine\": 11298,\n",
            "    \"tineid, tineid_moth\": 2922,\n",
            "    \"tineoid, tineoid_moth\": 2921,\n",
            "    \"tinfoil, tin_foil\": 11299,\n",
            "    \"tinkerer, fiddler\": 17064,\n",
            "    \"tinsmith, tinner\": 17065,\n",
            "    \"tinter\": 17066,\n",
            "    \"tippet\": 11300,\n",
            "    \"tippler, social_drinker\": 17067,\n",
            "    \"tipster, tout\": 17068,\n",
            "    \"tipsy_cake\": 12561,\n",
            "    \"tipu, tipu_tree, yellow_jacaranda, pride_of_Bolivia\": 19904,\n",
            "    \"tiramisu\": 12559,\n",
            "    \"tire_chain, snow_chain\": 11301,\n",
            "    \"tire_iron, tire_tool\": 11302,\n",
            "    \"tisane\": 14071,\n",
            "    \"titfer\": 11303,\n",
            "    \"tithe_barn\": 11304,\n",
            "    \"titi, buckwheat_tree, Cliftonia_monophylla\": 20403,\n",
            "    \"titi, titi_monkey\": 3649,\n",
            "    \"titmouse, tit\": 764,\n",
            "    \"titrator\": 11305,\n",
            "    \"toad_lily, Montia_chamissoi\": 17990,\n",
            "    \"toad_rush, Juncus_bufonius\": 17705,\n",
            "    \"toadfish, Opsanus_tau\": 3799,\n",
            "    \"toadflax, butter-and-eggs, wild_snapdragon, devil's_flax, Linaria_vulgaris\": 20768,\n",
            "    \"toadstool\": 21048,\n",
            "    \"toast\": 12709,\n",
            "    \"toast_mistress\": 17071,\n",
            "    \"toaster\": 11306,\n",
            "    \"toaster_oven\": 11307,\n",
            "    \"toasting_fork\": 11308,\n",
            "    \"toastmaster, symposiarch\": 17070,\n",
            "    \"toastrack\": 11309,\n",
            "    \"tobacco_hornworm, tomato_worm, Manduca_sexta\": 2947,\n",
            "    \"tobacco_mildew, Peronospora_hyoscyami\": 21012,\n",
            "    \"tobacco_moth, cacao_moth, Ephestia_elutella\": 2918,\n",
            "    \"tobacco_pouch\": 11310,\n",
            "    \"tobacco_shop, tobacconist_shop, tobacconist\": 11311,\n",
            "    \"tobacco_thrips, Frankliniella_fusca\": 2857,\n",
            "    \"toboggan\": 11312,\n",
            "    \"tobogganing\": 58,\n",
            "    \"tobogganist\": 17072,\n",
            "    \"toby, toby_jug, toby_fillpot_jug\": 11313,\n",
            "    \"tocsin, warning_bell\": 11314,\n",
            "    \"tody\": 1467,\n",
            "    \"toe\": 11315,\n",
            "    \"toecap\": 11316,\n",
            "    \"toehold\": 11317,\n",
            "    \"toetoe, toitoi, Arundo_conspicua, Chionochloa_conspicua\": 18685,\n",
            "    \"toga\": 11318,\n",
            "    \"toga_virilis\": 11319,\n",
            "    \"toggle\": 11320,\n",
            "    \"toggle_bolt\": 11321,\n",
            "    \"toggle_joint\": 11322,\n",
            "    \"toggle_switch, toggle, on-off_switch, on/off_switch\": 11323,\n",
            "    \"togs, threads, duds\": 11324,\n",
            "    \"toiler\": 17033,\n",
            "    \"toilet, lavatory, lav, can, john, privy, bathroom\": 11325,\n",
            "    \"toilet_bag, sponge_bag\": 11326,\n",
            "    \"toilet_bowl\": 11327,\n",
            "    \"toilet_kit, travel_kit\": 11328,\n",
            "    \"toilet_powder, bath_powder, dusting_powder\": 11329,\n",
            "    \"toilet_seat\": 11331,\n",
            "    \"toilet_tissue, toilet_paper, bathroom_tissue\": 21817,\n",
            "    \"toilet_water, eau_de_toilette\": 11332,\n",
            "    \"toiletry, toilet_articles\": 11330,\n",
            "    \"tokamak\": 11333,\n",
            "    \"token\": 11334,\n",
            "    \"toll_bridge\": 11336,\n",
            "    \"toll_call\": 12196,\n",
            "    \"toll_line\": 11338,\n",
            "    \"tollbooth, tolbooth, tollhouse\": 11335,\n",
            "    \"tollgate, tollbar\": 11337,\n",
            "    \"tolu_tree, tolu_balsam_tree, Myroxylon_balsamum, Myroxylon_toluiferum\": 19850,\n",
            "    \"tom, tomcat\": 2393,\n",
            "    \"tomahawk, hatchet\": 11339,\n",
            "    \"tomatillo, husk_tomato, Mexican_husk_tomato\": 12970,\n",
            "    \"tomatillo, jamberry, Mexican_husk_tomato, Physalis_ixocarpa\": 20839,\n",
            "    \"tomatillo, miltomate, purple_ground_cherry, jamberry, Physalis_philadelphica\": 20840,\n",
            "    \"tomato\": 12966,\n",
            "    \"tomato_concentrate\": 12296,\n",
            "    \"tomato_hornworm, potato_worm, Manduca_quinquemaculata\": 2949,\n",
            "    \"tomato_juice\": 14016,\n",
            "    \"tomato_paste\": 13380,\n",
            "    \"tomato_sauce\": 13407,\n",
            "    \"tomboy, romp, hoyden\": 17073,\n",
            "    \"tomograph\": 11341,\n",
            "    \"tomtate, Haemulon_aurolineatum\": 3913,\n",
            "    \"tone_arm, pickup, pickup_arm\": 11342,\n",
            "    \"toner\": 11343,\n",
            "    \"tongs, pair_of_tongs\": 11344,\n",
            "    \"tongue\": 11345,\n",
            "    \"tongue, knife\": 21758,\n",
            "    \"tongue_and_groove_joint\": 11346,\n",
            "    \"tongue_depressor\": 11347,\n",
            "    \"tongue_worm, pentastomid\": 1311,\n",
            "    \"tonguefish, tongue-fish\": 4130,\n",
            "    \"tongueflower, tongue-flower\": 18552,\n",
            "    \"tongueless_frog\": 981,\n",
            "    \"tonic, tonic_water, quinine_water\": 14042,\n",
            "    \"tonka_bean, coumara_nut\": 17714,\n",
            "    \"tonometer\": 11348,\n",
            "    \"tool\": 11349,\n",
            "    \"tool_bag\": 11350,\n",
            "    \"toolbox, tool_chest, tool_cabinet, tool_case\": 11351,\n",
            "    \"toolmaker\": 17074,\n",
            "    \"toolshed, toolhouse\": 11352,\n",
            "    \"tooth\": 11354,\n",
            "    \"tooth_fungus\": 21027,\n",
            "    \"tooth_shell, tusk_shell\": 1752,\n",
            "    \"toothache_tree, sea_ash, Zanthoxylum_americanum, Zanthoxylum_fraxineum\": 20306,\n",
            "    \"toothbrush\": 11355,\n",
            "    \"toothbrush_tree, mustard_tree, Salvadora_persica\": 19212,\n",
            "    \"toothed_spurge, Euphorbia_dentata\": 20871,\n",
            "    \"toothed_whale\": 2113,\n",
            "    \"toothpick\": 11356,\n",
            "    \"top\": 14201,\n",
            "    \"top, cover\": 11358,\n",
            "    \"topgallant, topgallant_mast\": 11359,\n",
            "    \"topgallant, topgallant_sail\": 11360,\n",
            "    \"topiary\": 11361,\n",
            "    \"topknot\": 11362,\n",
            "    \"topmast\": 11363,\n",
            "    \"topminnow, poeciliid_fish, poeciliid, live-bearer\": 384,\n",
            "    \"topper\": 11364,\n",
            "    \"topsail\": 11365,\n",
            "    \"toque\": 11366,\n",
            "    \"tor\": 14431,\n",
            "    \"torch\": 11367,\n",
            "    \"torchbearer\": 17075,\n",
            "    \"toroid\": 21721,\n",
            "    \"torpedo\": 11370,\n",
            "    \"torpedo-boat_destroyer\": 11372,\n",
            "    \"torpedo_boat\": 11371,\n",
            "    \"torpedo_tube\": 11373,\n",
            "    \"torque_converter\": 11374,\n",
            "    \"torque_wrench\": 11375,\n",
            "    \"tortilla_chip\": 12821,\n",
            "    \"tortoise\": 1013,\n",
            "    \"tortoiseshell, tortoiseshell-cat, calico_cat\": 2399,\n",
            "    \"tortoiseshell, tortoiseshell_butterfly\": 2865,\n",
            "    \"tortricid, tortricid_moth\": 2897,\n",
            "    \"torture_chamber\": 11376,\n",
            "    \"tossed_salad\": 13261,\n",
            "    \"tosser\": 17078,\n",
            "    \"tosser, jerk-off, wanker\": 17079,\n",
            "    \"tostada\": 13752,\n",
            "    \"totalitarian\": 17080,\n",
            "    \"totara, Podocarpus_totara\": 17490,\n",
            "    \"totem_pole\": 11377,\n",
            "    \"toucan\": 1503,\n",
            "    \"toucanet\": 1504,\n",
            "    \"touch_football\": 129,\n",
            "    \"touch_screen, touchscreen\": 11378,\n",
            "    \"toupee, toupe\": 11379,\n",
            "    \"touraco, turaco, turacou, turakoo\": 1452,\n",
            "    \"touring_car, phaeton, tourer\": 11380,\n",
            "    \"tourist, tourer, holidaymaker\": 17081,\n",
            "    \"tourist_class, third_class\": 11381,\n",
            "    \"tout, ticket_tout\": 17083,\n",
            "    \"tout, touter\": 17082,\n",
            "    \"tovarich, tovarisch\": 17084,\n",
            "    \"tow_truck, tow_car, wrecker\": 11389,\n",
            "    \"towel\": 11382,\n",
            "    \"towel_rack, towel_horse\": 11384,\n",
            "    \"towel_rail, towel_bar\": 11385,\n",
            "    \"toweling, towelling\": 11383,\n",
            "    \"tower\": 11386,\n",
            "    \"tower_mustard, tower_cress, Turritis_glabra, Arabis_glabra\": 18014,\n",
            "    \"towhead\": 17085,\n",
            "    \"towhee\": 592,\n",
            "    \"town_clerk\": 17086,\n",
            "    \"town_crier, crier\": 17087,\n",
            "    \"town_hall\": 11387,\n",
            "    \"townsman, towner\": 17088,\n",
            "    \"towpath, towing_path\": 11388,\n",
            "    \"toxicologist\": 17089,\n",
            "    \"toy\": 11390,\n",
            "    \"toy_Manchester, toy_Manchester_terrier\": 2233,\n",
            "    \"toy_box, toy_chest\": 11391,\n",
            "    \"toy_dog, toy\": 2173,\n",
            "    \"toy_poodle\": 2351,\n",
            "    \"toy_spaniel\": 2179,\n",
            "    \"toy_terrier\": 2184,\n",
            "    \"toyon, tollon, Christmasberry, Christmas_berry, Heteromeles_arbutifolia, Photinia_arbutifolia\": 20052,\n",
            "    \"toyshop\": 11392,\n",
            "    \"trace_detector\": 11393,\n",
            "    \"trachodon, trachodont\": 1111,\n",
            "    \"track\": 11395,\n",
            "    \"track, rail, rails, runway\": 11394,\n",
            "    \"track, running\": 21,\n",
            "    \"track_and_field\": 20,\n",
            "    \"track_star\": 17090,\n",
            "    \"trackball\": 11396,\n",
            "    \"tracked_vehicle\": 11397,\n",
            "    \"tract_house\": 11398,\n",
            "    \"tract_housing\": 11399,\n",
            "    \"traction_engine\": 11400,\n",
            "    \"tractor\": 11402,\n",
            "    \"trade_magazine\": 12233,\n",
            "    \"trade_unionist, unionist, union_member\": 17092,\n",
            "    \"trader, bargainer, dealer, monger\": 17091,\n",
            "    \"tradescant's_aster\": 18198,\n",
            "    \"traditionalist, diehard\": 17093,\n",
            "    \"traffic_cop\": 17094,\n",
            "    \"traffic_light, traffic_signal, stoplight\": 12242,\n",
            "    \"tragedian\": 17096,\n",
            "    \"tragedienne\": 17097,\n",
            "    \"tragopan\": 1390,\n",
            "    \"trail_bike, dirt_bike, scrambler\": 11403,\n",
            "    \"trail_boss\": 17098,\n",
            "    \"trailer\": 11405,\n",
            "    \"trailer, house_trailer\": 11404,\n",
            "    \"trailer_camp, trailer_park\": 11406,\n",
            "    \"trailer_truck, tractor_trailer, trucking_rig, rig, articulated_lorry, semi\": 11407,\n",
            "    \"trailing_arbutus, mayflower, Epigaea_repens\": 19005,\n",
            "    \"trailing_edge\": 11408,\n",
            "    \"trailing_four_o'clock, trailing_windmills, Allionia_incarnata\": 17935,\n",
            "    \"train, railroad_train\": 11409,\n",
            "    \"trainer\": 17099,\n",
            "    \"traitor, treasonist\": 17100,\n",
            "    \"traitress\": 17101,\n",
            "    \"tramline, tramway, streetcar_track\": 11410,\n",
            "    \"trammel\": 11411,\n",
            "    \"tramp_steamer, tramp\": 11413,\n",
            "    \"trampoline\": 11412,\n",
            "    \"tramway, tram, aerial_tramway, cable_tramway, ropeway\": 11414,\n",
            "    \"transactor\": 17102,\n",
            "    \"transcriber\": 17103,\n",
            "    \"transdermal_patch, skin_patch\": 11415,\n",
            "    \"transept\": 11416,\n",
            "    \"transfer, transferee\": 17104,\n",
            "    \"transferee\": 17105,\n",
            "    \"transformer\": 11417,\n",
            "    \"transistor, junction_transistor, electronic_transistor\": 11418,\n",
            "    \"transit_instrument\": 11419,\n",
            "    \"translator, transcriber\": 17106,\n",
            "    \"transmission, transmission_system\": 11420,\n",
            "    \"transmission_shaft\": 11421,\n",
            "    \"transmitter, sender\": 11422,\n",
            "    \"transom, transom_window, fanlight\": 11424,\n",
            "    \"transom, traverse\": 11423,\n",
            "    \"transponder\": 11425,\n",
            "    \"transport_ship\": 11428,\n",
            "    \"transporter\": 11426,\n",
            "    \"transporter, car_transporter\": 11427,\n",
            "    \"transvestite, cross-dresser\": 17107,\n",
            "    \"trap\": 11429,\n",
            "    \"trap-door_spider\": 1275,\n",
            "    \"trap_door\": 11430,\n",
            "    \"trapeze\": 11431,\n",
            "    \"trapezohedron\": 21759,\n",
            "    \"trapezoid\": 21687,\n",
            "    \"trapper's_tea, glandular_Labrador_tea\": 19015,\n",
            "    \"trave, traverse, crossbeam, crosspiece\": 11432,\n",
            "    \"travel_iron\": 11433,\n",
            "    \"traveler, traveller\": 14498,\n",
            "    \"traveling_salesman, travelling_salesman, commercial_traveler, commercial_traveller, roadman, bagman\": 17108,\n",
            "    \"traverser\": 17109,\n",
            "    \"trawl, dragnet, trawl_net\": 11434,\n",
            "    \"trawl, trawl_line, spiller, setline, trotline\": 11435,\n",
            "    \"trawler\": 17110,\n",
            "    \"trawler, dragger\": 11436,\n",
            "    \"tray\": 11437,\n",
            "    \"tray_cloth\": 11438,\n",
            "    \"treacle, golden_syrup\": 13608,\n",
            "    \"tread\": 11440,\n",
            "    \"treadmill\": 11442,\n",
            "    \"treadmill, treadwheel, tread-wheel\": 11441,\n",
            "    \"treasure_chest\": 11443,\n",
            "    \"treasure_flower, Gazania_rigens\": 18305,\n",
            "    \"treasure_ship\": 11444,\n",
            "    \"tree\": 21312,\n",
            "    \"tree, tree_diagram\": 21743,\n",
            "    \"tree_cricket\": 2735,\n",
            "    \"tree_frog, tree-frog\": 946,\n",
            "    \"tree_heath, briar, brier, Erica_arborea\": 18986,\n",
            "    \"tree_lizard, Urosaurus_ornatus\": 1044,\n",
            "    \"tree_lupine, Lupinus_arboreus\": 19837,\n",
            "    \"tree_of_heaven, tree_of_the_gods, Ailanthus_altissima\": 20312,\n",
            "    \"tree_of_knowledge\": 21631,\n",
            "    \"tree_shrew\": 3653,\n",
            "    \"tree_sparrow, Passer_montanus\": 585,\n",
            "    \"tree_sparrow, Spizella_arborea\": 571,\n",
            "    \"tree_squirrel\": 3135,\n",
            "    \"tree_swallow, tree_martin, Hirundo_nigricans\": 777,\n",
            "    \"tree_swift, crested_swift\": 1473,\n",
            "    \"tree_toad, tree_frog, tree-frog\": 968,\n",
            "    \"tree_tomato, tamarillo\": 20815,\n",
            "    \"tree_wallaby, tree_kangaroo\": 1605,\n",
            "    \"treehopper\": 2820,\n",
            "    \"treelet\": 21314,\n",
            "    \"treenail, trenail, trunnel\": 11445,\n",
            "    \"trefoil_arch\": 11446,\n",
            "    \"trellis, treillage\": 11447,\n",
            "    \"trench\": 11448,\n",
            "    \"trench_coat\": 11449,\n",
            "    \"trench_knife\": 11450,\n",
            "    \"trencher\": 17112,\n",
            "    \"trend-setter, taste-maker, fashion_arbiter\": 17113,\n",
            "    \"trepan\": 11451,\n",
            "    \"trepan, trephine\": 11452,\n",
            "    \"trepang, Holothuria_edulis\": 3020,\n",
            "    \"trestle\": 11454,\n",
            "    \"trestle_bridge\": 11455,\n",
            "    \"trestle_table\": 11456,\n",
            "    \"trestlework\": 11457,\n",
            "    \"trews\": 11458,\n",
            "    \"trial_balloon\": 11459,\n",
            "    \"triangle\": 11461,\n",
            "    \"triangle, trigon, trilateral\": 21680,\n",
            "    \"tribesman\": 17114,\n",
            "    \"tribute_album, benefit_album\": 12226,\n",
            "    \"triceratops\": 1106,\n",
            "    \"trichina, Trichinella_spiralis\": 1735,\n",
            "    \"trichion, crinion\": 14130,\n",
            "    \"trichodesmium\": 269,\n",
            "    \"trichopterous_insect, trichopteran, trichopteron\": 2846,\n",
            "    \"triclinium\": 11463,\n",
            "    \"tricorn, tricorne\": 11464,\n",
            "    \"tricot\": 11465,\n",
            "    \"tricycle, trike, velocipede\": 11466,\n",
            "    \"trident\": 11467,\n",
            "    \"trier, attempter, essayer\": 17115,\n",
            "    \"trifle\": 12560,\n",
            "    \"trifler\": 17116,\n",
            "    \"trifoliate_orange, trifoliata, wild_orange, Poncirus_trifoliata\": 20304,\n",
            "    \"trigger\": 11468,\n",
            "    \"triggerfish\": 4096,\n",
            "    \"trilobite\": 1257,\n",
            "    \"trimaran\": 11469,\n",
            "    \"trimmer\": 11470,\n",
            "    \"trimmer_arch\": 11471,\n",
            "    \"triode\": 11472,\n",
            "    \"trip_wire\": 11475,\n",
            "    \"triple_cream, triple_creme\": 13543,\n",
            "    \"triple_sec\": 13920,\n",
            "    \"tripletail\": 4054,\n",
            "    \"tripod\": 11473,\n",
            "    \"triptych\": 11474,\n",
            "    \"trireme\": 11476,\n",
            "    \"triskelion, triskele\": 11477,\n",
            "    \"triumphal_arch\": 11478,\n",
            "    \"trivet\": 11480,\n",
            "    \"trogon\": 1505,\n",
            "    \"troika\": 11481,\n",
            "    \"troll\": 11482,\n",
            "    \"troll, trolling\": 102,\n",
            "    \"trolleybus, trolley_coach, trackless_trolley\": 11483,\n",
            "    \"trombiculid\": 1293,\n",
            "    \"trombidiid\": 1292,\n",
            "    \"trombone\": 11484,\n",
            "    \"troop_carrier, troop_transport\": 11485,\n",
            "    \"trooper\": 17117,\n",
            "    \"trooper, state_trooper\": 17118,\n",
            "    \"troopship\": 11486,\n",
            "    \"trophozoite\": 343,\n",
            "    \"trophy_case\": 11487,\n",
            "    \"tropic_bird, tropicbird, boatswain_bird\": 2077,\n",
            "    \"tropical_pitcher_plant\": 20498,\n",
            "    \"tropical_prawn\": 1869,\n",
            "    \"troposphere\": 14433,\n",
            "    \"trotting_horse, trotter\": 3274,\n",
            "    \"trough\": 11488,\n",
            "    \"trouser\": 11489,\n",
            "    \"trouser, pant\": 11492,\n",
            "    \"trouser_cuff\": 11490,\n",
            "    \"trouser_press, pants_presser\": 11491,\n",
            "    \"trousseau\": 11493,\n",
            "    \"trout\": 3770,\n",
            "    \"trowel\": 11494,\n",
            "    \"truant, hooky_player\": 17120,\n",
            "    \"truck, motortruck\": 11495,\n",
            "    \"true_anomaly\": 21704,\n",
            "    \"true_bug\": 2764,\n",
            "    \"true_frog, ranid\": 932,\n",
            "    \"true_fungus\": 21042,\n",
            "    \"true_laurel, bay, bay_laurel, bay_tree, Laurus_nobilis\": 17595,\n",
            "    \"true_lobster\": 1855,\n",
            "    \"true_mahogany, Cuban_mahogany, Dominican_mahogany, Swietinia_mahogani\": 20261,\n",
            "    \"true_marmoset\": 3639,\n",
            "    \"true_pepper, pepper_vine\": 21421,\n",
            "    \"true_sago_palm, Metroxylon_sagu\": 19958,\n",
            "    \"true_slime_mold, acellular_slime_mold, plasmodial_slime_mold, myxomycete\": 21002,\n",
            "    \"true_toad\": 949,\n",
            "    \"truffle, chocolate_truffle\": 12537,\n",
            "    \"truffle, earthnut\": 12987,\n",
            "    \"truffle, earthnut, earth-ball\": 21024,\n",
            "    \"trumpet_arch\": 11496,\n",
            "    \"trumpet_honeysuckle, coral_honeysuckle, trumpet_flower, trumpet_vine, Lonicera_sempervirens\": 20199,\n",
            "    \"trumpeter\": 1959,\n",
            "    \"trumpeter, cornetist\": 17121,\n",
            "    \"trumpeter, trumpeter_swan, Cygnus_buccinator\": 1576,\n",
            "    \"trumpetfish, Aulostomus_maculatus\": 408,\n",
            "    \"trumpetwood, trumpet-wood, trumpet_tree, snake_wood, imbauba, Cecropia_peltata\": 19491,\n",
            "    \"truncated_cone\": 21756,\n",
            "    \"truncated_pyramid\": 21755,\n",
            "    \"truncheon, nightstick, baton, billy, billystick, billy_club\": 11497,\n",
            "    \"trundle_bed, trundle, truckle_bed, truckle\": 11498,\n",
            "    \"trunk\": 11499,\n",
            "    \"trunk_hose\": 11500,\n",
            "    \"trunk_lid\": 11501,\n",
            "    \"trunk_line\": 11502,\n",
            "    \"truss\": 11503,\n",
            "    \"truss_bridge\": 11504,\n",
            "    \"trusty\": 17122,\n",
            "    \"try_square\": 11505,\n",
            "    \"tsetse_fly, tsetse, tzetze_fly, tzetze, glossina\": 2614,\n",
            "    \"tuatara, Sphenodon_punctatum\": 1022,\n",
            "    \"tub, vat\": 11507,\n",
            "    \"tub_gurnard, yellow_gurnard, Trigla_lucerna\": 4091,\n",
            "    \"tube, vacuum_tube, thermionic_vacuum_tube, thermionic_tube, electron_tube, thermionic_valve\": 11508,\n",
            "    \"tubercle_bacillus, Mycobacterium_tuberculosis\": 285,\n",
            "    \"tuberose, Polianthes_tuberosa\": 19683,\n",
            "    \"tuberous_begonia\": 19379,\n",
            "    \"tuberous_plant\": 21350,\n",
            "    \"tuck\": 12252,\n",
            "    \"tuck_box\": 11509,\n",
            "    \"tuck_shop\": 11512,\n",
            "    \"tucker\": 11510,\n",
            "    \"tucker-bag\": 11511,\n",
            "    \"tudung\": 11514,\n",
            "    \"tufted_gentian, Gentianopsis_holopetala, Gentiana_holopetala\": 19209,\n",
            "    \"tufted_puffin, Lunda_cirrhata\": 2056,\n",
            "    \"tufted_titmouse, Parus_bicolor\": 767,\n",
            "    \"tufted_vetch, bird_vetch, Calnada_pea, Vicia_cracca\": 19909,\n",
            "    \"tugboat, tug, towboat, tower\": 11515,\n",
            "    \"tulip\": 19627,\n",
            "    \"tulip_orchid, Encyclia_citrina, Cattleya_citrina\": 18545,\n",
            "    \"tulip_tree, tulip_poplar, yellow_poplar, canary_whitewood, Liriodendron_tulipifera\": 17621,\n",
            "    \"tulipwood_tree\": 18909,\n",
            "    \"tulle\": 11516,\n",
            "    \"tumble-dryer, tumble_drier\": 11517,\n",
            "    \"tumblebug\": 2559,\n",
            "    \"tumbler\": 17124,\n",
            "    \"tumbleweed\": 19858,\n",
            "    \"tumbleweed, Amaranthus_albus, Amaranthus_graecizans\": 17895,\n",
            "    \"tumbrel, tumbril\": 11519,\n",
            "    \"tun\": 11520,\n",
            "    \"tuna, Anguilla_sucklandii\": 3736,\n",
            "    \"tuna, Opuntia_tuna\": 17967,\n",
            "    \"tuna, tunny\": 4028,\n",
            "    \"tuna_fish_salad, tuna_salad\": 13275,\n",
            "    \"tunaburger\": 12779,\n",
            "    \"tundra\": 14434,\n",
            "    \"tundra_swan, Cygnus_columbianus\": 1573,\n",
            "    \"tung_tree, tung, tung-oil_tree, Aleurites_fordii\": 20885,\n",
            "    \"tunic\": 11521,\n",
            "    \"tunicate, urochordate, urochord\": 422,\n",
            "    \"tuning_fork\": 11522,\n",
            "    \"tupelo, tupelo_tree\": 19337,\n",
            "    \"tupik, tupek, sealskin_tent\": 11523,\n",
            "    \"turban\": 11524,\n",
            "    \"turban_squash\": 12852,\n",
            "    \"turban_squash, Cucurbita_maxima_turbaniformis\": 18838,\n",
            "    \"turbine\": 11525,\n",
            "    \"turbogenerator\": 11526,\n",
            "    \"turbot, Psetta_maxima\": 4129,\n",
            "    \"tureen\": 11527,\n",
            "    \"turfing_daisy, Tripleurospermum_tchihatchewii, Matricaria_tchihatchewii\": 18465,\n",
            "    \"turkey, Meleagris_gallopavo\": 1340,\n",
            "    \"turkey_cock, gobbler, tom, tom_turkey\": 1341,\n",
            "    \"turkey_stew\": 12436,\n",
            "    \"turkey_stuffing\": 12658,\n",
            "    \"turmeric\": 13350,\n",
            "    \"turmeric, Curcuma_longa, Curcuma_domestica\": 19372,\n",
            "    \"turnbuckle\": 11531,\n",
            "    \"turner, food_turner\": 11532,\n",
            "    \"turnery\": 11533,\n",
            "    \"turnip\": 12979,\n",
            "    \"turnip, white_turnip, Brassica_rapa\": 18030,\n",
            "    \"turnip_greens\": 12982,\n",
            "    \"turnip_plant\": 18029,\n",
            "    \"turnover\": 12616,\n",
            "    \"turnpike\": 11534,\n",
            "    \"turnspit\": 11535,\n",
            "    \"turnstile\": 11536,\n",
            "    \"turnstone\": 1969,\n",
            "    \"turntable\": 11537,\n",
            "    \"turntable, lazy_Susan\": 11538,\n",
            "    \"turpentine_camphor_weed, camphorweed, vinegarweed, Trichostema_lanceolatum\": 20736,\n",
            "    \"turret\": 11539,\n",
            "    \"turret_clock\": 11540,\n",
            "    \"turtle\": 991,\n",
            "    \"turtle_soup, green_turtle_soup\": 12398,\n",
            "    \"turtledove\": 1408,\n",
            "    \"turtleneck, turtle, polo-neck\": 11541,\n",
            "    \"tusker\": 1584,\n",
            "    \"tussah, tusseh, tussur, tussore, tusser, Antheraea_mylitta\": 2966,\n",
            "    \"tussock_bellflower, spreading_bellflower, Campanula_carpatica\": 18495,\n",
            "    \"tussock_caterpillar\": 2903,\n",
            "    \"tutee\": 17125,\n",
            "    \"tutti-frutti\": 12573,\n",
            "    \"twayblade\": 18577,\n",
            "    \"twayblade, Listera_ovata\": 18581,\n",
            "    \"tweed\": 11542,\n",
            "    \"tweeter\": 11543,\n",
            "    \"twenty-two, .22\": 11544,\n",
            "    \"twenty-two_pistol\": 11545,\n",
            "    \"twenty-two_rifle\": 11546,\n",
            "    \"twill\": 11547,\n",
            "    \"twill, twill_weave\": 11548,\n",
            "    \"twin\": 17126,\n",
            "    \"twin_bed\": 11549,\n",
            "    \"twinjet\": 11550,\n",
            "    \"twinkler\": 14435,\n",
            "    \"twist_bit, twist_drill\": 11551,\n",
            "    \"twitterer\": 3691,\n",
            "    \"two-by-four\": 11552,\n",
            "    \"two-eyed_violet, heartsease, Viola_ocellata\": 19452,\n",
            "    \"two-hitter, 2-hitter\": 140,\n",
            "    \"two-man_tent\": 11553,\n",
            "    \"two-piece, two-piece_suit, lounge_suit\": 11554,\n",
            "    \"two-spotted_ladybug, Adalia_bipunctata\": 2534,\n",
            "    \"two-timer\": 17127,\n",
            "    \"two-toed_sloth, unau, unai, Choloepus_didactylus\": 3555,\n",
            "    \"two-toed_sloth, unau, unai, Choloepus_hoffmanni\": 3556,\n",
            "    \"tympanist, timpanist\": 17129,\n",
            "    \"typesetting_machine\": 11555,\n",
            "    \"typewriter\": 11556,\n",
            "    \"typewriter_carriage\": 11557,\n",
            "    \"typewriter_keyboard\": 11558,\n",
            "    \"typhoid_bacillus, Salmonella_typhosa, Salmonella_typhi\": 278,\n",
            "    \"typical_jerboa\": 3123,\n",
            "    \"typist\": 17130,\n",
            "    \"tyrannid\": 606,\n",
            "    \"tyrannosaur, tyrannosaurus, Tyrannosaurus_rex\": 1121,\n",
            "    \"tyrant, autocrat, despot\": 17131,\n",
            "    \"tyrolean, tirolean\": 11559,\n",
            "    \"uakari\": 3648,\n",
            "    \"uke, ukulele\": 11560,\n",
            "    \"ulster\": 11561,\n",
            "    \"ultracentrifuge\": 11562,\n",
            "    \"ultramarine\": 12061,\n",
            "    \"ultramicroscope, dark-field_microscope\": 11563,\n",
            "    \"ultraviolet_lamp, ultraviolet_source\": 11565,\n",
            "    \"umbel\": 21357,\n",
            "    \"umbellifer, umbelliferous_plant\": 20892,\n",
            "    \"umbrella\": 11566,\n",
            "    \"umbrella_bird, Cephalopterus_ornatus\": 622,\n",
            "    \"umbrella_fern, fan_fern, Sticherus_flabellatus, Gleichenia_flabellata\": 21462,\n",
            "    \"umbrella_plant, Eriogonum_allenii\": 19986,\n",
            "    \"umbrella_plant, Indian_rhubarb, Darmera_peltata, Peltiphyllum_peltatum\": 20533,\n",
            "    \"umbrella_plant, umbrella_sedge, Cyperus_alternifolius\": 18802,\n",
            "    \"umbrella_tent\": 11567,\n",
            "    \"umbrella_tree, Schefflera_actinophylla, Brassaia_actinophylla\": 17836,\n",
            "    \"umbrella_tree, umbrella_magnolia, elkwood, elk-wood, Magnolia_tripetala\": 17613,\n",
            "    \"umbrellawort\": 17937,\n",
            "    \"umpire, ump\": 17132,\n",
            "    \"undercarriage\": 11568,\n",
            "    \"undercoat, underseal\": 11569,\n",
            "    \"undergarment, unmentionable\": 11570,\n",
            "    \"underpants\": 11571,\n",
            "    \"undershrub\": 21330,\n",
            "    \"understudy, standby\": 17133,\n",
            "    \"underwear, underclothes, underclothing\": 11572,\n",
            "    \"underwing\": 2934,\n",
            "    \"undesirable\": 17134,\n",
            "    \"undies\": 11573,\n",
            "    \"uneven_parallel_bars, uneven_bars\": 11574,\n",
            "    \"unguiculate, unguiculate_mammal\": 3189,\n",
            "    \"ungulate, hoofed_mammal\": 3188,\n",
            "    \"unicycle, monocycle\": 11575,\n",
            "    \"unicyclist\": 17135,\n",
            "    \"uniform\": 11576,\n",
            "    \"unilateralist\": 17136,\n",
            "    \"universal_donor\": 17139,\n",
            "    \"universal_joint, universal\": 11577,\n",
            "    \"university\": 11578,\n",
            "    \"unskilled_person\": 14500,\n",
            "    \"unwelcome_person, persona_non_grata\": 14499,\n",
            "    \"uphill\": 14436,\n",
            "    \"upholstery\": 11579,\n",
            "    \"upholstery_material\": 11580,\n",
            "    \"upholstery_needle\": 11581,\n",
            "    \"upland_cotton, Gossypium_hirsutum\": 18880,\n",
            "    \"upland_sandpiper, upland_plover, Bartramian_sandpiper, Bartramia_longicauda\": 1987,\n",
            "    \"upland_white_aster, Aster_ptarmicoides\": 18175,\n",
            "    \"uplift\": 11582,\n",
            "    \"upper_berth, upper\": 11583,\n",
            "    \"upright, upright_piano\": 11584,\n",
            "    \"upset, swage\": 11585,\n",
            "    \"upsetter\": 17142,\n",
            "    \"upstager\": 17143,\n",
            "    \"upstairs\": 11586,\n",
            "    \"upstart\": 17145,\n",
            "    \"upstart, parvenu, nouveau-riche, arriviste\": 17144,\n",
            "    \"urceole\": 11587,\n",
            "    \"urchin\": 17146,\n",
            "    \"urial, Ovis_vignei\": 3403,\n",
            "    \"urn\": 11589,\n",
            "    \"urodele, caudate\": 894,\n",
            "    \"urolith\": 14437,\n",
            "    \"urologist\": 17147,\n",
            "    \"ursinia\": 18467,\n",
            "    \"used-car, secondhand_car\": 11590,\n",
            "    \"usher, doorkeeper\": 17149,\n",
            "    \"usherette\": 17148,\n",
            "    \"usurper, supplanter\": 17150,\n",
            "    \"utahraptor, superslasher\": 1128,\n",
            "    \"utensil\": 11591,\n",
            "    \"utility_man\": 17151,\n",
            "    \"utilizer, utiliser\": 17152,\n",
            "    \"uxoricide\": 17154,\n",
            "    \"vacation_home\": 11593,\n",
            "    \"vacationer, vacationist\": 17155,\n",
            "    \"vacuum, vacuum_cleaner\": 11594,\n",
            "    \"vacuum_chamber\": 11595,\n",
            "    \"vacuum_flask, vacuum_bottle\": 11596,\n",
            "    \"vacuum_gauge, vacuum_gage\": 11597,\n",
            "    \"valedictorian, valedictory_speaker\": 17156,\n",
            "    \"valerian\": 20946,\n",
            "    \"valise\": 11599,\n",
            "    \"valley, vale\": 14438,\n",
            "    \"valley_girl\": 17157,\n",
            "    \"valley_pocket_gopher, Thomomys_bottae\": 3132,\n",
            "    \"valve\": 11601,\n",
            "    \"valve-in-head_engine\": 11602,\n",
            "    \"vambrace, lower_cannon\": 11603,\n",
            "    \"vampire_bat, true_vampire_bat\": 2509,\n",
            "    \"van\": 11604,\n",
            "    \"van, caravan\": 11605,\n",
            "    \"vanda\": 18619,\n",
            "    \"vandyke_beard, vandyke\": 12098,\n",
            "    \"vane\": 11606,\n",
            "    \"vanilla\": 18621,\n",
            "    \"vanilla_bean\": 13396,\n",
            "    \"vanilla_ice_cream\": 12574,\n",
            "    \"vanilla_orchid, Vanilla_planifolia\": 18622,\n",
            "    \"vanilla_pudding\": 12596,\n",
            "    \"vaporizer, vaporiser\": 11607,\n",
            "    \"vaquita, Phocoena_sinus\": 2126,\n",
            "    \"variable-pitch_propeller\": 11608,\n",
            "    \"varicella_zoster_virus\": 254,\n",
            "    \"varied_Lorikeet, Glossopsitta_versicolor\": 1438,\n",
            "    \"variegated_horsetail, variegated_scouring_rush, Equisetum_variegatum\": 21584,\n",
            "    \"varietal, varietal_wine\": 13858,\n",
            "    \"variola_major, variola_major_virus\": 244,\n",
            "    \"variometer\": 11609,\n",
            "    \"varnish\": 11610,\n",
            "    \"varnish_tree, lacquer_tree, Chinese_lacquer_tree, Japanese_lacquer_tree, Japanese_varnish_tree, Japanese_sumac, Toxicodendron_vernicifluum, Rhus_verniciflua\": 20460,\n",
            "    \"vascular_ray, medullary_ray\": 21300,\n",
            "    \"vase\": 11611,\n",
            "    \"vault\": 11612,\n",
            "    \"vault, bank_vault\": 11613,\n",
            "    \"vaulter, pole_vaulter, pole_jumper\": 17158,\n",
            "    \"vaulting_horse, long_horse, buck\": 11614,\n",
            "    \"veal_cordon_bleu\": 12654,\n",
            "    \"veal_parmesan, veal_parmigiana\": 12653,\n",
            "    \"veal_scallopini\": 13719,\n",
            "    \"vedalia, Rodolia_cardinalis\": 2537,\n",
            "    \"veery, Wilson's_thrush, Hylocichla_fuscescens\": 644,\n",
            "    \"vegan\": 17160,\n",
            "    \"vegetable, veggie, veg\": 12794,\n",
            "    \"vegetarian\": 17159,\n",
            "    \"vegetarianism\": 12282,\n",
            "    \"vehicle\": 12163,\n",
            "    \"vehicle-borne_transmission\": 14439,\n",
            "    \"vein, mineral_vein\": 14440,\n",
            "    \"vein, vena, venous_blood_vessel\": 12112,\n",
            "    \"veld, veldt\": 14205,\n",
            "    \"velocipede\": 11617,\n",
            "    \"velociraptor\": 1126,\n",
            "    \"velour, velours\": 11618,\n",
            "    \"veloute\": 13467,\n",
            "    \"velvet\": 11619,\n",
            "    \"velvet_ant\": 2689,\n",
            "    \"velvet_bent, velvet_bent_grass, brown_bent, Rhode_Island_bent, dog_bent, Agrostis_canina\": 18678,\n",
            "    \"velvet_grass, Yorkshire_fog, Holcus_lanatus\": 18725,\n",
            "    \"velvet_plant, purple_velvet_plant, royal_velvet_plant, Gynura_aurantiaca\": 18317,\n",
            "    \"velveteen\": 11620,\n",
            "    \"velvetleaf, velvet-leaf, velvetweed, Indian_mallow, butter-print, China_jute, Abutilon_theophrasti\": 18869,\n",
            "    \"vending_machine\": 11621,\n",
            "    \"veneer, veneering\": 11622,\n",
            "    \"venerator\": 17161,\n",
            "    \"venomous_lizard\": 1074,\n",
            "    \"ventilation, ventilation_system, ventilating_system\": 11625,\n",
            "    \"ventilation_shaft\": 11626,\n",
            "    \"ventilator\": 11627,\n",
            "    \"venture_capitalist\": 17162,\n",
            "    \"venturer, merchant-venturer\": 17163,\n",
            "    \"veranda, verandah, gallery\": 11628,\n",
            "    \"verbena, vervain\": 20848,\n",
            "    \"verdigris\": 11629,\n",
            "    \"verdin, Auriparus_flaviceps\": 772,\n",
            "    \"vermillion_flycatcher, firebird, Pyrocephalus_rubinus_mexicanus\": 616,\n",
            "    \"vermillion_rockfish, rasher, Sebastodes_miniatus\": 4077,\n",
            "    \"vermin, varmint\": 17164,\n",
            "    \"vermouth\": 13850,\n",
            "    \"vernal_witch_hazel, Hamamelis_vernalis\": 19256,\n",
            "    \"vernier_caliper, vernier_micrometer\": 11630,\n",
            "    \"vernier_scale, vernier\": 11631,\n",
            "    \"veronica, speedwell\": 20787,\n",
            "    \"vertebrate, craniate\": 430,\n",
            "    \"vertex, peak, apex, acme\": 14206,\n",
            "    \"vertical_file\": 11632,\n",
            "    \"vertical_stabilizer, vertical_stabiliser, vertical_fin, tail_fin, tailfin\": 11633,\n",
            "    \"vertical_tail\": 11634,\n",
            "    \"verticillium\": 21270,\n",
            "    \"vervet, vervet_monkey, Cercopithecus_aethiops_pygerythrus\": 3619,\n",
            "    \"very_important_person, VIP, high-up, dignitary, panjandrum, high_muckamuck\": 17165,\n",
            "    \"vesiculovirus\": 242,\n",
            "    \"vesper_sparrow, grass_finch, Pooecetes_gramineus\": 566,\n",
            "    \"vespertilian_bat, vespertilionid\": 2491,\n",
            "    \"vespid, vespid_wasp\": 2678,\n",
            "    \"vessel\": 11637,\n",
            "    \"vessel, watercraft\": 11636,\n",
            "    \"vest, waistcoat\": 11638,\n",
            "    \"vest_pocket\": 11641,\n",
            "    \"vestiture\": 11639,\n",
            "    \"vestment\": 11640,\n",
            "    \"vestry, sacristy\": 11642,\n",
            "    \"vetch\": 19908,\n",
            "    \"vetchling\": 19816,\n",
            "    \"viaduct\": 11643,\n",
            "    \"viand\": 12444,\n",
            "    \"vibist, vibraphonist\": 17166,\n",
            "    \"vibraphone, vibraharp, vibes\": 11644,\n",
            "    \"vibrator\": 11646,\n",
            "    \"vicar\": 17168,\n",
            "    \"vicar-general\": 17169,\n",
            "    \"vice-regent\": 17173,\n",
            "    \"vice_chancellor\": 17170,\n",
            "    \"vice_president, V.P.\": 17172,\n",
            "    \"vicegerent\": 17171,\n",
            "    \"viceroy, Limenitis_archippus\": 2872,\n",
            "    \"vichyssoise\": 12411,\n",
            "    \"victim, dupe\": 17174,\n",
            "    \"victualer, victualler\": 17176,\n",
            "    \"vicuna\": 11648,\n",
            "    \"vicuna, Vicugna_vicugna\": 3499,\n",
            "    \"video_iPod\": 7872,\n",
            "    \"video_recording, video\": 11652,\n",
            "    \"videocassette\": 11649,\n",
            "    \"videocassette_recorder, VCR\": 11650,\n",
            "    \"videodisk, videodisc, DVD\": 11651,\n",
            "    \"videotape\": 11654,\n",
            "    \"vigil_light, vigil_candle\": 11655,\n",
            "    \"vigilante, vigilance_man\": 17177,\n",
            "    \"villa\": 11658,\n",
            "    \"villager\": 17178,\n",
            "    \"vin_ordinaire\": 13849,\n",
            "    \"vine\": 21305,\n",
            "    \"vine_maple, Acer_circinatum\": 20413,\n",
            "    \"vine_snake\": 1187,\n",
            "    \"vinegar, acetum\": 13397,\n",
            "    \"vinegar_eel, vinegar_worm, Anguillula_aceti, Turbatrix_aceti\": 1734,\n",
            "    \"vinegar_fly\": 2632,\n",
            "    \"vinegarroon, Mastigoproctus_giganteus\": 1264,\n",
            "    \"vinifera, vinifera_grape, common_grape_vine, Vitis_vinifera\": 21409,\n",
            "    \"vinifera_grape\": 13126,\n",
            "    \"vintage\": 13803,\n",
            "    \"vintager\": 17179,\n",
            "    \"vintner, wine_merchant\": 17180,\n",
            "    \"viol\": 11659,\n",
            "    \"viola\": 19446,\n",
            "    \"viola_d'amore\": 11663,\n",
            "    \"viola_da_braccio\": 11661,\n",
            "    \"viola_da_gamba, gamba, bass_viol\": 11662,\n",
            "    \"violator, debaucher, ravisher\": 17181,\n",
            "    \"violator, lawbreaker, law_offender\": 17182,\n",
            "    \"violet\": 19447,\n",
            "    \"violet-flowered_petunia, Petunia_integrifolia\": 20835,\n",
            "    \"violet_wood_sorrel, Oxalis_violacea\": 20269,\n",
            "    \"violin, fiddle\": 11664,\n",
            "    \"violist\": 17183,\n",
            "    \"viper\": 1231,\n",
            "    \"viperine_grass_snake, Natrix_maura\": 1182,\n",
            "    \"virago\": 17184,\n",
            "    \"vireo\": 804,\n",
            "    \"virgin's_bower, old_man's_beard, devil's_darning_needle, Clematis_virginiana\": 17675,\n",
            "    \"virginal, pair_of_virginals\": 11665,\n",
            "    \"viroid, virusoid\": 245,\n",
            "    \"virologist\": 17185,\n",
            "    \"viscacha, chinchillon, Lagostomus_maximus\": 3179,\n",
            "    \"viscometer, viscosimeter\": 11666,\n",
            "    \"viscose_rayon, viscose\": 11667,\n",
            "    \"viscount\": 17188,\n",
            "    \"viscountess\": 17187,\n",
            "    \"vise, bench_vise\": 11668,\n",
            "    \"visionary\": 17190,\n",
            "    \"visiting_fireman\": 17191,\n",
            "    \"visiting_professor\": 17192,\n",
            "    \"visor, vizor\": 11669,\n",
            "    \"visual_display_unit, VDU\": 11670,\n",
            "    \"visualizer, visualiser\": 17193,\n",
            "    \"vitamin\": 21819,\n",
            "    \"vitamin_A, antiophthalmic_factor, axerophthol, A\": 21822,\n",
            "    \"vitamin_A1, retinol\": 21823,\n",
            "    \"vitamin_A2, dehydroretinol\": 21824,\n",
            "    \"vitamin_B1, thiamine, thiamin, aneurin, antiberiberi_factor\": 21826,\n",
            "    \"vitamin_B12, cobalamin, cyanocobalamin, antipernicious_anemia_factor\": 21827,\n",
            "    \"vitamin_B2, vitamin_G, riboflavin, lactoflavin, ovoflavin, hepatoflavin\": 21828,\n",
            "    \"vitamin_B6, pyridoxine, pyridoxal, pyridoxamine, adermin\": 21829,\n",
            "    \"vitamin_Bc, vitamin_M, folate, folic_acid, folacin, pteroylglutamic_acid, pteroylmonoglutamic_acid\": 21830,\n",
            "    \"vitamin_C, C, ascorbic_acid\": 21839,\n",
            "    \"vitamin_D, calciferol, viosterol, ergocalciferol, cholecalciferol, D\": 21832,\n",
            "    \"vitamin_E, tocopherol, E\": 21833,\n",
            "    \"vitamin_K, naphthoquinone, antihemorrhagic_factor\": 21835,\n",
            "    \"vitamin_K1, phylloquinone, phytonadione\": 21836,\n",
            "    \"vitamin_K3, menadione\": 21837,\n",
            "    \"vitamin_P, bioflavinoid, citrin\": 21838,\n",
            "    \"vitamin_pill\": 14098,\n",
            "    \"vivarium\": 11671,\n",
            "    \"viverrine, viverrine_mammal\": 2455,\n",
            "    \"viviparous_eelpout, Zoarces_viviparus\": 4002,\n",
            "    \"vixen\": 2375,\n",
            "    \"vixen, harpy, hellcat\": 17194,\n",
            "    \"vizier\": 17195,\n",
            "    \"vizsla, Hungarian_pointer\": 2270,\n",
            "    \"vodka\": 13895,\n",
            "    \"vodka_martini\": 13959,\n",
            "    \"voice_mail, voicemail\": 12186,\n",
            "    \"voicer\": 17196,\n",
            "    \"voile\": 11673,\n",
            "    \"volcanic_crater, crater\": 14441,\n",
            "    \"volcano\": 14442,\n",
            "    \"vole, field_mouse\": 3079,\n",
            "    \"volleyball\": 11674,\n",
            "    \"volleyball, volleyball_game\": 157,\n",
            "    \"volleyball_net\": 11675,\n",
            "    \"voltage_regulator\": 11676,\n",
            "    \"voltaic_cell, galvanic_cell, primary_cell\": 11677,\n",
            "    \"voltaic_pile, pile, galvanic_pile\": 11678,\n",
            "    \"voltmeter\": 11679,\n",
            "    \"volunteer, military_volunteer, voluntary\": 17198,\n",
            "    \"volunteer, unpaid_worker\": 17197,\n",
            "    \"volva\": 17305,\n",
            "    \"vomitory\": 11680,\n",
            "    \"von_Neumann_machine\": 11681,\n",
            "    \"votary\": 17200,\n",
            "    \"voting_booth\": 11682,\n",
            "    \"voting_machine\": 11683,\n",
            "    \"vouchee\": 17201,\n",
            "    \"voussoir\": 11684,\n",
            "    \"vower\": 17202,\n",
            "    \"vox_angelica, voix_celeste\": 11685,\n",
            "    \"vox_humana\": 11686,\n",
            "    \"voyager\": 17203,\n",
            "    \"voyeur, Peeping_Tom, peeper\": 17204,\n",
            "    \"vulcanizer, vulcaniser\": 17205,\n",
            "    \"vulture\": 858,\n",
            "    \"waders\": 11687,\n",
            "    \"wadi\": 14443,\n",
            "    \"wading_bird, wader\": 1895,\n",
            "    \"wading_pool\": 11688,\n",
            "    \"wafer\": 12710,\n",
            "    \"waffle_iron\": 11689,\n",
            "    \"waffler\": 17206,\n",
            "    \"wagon, coaster_wagon\": 11691,\n",
            "    \"wagon, waggon\": 11690,\n",
            "    \"wagon_tire\": 11692,\n",
            "    \"wagon_wheel\": 11693,\n",
            "    \"wagtail\": 542,\n",
            "    \"wahoo, Acanthocybium_solandri\": 4022,\n",
            "    \"wahoo, burning_bush, Euonymus_atropurpureus\": 20399,\n",
            "    \"waif, street_child\": 17208,\n",
            "    \"wailer\": 17209,\n",
            "    \"wain\": 11694,\n",
            "    \"wainscot, wainscoting, wainscotting\": 11695,\n",
            "    \"wainscoting, wainscotting\": 11696,\n",
            "    \"waist_pack, belt_bag\": 11697,\n",
            "    \"waiter, server\": 17210,\n",
            "    \"waitress\": 17211,\n",
            "    \"wake-up_call\": 12197,\n",
            "    \"walk-in\": 11702,\n",
            "    \"walk-on\": 17213,\n",
            "    \"walk-up_apartment, walk-up\": 11706,\n",
            "    \"walker\": 11700,\n",
            "    \"walker, Zimmer, Zimmer_frame\": 11699,\n",
            "    \"walker, baby-walker, go-cart\": 11698,\n",
            "    \"walkie-talkie, walky-talky\": 11701,\n",
            "    \"walking_delegate\": 17212,\n",
            "    \"walking_fern, walking_leaf, Asplenium_rhizophyllum, Camptosorus_rhizophyllus\": 21489,\n",
            "    \"walking_leaf, leaf_insect\": 2740,\n",
            "    \"walking_shoe\": 11703,\n",
            "    \"walking_stick\": 11704,\n",
            "    \"walking_stick, walkingstick, stick_insect\": 2738,\n",
            "    \"wall\": 21765,\n",
            "    \"wall_clock\": 11709,\n",
            "    \"wall_creeper, tichodrome, Tichodroma_muriaria\": 760,\n",
            "    \"wall_tent\": 11711,\n",
            "    \"wall_unit\": 11712,\n",
            "    \"wallaby, brush_kangaroo\": 1599,\n",
            "    \"wallah\": 17214,\n",
            "    \"wallet, billfold, notecase, pocketbook\": 11710,\n",
            "    \"walleye, walleyed_pike, jack_salmon, dory, Stizostedion_vitreum\": 3818,\n",
            "    \"wallflower\": 18051,\n",
            "    \"wallflower, Cheiranthus_cheiri, Erysimum_cheiri\": 18045,\n",
            "    \"wally\": 17215,\n",
            "    \"walnut\": 13197,\n",
            "    \"walnut, walnut_tree\": 19262,\n",
            "    \"walrus, seahorse, sea_horse\": 2158,\n",
            "    \"walrus_mustache, walrus_moustache\": 12096,\n",
            "    \"waltzer\": 17216,\n",
            "    \"wand\": 11713,\n",
            "    \"wanderer, roamer, rover, bird_of_passage\": 17217,\n",
            "    \"wandering_albatross, Diomedea_exulans\": 2088,\n",
            "    \"wandflower, Sparaxis_tricolor\": 19533,\n",
            "    \"wanton\": 17219,\n",
            "    \"wapiti, elk, American_elk, Cervus_elaphus_canadensis\": 3472,\n",
            "    \"war_paint\": 11720,\n",
            "    \"war_room\": 11722,\n",
            "    \"waratah, Telopea_Oreades\": 18979,\n",
            "    \"waratah, Telopea_speciosissima\": 18980,\n",
            "    \"warble_fly\": 2624,\n",
            "    \"warbler\": 658,\n",
            "    \"ward, hospital_ward\": 11715,\n",
            "    \"wardrobe, closet, press\": 11716,\n",
            "    \"wardroom\": 11717,\n",
            "    \"warehouse, storage_warehouse\": 11718,\n",
            "    \"warhorse\": 3213,\n",
            "    \"warming_pan\": 11719,\n",
            "    \"warplane, military_plane\": 11721,\n",
            "    \"warrantee\": 17221,\n",
            "    \"warren, rabbit_warren\": 14445,\n",
            "    \"warship, war_vessel, combat_ship\": 11723,\n",
            "    \"warthog\": 3320,\n",
            "    \"wasabi\": 18084,\n",
            "    \"wash\": 11724,\n",
            "    \"wash-and-wear\": 11725,\n",
            "    \"washbasin, handbasin, washbowl, lavabo, wash-hand_basin\": 11726,\n",
            "    \"washboard\": 11728,\n",
            "    \"washboard, splashboard\": 11727,\n",
            "    \"washer\": 17222,\n",
            "    \"washer, automatic_washer, washing_machine\": 11729,\n",
            "    \"washerman, laundryman\": 17223,\n",
            "    \"washhouse\": 11731,\n",
            "    \"washroom\": 11732,\n",
            "    \"washstand, wash-hand_stand\": 11733,\n",
            "    \"washtub\": 11734,\n",
            "    \"washwoman, washerwoman, laundrywoman, laundress\": 17224,\n",
            "    \"wasp\": 2677,\n",
            "    \"wasp's_nest, wasps'_nest, hornet's_nest, hornets'_nest\": 14446,\n",
            "    \"wassail\": 14054,\n",
            "    \"wassailer, carouser\": 17225,\n",
            "    \"wastepaper_basket, waste-paper_basket, wastebasket, waste_basket, circular_file\": 11735,\n",
            "    \"wastrel, waster\": 17226,\n",
            "    \"watch, ticker\": 11736,\n",
            "    \"watch_cap\": 11737,\n",
            "    \"watch_case\": 11738,\n",
            "    \"watch_glass\": 11739,\n",
            "    \"watchdog, guard_dog\": 2288,\n",
            "    \"watchtower\": 11740,\n",
            "    \"water\": 14083,\n",
            "    \"water-base_paint\": 11741,\n",
            "    \"water-cooled_reactor\": 11749,\n",
            "    \"water-mint, water_mint, Mentha_aquatica\": 20684,\n",
            "    \"water-shield, Brasenia_schreberi, water-target\": 17632,\n",
            "    \"water-shield, fanwort, Cabomba_caroliniana\": 17631,\n",
            "    \"water-skiing\": 47,\n",
            "    \"water-soluble_vitamin\": 21821,\n",
            "    \"water_bed\": 11742,\n",
            "    \"water_beetle\": 2575,\n",
            "    \"water_biscuit\": 12766,\n",
            "    \"water_boatman, boat_bug\": 2769,\n",
            "    \"water_bottle\": 11743,\n",
            "    \"water_buffalo, water_ox, Asiatic_buffalo, Bubalus_bubalis\": 3366,\n",
            "    \"water_bug\": 2766,\n",
            "    \"water_butt\": 11744,\n",
            "    \"water_cart\": 11745,\n",
            "    \"water_chestnut, Chinese_water_chestnut, Eleocharis_dulcis\": 18813,\n",
            "    \"water_chevrotain, water_deer, Hyemoschus_aquaticus\": 3491,\n",
            "    \"water_chinquapin, American_lotus, yanquapin, Nelumbo_lutea\": 17630,\n",
            "    \"water_chute\": 11746,\n",
            "    \"water_closet, closet, W.C., loo\": 11747,\n",
            "    \"water_clover, Marsilea_quadrifolia\": 20968,\n",
            "    \"water_cooler\": 11750,\n",
            "    \"water_crowfoot, water_buttercup, Ranunculus_aquatilis\": 17636,\n",
            "    \"water_dog\": 2260,\n",
            "    \"water_elm, Ulmus_laevis\": 19500,\n",
            "    \"water_faucet, water_tap, tap, hydrant\": 11751,\n",
            "    \"water_fennel, Oenanthe_aquatica\": 20922,\n",
            "    \"water_filter\": 11752,\n",
            "    \"water_gauge, water_gage, water_glass\": 11753,\n",
            "    \"water_gillyflower, American_featherfoil, Hottonia_inflata\": 18645,\n",
            "    \"water_glass\": 11754,\n",
            "    \"water_gum, Nyssa_aquatica\": 19338,\n",
            "    \"water_hazard\": 11755,\n",
            "    \"water_heater, hot-water_heater, hot-water_tank\": 11756,\n",
            "    \"water_hemlock, Cicuta_verosa\": 20906,\n",
            "    \"water_hickory, bitter_pecan, water_bitternut, Carya_aquatica\": 19268,\n",
            "    \"water_horehound, Lycopus_americanus\": 20675,\n",
            "    \"water_hyacinth, water_orchid, Eichhornia_crassipes, Eichhornia_spesiosa\": 20001,\n",
            "    \"water_ice, sorbet\": 12565,\n",
            "    \"water_jacket\": 11759,\n",
            "    \"water_jug\": 11760,\n",
            "    \"water_jump\": 11761,\n",
            "    \"water_level\": 11762,\n",
            "    \"water_lobelia, Lobelia_dortmanna\": 18861,\n",
            "    \"water_locust, swamp_locust, Gleditsia_aquatica\": 19719,\n",
            "    \"water_meter\": 11763,\n",
            "    \"water_milfoil\": 19286,\n",
            "    \"water_mill\": 11764,\n",
            "    \"water_moccasin\": 1180,\n",
            "    \"water_moccasin, cottonmouth, cottonmouth_moccasin, Agkistrodon_piscivorus\": 1239,\n",
            "    \"water_mold\": 21008,\n",
            "    \"water_nymph, fragrant_water_lily, pond_lily, Nymphaea_odorata\": 17626,\n",
            "    \"water_oak, possum_oak, Quercus_nigra\": 19135,\n",
            "    \"water_ouzel, dipper\": 801,\n",
            "    \"water_parsnip, Sium_suave\": 20933,\n",
            "    \"water_pimpernel\": 18654,\n",
            "    \"water_plantain, Alisma_plantago-aquatica\": 20004,\n",
            "    \"water_polo\": 112,\n",
            "    \"water_pump\": 11767,\n",
            "    \"water_rat\": 3063,\n",
            "    \"water_scooter, sea_scooter, scooter\": 11768,\n",
            "    \"water_scorpion\": 2768,\n",
            "    \"water_shamrock, buckbean, bogbean, bog_myrtle, marsh_trefoil, Menyanthes_trifoliata\": 19696,\n",
            "    \"water_shrew\": 1647,\n",
            "    \"water_ski\": 11769,\n",
            "    \"water_snake\": 1178,\n",
            "    \"water_spaniel\": 2283,\n",
            "    \"water_speedwell, Veronica_michauxii, Veronica_anagallis-aquatica\": 20793,\n",
            "    \"water_sport, aquatics\": 29,\n",
            "    \"water_star_grass, mud_plantain, Heteranthera_dubia\": 20002,\n",
            "    \"water_starwort\": 20247,\n",
            "    \"water_strider, pond-skater, water_skater\": 2770,\n",
            "    \"water_table, water_level, groundwater_level\": 14449,\n",
            "    \"water_thrush\": 687,\n",
            "    \"water_tower\": 11771,\n",
            "    \"water_turkey, Anhinga_anhinga\": 2076,\n",
            "    \"water_violet, Hottonia_palustris\": 18646,\n",
            "    \"water_vole, Richardson_vole, Microtus_richardsoni\": 3086,\n",
            "    \"water_vole, water_rat, Arvicola_amphibius\": 3088,\n",
            "    \"water_wagon, water_waggon\": 11772,\n",
            "    \"water_wings\": 11775,\n",
            "    \"waterbuck\": 3456,\n",
            "    \"watercolor, water-color, watercolour, water-colour\": 11748,\n",
            "    \"watercourse\": 14447,\n",
            "    \"watercress\": 18005,\n",
            "    \"waterdog\": 911,\n",
            "    \"waterfowl, water_bird, waterbird\": 1509,\n",
            "    \"waterfront\": 14177,\n",
            "    \"watering_can, watering_pot\": 11757,\n",
            "    \"watering_cart\": 11758,\n",
            "    \"waterleaf\": 20624,\n",
            "    \"waterline, water_line, water_level\": 14207,\n",
            "    \"watermeal\": 17824,\n",
            "    \"watermelon\": 13107,\n",
            "    \"watermelon_begonia, Peperomia_argyreia, Peperomia_sandersii\": 21426,\n",
            "    \"waterproof\": 11765,\n",
            "    \"waterproofing\": 11766,\n",
            "    \"waterside\": 14448,\n",
            "    \"waterspout\": 11770,\n",
            "    \"waterweed\": 20008,\n",
            "    \"waterwheel, water_wheel\": 11774,\n",
            "    \"waterwheel_plant, Aldrovanda_vesiculosa\": 20501,\n",
            "    \"waterworks\": 11776,\n",
            "    \"wattle\": 17729,\n",
            "    \"wattle_and_daub\": 21814,\n",
            "    \"wattmeter\": 11777,\n",
            "    \"wave\": 17301,\n",
            "    \"wave, undulation\": 21659,\n",
            "    \"waverer, vacillator, hesitator, hesitater\": 16835,\n",
            "    \"wavy-leaved_aster\": 18199,\n",
            "    \"wax_bean\": 19864,\n",
            "    \"wax_bean, yellow_bean\": 12929,\n",
            "    \"wax_begonia, Begonia_semperflorens\": 19386,\n",
            "    \"wax_myrtle\": 17699,\n",
            "    \"wax_palm, Ceroxylon_andicola, Ceroxylon_alpinum\": 19944,\n",
            "    \"wax_plant, Hoya_carnosa\": 21623,\n",
            "    \"waxflower, Clusia_insignis\": 19398,\n",
            "    \"waxmallow, wax_mallow, sleeping_hibiscus\": 18898,\n",
            "    \"waxwing\": 808,\n",
            "    \"waxwork, wax_figure\": 11778,\n",
            "    \"waxycap\": 21244,\n",
            "    \"wayfaring_tree, twist_wood, twistwood, Viburnum_lantana\": 20210,\n",
            "    \"ways, shipway, slipway\": 11779,\n",
            "    \"weakfish, Cynoscion_regalis\": 3950,\n",
            "    \"weald\": 14184,\n",
            "    \"weapon, arm, weapon_system\": 11780,\n",
            "    \"weaponry, arms, implements_of_war, weapons_system, munition\": 11781,\n",
            "    \"weapons_carrier\": 11782,\n",
            "    \"weasel\": 3503,\n",
            "    \"weather_satellite, meteorological_satellite\": 11785,\n",
            "    \"weather_ship\": 11786,\n",
            "    \"weathercock\": 11783,\n",
            "    \"weatherglass\": 11784,\n",
            "    \"weatherman, weather_forecaster\": 17228,\n",
            "    \"weathervane, weather_vane, vane, wind_vane\": 11787,\n",
            "    \"weaver, weaverbird, weaver_finch\": 595,\n",
            "    \"web\": 11789,\n",
            "    \"web, entanglement\": 11788,\n",
            "    \"web-spinning_mite\": 1290,\n",
            "    \"web-toed_salamander\": 926,\n",
            "    \"web_site, website, internet_site, site\": 12214,\n",
            "    \"web_spinner\": 2596,\n",
            "    \"webbing\": 11790,\n",
            "    \"webbing_clothes_moth, webbing_moth, Tineola_bisselliella\": 2925,\n",
            "    \"webcam\": 11791,\n",
            "    \"webworm\": 2979,\n",
            "    \"webworm_moth\": 2980,\n",
            "    \"wedding, wedding_party\": 14111,\n",
            "    \"wedge\": 11793,\n",
            "    \"wedge, wedge_shape, cuneus\": 21760,\n",
            "    \"wedgie\": 11794,\n",
            "    \"weed\": 21283,\n",
            "    \"weeder\": 17230,\n",
            "    \"weeder, weed-whacker\": 11796,\n",
            "    \"weeds, widow's_weeds\": 11797,\n",
            "    \"weekend_warrior\": 17229,\n",
            "    \"weekender\": 11798,\n",
            "    \"weeping_beech, Fagus_pendula, Fagus_sylvatica_pendula\": 19079,\n",
            "    \"weeping_love_grass, African_love_grass, Eragrostis_curvula\": 18720,\n",
            "    \"weeping_spruce, Brewer's_spruce, Picea_breweriana\": 17417,\n",
            "    \"weeping_tree_broom\": 19761,\n",
            "    \"weeping_willow, Babylonian_weeping_willow, Salix_babylonica\": 20333,\n",
            "    \"weevil\": 2578,\n",
            "    \"weigela, Weigela_florida\": 20214,\n",
            "    \"weighbridge\": 11799,\n",
            "    \"weight, free_weight, exercising_weight\": 11800,\n",
            "    \"weir\": 11802,\n",
            "    \"weka, maori_hen, wood_hen\": 1939,\n",
            "    \"welcome_wagon\": 11803,\n",
            "    \"weld\": 11804,\n",
            "    \"welder\": 17231,\n",
            "    \"welder's_mask\": 11805,\n",
            "    \"weldment\": 11806,\n",
            "    \"welfare_case, charity_case\": 17232,\n",
            "    \"well\": 11807,\n",
            "    \"wellhead\": 11808,\n",
            "    \"welt\": 11809,\n",
            "    \"welted_thistle, Carduus_crispus\": 18220,\n",
            "    \"welwitschia, Welwitschia_mirabilis\": 17338,\n",
            "    \"western, western_sandwich\": 12786,\n",
            "    \"western_big-eared_bat, Plecotus_townsendi\": 2504,\n",
            "    \"western_blind_snake, Leptotyphlops_humilis\": 1192,\n",
            "    \"western_buttercup, Ranunculus_occidentalis\": 17640,\n",
            "    \"western_chimpanzee, Pan_troglodytes_verus\": 3607,\n",
            "    \"western_chokecherry, Prunus_virginiana_demissa, Prunus_demissa\": 20125,\n",
            "    \"western_coral_snake, Micruroides_euryxanthus\": 1210,\n",
            "    \"western_fence_lizard, swift, blue-belly, Sceloporus_occidentalis\": 1040,\n",
            "    \"western_grey_squirrel, western_gray_squirrel, Sciurus_griseus\": 3137,\n",
            "    \"western_hemlock, Pacific_hemlock, west_coast_hemlock, Tsuga_heterophylla\": 17430,\n",
            "    \"western_holly_fern, Polystichum_scopulinum\": 21536,\n",
            "    \"western_ladies'_tresses, Spiranthes_porrifolia\": 18614,\n",
            "    \"western_larch, western_tamarack, Oregon_larch, Larix_occidentalis\": 17396,\n",
            "    \"western_lowland_gorilla, Gorilla_gorilla_gorilla\": 3602,\n",
            "    \"western_meadowlark, Sturnella_neglecta\": 698,\n",
            "    \"western_mugwort, white_sage, cudweed, prairie_sage, Artemisia_ludoviciana, Artemisia_gnaphalodes\": 18157,\n",
            "    \"western_narrow-mouthed_toad, Gastrophryne_olivacea\": 978,\n",
            "    \"western_omelet\": 13491,\n",
            "    \"western_poison_oak, Toxicodendron_diversilobum, Rhus_diversiloba\": 20458,\n",
            "    \"western_poppy, Papaver_californicum\": 18087,\n",
            "    \"western_ragweed, perennial_ragweed, Ambrosia_psilostachya\": 18126,\n",
            "    \"western_red-backed_salamander, Plethodon_vehiculum\": 921,\n",
            "    \"western_red_cedar, red_cedar, canoe_cedar, Thuja_plicata\": 17458,\n",
            "    \"western_redbud, California_redbud, Cercis_occidentalis\": 19759,\n",
            "    \"western_saxifrage, Saxifraga_occidentalis\": 20522,\n",
            "    \"western_skink, Eumeces_skiltonianus\": 1052,\n",
            "    \"western_spadefoot, Scaphiopus_hammondii\": 965,\n",
            "    \"western_tanager, Piranga_ludoviciana\": 786,\n",
            "    \"western_toad, Bufo_boreas\": 960,\n",
            "    \"western_wall_flower, Erysimum_asperum, Cheiranthus_asperus, Erysimum_arkansanum\": 18054,\n",
            "    \"western_wheatgrass, bluestem_wheatgrass, Agropyron_smithii\": 18675,\n",
            "    \"western_whiptail, Cnemidophorus_tigris\": 1059,\n",
            "    \"western_white_pine, silver_pine, mountain_pine, Pinus_monticola\": 17370,\n",
            "    \"western_wood_pewee, Contopus_sordidulus\": 614,\n",
            "    \"westerner\": 17233,\n",
            "    \"westland_pine, silver_pine, Lagarostrobus_colensoi\": 17498,\n",
            "    \"wet-bulb_thermometer\": 11812,\n",
            "    \"wet_bar\": 11811,\n",
            "    \"wet_cell\": 11813,\n",
            "    \"wet_fly\": 11814,\n",
            "    \"wet_suit\": 11815,\n",
            "    \"wether\": 3382,\n",
            "    \"wetter\": 17235,\n",
            "    \"whale\": 2102,\n",
            "    \"whale_louse\": 1883,\n",
            "    \"whale_shark, Rhincodon_typus\": 466,\n",
            "    \"whale_sucker, whalesucker, Remilegia_australis\": 3871,\n",
            "    \"whaleboat\": 11816,\n",
            "    \"whaler\": 17236,\n",
            "    \"whaler, whaling_ship\": 11817,\n",
            "    \"whaling_gun\": 11818,\n",
            "    \"wharf_rat\": 3057,\n",
            "    \"wheat\": 18784,\n",
            "    \"wheat, wheat_berry\": 13241,\n",
            "    \"wheat_berry\": 18785,\n",
            "    \"wheat_flag_smut, Urocystis_tritici\": 21242,\n",
            "    \"wheat_flour\": 12308,\n",
            "    \"wheat_germ\": 13244,\n",
            "    \"wheat_rust, Puccinia_graminis\": 21229,\n",
            "    \"wheatear\": 654,\n",
            "    \"wheatgrass, wheat-grass\": 18672,\n",
            "    \"wheel\": 11820,\n",
            "    \"wheel_and_axle\": 11821,\n",
            "    \"wheel_bug, Arilus_cristatus\": 2774,\n",
            "    \"wheel_tree, firewheel_tree, Stenocarpus_sinuatus\": 18977,\n",
            "    \"wheelchair\": 11822,\n",
            "    \"wheeled_vehicle\": 11823,\n",
            "    \"wheelwork\": 11824,\n",
            "    \"whelk\": 1770,\n",
            "    \"wherry\": 11825,\n",
            "    \"wherry, Norfolk_wherry\": 11826,\n",
            "    \"whetstone\": 11827,\n",
            "    \"whey\": 13534,\n",
            "    \"whiff\": 4124,\n",
            "    \"whiffletree, whippletree, swingletree\": 11828,\n",
            "    \"whinchat, Saxicola_rubetra\": 651,\n",
            "    \"whiner, complainer, moaner, sniveller, crybaby, bellyacher, grumbler, squawker\": 17238,\n",
            "    \"whinstone, whin\": 14450,\n",
            "    \"whip\": 12554,\n",
            "    \"whip-scorpion, whip_scorpion\": 1263,\n",
            "    \"whip-snake, whip_snake, whipsnake\": 1155,\n",
            "    \"whipcord\": 11830,\n",
            "    \"whipper-in\": 17239,\n",
            "    \"whippet\": 2212,\n",
            "    \"whipping_cream, light_whipping_cream\": 13525,\n",
            "    \"whipping_post\": 11831,\n",
            "    \"whippoorwill, Caprimulgus_vociferus\": 1480,\n",
            "    \"whipstitch, whipping, whipstitching\": 11832,\n",
            "    \"whiptail, whiptail_lizard\": 1055,\n",
            "    \"whirler\": 11833,\n",
            "    \"whirligig_beetle\": 2576,\n",
            "    \"whisk\": 11835,\n",
            "    \"whisk, whisk_broom\": 11834,\n",
            "    \"whiskey, whisky\": 13896,\n",
            "    \"whiskey_bottle\": 11836,\n",
            "    \"whiskey_jug\": 11837,\n",
            "    \"whiskey_sour, whisky_sour\": 13971,\n",
            "    \"whisperer\": 17240,\n",
            "    \"whispering_gallery, whispering_dome\": 11838,\n",
            "    \"whistle\": 11840,\n",
            "    \"whistling_swan, Cygnus_columbianus_columbianus\": 1574,\n",
            "    \"white\": 11841,\n",
            "    \"white-bellied_swallow, tree_swallow, Iridoprocne_bicolor\": 778,\n",
            "    \"white-berry_yew, Pseudotaxus_chienii\": 17515,\n",
            "    \"white-breasted_nuthatch, Sitta_carolinensis\": 763,\n",
            "    \"white-chinned_petrel, Procellaria_aequinoctialis\": 2091,\n",
            "    \"white-crowned_sparrow, Zonotrichia_leucophrys\": 568,\n",
            "    \"white-footed_mouse, vesper_mouse, Peromyscus_leucopus\": 3068,\n",
            "    \"white-headed_stilt, Himantopus_himantopus_leucocephalus\": 2012,\n",
            "    \"white-leaved_rockrose, Cistus_albidus\": 19420,\n",
            "    \"white-lipped_peccary, Tayassu_pecari\": 3323,\n",
            "    \"white-rayed_mule's_ears, Wyethia_helianthoides\": 18475,\n",
            "    \"white-rumped_shrike, Lanius_ludovicianus_excubitorides\": 793,\n",
            "    \"white-tailed_jackrabbit, whitetail_jackrabbit, Lepus_townsendi\": 3037,\n",
            "    \"white-tailed_kite, Elanus_leucurus\": 829,\n",
            "    \"white-throated_sparrow, whitethroat, Zonotrichia_albicollis\": 567,\n",
            "    \"white-topped_aster\": 18417,\n",
            "    \"white_admiral, Limenitis_camilla\": 2869,\n",
            "    \"white_alder, mountain_alder, Alnus_rhombifolia\": 19169,\n",
            "    \"white_ash, Fraxinus_Americana\": 19223,\n",
            "    \"white_basswood, cottonwood, Tilia_heterophylla\": 18948,\n",
            "    \"white_bread, light_bread\": 12711,\n",
            "    \"white_broom, white_Spanish_broom, Cytisus_albus, Cytisus_multiflorus\": 19776,\n",
            "    \"white_bryony, devil's_turnip, Bryonia_alba\": 18846,\n",
            "    \"white_camas, Zigadenus_glaucus\": 19658,\n",
            "    \"white_campion, evening_lychnis, white_cockle, bladder_campion, Silene_latifolia, Lychnis_alba\": 17880,\n",
            "    \"white_clover, dutch_clover, shamrock, Trifolium_repens\": 17725,\n",
            "    \"white_crappie, Pomoxis_annularis\": 3835,\n",
            "    \"white_croaker, chenfish, kingfish, Genyonemus_lineatus\": 3947,\n",
            "    \"white_croaker, queenfish, Seriphus_politus\": 3948,\n",
            "    \"white_currant, Ribes_sativum\": 20551,\n",
            "    \"white_dead_nettle, Lamium_album\": 20665,\n",
            "    \"white_dipladenia, Mandevilla_boliviensis, Dipladenia_boliviensis\": 17772,\n",
            "    \"white_dogtooth_violet, white_dog's-tooth_violet, blonde_lilian, Erythronium_albidum\": 19612,\n",
            "    \"white_false_indigo, Baptisia_lactea\": 19747,\n",
            "    \"white_fir, Colorado_fir, California_white_fir, Abies_concolor, Abies_lowiana\": 17405,\n",
            "    \"white_fringed_orchis, white_fringed_orchid, Habenaria_albiflora\": 18560,\n",
            "    \"white_fritillary, Fritillaria_liliaceae\": 19623,\n",
            "    \"white_fungus, Saprolegnia_ferax\": 21007,\n",
            "    \"white_globe_lily, white_fairy_lantern, Calochortus_albus\": 19599,\n",
            "    \"white_goods\": 11842,\n",
            "    \"white_hellebore, American_hellebore, Indian_poke, bugbane, Veratrum_viride\": 19654,\n",
            "    \"white_hope, great_white_hope\": 17244,\n",
            "    \"white_lettuce, cankerweed, Nabalus_alba, Prenanthes_alba\": 18378,\n",
            "    \"white_lupine, field_lupine, wolf_bean, Egyptian_lupine, Lupinus_albus\": 19836,\n",
            "    \"white_maire, Olea_lanceolata\": 19217,\n",
            "    \"white_mallee, congoo_mallee, Eucalyptus_dumosa\": 19322,\n",
            "    \"white_man\": 14514,\n",
            "    \"white_mangrove, Avicennia_officinalis\": 20851,\n",
            "    \"white_mangrove, Laguncularia_racemosa\": 19284,\n",
            "    \"white_marlin, Makaira_albida\": 4045,\n",
            "    \"white_milkweed, Asclepias_albicans\": 21613,\n",
            "    \"white_mountain_ash, Eucalyptus_fraxinoides\": 19324,\n",
            "    \"white_mulberry, Morus_alba\": 19473,\n",
            "    \"white_mullein, Verbascum_lychnitis\": 20784,\n",
            "    \"white_mullet, Mugil_curema\": 3958,\n",
            "    \"white_oak\": 19107,\n",
            "    \"white_pelican, Pelecanus_erythrorhynchos\": 2068,\n",
            "    \"white_pepper\": 13309,\n",
            "    \"white_perch, silver_perch, Morone_americana\": 3848,\n",
            "    \"white_pine\": 17368,\n",
            "    \"white_poplar, white_aspen, abele, aspen_poplar, silver-leaved_poplar, Populus_alba\": 20358,\n",
            "    \"white_prairie_aster, Aster_falcatus\": 18169,\n",
            "    \"white_rhinoceros, Ceratotherium_simum, Diceros_simus\": 3304,\n",
            "    \"white_rice, polished_rice\": 13248,\n",
            "    \"white_rust\": 21013,\n",
            "    \"white_sauce, bechamel_sauce, bechamel\": 13448,\n",
            "    \"white_snakeroot, white_sanicle, Ageratina_altissima, Eupatorium_rugosum\": 18119,\n",
            "    \"white_snapdragon, Antirrhinum_coulterianum\": 20747,\n",
            "    \"white_spruce, Picea_glauca\": 17419,\n",
            "    \"white_stork, Ciconia_ciconia\": 1897,\n",
            "    \"white_stringybark, thin-leaved_stringybark, Eucalyptusd_eugenioides\": 19323,\n",
            "    \"white_supremacist\": 17245,\n",
            "    \"white_turnip\": 12980,\n",
            "    \"white_whale, beluga, Delphinapterus_leucas\": 2132,\n",
            "    \"white_willow, Huntingdon_willow, Salix_alba\": 20328,\n",
            "    \"white_wine\": 13805,\n",
            "    \"white_wolf, Arctic_wolf, Canis_lupus_tundrarum\": 2358,\n",
            "    \"white_wood_aster, Aster_divaricatus\": 18166,\n",
            "    \"white_yam, water_yam, Dioscorea_alata\": 18625,\n",
            "    \"white_zinnia, Zinnia_acerosa\": 18480,\n",
            "    \"whitebait\": 3742,\n",
            "    \"whitebark_pine, whitebarked_pine, Pinus_albicaulis\": 17373,\n",
            "    \"whitecup, Nierembergia_repens, Nierembergia_rivularis\": 20832,\n",
            "    \"whiteface\": 17241,\n",
            "    \"whitefish\": 3778,\n",
            "    \"whitefly\": 2778,\n",
            "    \"whitetail_prairie_dog, Cynomys_gunnisoni\": 3152,\n",
            "    \"whitetip_shark, oceanic_whitetip_shark, white-tipped_shark, Carcharinus_longimanus\": 471,\n",
            "    \"whitetip_shark, reef_whitetip_shark, Triaenodon_obseus\": 482,\n",
            "    \"whitewash\": 11843,\n",
            "    \"whiting\": 4060,\n",
            "    \"whiting, Merlangus_merlangus, Gadus_merlangus\": 3724,\n",
            "    \"whole_milk\": 13515,\n",
            "    \"whole_snipe, Gallinago_gallinago\": 1997,\n",
            "    \"whole_wheat_flour, graham_flour, graham, whole_meal_flour\": 12309,\n",
            "    \"whooper, whooper_swan, Cygnus_cygnus\": 1572,\n",
            "    \"whooping_crane, whooper, Grus_americana\": 1933,\n",
            "    \"whorehouse, brothel, bordello, bagnio, house_of_prostitution, house_of_ill_repute, bawdyhouse, cathouse, sporting_house\": 11844,\n",
            "    \"whoremaster, whoremonger\": 17246,\n",
            "    \"whoremaster, whoremonger, john, trick\": 17247,\n",
            "    \"whorled_aster, Aster_acuminatus\": 18163,\n",
            "    \"whorled_caraway\": 20905,\n",
            "    \"whorled_loosestrife, Lysimachia_quadrifolia\": 18653,\n",
            "    \"whorled_milkweed, Asclepias_verticillata\": 21621,\n",
            "    \"whydah, whidah, widow_bird\": 597,\n",
            "    \"wick, taper\": 11845,\n",
            "    \"wicker, wickerwork, caning\": 11846,\n",
            "    \"wicker_basket\": 11847,\n",
            "    \"wicket\": 11849,\n",
            "    \"wicket, hoop\": 11848,\n",
            "    \"wickiup, wikiup\": 11850,\n",
            "    \"wide-angle_lens, fisheye_lens\": 11851,\n",
            "    \"wide_wale\": 11853,\n",
            "    \"widebody_aircraft, wide-body_aircraft, wide-body, twin-aisle_airplane\": 11852,\n",
            "    \"widgeon, wigeon, Anas_penelope\": 1523,\n",
            "    \"widow's_walk\": 11854,\n",
            "    \"widow, widow_woman\": 17248,\n",
            "    \"wife, married_woman\": 17249,\n",
            "    \"wig\": 11856,\n",
            "    \"wiggler, wriggler\": 2639,\n",
            "    \"wiggler, wriggler, squirmer\": 17250,\n",
            "    \"wigwam\": 11857,\n",
            "    \"wild_China_tree, Sapindus_drumondii, Sapindus_marginatus\": 20380,\n",
            "    \"wild_angelica, Angelica_sylvestris\": 20898,\n",
            "    \"wild_apple, crab_apple, crabapple\": 20055,\n",
            "    \"wild_ass\": 3291,\n",
            "    \"wild_basil, cushion_calamint, Clinopodium_vulgare, Satureja_vulgaris\": 20652,\n",
            "    \"wild_boar, boar, Sus_scrofa\": 3318,\n",
            "    \"wild_buckwheat, California_buckwheat, Erigonum_fasciculatum\": 19987,\n",
            "    \"wild_cabbage, Brassica_oleracea\": 18020,\n",
            "    \"wild_calla, water_arum, Calla_palustris\": 17798,\n",
            "    \"wild_carrot, Queen_Anne's_lace, Daucus_carota\": 20911,\n",
            "    \"wild_celery, Apium_graveolens\": 20901,\n",
            "    \"wild_cherry\": 20086,\n",
            "    \"wild_cherry, wild_cherry_tree\": 20085,\n",
            "    \"wild_cinnamon, white_cinnamon_tree, Canella_winterana, Canella-alba\": 19416,\n",
            "    \"wild_cotton, Arizona_wild_cotton, Gossypium_thurberi\": 18882,\n",
            "    \"wild_crab, Malus_sylvestris\": 20058,\n",
            "    \"wild_dog\": 2363,\n",
            "    \"wild_duck\": 1539,\n",
            "    \"wild_fig, Clusia_flava\": 19397,\n",
            "    \"wild_garlic, wood_garlic, Ramsons, Allium_ursinum\": 19577,\n",
            "    \"wild_geranium, spotted_cranesbill, Geranium_maculatum\": 20225,\n",
            "    \"wild_goat\": 3416,\n",
            "    \"wild_hollyhock, Iliamna_remota, Sphaeralcea_remota\": 18891,\n",
            "    \"wild_horse\": 3236,\n",
            "    \"wild_hyacinth, indigo_squill, Camassia_scilloides\": 19610,\n",
            "    \"wild_indigo, false_indigo\": 19745,\n",
            "    \"wild_leek, Levant_garlic, kurrat, Allium_ampeloprasum\": 19563,\n",
            "    \"wild_licorice, Galium_lanceolatum\": 20175,\n",
            "    \"wild_licorice, wild_liquorice, American_licorice, American_liquorice, Glycyrrhiza_lepidota\": 19807,\n",
            "    \"wild_lily_of_the_valley, Pyrola_rotundifolia\": 19069,\n",
            "    \"wild_lily_of_the_valley, shinleaf, Pyrola_elliptica\": 19068,\n",
            "    \"wild_lupine, sundial_lupine, Indian_beet, old-maid's_bonnet, Lupinus_perennis\": 19838,\n",
            "    \"wild_madder, white_madder, white_bedstraw, infant's-breath, false_baby's_breath, Galium_mollugo\": 20177,\n",
            "    \"wild_mango, dika, wild_mango_tree, Irvingia_gabonensis\": 20313,\n",
            "    \"wild_medlar, wild_medlar_tree, medlar, Vangueria_infausta\": 20185,\n",
            "    \"wild_oat, wild_oat_grass, Avena_fatua\": 18688,\n",
            "    \"wild_parsley\": 20893,\n",
            "    \"wild_parsnip, madnep\": 20925,\n",
            "    \"wild_pea\": 19817,\n",
            "    \"wild_peach, Kiggelaria_africana\": 19429,\n",
            "    \"wild_pink, Silene_caroliniana\": 17878,\n",
            "    \"wild_plum, wild_plum_tree\": 20069,\n",
            "    \"wild_potato_vine, wild_sweet_potato_vine, man-of-the-earth, manroot, scammonyroot, Ipomoea_panurata, Ipomoea_fastigiata\": 20605,\n",
            "    \"wild_raspberry, European_raspberry, framboise, Rubus_idaeus\": 20141,\n",
            "    \"wild_red_oat, animated_oat, Avene_sterilis\": 18690,\n",
            "    \"wild_rice, Indian_rice\": 13249,\n",
            "    \"wild_rosemary, marsh_tea, Ledum_palustre\": 19016,\n",
            "    \"wild_rye\": 18715,\n",
            "    \"wild_sage, wild_clary, vervain_sage, Salvia_verbenaca\": 20720,\n",
            "    \"wild_senna, Senna_marilandica, Cassia_marilandica\": 19729,\n",
            "    \"wild_service_tree, Sorbus_torminalis\": 20153,\n",
            "    \"wild_sheep\": 3400,\n",
            "    \"wild_spinach\": 12965,\n",
            "    \"wild_spurge, flowering_spurge, tramp's_spurge, Euphorbia_corollata\": 20858,\n",
            "    \"wild_tamarind, Lysiloma_latisiliqua, Lysiloma_bahamensis\": 17749,\n",
            "    \"wild_teasel, Dipsacus_sylvestris\": 20218,\n",
            "    \"wild_thyme, creeping_thyme, Thymus_serpyllum\": 20734,\n",
            "    \"wild_tobacco, Indian_tobacco, Nicotiana_rustica\": 20830,\n",
            "    \"wild_wheat, wild_emmer, Triticum_dicoccum_dicoccoides\": 18789,\n",
            "    \"wild_yam, Dioscorea_paniculata\": 18628,\n",
            "    \"wildcat\": 2409,\n",
            "    \"wildflower, wild_flower\": 17523,\n",
            "    \"wilding\": 17303,\n",
            "    \"willet, Catoptrophorus_semipalmatus\": 1992,\n",
            "    \"willow, willow_tree\": 20326,\n",
            "    \"willow_aster\": 18201,\n",
            "    \"willow_oak, Quercus_phellos\": 19140,\n",
            "    \"willowherb\": 19342,\n",
            "    \"wimp, chicken, crybaby\": 17251,\n",
            "    \"wimple\": 11859,\n",
            "    \"wincey\": 11860,\n",
            "    \"winceyette\": 11861,\n",
            "    \"winch, windlass\": 11862,\n",
            "    \"wind_instrument, wind\": 11866,\n",
            "    \"wind_poppy, flaming_poppy, Stylomecon_heterophyllum, Papaver_heterophyllum\": 18107,\n",
            "    \"wind_tee\": 11885,\n",
            "    \"wind_tunnel\": 11886,\n",
            "    \"wind_turbine\": 11887,\n",
            "    \"windbreak, shelterbelt\": 11864,\n",
            "    \"winder, key\": 11865,\n",
            "    \"windfall\": 12993,\n",
            "    \"windjammer\": 11867,\n",
            "    \"windmill\": 11869,\n",
            "    \"windmill, aerogenerator, wind_generator\": 11868,\n",
            "    \"window\": 11871,\n",
            "    \"window_blind\": 11872,\n",
            "    \"window_box\": 11873,\n",
            "    \"window_dresser, window_trimmer\": 17256,\n",
            "    \"window_envelope\": 11874,\n",
            "    \"window_frame\": 11875,\n",
            "    \"window_oyster, windowpane_oyster, capiz, Placuna_placenta\": 1805,\n",
            "    \"window_screen\": 11876,\n",
            "    \"window_seat\": 11877,\n",
            "    \"window_shade\": 11878,\n",
            "    \"windowpane, Scophthalmus_aquosus\": 4127,\n",
            "    \"windowsill\": 11879,\n",
            "    \"windshield, windscreen\": 11880,\n",
            "    \"windshield_wiper, windscreen_wiper, wiper, wiper_blade\": 11881,\n",
            "    \"wine, vino\": 13802,\n",
            "    \"wine-maker's_yeast, Saccharomyces_ellipsoides\": 21130,\n",
            "    \"wine_bar\": 11888,\n",
            "    \"wine_bottle\": 11889,\n",
            "    \"wine_bucket, wine_cooler\": 11890,\n",
            "    \"wine_cask, wine_barrel\": 11891,\n",
            "    \"wine_lover\": 16302,\n",
            "    \"wine_palm, jaggery_palm, kitul, kittul, kitul_tree, toddy_palm, Caryota_urens\": 19943,\n",
            "    \"wine_sauce\": 13409,\n",
            "    \"wine_vinegar\": 13399,\n",
            "    \"wineberry, Rubus_phoenicolasius\": 20146,\n",
            "    \"wineglass\": 11892,\n",
            "    \"winepress\": 11893,\n",
            "    \"winery, wine_maker\": 11894,\n",
            "    \"wineskin\": 11895,\n",
            "    \"wing\": 11896,\n",
            "    \"wing_chair\": 11897,\n",
            "    \"wing_commander\": 17252,\n",
            "    \"wing_nut, wing-nut\": 19276,\n",
            "    \"wing_nut, wing-nut, wing_screw, butterfly_nut, thumbnut\": 11898,\n",
            "    \"wing_tip\": 11900,\n",
            "    \"winged_bean, winged_pea, goa_bean, goa_bean_vine, Manila_bean, Psophocarpus_tetragonolobus\": 19882,\n",
            "    \"winged_elm, wing_elm, Ulmus_alata\": 19493,\n",
            "    \"winged_everlasting, Ammobium_alatum\": 18128,\n",
            "    \"winged_pea, asparagus_pea, Lotus_tetragonolobus\": 19834,\n",
            "    \"winged_pigweed, tumbleweed, Cycloloma_atriplicifolium\": 17922,\n",
            "    \"winged_spindle_tree, Euonymous_alatus\": 20398,\n",
            "    \"winger\": 17253,\n",
            "    \"wingstem, golden_ironweed, yellow_ironweed, golden_honey_plant, Verbesina_alternifolia, Actinomeris_alternifolia\": 18469,\n",
            "    \"winker\": 17257,\n",
            "    \"winker, blinker, blinder\": 11901,\n",
            "    \"winner\": 17254,\n",
            "    \"winner, victor\": 17255,\n",
            "    \"winter's_bark, winter's_bark_tree, Drimys_winteri\": 17696,\n",
            "    \"winter_aconite, Eranthis_hyemalis\": 17681,\n",
            "    \"winter_cress\": 12960,\n",
            "    \"winter_cress, St._Barbara's_herb, scurvy_grass\": 18016,\n",
            "    \"winter_crookneck, winter_crookneck_squash, Cucurbita_moschata\": 18841,\n",
            "    \"winter_crookneck_squash\": 12855,\n",
            "    \"winter_flounder, blackback_flounder, lemon_sole, Pseudopleuronectes_americanus\": 4115,\n",
            "    \"winter_hazel, flowering_hazel\": 19257,\n",
            "    \"winter_heath, spring_heath, Erica_carnea\": 18988,\n",
            "    \"winter_heliotrope, sweet_coltsfoot, Petasites_fragrans\": 18389,\n",
            "    \"winter_jasmine, Jasminum_nudiflorum\": 19238,\n",
            "    \"winter_melon\": 13102,\n",
            "    \"winter_melon, Persian_melon, honeydew_melon, winter_melon_vine, Cucumis_melo_inodorus\": 18849,\n",
            "    \"winter_mushroom, Flammulina_velutipes\": 21121,\n",
            "    \"winter_purslane, miner's_lettuce, Cuban_spinach, Montia_perfoliata\": 17991,\n",
            "    \"winter_savory, Satureja_montana, Satureia_montana\": 20723,\n",
            "    \"winter_savory, winter_savoury\": 13345,\n",
            "    \"winter_squash\": 12848,\n",
            "    \"winter_squash, winter_squash_plant\": 18835,\n",
            "    \"winter_wren, Troglodytes_troglodytes\": 741,\n",
            "    \"wintergreen, boxberry, checkerberry, teaberry, spiceberry\": 13025,\n",
            "    \"wintergreen, pyrola\": 19065,\n",
            "    \"wintergreen_oil, oil_of_wintergreen\": 13290,\n",
            "    \"wiper\": 17258,\n",
            "    \"wiper, wiper_arm, contact_arm\": 11902,\n",
            "    \"wiper_motor\": 11903,\n",
            "    \"wire\": 11904,\n",
            "    \"wire, conducting_wire\": 11905,\n",
            "    \"wire-haired_fox_terrier\": 2236,\n",
            "    \"wire_cloth\": 11906,\n",
            "    \"wire_cutter\": 11907,\n",
            "    \"wire_gauge, wire_gage\": 11908,\n",
            "    \"wire_matrix_printer, wire_printer, stylus_printer\": 11910,\n",
            "    \"wire_recorder\": 11911,\n",
            "    \"wire_stripper\": 11912,\n",
            "    \"wirehair, wirehaired_terrier, wire-haired_terrier\": 2237,\n",
            "    \"wireless\": 12201,\n",
            "    \"wireless_local_area_network, WLAN, wireless_fidelity, WiFi\": 11909,\n",
            "    \"wireman, wirer\": 17259,\n",
            "    \"wirework, grillwork\": 11913,\n",
            "    \"wireworm\": 2574,\n",
            "    \"wiring\": 11914,\n",
            "    \"wise_guy, smart_aleck, wiseacre, wisenheimer, weisenheimer\": 17260,\n",
            "    \"wisent, aurochs, Bison_bonasus\": 3377,\n",
            "    \"wish-wash\": 13756,\n",
            "    \"wishing_cap\": 11915,\n",
            "    \"witch_doctor\": 17261,\n",
            "    \"witch_elm, wych_elm, Ulmus_glabra\": 19497,\n",
            "    \"witches'_butter, Tremella_lutescens\": 21221,\n",
            "    \"withdrawer\": 17263,\n",
            "    \"witness_box, witness_stand\": 11916,\n",
            "    \"woad\": 18060,\n",
            "    \"wok\": 11917,\n",
            "    \"wold\": 14185,\n",
            "    \"wolf\": 2356,\n",
            "    \"wolf_pup, wolf_cub\": 217,\n",
            "    \"wolf_spider, hunting_spider\": 1273,\n",
            "    \"wolffish, wolf_fish, catfish\": 4001,\n",
            "    \"wolfhound\": 2207,\n",
            "    \"wolfsbane, wolfbane, wolf's_bane, Aconitum_lycoctonum\": 17645,\n",
            "    \"wolverine, carcajou, skunk_bear, Gulo_luscus\": 3532,\n",
            "    \"woman\": 17265,\n",
            "    \"woman's_clothing\": 11918,\n",
            "    \"woman, adult_female\": 17264,\n",
            "    \"wombat\": 1616,\n",
            "    \"won_ton, wonton, wonton_soup\": 12406,\n",
            "    \"wonder_boy, golden_boy\": 17266,\n",
            "    \"wonderer\": 17267,\n",
            "    \"wood\": 11919,\n",
            "    \"wood-frog, wood_frog, Rana_sylvatica\": 933,\n",
            "    \"wood_anemone, Anemone_nemorosa\": 17654,\n",
            "    \"wood_anemone, snowdrop, Anemone_quinquefolia\": 17655,\n",
            "    \"wood_ant, Formica_rufa\": 2708,\n",
            "    \"wood_aster\": 18162,\n",
            "    \"wood_chisel\": 11921,\n",
            "    \"wood_drake\": 1541,\n",
            "    \"wood_duck, summer_duck, wood_widgeon, Aix_sponsa\": 1540,\n",
            "    \"wood_fern, wood-fern, woodfern\": 21515,\n",
            "    \"wood_grain, woodgrain, woodiness\": 11994,\n",
            "    \"wood_hoopoe\": 1465,\n",
            "    \"wood_horsetail, Equisetum_Sylvaticum\": 21583,\n",
            "    \"wood_ibis, wood_stork, Ibis_ibis\": 1908,\n",
            "    \"wood_ibis, wood_stork, flinthead, Mycteria_americana\": 1905,\n",
            "    \"wood_meadowgrass, Poa_nemoralis, Agrostis_alba\": 18750,\n",
            "    \"wood_mint\": 20645,\n",
            "    \"wood_mouse\": 3067,\n",
            "    \"wood_nettle, Laportea_canadensis\": 19462,\n",
            "    \"wood_pigeon, ringdove, cushat, Columba_palumbus\": 1407,\n",
            "    \"wood_rabbit, cottontail, cottontail_rabbit\": 3029,\n",
            "    \"wood_rat, wood-rat\": 3077,\n",
            "    \"wood_sage, Teucrium_scorodonia\": 20731,\n",
            "    \"wood_spurge, Euphorbia_amygdaloides\": 20866,\n",
            "    \"wood_swallow, swallow_shrike\": 783,\n",
            "    \"wood_thrush, Hylocichla_mustelina\": 645,\n",
            "    \"wood_tick, American_dog_tick, Dermacentor_variabilis\": 1287,\n",
            "    \"wood_vise, woodworking_vise, shoulder_vise\": 11926,\n",
            "    \"wood_warbler, Phylloscopus_sibilatrix\": 668,\n",
            "    \"woodbine, Lonicera_periclymenum\": 20198,\n",
            "    \"woodborer, borer\": 1712,\n",
            "    \"woodcarving\": 11920,\n",
            "    \"woodcock\": 1993,\n",
            "    \"wooden_spoon\": 11923,\n",
            "    \"woodenware\": 11922,\n",
            "    \"woodhewer, woodcreeper, wood-creeper, tree_creeper\": 628,\n",
            "    \"woodland_caribou, Rangifer_caribou\": 3482,\n",
            "    \"woodland_oxeye, Buphthalmum_salicifolium\": 18214,\n",
            "    \"woodland_star, Lithophragma_affine, Lithophragma_affinis, Tellima_affinis\": 20538,\n",
            "    \"woodlouse, slater\": 1877,\n",
            "    \"woodpecker, peckerwood, pecker\": 1485,\n",
            "    \"woodruff\": 20159,\n",
            "    \"woodscrew\": 11924,\n",
            "    \"woodshed\": 11925,\n",
            "    \"woodsia\": 21541,\n",
            "    \"woodwaxen, dyer's_greenweed, dyer's-broom, dyeweed, greenweed, whin, woadwaxen, Genista_tinctoria\": 19802,\n",
            "    \"woodwind, woodwind_instrument, wood\": 11927,\n",
            "    \"woodworm\": 1711,\n",
            "    \"woof, weft, filling, pick\": 11928,\n",
            "    \"woofer\": 11929,\n",
            "    \"wool, woolen, woollen\": 11930,\n",
            "    \"wool_grass, Scirpus_cyperinus\": 18811,\n",
            "    \"woolly_adelgid\": 2808,\n",
            "    \"woolly_alder_aphid, Prociphilus_tessellatus\": 2804,\n",
            "    \"woolly_aphid, woolly_plant_louse\": 2802,\n",
            "    \"woolly_apple_aphid, American_blight, Eriosoma_lanigerum\": 2803,\n",
            "    \"woolly_bear, woolly_bear_caterpillar\": 2991,\n",
            "    \"woolly_bear_moth\": 2992,\n",
            "    \"woolly_daisy, dwarf_daisy, Antheropeas_wallacei, Eriophyllum_wallacei\": 18139,\n",
            "    \"woolly_indris, Avahi_laniger\": 3664,\n",
            "    \"woolly_mammoth, northern_mammoth, Mammuthus_primigenius\": 3676,\n",
            "    \"woolly_monkey\": 3652,\n",
            "    \"woolly_rhinoceros, Rhinoceros_antiquitatis\": 3303,\n",
            "    \"woolly_sunflower\": 18293,\n",
            "    \"woolly_thistle, Cirsium_flodmanii\": 18253,\n",
            "    \"wooly_lip_fern, hairy_lip_fern, Cheilanthes_lanosa\": 21558,\n",
            "    \"wordbook\": 12219,\n",
            "    \"work-clothing, work-clothes\": 11933,\n",
            "    \"work-shirt\": 11939,\n",
            "    \"work_animal\": 191,\n",
            "    \"workbasket, workbox, workbag\": 11931,\n",
            "    \"workbench, work_bench, bench\": 11932,\n",
            "    \"worker\": 14501,\n",
            "    \"worker_bee\": 2663,\n",
            "    \"workhorse\": 3261,\n",
            "    \"workhouse\": 11935,\n",
            "    \"working_dog\": 2287,\n",
            "    \"working_girl\": 17268,\n",
            "    \"workman, workingman, working_man, working_person\": 17269,\n",
            "    \"workmate\": 17270,\n",
            "    \"workpiece\": 11936,\n",
            "    \"workroom\": 11937,\n",
            "    \"works, workings\": 11938,\n",
            "    \"workstation\": 11940,\n",
            "    \"worktable, work_table\": 11941,\n",
            "    \"workwear\": 11942,\n",
            "    \"world, human_race, humanity, humankind, human_beings, humans, mankind, man\": 3575,\n",
            "    \"worldling\": 17271,\n",
            "    \"worm\": 1709,\n",
            "    \"worm_fence, snake_fence, snake-rail_fence, Virginia_fence\": 11944,\n",
            "    \"worm_gear\": 11945,\n",
            "    \"worm_lizard\": 1049,\n",
            "    \"worm_wheel\": 11946,\n",
            "    \"wormcast\": 14451,\n",
            "    \"wormseed_mustard, Erysimum_cheiranthoides\": 18055,\n",
            "    \"wormwood_sage, prairie_sagewort, Artemisia_frigida\": 18156,\n",
            "    \"worshiper, worshipper\": 17272,\n",
            "    \"worsted\": 11947,\n",
            "    \"worsted, worsted_yarn\": 11948,\n",
            "    \"wort\": 21284,\n",
            "    \"worthy\": 17273,\n",
            "    \"wrap\": 12787,\n",
            "    \"wrap, wrapper\": 11949,\n",
            "    \"wraparound\": 11950,\n",
            "    \"wrapping, wrap, wrapper\": 11951,\n",
            "    \"wrasse\": 3977,\n",
            "    \"wreck\": 11952,\n",
            "    \"wrecker\": 17274,\n",
            "    \"wren, jenny_wren\": 740,\n",
            "    \"wren-tit, Chamaea_fasciata\": 771,\n",
            "    \"wren_warbler\": 670,\n",
            "    \"wrench, spanner\": 11953,\n",
            "    \"wrestling, rassling, grappling\": 61,\n",
            "    \"wrestling_mat\": 11954,\n",
            "    \"wright\": 17275,\n",
            "    \"wringer\": 11955,\n",
            "    \"wrinkle, furrow, crease, crinkle, seam, line\": 21734,\n",
            "    \"wrist_pad\": 11956,\n",
            "    \"wrist_pin, gudgeon_pin\": 11957,\n",
            "    \"wristwatch, wrist_watch\": 11958,\n",
            "    \"write-in_candidate, write-in\": 17276,\n",
            "    \"writer, author\": 17277,\n",
            "    \"writing_arm\": 11959,\n",
            "    \"writing_desk\": 11961,\n",
            "    \"writing_implement\": 11962,\n",
            "    \"wrongdoer, offender\": 14502,\n",
            "    \"wrymouth, ghostfish, Cryptacanthodes_maculatus\": 4000,\n",
            "    \"wryneck\": 1497,\n",
            "    \"xenolith\": 14452,\n",
            "    \"xeranthemum\": 18477,\n",
            "    \"xerographic_printer\": 11963,\n",
            "    \"yacca, yacca_podocarp, Podocarpus_coriaceus\": 17485,\n",
            "    \"yacht, racing_yacht\": 11968,\n",
            "    \"yacht_chair\": 11969,\n",
            "    \"yagi, Yagi_aerial\": 11970,\n",
            "    \"yak's_milk\": 13502,\n",
            "    \"yak, Bos_grunniens\": 3344,\n",
            "    \"yak_butter\": 13584,\n",
            "    \"yakuza\": 17279,\n",
            "    \"yam\": 18624,\n",
            "    \"yam, yam_plant\": 18623,\n",
            "    \"yam_bean, Pachyrhizus_erosus\": 19859,\n",
            "    \"yard\": 11972,\n",
            "    \"yard, pace\": 21636,\n",
            "    \"yard_bird, yardbird\": 17280,\n",
            "    \"yard_marker\": 11974,\n",
            "    \"yardarm\": 11973,\n",
            "    \"yardgrass, yard_grass, wire_grass, goose_grass, Eleusine_indica\": 18712,\n",
            "    \"yardie\": 17281,\n",
            "    \"yardman\": 17282,\n",
            "    \"yardmaster, trainmaster, train_dispatcher\": 17283,\n",
            "    \"yardstick, yard_measure\": 11975,\n",
            "    \"yarmulke, yarmulka, yarmelke\": 11976,\n",
            "    \"yarrow, milfoil, Achillea_millefolium\": 18117,\n",
            "    \"yashmak, yashmac\": 11977,\n",
            "    \"yataghan\": 11978,\n",
            "    \"yaupon_holly\": 20430,\n",
            "    \"yautia, tannia, spoonflower, malanga, Xanthosoma_sagittifolium, Xanthosoma_atrovirens\": 17816,\n",
            "    \"yawl\": 11980,\n",
            "    \"yawl, dandy\": 11979,\n",
            "    \"yearling\": 3253,\n",
            "    \"yeast\": 21128,\n",
            "    \"yellow, yellowness\": 12026,\n",
            "    \"yellow-bellied_sapsucker, Sphyrapicus_varius\": 1495,\n",
            "    \"yellow-breasted_bunting, Emberiza_aureola\": 579,\n",
            "    \"yellow-breasted_chat, Icteria_virens\": 685,\n",
            "    \"yellow-crowned_night_heron, Nyctanassa_violacea\": 1926,\n",
            "    \"yellow-eyed_grass\": 19996,\n",
            "    \"yellow-fever_mosquito, Aedes_aegypti\": 2641,\n",
            "    \"yellow-green_algae\": 319,\n",
            "    \"yellow-leaf_sickle_pine, Falcatifolium_taxoides\": 17496,\n",
            "    \"yellow-shafted_flicker, Colaptes_auratus, yellowhammer\": 1489,\n",
            "    \"yellow-throated_marten, Charronia_flavigula\": 3541,\n",
            "    \"yellow_adder's_tongue, trout_lily, amberbell, Erythronium_americanum\": 19613,\n",
            "    \"yellow_avens, Geum_alleppicum_strictum, Geum_strictum\": 20048,\n",
            "    \"yellow_avens, Geum_macrophyllum\": 20049,\n",
            "    \"yellow_bass, Morone_interrupta\": 3849,\n",
            "    \"yellow_bedstraw, yellow_cleavers, Our_Lady's_bedstraw, Galium_verum\": 20174,\n",
            "    \"yellow_bells, California_yellow_bells, whispering_bells, Emmanthe_penduliflora\": 20626,\n",
            "    \"yellow_birch, Betula_alleghaniensis, Betula_leutea\": 19155,\n",
            "    \"yellow_bristlegrass, yellow_bristle_grass, yellow_foxtail, glaucous_bristlegrass, Setaria_glauca\": 18758,\n",
            "    \"yellow_chamomile, golden_marguerite, dyers'_chamomile, Anthemis_tinctoria\": 18137,\n",
            "    \"yellow_colicroot, Aletris_aurea\": 19560,\n",
            "    \"yellow_cypress, yellow_cedar, Nootka_cypress, Alaska_cedar, Chamaecyparis_nootkatensis\": 17450,\n",
            "    \"yellow_foxglove, straw_foxglove, Digitalis_lutea\": 20765,\n",
            "    \"yellow_giant_hyssop, Agastache_nepetoides\": 20638,\n",
            "    \"yellow_globe_lily, golden_fairy_lantern, Calochortus_amabilis\": 19600,\n",
            "    \"yellow_goatfish, Mulloidichthys_martinicus\": 3955,\n",
            "    \"yellow_henbane, Physalis_viscosa\": 20841,\n",
            "    \"yellow_honeysuckle, Lonicera_flava\": 20193,\n",
            "    \"yellow_jack, Caranx_bartholomaei\": 3875,\n",
            "    \"yellow_jacket, yellow_hornet, Vespula_maculifrons\": 2684,\n",
            "    \"yellow_jasmine, yellow_jessamine, Carolina_jasmine, evening_trumpet_flower, Gelsemium_sempervirens\": 19698,\n",
            "    \"yellow_journalism, tabloid, tab\": 12183,\n",
            "    \"yellow_lady's_slipper, yellow_lady-slipper, Cypripedium_calceolus, Cypripedium_parviflorum\": 18535,\n",
            "    \"yellow_mariposa_tulip, Calochortus_luteus\": 19604,\n",
            "    \"yellow_mountain_saxifrage, Saxifraga_aizoides\": 20519,\n",
            "    \"yellow_oleander, Thevetia_peruviana, Thevetia_neriifolia\": 17780,\n",
            "    \"yellow_perch, Perca_flavescens\": 3815,\n",
            "    \"yellow_pimpernel, Lysimachia_nemorum\": 18649,\n",
            "    \"yellow_pine\": 17374,\n",
            "    \"yellow_rocket, rockcress, rocket_cress, Barbarea_vulgaris, Sisymbrium_barbarea\": 18017,\n",
            "    \"yellow_salsify, Tragopogon_dubius\": 18461,\n",
            "    \"yellow_sand_verbena, Abronia_latifolia\": 17931,\n",
            "    \"yellow_spiny_daisy, Haplopappus_spinulosus\": 18320,\n",
            "    \"yellow_spot_fungus, Cercospora_kopkei\": 21275,\n",
            "    \"yellow_squash\": 18829,\n",
            "    \"yellow_twining_snapdragon, Antirrhinum_filipes\": 20748,\n",
            "    \"yellow_warbler, golden_warbler, yellowbird, Dendroica_petechia\": 679,\n",
            "    \"yellowbelly_marmot, rockchuck, Marmota_flaviventris\": 3162,\n",
            "    \"yellowfin, yellowfin_tuna, Thunnus_albacares\": 4031,\n",
            "    \"yellowfin_croaker, surffish, surf_fish, Umbrina_roncador\": 3941,\n",
            "    \"yellowfin_mojarra, Gerres_cinereus\": 4058,\n",
            "    \"yellowhammer, yellow_bunting, Emberiza_citrinella\": 578,\n",
            "    \"yellowlegs\": 1980,\n",
            "    \"yellowtail, Seriola_dorsalis\": 3883,\n",
            "    \"yellowtail, yellowtail_snapper, Ocyurus_chrysurus\": 3909,\n",
            "    \"yellowtail_flounder, Limanda_ferruginea\": 4114,\n",
            "    \"yellowthroat\": 688,\n",
            "    \"yellowwood, yellowwood_tree\": 17482,\n",
            "    \"yenta\": 17284,\n",
            "    \"yerba_buena, Micromeria_chamissonis, Micromeria_douglasii, Satureja_douglasii\": 20691,\n",
            "    \"yerba_mansa, Anemopsis_californica\": 21427,\n",
            "    \"yerba_santa, Eriodictyon_californicum\": 20627,\n",
            "    \"yew\": 17509,\n",
            "    \"yogi\": 17285,\n",
            "    \"yogurt, yoghurt, yoghourt\": 13531,\n",
            "    \"yoke\": 11982,\n",
            "    \"yoke, coupling\": 11983,\n",
            "    \"yolk, vitellus\": 418,\n",
            "    \"young, offspring\": 212,\n",
            "    \"young_Turk\": 17287,\n",
            "    \"young_bird\": 847,\n",
            "    \"young_buck, young_man\": 17286,\n",
            "    \"young_fish\": 3698,\n",
            "    \"young_mammal\": 214,\n",
            "    \"yurt\": 11984,\n",
            "    \"zabaglione, sabayon\": 12613,\n",
            "    \"zamia\": 17342,\n",
            "    \"zebra\": 3296,\n",
            "    \"zebra-tailed_lizard, gridiron-tailed_lizard, Callisaurus_draconoides\": 1033,\n",
            "    \"zebra_finch, Poephila_castanotis\": 601,\n",
            "    \"zebra_mussel, Dreissena_polymorpha\": 1814,\n",
            "    \"zebrawood, zebrawood_tree\": 17707,\n",
            "    \"zebu\": 3342,\n",
            "    \"zero\": 11986,\n",
            "    \"ziggurat, zikkurat, zikurat\": 11987,\n",
            "    \"zigzag_goldenrod, broad_leaved_goldenrod\": 18440,\n",
            "    \"zill\": 11988,\n",
            "    \"zinfandel\": 13844,\n",
            "    \"zinnia, old_maid, old_maid_flower\": 18479,\n",
            "    \"zip_gun\": 11989,\n",
            "    \"zither, cither, zithern\": 11990,\n",
            "    \"zodiac\": 14211,\n",
            "    \"zombie, zombi\": 13975,\n",
            "    \"zoo_keeper\": 17290,\n",
            "    \"zooid\": 334,\n",
            "    \"zoomastigote, zooflagellate\": 336,\n",
            "    \"zooplankton\": 295,\n",
            "    \"zoospore\": 17325,\n",
            "    \"zoot_suit\": 11991,\n",
            "    \"zoysia\": 18796,\n",
            "    \"zucchini, courgette\": 18831,\n",
            "    \"zwieback, rusk, Brussels_biscuit, twice-baked_bread\": 12729,\n",
            "    \"zygospore\": 21630\n",
            "  },\n",
            "  \"layer_norm_eps\": 1e-05,\n",
            "  \"mlp_ratio\": 4.0,\n",
            "  \"model_type\": \"swin\",\n",
            "  \"num_channels\": 3,\n",
            "  \"num_heads\": [\n",
            "    4,\n",
            "    8,\n",
            "    16,\n",
            "    32\n",
            "  ],\n",
            "  \"num_layers\": 4,\n",
            "  \"out_features\": [\n",
            "    \"stage4\"\n",
            "  ],\n",
            "  \"out_indices\": [\n",
            "    4\n",
            "  ],\n",
            "  \"patch_size\": 4,\n",
            "  \"path_norm\": true,\n",
            "  \"qkv_bias\": true,\n",
            "  \"stage_names\": [\n",
            "    \"stem\",\n",
            "    \"stage1\",\n",
            "    \"stage2\",\n",
            "    \"stage3\",\n",
            "    \"stage4\"\n",
            "  ],\n",
            "  \"torch_dtype\": \"float32\",\n",
            "  \"transformers_version\": \"4.31.0\",\n",
            "  \"use_absolute_embeddings\": false,\n",
            "  \"window_size\": 7\n",
            "}\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/437M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "178784c676f54b7786427889a8ef35be"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--microsoft--swin-base-patch4-window7-224-in22k/snapshots/68dc76680a5bf3bdf670669f3025dc9be2e30781/model.safetensors\n",
            "Some weights of the model checkpoint at microsoft/swin-base-patch4-window7-224-in22k were not used when initializing SwinModel: ['classifier.bias', 'classifier.weight']\n",
            "- This IS expected if you are initializing SwinModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing SwinModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "All the weights of SwinModel were initialized from the model checkpoint at microsoft/swin-base-patch4-window7-224-in22k.\n",
            "If your task is similar to the task the model of the checkpoint was trained on, you can already use SwinModel for predictions without further training.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/665 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "37f423aecdf7491fb164b6417246c669"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/config.json\n",
            "Model config GPT2Config {\n",
            "  \"_name_or_path\": \"gpt2\",\n",
            "  \"activation_function\": \"gelu_new\",\n",
            "  \"architectures\": [\n",
            "    \"GPT2LMHeadModel\"\n",
            "  ],\n",
            "  \"attn_pdrop\": 0.1,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"embd_pdrop\": 0.1,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"initializer_range\": 0.02,\n",
            "  \"layer_norm_epsilon\": 1e-05,\n",
            "  \"model_type\": \"gpt2\",\n",
            "  \"n_ctx\": 1024,\n",
            "  \"n_embd\": 768,\n",
            "  \"n_head\": 12,\n",
            "  \"n_inner\": null,\n",
            "  \"n_layer\": 12,\n",
            "  \"n_positions\": 1024,\n",
            "  \"reorder_and_upcast_attn\": false,\n",
            "  \"resid_pdrop\": 0.1,\n",
            "  \"scale_attn_by_inverse_layer_idx\": false,\n",
            "  \"scale_attn_weights\": true,\n",
            "  \"summary_activation\": null,\n",
            "  \"summary_first_dropout\": 0.1,\n",
            "  \"summary_proj_to_labels\": true,\n",
            "  \"summary_type\": \"cls_index\",\n",
            "  \"summary_use_proj\": true,\n",
            "  \"task_specific_params\": {\n",
            "    \"text-generation\": {\n",
            "      \"do_sample\": true,\n",
            "      \"max_length\": 50\n",
            "    }\n",
            "  },\n",
            "  \"transformers_version\": \"4.31.0\",\n",
            "  \"use_cache\": true,\n",
            "  \"vocab_size\": 50257\n",
            "}\n",
            "\n",
            "Initializing gpt2 as a decoder model. Cross attention layers are added to gpt2 and randomly initialized if gpt2's architecture allows for cross attention layers.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/548M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8c9f93e48aa945d2980988dac3ee82c2"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/model.safetensors\n",
            "Generate config GenerationConfig {\n",
            "  \"_from_model_config\": true,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"transformers_version\": \"4.31.0\"\n",
            "}\n",
            "\n",
            "All model checkpoint weights were used when initializing GPT2LMHeadModel.\n",
            "\n",
            "Some weights of GPT2LMHeadModel were not initialized from the model checkpoint at gpt2 and are newly initialized: ['h.8.crossattention.c_attn.bias', 'h.8.crossattention.c_attn.weight', 'h.10.ln_cross_attn.bias', 'h.2.crossattention.c_proj.weight', 'h.0.ln_cross_attn.bias', 'h.8.ln_cross_attn.weight', 'h.10.crossattention.c_attn.bias', 'h.9.crossattention.q_attn.bias', 'h.7.crossattention.q_attn.bias', 'h.4.crossattention.q_attn.bias', 'h.5.crossattention.c_proj.bias', 'h.9.crossattention.c_proj.bias', 'h.2.crossattention.c_attn.weight', 'h.7.crossattention.c_proj.weight', 'h.6.crossattention.q_attn.bias', 'h.9.crossattention.c_attn.weight', 'h.0.crossattention.q_attn.bias', 'h.6.ln_cross_attn.bias', 'h.3.ln_cross_attn.bias', 'h.6.crossattention.c_attn.weight', 'h.3.crossattention.c_proj.bias', 'h.11.ln_cross_attn.bias', 'h.10.crossattention.c_proj.bias', 'h.7.ln_cross_attn.bias', 'h.2.crossattention.c_attn.bias', 'h.6.crossattention.q_attn.weight', 'h.1.crossattention.c_proj.bias', 'h.3.crossattention.q_attn.weight', 'h.2.ln_cross_attn.bias', 'h.8.crossattention.c_proj.bias', 'h.5.crossattention.c_attn.bias', 'h.11.ln_cross_attn.weight', 'h.1.ln_cross_attn.bias', 'h.9.crossattention.c_attn.bias', 'h.11.crossattention.c_attn.bias', 'h.0.crossattention.c_proj.bias', 'h.2.crossattention.q_attn.bias', 'h.10.crossattention.c_proj.weight', 'h.4.crossattention.c_proj.weight', 'h.4.ln_cross_attn.weight', 'h.10.crossattention.q_attn.weight', 'h.4.crossattention.c_attn.weight', 'h.0.ln_cross_attn.weight', 'h.1.crossattention.q_attn.bias', 'h.10.crossattention.q_attn.bias', 'h.11.crossattention.c_proj.weight', 'h.6.crossattention.c_attn.bias', 'h.4.crossattention.c_proj.bias', 'h.6.crossattention.c_proj.weight', 'h.2.ln_cross_attn.weight', 'h.8.crossattention.q_attn.bias', 'h.5.crossattention.c_attn.weight', 'h.4.crossattention.c_attn.bias', 'h.5.crossattention.c_proj.weight', 'h.11.crossattention.q_attn.weight', 'h.0.crossattention.c_attn.weight', 'h.3.crossattention.c_attn.weight', 'h.0.crossattention.q_attn.weight', 'h.6.crossattention.c_proj.bias', 'h.11.crossattention.c_proj.bias', 'h.6.ln_cross_attn.weight', 'h.1.crossattention.c_attn.weight', 'h.8.crossattention.c_proj.weight', 'h.3.crossattention.q_attn.bias', 'h.1.crossattention.c_attn.bias', 'h.11.crossattention.c_attn.weight', 'h.9.crossattention.c_proj.weight', 'h.3.crossattention.c_attn.bias', 'h.3.ln_cross_attn.weight', 'h.5.crossattention.q_attn.bias', 'h.4.ln_cross_attn.bias', 'h.2.crossattention.q_attn.weight', 'h.5.ln_cross_attn.bias', 'h.2.crossattention.c_proj.bias', 'h.7.crossattention.q_attn.weight', 'h.9.ln_cross_attn.bias', 'h.8.crossattention.q_attn.weight', 'h.10.ln_cross_attn.weight', 'h.7.crossattention.c_attn.weight', 'h.7.ln_cross_attn.weight', 'h.3.crossattention.c_proj.weight', 'h.5.crossattention.q_attn.weight', 'h.1.ln_cross_attn.weight', 'h.7.crossattention.c_proj.bias', 'h.1.crossattention.q_attn.weight', 'h.9.ln_cross_attn.weight', 'h.5.ln_cross_attn.weight', 'h.8.ln_cross_attn.bias', 'h.11.crossattention.q_attn.bias', 'h.4.crossattention.q_attn.weight', 'h.7.crossattention.c_attn.bias', 'h.1.crossattention.c_proj.weight', 'h.0.crossattention.c_attn.bias', 'h.9.crossattention.q_attn.weight', 'h.10.crossattention.c_attn.weight', 'h.0.crossattention.c_proj.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)neration_config.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f7e7d86e423b476d80c88a809ec36d2a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/generation_config.json\n",
            "Generate config GenerationConfig {\n",
            "  \"_from_model_config\": true,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"transformers_version\": \"4.31.0\"\n",
            "}\n",
            "\n",
            "Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config\n",
            "Generate config GenerationConfig {\n",
            "  \"_from_model_config\": true,\n",
            "  \"transformers_version\": \"4.31.0\"\n",
            "}\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Loading Tokenizers and Image Processors"
      ],
      "metadata": {
        "id": "UMUW2pv61sE1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "## Initialize the Tokenizer\n",
        "\n",
        "# The tokenizer is used to preprocess the text and convert it into numerical inputs for the model\n",
        "# Available tokenizers:\n",
        "# tokenizer = AutoTokenizer.from_pretrained(decoder_model)\n",
        "tokenizer = GPT2TokenizerFast.from_pretrained(decoder_model)\n",
        "# tokenizer = BertTokenizerFast.from_pretrained(decoder_model)\n",
        "\n",
        "## Initialize the Image Processor\n",
        "\n",
        "# The image processor is used to preprocess the images and extract visual features\n",
        "# Available image processors:\n",
        "# - ViTImageProcessor (for \"google/vit-base-patch16-224\" and \"microsoft/swin-base-patch4-window7-224-in22k\" encoder models)\n",
        "image_processor = ViTImageProcessor.from_pretrained(encoder_model)"
      ],
      "metadata": {
        "id": "rNhNiKcx0w7E",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "2f664c9a97244ccb9e83eeabc4c8dcfe",
            "d8a21445a15c43309c604277a9fd6d12",
            "4b30d49dc7d545789f5e3281931dfd0a",
            "d457f18224db477ea48a6bb44b394da7",
            "a6b499259827423c9485610067cc083c",
            "cf11882ae8054bc790484dfc2f1c48c1",
            "af603e726d88424aa2a1e5e3e481cc19",
            "4691f5ee30354343a9da7d68f418dd5d",
            "c0863442982342da8d29e365b2b15573",
            "df0ae1e52b8e4c4fa8df785f49478717",
            "fed757c827854726aa4cefb22a636330",
            "26c948ce9e464d2eb97471199d4154cd",
            "fdefdbe32ccf4bbeb580b374d28e7c70",
            "e582659526ed4fb4b0084d48af3d048c",
            "9406f2b9b8a34d77b7c62033a84a4413",
            "505bd15976804038975672e6c053e5bf",
            "ccff536a53504cdb9401f50046ba8030",
            "600c57a22a5348eab995084ff6c67e04",
            "e8899fcfa7324b42be7b9e2bd6a1603f",
            "98121be6b3aa43a9bd4db4836d8ea02d",
            "d5f562963e3946c9bafbf80866e6778e",
            "8717efc0fd2d4fa1a12538f6512a750d",
            "90e4e441a97f4c16a1c988e3a95aeff5",
            "d1bda0e53e954cffaa3ef7ba5b0e6b92",
            "be12607514b146ea90aebd0f1456b125",
            "3ec3bcdce3144f01b83259a9710826d8",
            "053fe6686dd24661874af31fe5954c8f",
            "b57a53016817460e9396f31fc94cd6cf",
            "411602b3b8bc499fa984d09b96ddafd5",
            "81e52d5e73534316a8d652bdfc4f635b",
            "0d24e64d1e734e42bc7c400396f9815c",
            "4fe0cc67e9a24fc2a2adc8c855939976",
            "46cc25461f3641fbb79e15945fd49914",
            "a68f11585dae4aff8ed626a25ac909d8",
            "9e7719d0bb6840aaa3902cece9f6423f",
            "53439f9398e64fae9797e515a2738b7c",
            "2731ab729759460488668a67deb52c0b",
            "6ddabb251fb6410b9fff7817c3ab3955",
            "23a6f0ceb38f47a5990056b131fd7e52",
            "19185fd118034682ba420aa6cae96c8a",
            "75965067607f4aad8685f058fb071c10",
            "1c44ad839a6b4709ac2ac2738f084d1f",
            "b8f3e5739b2a4ab1a9b1703feffc8eb7",
            "7be507c69c5345c2bd61d2651fd89e50"
          ]
        },
        "outputId": "0fc80518-f81d-41dd-9c91-8aa5844221a5"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)olve/main/vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "2f664c9a97244ccb9e83eeabc4c8dcfe"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)olve/main/merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "26c948ce9e464d2eb97471199d4154cd"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "90e4e441a97f4c16a1c988e3a95aeff5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "loading file vocab.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/vocab.json\n",
            "loading file merges.txt from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/merges.txt\n",
            "loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/tokenizer.json\n",
            "loading file added_tokens.json from cache at None\n",
            "loading file special_tokens_map.json from cache at None\n",
            "loading file tokenizer_config.json from cache at None\n",
            "loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--gpt2/snapshots/11c5a3d5811f50298f278a704980280950aedb10/config.json\n",
            "Model config GPT2Config {\n",
            "  \"_name_or_path\": \"gpt2\",\n",
            "  \"activation_function\": \"gelu_new\",\n",
            "  \"architectures\": [\n",
            "    \"GPT2LMHeadModel\"\n",
            "  ],\n",
            "  \"attn_pdrop\": 0.1,\n",
            "  \"bos_token_id\": 50256,\n",
            "  \"embd_pdrop\": 0.1,\n",
            "  \"eos_token_id\": 50256,\n",
            "  \"initializer_range\": 0.02,\n",
            "  \"layer_norm_epsilon\": 1e-05,\n",
            "  \"model_type\": \"gpt2\",\n",
            "  \"n_ctx\": 1024,\n",
            "  \"n_embd\": 768,\n",
            "  \"n_head\": 12,\n",
            "  \"n_inner\": null,\n",
            "  \"n_layer\": 12,\n",
            "  \"n_positions\": 1024,\n",
            "  \"reorder_and_upcast_attn\": false,\n",
            "  \"resid_pdrop\": 0.1,\n",
            "  \"scale_attn_by_inverse_layer_idx\": false,\n",
            "  \"scale_attn_weights\": true,\n",
            "  \"summary_activation\": null,\n",
            "  \"summary_first_dropout\": 0.1,\n",
            "  \"summary_proj_to_labels\": true,\n",
            "  \"summary_type\": \"cls_index\",\n",
            "  \"summary_use_proj\": true,\n",
            "  \"task_specific_params\": {\n",
            "    \"text-generation\": {\n",
            "      \"do_sample\": true,\n",
            "      \"max_length\": 50\n",
            "    }\n",
            "  },\n",
            "  \"transformers_version\": \"4.31.0\",\n",
            "  \"use_cache\": true,\n",
            "  \"vocab_size\": 50257\n",
            "}\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)rocessor_config.json:   0%|          | 0.00/255 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a68f11585dae4aff8ed626a25ac909d8"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "loading configuration file preprocessor_config.json from cache at /root/.cache/huggingface/hub/models--microsoft--swin-base-patch4-window7-224-in22k/snapshots/68dc76680a5bf3bdf670669f3025dc9be2e30781/preprocessor_config.json\n",
            "size should be a dictionary on of the following set of keys: ({'height', 'width'}, {'shortest_edge'}, {'longest_edge', 'shortest_edge'}, {'longest_edge'}), got 224. Converted to {'height': 224, 'width': 224}.\n",
            "Image processor ViTImageProcessor {\n",
            "  \"do_normalize\": true,\n",
            "  \"do_rescale\": true,\n",
            "  \"do_resize\": true,\n",
            "  \"feature_extractor_type\": \"ViTFeatureExtractor\",\n",
            "  \"image_mean\": [\n",
            "    0.485,\n",
            "    0.456,\n",
            "    0.406\n",
            "  ],\n",
            "  \"image_processor_type\": \"ViTImageProcessor\",\n",
            "  \"image_std\": [\n",
            "    0.229,\n",
            "    0.224,\n",
            "    0.225\n",
            "  ],\n",
            "  \"resample\": 3,\n",
            "  \"rescale_factor\": 0.00392156862745098,\n",
            "  \"size\": {\n",
            "    \"height\": 224,\n",
            "    \"width\": 224\n",
            "  }\n",
            "}\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Configuring the Model and Tokenizer for the Decoder"
      ],
      "metadata": {
        "id": "klWjnKQu166B"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# If the decoder model is \"gpt2\"\n",
        "if \"gpt2\" in decoder_model:\n",
        "    # Adjust the tokenizer and model configurations for \"gpt2\"\n",
        "    tokenizer.pad_token = tokenizer.eos_token  # Set pad_token_id as eos_token_id\n",
        "    model.config.eos_token_id = tokenizer.eos_token_id\n",
        "    model.config.pad_token_id = tokenizer.pad_token_id\n",
        "    model.config.decoder_start_token_id = tokenizer.bos_token_id  # Set decoder_start_token_id as bos_token_id\n",
        "else:\n",
        "    # For other decoder models\n",
        "    model.config.decoder_start_token_id = tokenizer.cls_token_id  # Set decoder_start_token_id as cls_token_id\n",
        "    model.config.pad_token_id = tokenizer.pad_token_id  # Set pad_token_id as pad_token_id"
      ],
      "metadata": {
        "id": "hPnmCWIy1x_i"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Importing and Loading the Dataset"
      ],
      "metadata": {
        "id": "PCPLUZx-2Zyz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "\n",
        "max_length = 32  # Maximum length of the captions in tokens\n",
        "coco_dataset_ratio = 50  # 50% of the COCO2014 dataset\n",
        "\n",
        "# Load the COCO2014 dataset for training, validation, and testing splits\n",
        "train_ds = load_dataset(\"HuggingFaceM4/COCO\", split=f\"train[:{coco_dataset_ratio}%]\")\n",
        "valid_ds = load_dataset(\"HuggingFaceM4/COCO\", split=f\"validation[:{coco_dataset_ratio}%]\")\n",
        "test_ds = load_dataset(\"HuggingFaceM4/COCO\", split=\"test\")\n",
        "\n",
        "# Get the number of examples in each split\n",
        "train_len = len(train_ds)\n",
        "valid_len = len(valid_ds)\n",
        "test_len = len(test_ds)\n",
        "\n",
        "train_len, valid_len, test_len  # Display the number of examples in each split"
      ],
      "metadata": {
        "id": "3MNaUVTP2TY-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354,
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              "Generating train split: 0 examples [00:00, ? examples/s]"
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              "Generating validation split: 0 examples [00:00, ? examples/s]"
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              "Generating test split: 0 examples [00:00, ? examples/s]"
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(283374, 12505, 25010)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Removing Images with Less than 3 Dimensions"
      ],
      "metadata": {
        "id": "6tyK3oiv3cDZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Filter out images with less than 3 dimensions (possibly grayscale images)\n",
        "train_ds = train_ds.filter(lambda item: np.array(item[\"image\"]).ndim in [3, 4], num_proc=2)\n",
        "valid_ds = valid_ds.filter(lambda item: np.array(item[\"image\"]).ndim in [3, 4], num_proc=2)\n",
        "test_ds = test_ds.filter(lambda item: np.array(item[\"image\"]).ndim in [3, 4], num_proc=2)"
      ],
      "metadata": {
        "id": "aykI2EVF3RqF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
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        },
        "outputId": "afd40eb7-ba52-4448-c782-d3bf2eeae7a4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Filter (num_proc=2):   0%|          | 0/283374 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cf9555d4aea14fc3b02da2f552fd98e6"
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Dataset Preprocessing"
      ],
      "metadata": {
        "id": "I-uecfQV35T6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import urllib.parse as parse\n",
        "import os\n",
        "\n",
        "# a function to determine whether a string is a URL or not\n",
        "def is_url(string):\n",
        "    try:\n",
        "        result = parse.urlparse(string)\n",
        "        return all([result.scheme, result.netloc, result.path])\n",
        "    except:\n",
        "        return False\n",
        "\n",
        "# a function to load an image\n",
        "def load_image(image_path):\n",
        "    if is_url(image_path):\n",
        "        return Image.open(requests.get(image_path, stream=True).raw)\n",
        "    elif os.path.exists(image_path):\n",
        "        return Image.open(image_path)\n",
        "\n",
        "\n",
        "# a function to perform inference\n",
        "def get_caption(model, image_processor, tokenizer, image_path):\n",
        "    image = load_image(image_path)\n",
        "    # preprocess the image\n",
        "    img = image_processor(image, return_tensors=\"pt\").to(device)\n",
        "    # generate the caption (using greedy decoding by default)\n",
        "    output = model.generate(**img)\n",
        "    # decode the output\n",
        "    caption = tokenizer.batch_decode(output, skip_special_tokens=True)[0]\n",
        "    return caption"
      ],
      "metadata": {
        "id": "t-qs7Xk40XMP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def preprocess(items):\n",
        "    # Preprocess the image\n",
        "    pixel_values = image_processor(items[\"image\"], return_tensors=\"pt\").pixel_values.to(device)\n",
        "\n",
        "    # Tokenize the captions with truncation and padding\n",
        "    targets = tokenizer([sentence[0] for sentence in items[\"sentences\"]],\n",
        "                        max_length=max_length, padding=\"max_length\", truncation=True, return_tensors=\"pt\").to(device)\n",
        "\n",
        "    return {'pixel_values': pixel_values, 'labels': targets[\"input_ids\"]}\n",
        "\n",
        "# Apply the preprocess function to transform the datasets during training\n",
        "train_dataset = train_ds.map(preprocess)\n",
        "valid_dataset = valid_ds.map(preprocess)\n",
        "test_dataset = test_ds.map(preprocess)"
      ],
      "metadata": {
        "id": "fyHxgbuj3sh_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Batch Collation Function"
      ],
      "metadata": {
        "id": "HPfVVCiw4YSG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def collate_fn(batch):\n",
        "    return {\n",
        "        'pixel_values': torch.stack([x['pixel_values'] for x in batch]),\n",
        "        'labels': torch.stack([x['labels'] for x in batch])\n",
        "    }\n",
        "\n",
        "# This function takes a batch of preprocessed examples and stacks the pixel values and labels into tensors. It will be used by the data loader to collate the samples into batches."
      ],
      "metadata": {
        "id": "BYpNzhDc3-Kz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Metrics Computation"
      ],
      "metadata": {
        "id": "wftumlXv4xpi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import evaluate\n",
        "\n",
        "# Load the Rouge and Bleu metrics\n",
        "rouge = evaluate.load(\"rouge\")\n",
        "bleu = evaluate.load(\"bleu\")\n",
        "\n",
        "def compute_metrics(eval_pred):\n",
        "    preds = eval_pred.label_ids\n",
        "    labels = eval_pred.predictions\n",
        "\n",
        "    # Decode the predictions and labels\n",
        "    pred_str = tokenizer.batch_decode(preds, skip_special_tokens=True)\n",
        "    labels_str = tokenizer.batch_decode(labels, skip_special_tokens=True)\n",
        "\n",
        "    # Compute the Rouge score\n",
        "    rouge_result = rouge.compute(predictions=pred_str, references=labels_str)\n",
        "    rouge_result = {k: round(v * 100, 4) for k, v in rouge_result.items()}  # Multiply by 100 to get the same scale as the Rouge score\n",
        "\n",
        "    # Compute the Bleu score\n",
        "    bleu_result = bleu.compute(predictions=pred_str, references=labels_str)\n",
        "\n",
        "    # Get the length of the generated captions\n",
        "    generation_length = bleu_result[\"translation_length\"]\n",
        "\n",
        "    return {\n",
        "        **rouge_result,\n",
        "        \"bleu\": round(bleu_result[\"bleu\"] * 100, 4),\n",
        "        \"gen_len\": bleu_result[\"translation_length\"] / len(preds)\n",
        "    }\n",
        "\n",
        "# This function takes the evaluation predictions (including label ids and predicted ids) and computes the Rouge and Bleu scores for the generated captions. It also calculates the average generation length."
      ],
      "metadata": {
        "id": "xsoONCcF4s8v"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Training Parameters"
      ],
      "metadata": {
        "id": "kw9CUXC25LYl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "num_epochs = 2  # Number of epochs\n",
        "batch_size = 16  # Batch size\n",
        "\n",
        "# Set the number of training epochs and the batch size. Adjust these values according to your specific requirements."
      ],
      "metadata": {
        "id": "YAF6VbgJ5Geb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Dataset Example Shapes"
      ],
      "metadata": {
        "id": "G4iK9S0A5kp8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Iterate over the training dataset and print the shapes of labels and pixel values for an example.\n",
        "for item in train_dataset:\n",
        "    print(item[\"labels\"].shape)\n",
        "    print(item[\"pixel_values\"].shape)\n",
        "    break"
      ],
      "metadata": {
        "id": "U-GsMu9h5UkO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Training Arguments"
      ],
      "metadata": {
        "id": "MM_cRjXs6Gm_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import Seq2SeqTrainingArguments\n",
        "\n",
        "# Define the training arguments\n",
        "training_args = Seq2SeqTrainingArguments(\n",
        "    predict_with_generate=True,             # Use generate to calculate the loss\n",
        "    num_train_epochs=num_epochs,            # Number of training epochs\n",
        "    evaluation_strategy=\"steps\",            # Evaluate after each eval_steps\n",
        "    eval_steps=2000,                        # Evaluate after each 2000 steps\n",
        "    logging_steps=2000,                     # Log after each 2000 steps\n",
        "    save_steps=2000,                        # Save after each 2000 steps\n",
        "    per_device_train_batch_size=batch_size, # Batch size for training\n",
        "    per_device_eval_batch_size=batch_size,  # Batch size for evaluation\n",
        "    output_dir=\"vit-swin-base-224-gpt2-image-captioning\",  # Output directory for saving checkpoints and logs\n",
        "    # push_to_hub=True # Whether you want to push the model to the hub\n",
        "    # Check this guide for more details: https://huggingface.co/transformers/model_sharing.html\n",
        ")"
      ],
      "metadata": {
        "id": "EzcUfuB454Ri"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# DataLoader Functions"
      ],
      "metadata": {
        "id": "RSGzJ_Xy6aj7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torch.utils.data import DataLoader\n",
        "\n",
        "def get_eval_loader(eval_dataset=None):\n",
        "    return DataLoader(valid_dataset, collate_fn=collate_fn, batch_size=batch_size)\n",
        "\n",
        "def get_test_loader(eval_dataset=None):\n",
        "    return DataLoader(test_dataset, collate_fn=collate_fn, batch_size=batch_size)\n",
        "\n",
        "# Override the `get_train_dataloader`, `get_eval_dataloader`, and `get_test_dataloader` methods of the trainer\n",
        "# so that we can properly load the data\n",
        "\n",
        "trainer.get_train_dataloader = lambda: DataLoader(train_dataset, collate_fn=collate_fn, batch_size=batch_size)\n",
        "trainer.get_eval_dataloader = get_eval_loader\n",
        "trainer.get_test_dataloader = get_test_loader\n",
        "\n",
        "# These functions define the data loaders for training, evaluation, and testing. We override the default methods in the trainer to use our custom data loaders that properly collate the batches using the `collate_fn` function."
      ],
      "metadata": {
        "id": "EV90_wBb6WcA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Train the model"
      ],
      "metadata": {
        "id": "0n7Cj3nzdoTE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "trainer.train()\n",
        "\n",
        "# Evaluate the model on the test dataset\n",
        "trainer.evaluate(test_dataset)\n",
        "\n",
        "# If you set the push_to_hub parameter in the TrainingArguments,\n",
        "# complete the push to the model hub using the following code\n",
        "trainer.push_to_hub()"
      ],
      "metadata": {
        "id": "2f1AFtp7czjQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Managing Memory by Freeing Space"
      ],
      "metadata": {
        "id": "qqk39LcCdrIg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import necessary libraries\n",
        "import gc\n",
        "\n",
        "# Free up GPU memory\n",
        "torch.cuda.empty_cache()\n",
        "\n",
        "# Perform garbage collection to release unused memory\n",
        "gc.collect()\n"
      ],
      "metadata": {
        "id": "SBvLWYiJdCpe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Using PyToch DataLoader"
      ],
      "metadata": {
        "id": "7LuAScaJe_ng"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import necessary libraries\n",
        "from torch.utils.data import DataLoader\n",
        "\n",
        "# Define data loaders for training, validation, and testing datasets\n",
        "train_dataset_loader = DataLoader(train_dataset, collate_fn=collate_fn, batch_size=batch_size, shuffle=True)\n",
        "valid_dataset_loader = DataLoader(valid_dataset, collate_fn=collate_fn, batch_size=8, shuffle=True)\n",
        "test_dataset_loader = DataLoader(test_dataset, collate_fn=collate_fn, batch_size=8, shuffle=True)"
      ],
      "metadata": {
        "id": "18ffHR2Udh3M"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Import necessary libraries\n",
        "from torch.optim import AdamW\n",
        "\n",
        "# Define the optimizer\n",
        "optimizer = AdamW(model.parameters(), lr=1e-5)\n",
        "\n",
        "# The code comment has been updated to explain that the purpose of this line is to define the optimizer (AdamW) and initialize it with the model's parameters, using a learning rate of 1e-5."
      ],
      "metadata": {
        "id": "O09qZwDDeHFm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Handling Log Files with TensorBoard"
      ],
      "metadata": {
        "id": "sCNaNxrFfILN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Start tensorboard\n",
        "%load_ext tensorboard\n",
        "%tensorboard --logdir ./image-captioning/tensorboard\n",
        "\n",
        "# The code you provided is used to start TensorBoard within a Jupyter Notebook environment. It first loads the TensorBoard extension using `%load_ext tensorboard`, and then starts TensorBoard with the specified log directory using `%tensorboard --logdir ./image-captioning/tensorboard`.\n",
        "\n",
        "# Please note that the `./image-captioning/tensorboard` directory should contain the log files generated during the training process."
      ],
      "metadata": {
        "id": "DpO8JMLDeb9_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from torch.utils.tensorboard import SummaryWriter\n",
        "\n",
        "# Create a SummaryWriter for TensorBoard logging\n",
        "summary_writer = SummaryWriter(log_dir=\"./image-captioning/tensorboard\")\n",
        "\n",
        "# Print some statistics before training\n",
        "# Calculate the number of training steps\n",
        "n_train_steps = num_epochs * len(train_dataset_loader)\n",
        "# Calculate the number of validation steps\n",
        "n_valid_steps = len(valid_dataset_loader)\n",
        "# Set the current training step to 0\n",
        "current_step = 0\n",
        "# Define the step frequency for logging, evaluation, and saving\n",
        "save_steps = 1000\n",
        "\n",
        "\n",
        "# The code comments have been updated to explain that the `SummaryWriter` is used for logging training information to TensorBoard. The statistics before training are also clarified, including the calculation of the number of training and validation steps, the initialization of the current training step, and the definition of the step frequency for logging, evaluation, and saving."
      ],
      "metadata": {
        "id": "23KSHuIifZQk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Training Loop"
      ],
      "metadata": {
        "id": "glRaqclDgkWg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for epoch in range(num_epochs):\n",
        "    # Set the model to training mode\n",
        "    model.train()\n",
        "\n",
        "    # Initialize the training loss\n",
        "    train_loss = 0\n",
        "\n",
        "    for batch in tqdm(train_dataset_loader, \"Training\", total=len(train_dataset_loader), leave=False):\n",
        "        if current_step % save_steps == 0:\n",
        "            # Evaluate on the validation set if the current step is a multiple of the save steps\n",
        "            print()\n",
        "            print(f\"Validation at step {current_step}...\")\n",
        "            print()\n",
        "\n",
        "            # Set the model to evaluation mode\n",
        "            model.eval()\n",
        "\n",
        "            # Initialize lists to store predictions and labels for validation\n",
        "            predictions, labels = [], []\n",
        "\n",
        "            # Initialize the validation loss\n",
        "            valid_loss = 0\n",
        "\n",
        "            for batch in valid_dataset_loader:\n",
        "                # Get the batch data\n",
        "                pixel_values = batch[\"pixel_values\"]\n",
        "                label_ids = batch[\"labels\"]\n",
        "\n",
        "                # Perform forward pass\n",
        "                outputs = model(pixel_values=pixel_values, labels=label_ids)\n",
        "\n",
        "                # Calculate the loss\n",
        "                loss = outputs.loss\n",
        "                valid_loss += loss.item()\n",
        "\n",
        "                # Free the GPU memory\n",
        "                logits = outputs.logits.detach().cpu()\n",
        "\n",
        "                # Add the predictions to the list\n",
        "                predictions.extend(logits.argmax(dim=-1).tolist())\n",
        "\n",
        "                # Add the labels to the list\n",
        "                labels.extend(label_ids.tolist())\n",
        "\n",
        "            # Create EvalPrediction object for compute_metrics function\n",
        "            eval_prediction = EvalPrediction(predictions=predictions, label_ids=labels)\n",
        "\n",
        "            # Compute the metrics\n",
        "            metrics = compute_metrics(eval_prediction)\n",
        "\n",
        "            # Print the statistics\n",
        "            print()\n",
        "            print(f\"Epoch: {epoch}, Step: {current_step}, Train Loss: {train_loss / save_steps:.4f}, \" +\n",
        "                  f\"Valid Loss: {valid_loss / n_valid_steps:.4f}, BLEU: {metrics['bleu']:.4f}, \" +\n",
        "                  f\"ROUGE-1: {metrics['rouge1']:.4f}, ROUGE-2: {metrics['rouge2']:.4f}, ROUGE-L: {metrics['rougeL']:.4f}\")\n",
        "            print()\n",
        "\n",
        "            # Log the metrics to TensorBoard\n",
        "            summary_writer.add_scalar(\"valid_loss\", valid_loss / n_valid_steps, global_step=current_step)\n",
        "            summary_writer.add_scalar(\"bleu\", metrics[\"bleu\"], global_step=current_step)\n",
        "            summary_writer.add_scalar(\"rouge1\", metrics[\"rouge1\"], global_step=current_step)\n",
        "            summary_writer.add_scalar(\"rouge2\", metrics[\"rouge2\"], global_step=current_step)\n",
        "            summary_writer.add_scalar(\"rougeL\", metrics[\"rougeL\"], global_step=current_step)\n",
        "\n",
        "            # Save the model\n",
        "            model.save_pretrained(f\"./image-captioning/checkpoint-{current_step}\")\n",
        "            tokenizer.save_pretrained(f\"./image-captioning/checkpoint-{current_step}\")\n",
        "            image_processor.save_pretrained(f\"./image-captioning/checkpoint-{current_step}\")\n",
        "\n",
        "            # Set the model back to train mode\n",
        "            model.train()\n",
        "\n",
        "            # Reset the train and valid loss\n",
        "            train_loss, valid_loss = 0, 0\n",
        "\n",
        "        # Get the batch data and convert them to tensors\n",
        "        pixel_values = batch[\"pixel_values\"]\n",
        "        labels = batch[\"labels\"]\n",
        "\n",
        "        # Perform forward pass\n",
        "        outputs = model(pixel_values=pixel_values, labels=labels)\n",
        "\n",
        "        # Calculate the loss\n",
        "        loss = outputs.loss\n",
        "\n",
        "        # Backward pass\n",
        "        loss.backward()\n",
        "\n",
        "        # Update the weights\n",
        "        optimizer.step()\n",
        "\n",
        "        # Zero the gradients\n",
        "        optimizer.zero_grad()\n",
        "\n",
        "        # Log the loss\n",
        "        loss_value = loss.item()\n",
        "        train_loss += loss_value\n",
        "\n",
        "        # Increment the step\n",
        "        current_step += 1\n",
        "\n",
        "        # Log the training loss to TensorBoard\n",
        "        summary_writer.add_scalar(\"train_loss\", loss_value, global_step=current_step)\n",
        "\n",
        "#The training loop code has been updated with clearer comments to describe each step of the loop. It includes training the model, evaluating on the validation set at specified steps, logging metrics to TensorBoard, saving the model, and updating the training loss."
      ],
      "metadata": {
        "id": "MjnUgjRfgWtU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Loading Best Model"
      ],
      "metadata": {
        "id": "yaJuThWng1Cc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the best model by changing the checkpoint number to the best checkpoint\n",
        "best_checkpoint = 3000\n",
        "best_model = VisionEncoderDecoderModel.from_pretrained(f\"./image-captioning/checkpoint-{best_checkpoint}\").to(device)\n",
        "\n",
        "#The code comment has been updated to explain that the purpose of this code is to load the best model from a specified checkpoint. The checkpoint number is set to the `best_checkpoint` variable, and the model is loaded using the `from_pretrained` method from the `VisionEncoderDecoderModel` class. The loaded model is then assigned to the `best_model` variable and moved to the specified device (GPU in this case)."
      ],
      "metadata": {
        "id": "_6qeBQOkgxly"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Model Evaluation"
      ],
      "metadata": {
        "id": "7U05izIiiQ7x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#The provided code defines a function `get_evaluation_metrics` that takes a `model` and a `dataset` as inputs and returns evaluation metrics. Here's a revised version of the code with clearer comments:\n",
        "\n",
        "def get_evaluation_metrics(model, dataset):\n",
        "    # Set the model to evaluation mode\n",
        "    model.eval()\n",
        "\n",
        "    # Define the dataloader\n",
        "    dataloader = DataLoader(dataset, collate_fn=collate_fn, batch_size=batch_size)\n",
        "\n",
        "    # Calculate the number of testing steps\n",
        "    n_test_steps = len(dataloader)\n",
        "\n",
        "    # Initialize lists to store predictions and labels\n",
        "    predictions, labels = [], []\n",
        "\n",
        "    # Initialize the test loss\n",
        "    test_loss = 0.0\n",
        "\n",
        "    # Iterate over batches in the dataloader\n",
        "    for batch in tqdm(dataloader, \"Evaluating\"):\n",
        "        # Get the batch data\n",
        "        pixel_values = batch[\"pixel_values\"]\n",
        "        label_ids = batch[\"labels\"]\n",
        "\n",
        "        # Perform forward pass\n",
        "        outputs = model(pixel_values=pixel_values, labels=label_ids)\n",
        "\n",
        "        # Get the loss\n",
        "        loss = outputs.loss\n",
        "        test_loss += loss.item()\n",
        "\n",
        "        # Free the GPU memory\n",
        "        logits = outputs.logits.detach().cpu()\n",
        "\n",
        "        # Add the predictions to the list\n",
        "        predictions.extend(logits.argmax(dim=-1).tolist())\n",
        "\n",
        "        # Add the labels to the list\n",
        "        labels.extend(label_ids.tolist())\n",
        "\n",
        "    # Create EvalPrediction object that the compute_metrics function expects\n",
        "    eval_prediction = EvalPrediction(predictions=predictions, label_ids=labels)\n",
        "\n",
        "    # Compute the evaluation metrics\n",
        "    metrics = compute_metrics(eval_prediction)\n",
        "\n",
        "    # Add the test_loss to the metrics\n",
        "    metrics[\"test_loss\"] = test_loss / n_test_steps\n",
        "\n",
        "    return metrics\n",
        "\n",
        "#The revised comments provide clearer explanations of each step in the function."
      ],
      "metadata": {
        "id": "ih2Z8Pw8haE9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The code `metrics = get_evaluation_metrics(best_model, test_dataset)` calls the `get_evaluation_metrics` function with the `best_model` and `test_dataset` as inputs, and assigns the returned metrics to the `metrics` variable. Finally, `metrics` is printed to display the evaluation metrics.\n",
        "\n",
        "metrics = get_evaluation_metrics(best_model, test_dataset)\n",
        "metrics"
      ],
      "metadata": {
        "id": "F4T4ngfZhs-n"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The code `finetuned_metrics = get_evaluation_metrics(finetuned_model, test_dataset)` calls the `get_evaluation_metrics` function with the `finetuned_model` and `test_dataset` as inputs, and assigns the returned metrics to the `finetuned_metrics` variable. Finally, `finetuned_metrics` is printed to display the evaluation metrics.\n",
        "\n",
        "finetuned_metrics = get_evaluation_metrics(finetuned_model, test_dataset)\n",
        "finetuned_metrics"
      ],
      "metadata": {
        "id": "t0U_CQ2xh1ju"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Image Captioning Pipeline"
      ],
      "metadata": {
        "id": "lk_VQOBuiYv-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#The provided code sets up an image captioning pipeline using the Hugging Face Transformers library. The pipeline is initialized with the `\"image-to-text\"` task and the `\"Abdou/vit-swin-base-224-gpt2-image-captioning\"` model. Here's the updated code:\n",
        "\n",
        "# Import necessary libraries\n",
        "from transformers import pipeline\n",
        "\n",
        "# Create the image captioning pipeline\n",
        "image_captioner = pipeline(\"image-to-text\", model=\"Abdou/vit-swin-base-224-gpt2-image-captioning\")\n",
        "\n",
        "# Move the model to the specified device (e.g., GPU)\n",
        "image_captioner.model = image_captioner.model.to(device)\n",
        "\n",
        "#The code comment explains that the purpose is to set up an image captioning pipeline using the specified model and move the model to the specified device for inference."
      ],
      "metadata": {
        "id": "Y68u_d-gh5NK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_evaluation_metrics(image_captioner.model, test_dataset)"
      ],
      "metadata": {
        "id": "D2uBdyaNiJLV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The provided code defines a function `show_image_and_captions` that takes a URL as input. It displays the image, generates captions using different models, and prints the captions. Here's the revised code with clearer comments:\n",
        "\n",
        "def show_image_and_captions(url):\n",
        "    # Get the image and display it\n",
        "    display(load_image(url))\n",
        "\n",
        "    # Generate captions using different models\n",
        "    our_caption = get_caption(best_model, image_processor, tokenizer, url)\n",
        "    finetuned_caption = get_caption(finetuned_model, finetuned_image_processor, finetuned_tokenizer, url)\n",
        "    pipeline_caption = get_caption(image_captioner.model, image_processor, tokenizer, url)\n",
        "\n",
        "    # Print the captions\n",
        "    print(f\"Our caption: {our_caption}\")\n",
        "    print(f\"nlpconnect/vit-gpt2-image-captioning caption: {finetuned_caption}\")\n",
        "    print(f\"Abdou/vit-swin-base-224-gpt2-image-captioning caption: {pipeline_caption}\")\n",
        "\n",
        "#The updated comments provide clearer explanations of each step in the function."
      ],
      "metadata": {
        "id": "FJBHxwRUjGzP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The `show_image_and_captions()` function displays the image from the provided URL and generates captions using different models. Here's the updated code:\n",
        "\n",
        "show_image_and_captions(\"http://images.cocodataset.org/test-stuff2017/000000000001.jpg\")\n",
        "\n",
        "#Running this code will display the image and print the captions generated by the `best_model`, `finetuned_model`, and `image_captioner.model` for the given image URL."
      ],
      "metadata": {
        "id": "D0CwgigBjWuj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "show_image_and_captions(\"http://images.cocodataset.org/test-stuff2017/000000000019.jpg\")"
      ],
      "metadata": {
        "id": "EfH4_ah7j4VH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ADUTTcGy3N0x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The `show_image_and_captions()` function displays the image from the provided URL and generates captions using different models. Here's the updated code:\n",
        "\n",
        "show_image_and_captions(\"http://images.cocodataset.org/test-stuff2017/000000000009.jpg\")\n",
        "\n",
        "#Running this code will display the image and print the captions generated by the `best_model`, `finetuned_model`, and `image_captioner.model` for the given image URL."
      ],
      "metadata": {
        "id": "haTFTrQl3XmE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The `show_image_and_captions()` function displays the image from the provided URL and generates captions using different models. Here's the updated code:\n",
        "\n",
        "show_image_and_captions(\"http://images.cocodataset.org/test-stuff2017/000000000067.jpg\")\n",
        "\n",
        "#Running this code will display the image and print the captions generated by the `best_model`, `finetuned_model`, and `image_captioner.model` for the given image URL."
      ],
      "metadata": {
        "id": "EVRa7hQz3aTa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The `show_image_and_captions()` function displays the image from the provided URL and generates captions using different models. Here's the updated code:\n",
        "\n",
        "show_image_and_captions(\"http://images.cocodataset.org/test-stuff2017/000000000221.jpg\")\n",
        "\n",
        "#Running this code will display the image and print the captions generated by the `best_model`, `finetuned_model`, and `image_captioner.model` for the given image URL."
      ],
      "metadata": {
        "id": "Rwdeu38I3c_u"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "yT9jMT8v3epU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#The `show_image_and_captions()` function displays the image from the provided URL and generates captions using different models. Here's the updated code:\n",
        "\n",
        "show_image_and_captions(\"http://images.cocodataset.org/test-stuff2017/000000000391.jpg\")\n",
        "\n",
        "#Running this code will display the image and print the captions generated by the `best_model`, `finetuned_model`, and `image_captioner.model` for the given image URL."
      ],
      "metadata": {
        "id": "87QH3Iut3fiU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "30Eh3dKR3iIk"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}