TweetEval_hate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Dc2ONrUUi87F"
   },
   "source": [
    "# Usage of TweetEval and Twitter-specific RoBERTa models\n",
    "\n",
    "In this notebook we show how to perform tasks such as masked language modeling, computing tweet similarity or tweet classificationo using our Twitter-specific RoBERTa models.\n",
    "\n",
    "- Paper: [_TweetEval_ benchmark (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf)\n",
    "- Authors: Francesco Barbieri, Jose Camacho-Collados, Luis Espinosa-Anke and Leonardo Neves.\n",
    "- [Github](https://github.com/cardiffnlp/tweeteval)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "J-FFwHN0jj3O"
   },
   "source": [
    "## Preliminaries\n",
    "\n",
    "We define a function to normalize a tweet to the format we used for TweetEval. Note that preprocessing is minimal (replacing user names by `@user` and links by `http`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "gKE0LowmYpTY"
   },
   "outputs": [],
   "source": [
    "def preprocess(text):\n",
    "    new_text = []\n",
    "    for t in text.split(\" \"):\n",
    "        t = '@user' if t.startswith('@') and len(t) > 1 else t\n",
    "        t = 'http' if t.startswith('http') else t\n",
    "        new_text.append(t)\n",
    "    return \" \".join(new_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "JJ480-5vkRNR"
   },
   "source": [
    "We only need to install one dependnecy: the `transformers` library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "42j4PR6vYrfg",
    "outputId": "0e806f16-5f58-4afa-e0d7-94d0bccaadc6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting transformers\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/9c/34/fb092588df61bf33f113ade030d1cbe74fb73a0353648f8dd938a223dce7/transformers-3.5.0-py3-none-any.whl (1.3MB)\n",
      "\u001b[K     |████████████████████████████████| 1.3MB 8.0MB/s \n",
      "\u001b[?25hCollecting tokenizers==0.9.3\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/4c/34/b39eb9994bc3c999270b69c9eea40ecc6f0e97991dba28282b9fd32d44ee/tokenizers-0.9.3-cp36-cp36m-manylinux1_x86_64.whl (2.9MB)\n",
      "\u001b[K     |████████████████████████████████| 2.9MB 11.0MB/s \n",
      "\u001b[?25hRequirement already satisfied: protobuf in /usr/local/lib/python3.6/dist-packages (from transformers) (3.12.4)\n",
      "Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from transformers) (20.4)\n",
      "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.6/dist-packages (from transformers) (2019.12.20)\n",
      "Collecting sacremoses\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7d/34/09d19aff26edcc8eb2a01bed8e98f13a1537005d31e95233fd48216eed10/sacremoses-0.0.43.tar.gz (883kB)\n",
      "\u001b[K     |████████████████████████████████| 890kB 40.8MB/s \n",
      "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from transformers) (2.23.0)\n",
      "Requirement already satisfied: filelock in /usr/local/lib/python3.6/dist-packages (from transformers) (3.0.12)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from transformers) (1.18.5)\n",
      "Collecting sentencepiece==0.1.91\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d4/a4/d0a884c4300004a78cca907a6ff9a5e9fe4f090f5d95ab341c53d28cbc58/sentencepiece-0.1.91-cp36-cp36m-manylinux1_x86_64.whl (1.1MB)\n",
      "\u001b[K     |████████████████████████████████| 1.1MB 42.5MB/s \n",
      "\u001b[?25hRequirement already satisfied: dataclasses; python_version < \"3.7\" in /usr/local/lib/python3.6/dist-packages (from transformers) (0.7)\n",
      "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.6/dist-packages (from transformers) (4.41.1)\n",
      "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf->transformers) (50.3.2)\n",
      "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.6/dist-packages (from protobuf->transformers) (1.15.0)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->transformers) (2.4.7)\n",
      "Requirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers) (7.1.2)\n",
      "Requirement already satisfied: joblib in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers) (0.17.0)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (1.24.3)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (3.0.4)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (2.10)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (2020.6.20)\n",
      "Building wheels for collected packages: sacremoses\n",
      "  Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for sacremoses: filename=sacremoses-0.0.43-cp36-none-any.whl size=893257 sha256=cacea0b549a83d191d5bf52b845623a8bd7a2818d56bcf3231be81ff2a551a99\n",
      "  Stored in directory: /root/.cache/pip/wheels/29/3c/fd/7ce5c3f0666dab31a50123635e6fb5e19ceb42ce38d4e58f45\n",
      "Successfully built sacremoses\n",
      "Installing collected packages: tokenizers, sacremoses, sentencepiece, transformers\n",
      "Successfully installed sacremoses-0.0.43 sentencepiece-0.1.91 tokenizers-0.9.3 transformers-3.5.0\n"
     ]
    }
   ],
   "source": [
    "!pip install transformers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "us58XJGyYpTS"
   },
   "source": [
    "## Computing Tweet Similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "AZq3Q5kKYpTg",
    "outputId": "a2d34be8-eda7-4e47-c281-ddf72fd18ea6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most similar to:  The book was awesome\n",
      "----------------------------------------\n",
      "1 The movie was great\n",
      "2 Just finished reading 'Embeddings in NLP'\n",
      "3 I just ordered fried chicken 🐣\n",
      "4 What time is the next game?\n"
     ]
    }
   ],
   "source": [
    "from transformers import AutoTokenizer, AutoModel, TFAutoModel\n",
    "import numpy as np\n",
    "from scipy.spatial.distance import cosine\n",
    "from collections import defaultdict\n",
    "\n",
    "MODEL = \"cardiffnlp/twitter-roberta-base\"\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL)\n",
    "model = AutoModel.from_pretrained(MODEL)\n",
    "\n",
    "def get_embedding(text):\n",
    "  text = preprocess(text)\n",
    "  encoded_input = tokenizer(text, return_tensors='pt')\n",
    "  features = model(**encoded_input)\n",
    "  features = features[0].detach().cpu().numpy() \n",
    "  features_mean = np.mean(features[0], axis=0) \n",
    "  return features_mean\n",
    "\n",
    "query = \"The book was awesome\"\n",
    "\n",
    "tweets = [\"I just ordered fried chicken 🐣\", \n",
    "          \"The movie was great\", \n",
    "          \"What time is the next game?\", \n",
    "          \"Just finished reading 'Embeddings in NLP'\"]\n",
    "\n",
    "d = defaultdict(int)\n",
    "for tweet in tweets:\n",
    "  sim = 1-cosine(get_embedding(query),get_embedding(tweet))\n",
    "  d[tweet] = sim\n",
    "\n",
    "print('Most similar to: ',query)\n",
    "print('----------------------------------------')\n",
    "for idx,x in enumerate(sorted(d.items(), key=lambda x:x[1], reverse=True)):\n",
    "  print(idx+1,x[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oI6B4lOekYeJ"
   },
   "source": [
    "## Feature Extraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0HALJ3ULdAaK",
    "outputId": "d261cb64-02fb-42de-ab67-8b74cd754a9d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768,)"
      ]
     },
     "execution_count": 21,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from transformers import AutoTokenizer, AutoModel, TFAutoModel\n",
    "import numpy as np\n",
    "\n",
    "MODEL = \"cardiffnlp/twitter-roberta-base\"\n",
    "text = \"Good night 😊\"\n",
    "text = preprocess(text)\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL)\n",
    "\n",
    "encoded_input = tokenizer(text, return_tensors='pt')\n",
    "model = AutoModel.from_pretrained(MODEL)\n",
    "features = model(**encoded_input)\n",
    "features = features[0].detach().cpu().numpy() \n",
    "features_mean = np.mean(features[0], axis=0) \n",
    "\n",
    "\n",
    "features_mean.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ac8A2XgzYpTk"
   },
   "source": [
    "## Masked language modeling\n",
    "\n",
    "Use Twitter-RoBERTA-base to predict words in context using the `fill-mask` pipeline in `transformers`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-pCzp7DIYpTl",
    "outputId": "2dccfcf7-6fe8-492e-8943-cfe1b51d87fa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------------------\n",
      "I am so <mask> 😊\n",
      "1)  happy 0.402\n",
      "2)  excited 0.1441\n",
      "3)  proud 0.143\n",
      "4)  grateful 0.0669\n",
      "5)  blessed 0.0334\n",
      "------------------------------\n",
      "I am so <mask> 😢\n",
      "1)  sad 0.2641\n",
      "2)  sorry 0.1605\n",
      "3)  tired 0.138\n",
      "4)  sick 0.0278\n",
      "5)  hungry 0.0232\n"
     ]
    }
   ],
   "source": [
    "from transformers import pipeline, AutoTokenizer\n",
    "import numpy as np\n",
    "\n",
    "MODEL = \"cardiffnlp/twitter-roberta-base\"\n",
    "fill_mask = pipeline(\"fill-mask\", model=MODEL, tokenizer=MODEL)\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL)\n",
    "\n",
    "def print_candidates():\n",
    "    for i in range(5):\n",
    "        token = tokenizer.decode(candidates[i]['token'])\n",
    "        score = np.round(candidates[i]['score'], 4)\n",
    "        print(f\"{i+1}) {token} {score}\")\n",
    "\n",
    "texts = [\n",
    " \"I am so <mask> 😊\",\n",
    " \"I am so <mask> 😢\" \n",
    "]\n",
    "for text in texts:\n",
    "    t = preprocess(text)\n",
    "    print(f\"{'-'*30}\\n{t}\")\n",
    "    candidates = fill_mask(t)\n",
    "    print_candidates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Is2p3X9iYpTq"
   },
   "source": [
    "## Use TweetEval Classifiers\n",
    "\n",
    "We currently provide the following fine-tuned models for different tweet classification tasks:\n",
    "\n",
    "- emoji prediction (`emoji`)\n",
    "- emotion detection (`emotion`)\n",
    "- hate speech detection (`hate`)\n",
    "- irony detection (`irony`)\n",
    "- offensive language identification (`offensive`)\n",
    "- sentiment analysis (`sentiment`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 213,
     "referenced_widgets": [
      "e0847fcebda84c4d8b00b27234d35bc4",
      "8c7d3e2bd2714e929d6859e15e83003f",
      "9655bb1c674342cfb3ec38378a376729",
      "a5c3c70d67124cd09894d3b52dc33e16",
      "88a7b0479e8c40b6aea4084f8039d4f6",
      "41b12ad69a684cb597594e60355253ae",
      "e7aee59723a5469a9691322d6e124226",
      "683e01b6cd98402783fe062f75177b68",
      "f9c4c6ab3ba449e199d7035bff07a5db",
      "7ede88ead0d449a18ca343d47b723e87",
      "f55b841175a54f7ea34306caf6d775cd",
      "e2f226a69f704168bbbc6fca9df15e23",
      "91abbefb5e734d47a01158aebf46d7ce",
      "df23412503a1413aadacd254b573c315",
      "7a80cfb9bfda407c9ee1b9bd8b11a2f5",
      "b2d0e13e096c49cd9e25bb8a526b1ef7",
      "e958eee9b3db48abae24a1f8be1b5d91",
      "498473ac68aa48c1ba4d5578543a8e2b",
      "c2d4ce2a084b4f19bf7ab624c0a853ea",
      "75528dba634e465992e5b52107f19032",
      "7de2e7e4e8f44dccabc908334f7d1e21",
      "fd2b26c80b8e4807a595ce1ff9881623",
      "eab919bdf6cb499b90a14c297bbc94dc",
      "3b1773e755ca402f98b5033ed4af1b7a",
      "2151898d3e1c47de9e681c8b7b8779e4",
      "6e236c3f5e084a108811f1e6a32cb990",
      "627335e621884fb6957b7b6731339148",
      "02f91bc3545b48808e4812d13f480875",
      "2b6e1410b17543afb5dbf619666e83bd",
      "0a1beafebb954a498d7a1cccc7cee445",
      "db546face47140a59dcfc21539492c51",
      "25a58cab43ef453d8b9de797925f32fa"
     ]
    },
    "id": "F0xUNJwSYpTq",
    "outputId": "858885f3-cc50-48ec-9b57-db533a98bb52"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0847fcebda84c4d8b00b27234d35bc4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=779.0, style=ProgressStyle(description_…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f9c4c6ab3ba449e199d7035bff07a5db",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=898822.0, style=ProgressStyle(descripti…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e958eee9b3db48abae24a1f8be1b5d91",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=456318.0, style=ProgressStyle(descripti…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2151898d3e1c47de9e681c8b7b8779e4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=150.0, style=ProgressStyle(description_…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from transformers import AutoModelForSequenceClassification\n",
    "from transformers import TFAutoModelForSequenceClassification\n",
    "from transformers import AutoTokenizer\n",
    "import numpy as np\n",
    "from scipy.special import softmax\n",
    "import csv\n",
    "import urllib.request\n",
    "\n",
    "task='hate'\n",
    "MODEL = f\"cardiffnlp/twitter-roberta-base-{task}\"\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "g8_fEezTYpTu"
   },
   "outputs": [],
   "source": [
    "# download label mapping\n",
    "mapping_link = f\"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/{task}/mapping.txt\"\n",
    "with urllib.request.urlopen(mapping_link) as f:\n",
    "    html = f.read().decode('utf-8').split(\"\\n\")\n",
    "    csvreader = csv.reader(html, delimiter='\\t')\n",
    "labels = [row[1] for row in csvreader if len(row) > 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 66,
     "referenced_widgets": [
      "b9024a2af0984f0a99d7542077d5d183",
      "2adcfba8e99b4ceeae8cea6c4060c58d",
      "77dad5843dbc43eab577b4cef273228d",
      "d647beae5bff452ebc5e4dbc9974d63e",
      "7045c78b1b164511b62e20bec70f1639",
      "ca9214bf42bf49d99bcec60cc60c6e9c",
      "6d41343536e54dd3804ace50e15b7953",
      "1e5e9065e1ed4adbb1b451672ca4e793"
     ]
    },
    "id": "YQ_EGuYaYpTy",
    "outputId": "ed18d44d-b997-48d3-b894-a8d6482e3cad"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b9024a2af0984f0a99d7542077d5d183",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=498682569.0, style=ProgressStyle(descri…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model = AutoModelForSequenceClassification.from_pretrained(MODEL)\n",
    "\n",
    "text = \"Good night 😊\"\n",
    "text = preprocess(text)\n",
    "encoded_input = tokenizer(text, return_tensors='pt')\n",
    "output = model(**encoded_input)\n",
    "scores = output[0][0].detach().numpy()\n",
    "scores = softmax(scores)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mUG9EAWIYpT1",
    "outputId": "b59e5aa2-878a-4773-c676-3a9049a83307"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1) joy 0.9061\n",
      "2) optimism 0.0407\n",
      "3) sadness 0.0406\n",
      "4) anger 0.0126\n"
     ]
    }
   ],
   "source": [
    "ranking = np.argsort(scores)\n",
    "ranking = ranking[::-1]\n",
    "for i in range(scores.shape[0]):\n",
    "    l = labels[ranking[i]]\n",
    "    s = scores[ranking[i]]\n",
    "    print(f\"{i+1}) {l} {np.round(float(s), 4)}\")"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "TweetEval Tutorial",
   "provenance": []
  },
  "environment": {
   "name": "tf2-gpu.2-1.m46",
   "type": "gcloud",
   "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-1:m46"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "02f91bc3545b48808e4812d13f480875": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_25a58cab43ef453d8b9de797925f32fa",
      "placeholder": "​",
      "style": "IPY_MODEL_db546face47140a59dcfc21539492c51",
      "value": " 150/150 [00:00&lt;00:00, 233B/s]"
     }
    },
    "0a1beafebb954a498d7a1cccc7cee445": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "1e5e9065e1ed4adbb1b451672ca4e793": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "2151898d3e1c47de9e681c8b7b8779e4": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_627335e621884fb6957b7b6731339148",
       "IPY_MODEL_02f91bc3545b48808e4812d13f480875"
      ],
      "layout": "IPY_MODEL_6e236c3f5e084a108811f1e6a32cb990"
     }
    },
    "25a58cab43ef453d8b9de797925f32fa": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "2adcfba8e99b4ceeae8cea6c4060c58d": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "2b6e1410b17543afb5dbf619666e83bd": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": "initial"
     }
    },
    "3b1773e755ca402f98b5033ed4af1b7a": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "41b12ad69a684cb597594e60355253ae": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "498473ac68aa48c1ba4d5578543a8e2b": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "627335e621884fb6957b7b6731339148": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "Downloading: 100%",
      "description_tooltip": null,
      "layout": "IPY_MODEL_0a1beafebb954a498d7a1cccc7cee445",
      "max": 150,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_2b6e1410b17543afb5dbf619666e83bd",
      "value": 150
     }
    },
    "683e01b6cd98402783fe062f75177b68": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "6d41343536e54dd3804ace50e15b7953": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "6e236c3f5e084a108811f1e6a32cb990": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "7045c78b1b164511b62e20bec70f1639": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": "initial"
     }
    },
    "75528dba634e465992e5b52107f19032": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_3b1773e755ca402f98b5033ed4af1b7a",
      "placeholder": "​",
      "style": "IPY_MODEL_eab919bdf6cb499b90a14c297bbc94dc",
      "value": " 456k/456k [00:01&lt;00:00, 251kB/s]"
     }
    },
    "77dad5843dbc43eab577b4cef273228d": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "Downloading: 100%",
      "description_tooltip": null,
      "layout": "IPY_MODEL_ca9214bf42bf49d99bcec60cc60c6e9c",
      "max": 498682569,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_7045c78b1b164511b62e20bec70f1639",
      "value": 498682569
     }
    },
    "7a80cfb9bfda407c9ee1b9bd8b11a2f5": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "7de2e7e4e8f44dccabc908334f7d1e21": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": "initial"
     }
    },
    "7ede88ead0d449a18ca343d47b723e87": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "88a7b0479e8c40b6aea4084f8039d4f6": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": "initial"
     }
    },
    "8c7d3e2bd2714e929d6859e15e83003f": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "91abbefb5e734d47a01158aebf46d7ce": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": "initial"
     }
    },
    "9655bb1c674342cfb3ec38378a376729": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "Downloading: 100%",
      "description_tooltip": null,
      "layout": "IPY_MODEL_41b12ad69a684cb597594e60355253ae",
      "max": 779,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_88a7b0479e8c40b6aea4084f8039d4f6",
      "value": 779
     }
    },
    "a5c3c70d67124cd09894d3b52dc33e16": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_683e01b6cd98402783fe062f75177b68",
      "placeholder": "​",
      "style": "IPY_MODEL_e7aee59723a5469a9691322d6e124226",
      "value": " 779/779 [00:00&lt;00:00, 974B/s]"
     }
    },
    "b2d0e13e096c49cd9e25bb8a526b1ef7": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "b9024a2af0984f0a99d7542077d5d183": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_77dad5843dbc43eab577b4cef273228d",
       "IPY_MODEL_d647beae5bff452ebc5e4dbc9974d63e"
      ],
      "layout": "IPY_MODEL_2adcfba8e99b4ceeae8cea6c4060c58d"
     }
    },
    "c2d4ce2a084b4f19bf7ab624c0a853ea": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "Downloading: 100%",
      "description_tooltip": null,
      "layout": "IPY_MODEL_fd2b26c80b8e4807a595ce1ff9881623",
      "max": 456318,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_7de2e7e4e8f44dccabc908334f7d1e21",
      "value": 456318
     }
    },
    "ca9214bf42bf49d99bcec60cc60c6e9c": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "d647beae5bff452ebc5e4dbc9974d63e": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_1e5e9065e1ed4adbb1b451672ca4e793",
      "placeholder": "​",
      "style": "IPY_MODEL_6d41343536e54dd3804ace50e15b7953",
      "value": " 499M/499M [00:08&lt;00:00, 61.0MB/s]"
     }
    },
    "db546face47140a59dcfc21539492c51": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "df23412503a1413aadacd254b573c315": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "e0847fcebda84c4d8b00b27234d35bc4": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_9655bb1c674342cfb3ec38378a376729",
       "IPY_MODEL_a5c3c70d67124cd09894d3b52dc33e16"
      ],
      "layout": "IPY_MODEL_8c7d3e2bd2714e929d6859e15e83003f"
     }
    },
    "e2f226a69f704168bbbc6fca9df15e23": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_b2d0e13e096c49cd9e25bb8a526b1ef7",
      "placeholder": "​",
      "style": "IPY_MODEL_7a80cfb9bfda407c9ee1b9bd8b11a2f5",
      "value": " 899k/899k [00:02&lt;00:00, 323kB/s]"
     }
    },
    "e7aee59723a5469a9691322d6e124226": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "e958eee9b3db48abae24a1f8be1b5d91": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_c2d4ce2a084b4f19bf7ab624c0a853ea",
       "IPY_MODEL_75528dba634e465992e5b52107f19032"
      ],
      "layout": "IPY_MODEL_498473ac68aa48c1ba4d5578543a8e2b"
     }
    },
    "eab919bdf6cb499b90a14c297bbc94dc": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "f55b841175a54f7ea34306caf6d775cd": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "Downloading: 100%",
      "description_tooltip": null,
      "layout": "IPY_MODEL_df23412503a1413aadacd254b573c315",
      "max": 898822,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_91abbefb5e734d47a01158aebf46d7ce",
      "value": 898822
     }
    },
    "f9c4c6ab3ba449e199d7035bff07a5db": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_f55b841175a54f7ea34306caf6d775cd",
       "IPY_MODEL_e2f226a69f704168bbbc6fca9df15e23"
      ],
      "layout": "IPY_MODEL_7ede88ead0d449a18ca343d47b723e87"
     }
    },
    "fd2b26c80b8e4807a595ce1ff9881623": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}