Final_Project_ML_DL_Sentiment_Amazon.ipynb

{"cells":[{"cell_type":"markdown","id":"48470cbd","metadata":{"id":"48470cbd"},"source":["\n","# Projeto Final – Machine Learning e Deep Learning (PLN: Análise de Sentimentos)\n","\n","**Professor Rodrigo aqui!**  \n","Este notebook é o guia didático para o **Projeto Final**. Vamos construir uma solução completa de **Classificação de Sentimentos** usando avaliações da Amazon (**dataset `amazon_polarity` do Hugging Face**), cobrindo todo o pipeline:\n","\n","1. Definição do problema e escolha do dataset  \n","2. Coleta/limpeza, preparação e divisão do conjunto de dados  \n","3. **Baseline** com *Machine Learning tradicional* (TF-IDF + Regressão Logística)  \n","4. Modelo de *Deep Learning* com **LSTM (PyTorch)**  \n","5. Avaliação com métricas adequadas (Accuracy, F1, Matriz de Confusão)  \n","6. Exportação dos artefatos e **deploy** com **Gradio** (+ passo a passo para publicar no **Hugging Face Spaces**)  \n","\n","> **Importante**: Execute célula por célula e leia as explicações. Onde houver blocos \"Experimente\", preencha as suas observações. Esse notebook pode ser entregue como parte dos **entregáveis** do projeto.\n","\n","---\n","\n","## Objetivo Geral\n","Desenvolver uma solução prática de **ML + DL** aplicada a um problema de **PLN** (classificação binária de sentimento), integrando desde a preparação até o deploy em ambiente público gratuito.\n","\n","## Entregáveis\n","- Notebook **.ipynb** com comentários e resultados  \n","- **README.md** do projeto (modelo fornecido)  \n","- Deploy funcional com **Gradio** (arquivos `app.py` e `requirements.txt` prontos)  \n","- Relatório (5–8 páginas) — usar o modelo do README como base\n","\n","---\n","\n","> **Dica para execução no Google Colab**: ative GPU (Menu: Runtime → Change runtime type → **GPU**).\n"]},{"cell_type":"code","execution_count":1,"id":"f8e7be1b","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f8e7be1b","executionInfo":{"status":"ok","timestamp":1762969993412,"user_tz":180,"elapsed":9,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"4eb46da3-fe2b-42ea-e64b-8f8baf9a54b8"},"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Ambiente pronto (ajuste as instalações se necessário).\n"]}],"source":["\n","# @title Instalação de dependências (Colab)\n","# Se estiver no Colab, descomente as linhas abaixo para instalar.\n","# Em ambiente local com venv, rode `pip install -r requirements.txt`.\n","\n","# !pip install -q datasets==3.0.1 scikit-learn==1.5.2 matplotlib==3.9.2 torch==2.4.1 \\\n","#                   pandas==2.2.2 numpy==2.1.3 gradio==5.7.1 tqdm==4.66.5\n","\n","print(\"✅ Ambiente pronto (ajuste as instalações se necessário).\")\n"]},{"cell_type":"code","execution_count":2,"id":"99d5bff0","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"99d5bff0","executionInfo":{"status":"ok","timestamp":1762970009339,"user_tz":180,"elapsed":14119,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"d92a2d96-5ff8-4353-9bc8-5fb77793976b"},"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Imports OK\n"]}],"source":["\n","# @title Importações centrais\n","import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from tqdm import tqdm\n","from datasets import load_dataset\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.feature_extraction.text import TfidfVectorizer\n","from sklearn.linear_model import LogisticRegression\n","from sklearn.ensemble import RandomForestClassifier\n","from sklearn.pipeline import Pipeline\n","from sklearn.metrics import accuracy_score, f1_score, confusion_matrix, classification_report\n","import joblib\n","import os\n","import torch\n","import torch.nn as nn\n","from torch.utils.data import Dataset, DataLoader\n","\n","SEED = 42\n","np.random.seed(SEED)\n","torch.manual_seed(SEED)\n","print(\"✅ Imports OK\")\n"]},{"cell_type":"markdown","id":"dde7d907","metadata":{"id":"dde7d907"},"source":["\n","## 1) Definição do Problema\n","\n","**Tarefa**: Classificar avaliações de produtos como **positivas (1)** ou **negativas (-1)**.  \n","**Dataset**: `amazon_polarity` (Hugging Face Datasets).  \n","**Justificativa**: análise de sentimentos é amplamente usada em e-commerce e suporte a decisões.\n","\n","> **Critérios de avaliação**: accuracy, F1, matriz de confusão; comparação entre baseline (ML) e LSTM (DL).\n"]},{"cell_type":"code","execution_count":3,"id":"4b875e79","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":603,"referenced_widgets":["28a5100c868e4bc3b6d431aa7688ba7a","00476f0ede5f42518937ded9861f890d","ddeeff0fcbb4456c979f2201f320214c","543ad9465d6648ab97be1dbe41f156e6","55461d8ba84348c3901790a2dadcdea9","3856d00179e94af4a2d7dd424b3d113d","f30de77d68c74cf3b184bb3aaaea17c9","f2b6656db10c4338b4f818bb55e5659e","e012b659e26641aa85c951cc4876cbf2","f4e0943491f44bd485b79b0bcd72efc9","d8e6f0892f534701aac8562a8facce65","9bd673d2112243dcb341fed4aae6c3f8","20bf68fc635d432491410f013d62f8c4","765197e5c33e4115b10971a4bdd7dff6","7ba46ef5b73b4935bf0414bbefbb1ea8","d867c891e22742b190385a5f5b6cab06","491902b8c0c2489e8c6fa98ce9d0022b","9ab2aef3590e42f68fdc42fd7026e52e","6583aa1322e64d18aa7524edc924d6fa","a8d1abe3674e400d8564b1de42638167","dca974250abb407598132820b77585c9","2ba1e1dc1e4a4a9ab198212aee0378a3","6caccdc5d75e4a81871295aecfb64cf9","ab18a8aceb0f48438e5d8385dca3d764","b39831b3d74b4eb383c463f62b9ce7e2","a35cdc3d467a4a5c8d0d2c354bee0c6f","9fb9ed28d4f544b3aee454a16d9b5495","668751256fc74ac180247a5b6102acc6","b92ae0dbfa27484eae49fadbc98f0623","1f2ee0e09bf54798ab342989fa6b7f92","9730559d33f242398d26049721b12e38","12af04bdf93b4521b33ed1d6a0fba277","5b1b65f91fe047ff94fc3aa3ab36bd5e","97ffdaf1a2884498b299f4bae2525871","67c2989964814cba9c8f6244a3628238","c2523028bfa2418981949e9c98a03e8a","e8aa0273403642348b5f4683f2127b66","cd9edefbeab243c99b59aa73f2f2ffa3","d8f7ae158dfc4930b51b36e01d79b8f7","444987e578c74b01bf676339aa5a4d26","e9f158d656b84a298989af09ace6dab6","3aa401d9a36341a9abafcaf65a8b2c13","d343029e050049559a00af725f490210","9af10f88deed4579af2117027674b119","e9a01b058e2749188c99bbfd23fb736e","7c3dc9d863c0443f8bf57412843bbf8a","c316f1edf28547b39b63ff2b14824595","785fce8ae5bc4d0083e07b7e33f961be","846c851e844b43958115ce50e6742b27","4776d0f51cf940e7a7bd8dedd7d6827c","542be3d908d74e13a80b882489d3368c","29fc8dbc59a24987b938b1e743f1468d","528fa4fa13df48528065106df45a1aa9","3134b0148fa14515944adf614c48967e","910d8f2558fb4131945b7c9c9dc54ddd","d631b91838304564b15e8c55f4635118","906f3cf697eb4c90933abf098a3a9d6f","00f23a6ac7ef4142bb02aa2debcf418c","86069c48f2b142bfa7eaf6536db55fa0","b40739dd55a24772965c513dff8edcbb","98ce5ff4c9414b0eb7f84e4c3ee2c07e","44426a8f63224f2da6e648daafc3b212","ba79ed97383045c4bacec2949f746d97","d2da244ca94741afb2e5a667f72bf7d2","381698061555465c810119026d30096e","3845387a395a450493bad84d1da44887","c2f417686f7449baa20384f1fc23d48d","fd4d17f20ef6411f9bf039fef31e1b74","2734cb9e8f3147dbb34a71ec81dd2003","57fbb053fbae4befa715a9fa25a43969","b8b2ce55c87247fcb07a0916b08f9f7e","6377cb99d22644ac98f872739d06b06e","586bbe331f654b3a9db794f8619d0913","239f61adfdfc4cac9f724e0941da864f","ce94451266a345a080cbfc0f6d596c0d","25984323a64d42c1a47ff6d0fa11e843","aa006c2fd45d40a7a0ee465d2763bfaa","e36090c489754453b720f76d267dfa7d","db24acaf110a4d6ab4e1f44d6ea6a2f4","2000cb587d754f5e98e48425e5e4f672","96a1e57064a14eaeabc5907eeaaac6ad","dc8a27479cc94b64af0dece399644c1f","ae54fa359bcf423a96be36acecb5014b","0d54c1f30a4c4159a791c9b2ed56bec9","2ae7955968494ea2ba72c3a2d6090cf9","d8ec7771d4314de194e2217c5a93fe9c","a6c3a66c4b304673a5744bca05fcd100","20e9697419c04643886a325cea3821a9"]},"id":"4b875e79","executionInfo":{"status":"ok","timestamp":1762970172126,"user_tz":180,"elapsed":159871,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"a4aa81a7-efc5-4aa8-f4d9-2d821e079f99"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n","  warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["README.md: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"28a5100c868e4bc3b6d431aa7688ba7a"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["amazon_polarity/train-00000-of-00004.par(…):   0%|          | 0.00/260M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9bd673d2112243dcb341fed4aae6c3f8"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["amazon_polarity/train-00001-of-00004.par(…):   0%|          | 0.00/258M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6caccdc5d75e4a81871295aecfb64cf9"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["amazon_polarity/train-00002-of-00004.par(…):   0%|          | 0.00/255M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"97ffdaf1a2884498b299f4bae2525871"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["amazon_polarity/train-00003-of-00004.par(…):   0%|          | 0.00/254M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e9a01b058e2749188c99bbfd23fb736e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["amazon_polarity/test-00000-of-00001.parq(…):   0%|          | 0.00/117M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"d631b91838304564b15e8c55f4635118"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating train split:   0%|          | 0/3600000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"c2f417686f7449baa20384f1fc23d48d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating test split:   0%|          | 0/400000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e36090c489754453b720f76d267dfa7d"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Tamanhos:  9600 2400 6000\n"]},{"output_type":"execute_result","data":{"text/plain":["                                                text  label\n","0  This product consists of a piece of thin flexi...      0\n","1  Even on the lowest setting, the toast is too d...      0\n","2  I enjoyed this disc. The video is stunning. I ...      1\n","3  The authors pretend that parents neither die n...      0\n","4  Might as well just use a knife, this product h...      0"],"text/html":["\n","  <div id=\"df-ce9007d9-db63-486d-b75c-8318704d3d3f\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>label</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>This product consists of a piece of thin flexi...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Even on the lowest setting, the toast is too d...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>I enjoyed this disc. The video is stunning. I ...</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>The authors pretend that parents neither die n...</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Might as well just use a knife, this product h...</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ce9007d9-db63-486d-b75c-8318704d3d3f')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-ce9007d9-db63-486d-b75c-8318704d3d3f button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-ce9007d9-db63-486d-b75c-8318704d3d3f');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","    <div id=\"df-352eafa9-146b-46d4-a589-0cc4d9676c0f\">\n","      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-352eafa9-146b-46d4-a589-0cc4d9676c0f')\"\n","                title=\"Suggest charts\"\n","                style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","      </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","      <script>\n","        async function quickchart(key) {\n","          const quickchartButtonEl =\n","            document.querySelector('#' + key + ' button');\n","          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","          quickchartButtonEl.classList.add('colab-df-spinner');\n","          try {\n","            const charts = await google.colab.kernel.invokeFunction(\n","                'suggestCharts', [key], {});\n","          } catch (error) {\n","            console.error('Error during call to suggestCharts:', error);\n","          }\n","          quickchartButtonEl.classList.remove('colab-df-spinner');\n","          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","        }\n","        (() => {\n","          let quickchartButtonEl =\n","            document.querySelector('#df-352eafa9-146b-46d4-a589-0cc4d9676c0f button');\n","          quickchartButtonEl.style.display =\n","            google.colab.kernel.accessAllowed ? 'block' : 'none';\n","        })();\n","      </script>\n","    </div>\n","\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"df_train","summary":"{\n  \"name\": \"df_train\",\n  \"rows\": 12000,\n  \"fields\": [\n    {\n      \"column\": \"text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 12000,\n        \"samples\": [\n          \"If your home library shelves have good old Missionary stories, than this is a MUST READ and MUST HAVE!\",\n          \"The story of Mary Pinchot Meyer is a lot more interesting than this book. Occasionally, the author tries to recreate scenes and conversations on a pretty slim set of facts, supposing what may have motivated very private people she never met.Oh, and Dean Acheson was not *Under-Secretary* of State! Did this woman read anything about diplomacy, the Cold War, or Washington society between 1940 and 1965? How could she and her copy editor not know that Dean Acheson was our Secretary of State, and a major figure in post-war Washington?Washington was a very exciting place to be -- but you won't get the full description of those times in this book. too bad.\",\n          \"Deb gets a taste at temptation from a man who knows what he wants. This book had me hooked. I couldn't put it down until I had to force my self to sleep. This is a great book to read.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":3}],"source":["\n","# @title Coleta e preparação dos dados (amostragem para execução rápida)\n","# Carrega partições 'train' e 'test' do dataset amazon_polarity\n","ds_train = load_dataset(\"amazon_polarity\", split=\"train\")\n","ds_test  = load_dataset(\"amazon_polarity\", split=\"test\")\n","\n","# Convertendo para DataFrame\n","df_train = pd.DataFrame({\"text\": ds_train[\"content\"], \"label\": ds_train[\"label\"]})\n","df_test  = pd.DataFrame({\"text\": ds_test[\"content\"],  \"label\": ds_test[\"label\"]})\n","\n","# O dataset possui rótulos {0,1}; vamos mapeá-los para {-1, +1} opcionalmente para leitura humana\n","label_map = {0:0, 1:1}  # manter 0/1 para facilitar as métricas de sklearn\n","df_train[\"label\"] = df_train[\"label\"].map(label_map)\n","df_test[\"label\"]  = df_test[\"label\"].map(label_map)\n","\n","# Amostragem para acelerar (ajuste conforme sua GPU/tempo):\n","N_TRAIN = 12000   # experimente 50k+ com GPU boa\n","N_TEST  = 6000\n","df_train = df_train.sample(n=N_TRAIN, random_state=SEED).reset_index(drop=True)\n","df_test  = df_test.sample(n=N_TEST,  random_state=SEED).reset_index(drop=True)\n","\n","# Split treino/val\n","train_text, val_text, train_y, val_y = train_test_split(\n","    df_train[\"text\"].values, df_train[\"label\"].values, test_size=0.2, random_state=SEED, stratify=df_train[\"label\"].values\n",")\n","\n","print(\"Tamanhos: \", len(train_text), len(val_text), len(df_test))\n","df_train.head()\n"]},{"cell_type":"markdown","id":"ed2e0c79","metadata":{"id":"ed2e0c79"},"source":["\n","## 2) Baseline com Machine Learning Tradicional\n","\n","Vamos iniciar com um pipeline simples: **TF-IDF** para vetorização + **Regressão Logística**.  \n","Depois, comparamos com um **Random Forest** para observar diferenças.\n"]},{"cell_type":"code","execution_count":4,"id":"d5d7ba98","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":767},"id":"d5d7ba98","executionInfo":{"status":"ok","timestamp":1762970177123,"user_tz":180,"elapsed":4992,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"5679da6c-2a82-49d9-a449-868739cf5554"},"outputs":[{"output_type":"stream","name":"stdout","text":["Val Accuracy: 0.8458333333333333\n","Val F1: 0.8458344040095377\n","\n","Test Accuracy: 0.8528333333333333\n","Test F1: 0.8528318248045601\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Relatório de Classificação (Teste):\n","\n","              precision    recall  f1-score   support\n","\n","           0       0.85      0.85      0.85      2984\n","           1       0.85      0.86      0.85      3016\n","\n","    accuracy                           0.85      6000\n","   macro avg       0.85      0.85      0.85      6000\n","weighted avg       0.85      0.85      0.85      6000\n","\n"]}],"source":["\n","# @title Treino e avaliação: TF-IDF + Regressão Logística\n","baseline_pipe = Pipeline([\n","    (\"tfidf\", TfidfVectorizer(max_features=40000, ngram_range=(1,2))),\n","    (\"clf\", LogisticRegression(max_iter=1000, n_jobs=None))\n","])\n","\n","baseline_pipe.fit(train_text, train_y)\n","\n","val_pred = baseline_pipe.predict(val_text)\n","test_pred = baseline_pipe.predict(df_test[\"text\"].values)\n","\n","print(\"Val Accuracy:\", accuracy_score(val_y, val_pred))\n","print(\"Val F1:\", f1_score(val_y, val_pred, average=\"weighted\"))\n","print(\"\\nTest Accuracy:\", accuracy_score(df_test[\"label\"].values, test_pred))\n","print(\"Test F1:\", f1_score(df_test[\"label\"].values, test_pred, average=\"weighted\"))\n","\n","# Matriz de confusão (teste)\n","cm = confusion_matrix(df_test[\"label\"].values, test_pred)\n","plt.figure()\n","plt.imshow(cm, cmap='Blues')\n","plt.title(\"Matriz de Confusão - Baseline (Teste)\")\n","plt.xlabel(\"Predito\")\n","plt.ylabel(\"Verdadeiro\")\n","for i in range(cm.shape[0]):\n","    for j in range(cm.shape[1]):\n","        plt.text(j, i, cm[i, j], ha=\"center\", va=\"center\")\n","plt.show()\n","\n","print(\"\\nRelatório de Classificação (Teste):\\n\")\n","print(classification_report(df_test[\"label\"].values, test_pred))\n"]},{"cell_type":"code","execution_count":5,"id":"fbdd4c7a","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fbdd4c7a","executionInfo":{"status":"ok","timestamp":1762970227050,"user_tz":180,"elapsed":39517,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"ef0d3d4f-e530-4400-b827-f6f40168e56c"},"outputs":[{"output_type":"stream","name":"stdout","text":["RF Val Acc: 0.80375  | Val F1: 0.8037507154949158\n","RF Test Acc: 0.8166666666666667  | Test F1: 0.8166639777670223\n"]}],"source":["\n","# @title Comparativo rápido: TF-IDF + RandomForest\n","rf_pipe = Pipeline([\n","    (\"tfidf\", TfidfVectorizer(max_features=30000, ngram_range=(1,1))),\n","    (\"rf\", RandomForestClassifier(n_estimators=200, random_state=SEED, n_jobs=-1))\n","])\n","\n","rf_pipe.fit(train_text, train_y)\n","rf_val = rf_pipe.predict(val_text)\n","rf_test = rf_pipe.predict(df_test[\"text\"].values)\n","\n","print(\"RF Val Acc:\", accuracy_score(val_y, rf_val), \" | Val F1:\", f1_score(val_y, rf_val, average=\"weighted\"))\n","print(\"RF Test Acc:\", accuracy_score(df_test[\"label\"].values, rf_test), \" | Test F1:\", f1_score(df_test[\"label\"].values, rf_test, average=\"weighted\"))\n"]},{"cell_type":"markdown","id":"02952330","metadata":{"id":"02952330"},"source":["\n","> **Experimente:**  \n","> - Aumente/diminua `max_features` do TF-IDF.  \n","> - Troque Regressão Logística por SVM (`LinearSVC`).  \n","> - Compare overfitting entre ML tradicional e DL.  \n",">\n","> **Suas observações:** *(escreva abaixo)*\n"]},{"cell_type":"markdown","id":"22ba8a44","metadata":{"id":"22ba8a44"},"source":["\n","## 3) Deep Learning com LSTM (PyTorch)\n","\n","Vamos construir um pipeline enxuto com **tokenização simples**, **vocab** baseado no treino e uma **LSTM** para classificação binária.  \n","> Para resultados de SOTA, considere **transformers** (BERT, DistilBERT). Aqui focamos nos fundamentos.\n"]},{"cell_type":"code","execution_count":6,"id":"3b9994fb","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3b9994fb","executionInfo":{"status":"ok","timestamp":1762970247215,"user_tz":180,"elapsed":283,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"9c3d6a00-bf75-473a-a7df-e7a21adc9de8"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(30000, 80, 128)"]},"metadata":{},"execution_count":6}],"source":["\n","# @title Tokenização simples + Dataset/Dataloader\n","import re\n","from collections import Counter\n","\n","def basic_tokenize(text):\n","    # minuscula, remove caracteres não alfabéticos exceto apóstrofos básicos, separa por espaços\n","    text = text.lower()\n","    text = re.sub(r\"[^a-z0-9' ]+\", \" \", text)\n","    return text.split()\n","\n","# constrói vocabulário a partir do treino\n","MAX_VOCAB = 30000\n","counter = Counter()\n","for t in train_text:\n","    counter.update(basic_tokenize(t))\n","most_common = counter.most_common(MAX_VOCAB - 2)  # reserva para PAD/UNK\n","itos = [\"<PAD>\", \"<UNK>\"] + [w for w,_ in most_common]\n","stoi = {w:i for i,w in enumerate(itos)}\n","\n","def encode(tokens, max_len=80):\n","    ids = [stoi.get(tok, 1) for tok in tokens]  # 1 = <UNK>\n","    if len(ids) < max_len:\n","        ids = ids + [0] * (max_len - len(ids))  # 0 = <PAD>\n","    else:\n","        ids = ids[:max_len]\n","    return np.array(ids, dtype=np.int64)\n","\n","MAX_LEN = 80\n","\n","class SentimentDataset(Dataset):\n","    def __init__(self, texts, labels):\n","        self.texts = texts\n","        self.labels = labels\n","    def __len__(self):\n","        return len(self.texts)\n","    def __getitem__(self, idx):\n","        x = encode(basic_tokenize(self.texts[idx]), MAX_LEN)\n","        y = int(self.labels[idx])\n","        return torch.tensor(x), torch.tensor(y)\n","\n","train_ds = SentimentDataset(train_text, train_y)\n","val_ds   = SentimentDataset(val_text, val_y)\n","test_ds  = SentimentDataset(df_test[\"text\"].values, df_test[\"label\"].values)\n","\n","BATCH_SIZE = 128\n","train_dl = DataLoader(train_ds, batch_size=BATCH_SIZE, shuffle=True)\n","val_dl   = DataLoader(val_ds, batch_size=BATCH_SIZE)\n","test_dl  = DataLoader(test_ds, batch_size=BATCH_SIZE)\n","\n","len(itos), MAX_LEN, BATCH_SIZE\n"]},{"cell_type":"code","execution_count":7,"id":"71d27538","metadata":{"id":"71d27538","executionInfo":{"status":"ok","timestamp":1762970256057,"user_tz":180,"elapsed":6239,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}}},"outputs":[],"source":["\n","# @title Modelo LSTM\n","class LSTMClassifier(nn.Module):\n","    def __init__(self, vocab_size, embed_dim=128, hidden_dim=128, num_classes=2, num_layers=1, dropout=0.2):\n","        super().__init__()\n","        self.embedding = nn.Embedding(vocab_size, embed_dim, padding_idx=0)\n","        self.lstm = nn.LSTM(embed_dim, hidden_dim, num_layers=num_layers, batch_first=True, dropout=dropout if num_layers>1 else 0.0)\n","        self.dropout = nn.Dropout(dropout)\n","        self.fc = nn.Linear(hidden_dim, num_classes)\n","    def forward(self, x):\n","        emb = self.embedding(x)\n","        out, _ = self.lstm(emb)\n","        h = out[:, -1, :]\n","        h = self.dropout(h)\n","        return self.fc(h)\n","\n","device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n","model = LSTMClassifier(vocab_size=len(itos)).to(device)\n","\n","criterion = nn.CrossEntropyLoss()\n","optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)\n","\n","EPOCHS = 4  # aumente se tiver tempo/GPU\n"]},{"cell_type":"code","execution_count":8,"id":"c639c797","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"c639c797","executionInfo":{"status":"ok","timestamp":1762970263524,"user_tz":180,"elapsed":5935,"user":{"displayName":"Rodrigo Moreira dos Santos","userId":"02453320943127197527"}},"outputId":"12945f34-f293-48bf-d84d-cac7c43eaa5f"},"outputs":[{"output_type":"stream","name":"stderr","text":["Epoch 1/4: 100%|██████████| 75/75 [00:02<00:00, 36.71it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 1 | Loss: 0.6912 | Val Acc: 0.5375 | Val F1: 0.5150\n","✅ Modelo LSTM salvo: lstm_sentiment_best.pt\n"]},{"output_type":"stream","name":"stderr","text":["Epoch 2/4: 100%|██████████| 75/75 [00:01<00:00, 59.83it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 2 | Loss: 0.6679 | Val Acc: 0.5817 | Val F1: 0.5667\n","✅ Modelo LSTM salvo: lstm_sentiment_best.pt\n"]},{"output_type":"stream","name":"stderr","text":["Epoch 3/4: 100%|██████████| 75/75 [00:00<00:00, 81.81it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 3 | Loss: 0.6468 | Val Acc: 0.5354 | Val F1: 0.5129\n"]},{"output_type":"stream","name":"stderr","text":["Epoch 4/4: 100%|██████████| 75/75 [00:00<00:00, 84.28it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Epoch 4 | Loss: 0.6538 | Val Acc: 0.5421 | Val F1: 0.5147\n"]}],"source":["\n","# @title Treino simples + validação\n","def evaluate(model, loader):\n","    model.eval()\n","    ys, ps = [], []\n","    with torch.no_grad():\n","        for xb, yb in loader:\n","            xb, yb = xb.to(device), yb.to(device)\n","            logits = model(xb)\n","            pred = torch.argmax(logits, dim=1)\n","            ys.append(yb.cpu().numpy())\n","            ps.append(pred.cpu().numpy())\n","    ys = np.concatenate(ys)\n","    ps = np.concatenate(ps)\n","    return accuracy_score(ys, ps), f1_score(ys, ps, average=\"weighted\")\n","\n","best_val = 0.0\n","for epoch in range(1, EPOCHS+1):\n","    model.train()\n","    total_loss = 0.0\n","    for xb, yb in tqdm(train_dl, desc=f\"Epoch {epoch}/{EPOCHS}\"):\n","        xb, yb = xb.to(device), yb.to(device)\n","        optimizer.zero_grad()\n","        logits = model(xb)\n","        loss = criterion(logits, yb)\n","        loss.backward()\n","        optimizer.step()\n","        total_loss += loss.item()\n","    val_acc, val_f1 = evaluate(model, val_dl)\n","    print(f\"Epoch {epoch} | Loss: {total_loss/len(train_dl):.4f} | Val Acc: {val_acc:.4f} | Val F1: {val_f1:.4f}\")\n","    if val_acc > best_val:\n","        best_val = val_acc\n","        torch.save({\n","            \"model_state\": model.state_dict(),\n","            \"vocab\": itos,\n","            \"max_len\": MAX_LEN\n","        }, \"lstm_sentiment_best.pt\")\n","        print(\"✅ Modelo LSTM salvo: lstm_sentiment_best.pt\")\n"]},{"cell_type":"code","execution_count":null,"id":"b44eb2e8","metadata":{"id":"b44eb2e8"},"outputs":[],"source":["\n","# @title Avaliação no conjunto de teste\n","# Carrega melhor checkpoint (se houver)\n","if os.path.exists(\"lstm_sentiment_best.pt\"):\n","    ckpt = torch.load(\"lstm_sentiment_best.pt\", map_location=device)\n","    model.load_state_dict(ckpt[\"model_state\"])\n","\n","test_acc, test_f1 = evaluate(model, test_dl)\n","print(\"LSTM Test Accuracy:\", test_acc)\n","print(\"LSTM Test F1:\", test_f1)\n"]},{"cell_type":"markdown","id":"7b866b6f","metadata":{"id":"7b866b6f"},"source":["\n","## 4) Exportação de Artefatos\n","\n","Vamos salvar:\n","- Pipeline TF-IDF + Regressão Logística (`baseline_pipe.pkl`)\n","- Modelo LSTM (`lstm_sentiment_best.pt`) + vocabulário embutido no checkpoint\n","\n","Esses arquivos serão usados no **deploy** (Gradio + Hugging Face Spaces).\n"]},{"cell_type":"code","execution_count":null,"id":"ccf5e781","metadata":{"id":"ccf5e781"},"outputs":[],"source":["\n","# @title Salvar pipeline baseline\n","joblib.dump(baseline_pipe, \"baseline_pipe.pkl\")\n","print(\"✅ Pipeline baseline salvo como baseline_pipe.pkl\")\n","\n","# O LSTM já foi salvo como lstm_sentiment_best.pt durante o treino (melhor época).\n","print(\"✅ Verifique se lstm_sentiment_best.pt foi gerado na etapa anterior.\")\n"]},{"cell_type":"markdown","id":"f5d63f93","metadata":{"id":"f5d63f93"},"source":["\n","## 5) Demonstração com Gradio (local)\n","\n","Abaixo, uma interface mínima com **Gradio**. Para publicar no **Hugging Face Spaces**, usaremos o arquivo `app.py` (já pronto e salvo ao lado deste notebook).\n"]},{"cell_type":"code","execution_count":null,"id":"7efbc3cc","metadata":{"id":"7efbc3cc"},"outputs":[],"source":["\n","# @title Demo local (opcional)\n","# Para executar no notebook, descomente:\n","# import gradio as gr\n","# import torch\n","# import joblib\n","\n","# # Carregar baseline (mais leve para demo)\n","# baseline = joblib.load(\"baseline_pipe.pkl\")\n","\n","# def predict_sentiment(text):\n","#     proba = baseline.predict_proba([text])[0]\n","#     pred = int(np.argmax(proba))\n","#     label = \"positivo\" if pred == 1 else \"negativo\"\n","#     conf = float(np.max(proba))\n","#     return {\"predição\": label, \"confiança\": conf}\n","\n","# demo = gr.Interface(fn=predict_sentiment,\n","#                     inputs=gr.Textbox(label=\"Digite uma avaliação\"),\n","#                     outputs=gr.JSON(label=\"Resultado\"),\n","#                     title=\"Análise de Sentimentos (Baseline)\")\n","# demo.launch()\n","print(\"ℹ️ Use o app.py para deploy no Hugging Face Spaces.\")\n"]},{"cell_type":"markdown","id":"c8454fcd","metadata":{"id":"c8454fcd"},"source":["\n","## 6) Conclusões & Próximos Passos\n","\n","- Comparamos **ML tradicional** (TF-IDF + LR/RF) com uma **LSTM** simples.  \n","- Para melhores resultados, considere **transformers** (ex.: `distilbert-base-uncased` com `transformers`).  \n","- Faça *tuning* de hiperparâmetros (LR, batch size, epochs, max_features, max_len).  \n","- Documente no **Relatório**: escolhas, resultados, limitações e próximos passos.\n","\n","> **Checklist para o Deploy**  \n","> - `baseline_pipe.pkl` e/ou `lstm_sentiment_best.pt` gerados  \n","> - `app.py` pronto (fornecido)  \n","> - `requirements.txt` pronto (fornecido)  \n","> - Criar o **Space** no Hugging Face (template Gradio/Python) e subir os arquivos  \n","> - Preencher o `README.md` com prints e explicações\n"]}],"metadata":{"colab":{"provenance":[],"gpuType":"T4"},"language_info":{"name":"python"},"kernelspec":{"name":"python3","display_name":"Python 3"},"accelerator":"GPU","widgets":{"application/vnd.jupyter.widget-state+json":{"28a5100c868e4bc3b6d431aa7688ba7a":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_00476f0ede5f42518937ded9861f890d","IPY_MODEL_ddeeff0fcbb4456c979f2201f320214c","IPY_MODEL_543ad9465d6648ab97be1dbe41f156e6"],"layout":"IPY_MODEL_55461d8ba84348c3901790a2dadcdea9"}},"00476f0ede5f42518937ded9861f890d":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_3856d00179e94af4a2d7dd424b3d113d","placeholder":"​","style":"IPY_MODEL_f30de77d68c74cf3b184bb3aaaea17c9","value":"README.md: "}},"ddeeff0fcbb4456c979f2201f320214c":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_f2b6656db10c4338b4f818bb55e5659e","max":1,"min":0,"orientation":"horizontal","style":"IPY_MODEL_e012b659e26641aa85c951cc4876cbf2","value":1}},"543ad9465d6648ab97be1dbe41f156e6":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_f4e0943491f44bd485b79b0bcd72efc9","placeholder":"​","style":"IPY_MODEL_d8e6f0892f534701aac8562a8facce65","value":" 6.81k/? [00:00&lt;00:00, 424kB/s]"}},"55461d8ba84348c3901790a2dadcdea9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"3856d00179e94af4a2d7dd424b3d113d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"f30de77d68c74cf3b184bb3aaaea17c9":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"f2b6656db10c4338b4f818bb55e5659e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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":"20px"}},"e012b659e26641aa85c951cc4876cbf2":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"f4e0943491f44bd485b79b0bcd72efc9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"d8e6f0892f534701aac8562a8facce65":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"9bd673d2112243dcb341fed4aae6c3f8":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_20bf68fc635d432491410f013d62f8c4","IPY_MODEL_765197e5c33e4115b10971a4bdd7dff6","IPY_MODEL_7ba46ef5b73b4935bf0414bbefbb1ea8"],"layout":"IPY_MODEL_d867c891e22742b190385a5f5b6cab06"}},"20bf68fc635d432491410f013d62f8c4":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_491902b8c0c2489e8c6fa98ce9d0022b","placeholder":"​","style":"IPY_MODEL_9ab2aef3590e42f68fdc42fd7026e52e","value":"amazon_polarity/train-00000-of-00004.par(…): 100%"}},"765197e5c33e4115b10971a4bdd7dff6":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_6583aa1322e64d18aa7524edc924d6fa","max":259761770,"min":0,"orientation":"horizontal","style":"IPY_MODEL_a8d1abe3674e400d8564b1de42638167","value":259761770}},"7ba46ef5b73b4935bf0414bbefbb1ea8":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_dca974250abb407598132820b77585c9","placeholder":"​","style":"IPY_MODEL_2ba1e1dc1e4a4a9ab198212aee0378a3","value":" 260M/260M [00:03&lt;00:00, 183MB/s]"}},"d867c891e22742b190385a5f5b6cab06":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"491902b8c0c2489e8c6fa98ce9d0022b":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"9ab2aef3590e42f68fdc42fd7026e52e":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"6583aa1322e64d18aa7524edc924d6fa":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"a8d1abe3674e400d8564b1de42638167":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"dca974250abb407598132820b77585c9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"2ba1e1dc1e4a4a9ab198212aee0378a3":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"6caccdc5d75e4a81871295aecfb64cf9":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_ab18a8aceb0f48438e5d8385dca3d764","IPY_MODEL_b39831b3d74b4eb383c463f62b9ce7e2","IPY_MODEL_a35cdc3d467a4a5c8d0d2c354bee0c6f"],"layout":"IPY_MODEL_9fb9ed28d4f544b3aee454a16d9b5495"}},"ab18a8aceb0f48438e5d8385dca3d764":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_668751256fc74ac180247a5b6102acc6","placeholder":"​","style":"IPY_MODEL_b92ae0dbfa27484eae49fadbc98f0623","value":"amazon_polarity/train-00001-of-00004.par(…): 100%"}},"b39831b3d74b4eb383c463f62b9ce7e2":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_1f2ee0e09bf54798ab342989fa6b7f92","max":258363554,"min":0,"orientation":"horizontal","style":"IPY_MODEL_9730559d33f242398d26049721b12e38","value":258363554}},"a35cdc3d467a4a5c8d0d2c354bee0c6f":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_12af04bdf93b4521b33ed1d6a0fba277","placeholder":"​","style":"IPY_MODEL_5b1b65f91fe047ff94fc3aa3ab36bd5e","value":" 258M/258M [00:04&lt;00:00, 47.9MB/s]"}},"9fb9ed28d4f544b3aee454a16d9b5495":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"668751256fc74ac180247a5b6102acc6":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"b92ae0dbfa27484eae49fadbc98f0623":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"1f2ee0e09bf54798ab342989fa6b7f92":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"9730559d33f242398d26049721b12e38":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"12af04bdf93b4521b33ed1d6a0fba277":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"5b1b65f91fe047ff94fc3aa3ab36bd5e":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"97ffdaf1a2884498b299f4bae2525871":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_67c2989964814cba9c8f6244a3628238","IPY_MODEL_c2523028bfa2418981949e9c98a03e8a","IPY_MODEL_e8aa0273403642348b5f4683f2127b66"],"layout":"IPY_MODEL_cd9edefbeab243c99b59aa73f2f2ffa3"}},"67c2989964814cba9c8f6244a3628238":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_d8f7ae158dfc4930b51b36e01d79b8f7","placeholder":"​","style":"IPY_MODEL_444987e578c74b01bf676339aa5a4d26","value":"amazon_polarity/train-00002-of-00004.par(…): 100%"}},"c2523028bfa2418981949e9c98a03e8a":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_e9f158d656b84a298989af09ace6dab6","max":255471883,"min":0,"orientation":"horizontal","style":"IPY_MODEL_3aa401d9a36341a9abafcaf65a8b2c13","value":255471883}},"e8aa0273403642348b5f4683f2127b66":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_d343029e050049559a00af725f490210","placeholder":"​","style":"IPY_MODEL_9af10f88deed4579af2117027674b119","value":" 255M/255M [00:01&lt;00:00, 141MB/s]"}},"cd9edefbeab243c99b59aa73f2f2ffa3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"d8f7ae158dfc4930b51b36e01d79b8f7":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"444987e578c74b01bf676339aa5a4d26":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"e9f158d656b84a298989af09ace6dab6":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"3aa401d9a36341a9abafcaf65a8b2c13":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"d343029e050049559a00af725f490210":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"9af10f88deed4579af2117027674b119":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"e9a01b058e2749188c99bbfd23fb736e":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_7c3dc9d863c0443f8bf57412843bbf8a","IPY_MODEL_c316f1edf28547b39b63ff2b14824595","IPY_MODEL_785fce8ae5bc4d0083e07b7e33f961be"],"layout":"IPY_MODEL_846c851e844b43958115ce50e6742b27"}},"7c3dc9d863c0443f8bf57412843bbf8a":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_4776d0f51cf940e7a7bd8dedd7d6827c","placeholder":"​","style":"IPY_MODEL_542be3d908d74e13a80b882489d3368c","value":"amazon_polarity/train-00003-of-00004.par(…): 100%"}},"c316f1edf28547b39b63ff2b14824595":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_29fc8dbc59a24987b938b1e743f1468d","max":254410930,"min":0,"orientation":"horizontal","style":"IPY_MODEL_528fa4fa13df48528065106df45a1aa9","value":254410930}},"785fce8ae5bc4d0083e07b7e33f961be":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_3134b0148fa14515944adf614c48967e","placeholder":"​","style":"IPY_MODEL_910d8f2558fb4131945b7c9c9dc54ddd","value":" 254M/254M [00:01&lt;00:00, 275MB/s]"}},"846c851e844b43958115ce50e6742b27":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"4776d0f51cf940e7a7bd8dedd7d6827c":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"542be3d908d74e13a80b882489d3368c":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"29fc8dbc59a24987b938b1e743f1468d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"528fa4fa13df48528065106df45a1aa9":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"3134b0148fa14515944adf614c48967e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"910d8f2558fb4131945b7c9c9dc54ddd":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"d631b91838304564b15e8c55f4635118":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_906f3cf697eb4c90933abf098a3a9d6f","IPY_MODEL_00f23a6ac7ef4142bb02aa2debcf418c","IPY_MODEL_86069c48f2b142bfa7eaf6536db55fa0"],"layout":"IPY_MODEL_b40739dd55a24772965c513dff8edcbb"}},"906f3cf697eb4c90933abf098a3a9d6f":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_98ce5ff4c9414b0eb7f84e4c3ee2c07e","placeholder":"​","style":"IPY_MODEL_44426a8f63224f2da6e648daafc3b212","value":"amazon_polarity/test-00000-of-00001.parq(…): 100%"}},"00f23a6ac7ef4142bb02aa2debcf418c":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_ba79ed97383045c4bacec2949f746d97","max":117422360,"min":0,"orientation":"horizontal","style":"IPY_MODEL_d2da244ca94741afb2e5a667f72bf7d2","value":117422360}},"86069c48f2b142bfa7eaf6536db55fa0":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_381698061555465c810119026d30096e","placeholder":"​","style":"IPY_MODEL_3845387a395a450493bad84d1da44887","value":" 117M/117M [00:01&lt;00:00, 136MB/s]"}},"b40739dd55a24772965c513dff8edcbb":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"98ce5ff4c9414b0eb7f84e4c3ee2c07e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"44426a8f63224f2da6e648daafc3b212":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"ba79ed97383045c4bacec2949f746d97":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"d2da244ca94741afb2e5a667f72bf7d2":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"381698061555465c810119026d30096e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"3845387a395a450493bad84d1da44887":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"c2f417686f7449baa20384f1fc23d48d":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_fd4d17f20ef6411f9bf039fef31e1b74","IPY_MODEL_2734cb9e8f3147dbb34a71ec81dd2003","IPY_MODEL_57fbb053fbae4befa715a9fa25a43969"],"layout":"IPY_MODEL_b8b2ce55c87247fcb07a0916b08f9f7e"}},"fd4d17f20ef6411f9bf039fef31e1b74":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_6377cb99d22644ac98f872739d06b06e","placeholder":"​","style":"IPY_MODEL_586bbe331f654b3a9db794f8619d0913","value":"Generating train split: 100%"}},"2734cb9e8f3147dbb34a71ec81dd2003":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_239f61adfdfc4cac9f724e0941da864f","max":3600000,"min":0,"orientation":"horizontal","style":"IPY_MODEL_ce94451266a345a080cbfc0f6d596c0d","value":3600000}},"57fbb053fbae4befa715a9fa25a43969":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_25984323a64d42c1a47ff6d0fa11e843","placeholder":"​","style":"IPY_MODEL_aa006c2fd45d40a7a0ee465d2763bfaa","value":" 3600000/3600000 [00:18&lt;00:00, 105421.64 examples/s]"}},"b8b2ce55c87247fcb07a0916b08f9f7e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"6377cb99d22644ac98f872739d06b06e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"586bbe331f654b3a9db794f8619d0913":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"239f61adfdfc4cac9f724e0941da864f":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"ce94451266a345a080cbfc0f6d596c0d":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"25984323a64d42c1a47ff6d0fa11e843":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"aa006c2fd45d40a7a0ee465d2763bfaa":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"e36090c489754453b720f76d267dfa7d":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","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_db24acaf110a4d6ab4e1f44d6ea6a2f4","IPY_MODEL_2000cb587d754f5e98e48425e5e4f672","IPY_MODEL_96a1e57064a14eaeabc5907eeaaac6ad"],"layout":"IPY_MODEL_dc8a27479cc94b64af0dece399644c1f"}},"db24acaf110a4d6ab4e1f44d6ea6a2f4":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_ae54fa359bcf423a96be36acecb5014b","placeholder":"​","style":"IPY_MODEL_0d54c1f30a4c4159a791c9b2ed56bec9","value":"Generating test split: 100%"}},"2000cb587d754f5e98e48425e5e4f672":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","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":"","description_tooltip":null,"layout":"IPY_MODEL_2ae7955968494ea2ba72c3a2d6090cf9","max":400000,"min":0,"orientation":"horizontal","style":"IPY_MODEL_d8ec7771d4314de194e2217c5a93fe9c","value":400000}},"96a1e57064a14eaeabc5907eeaaac6ad":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_a6c3a66c4b304673a5744bca05fcd100","placeholder":"​","style":"IPY_MODEL_20e9697419c04643886a325cea3821a9","value":" 400000/400000 [00:01&lt;00:00, 353251.66 examples/s]"}},"dc8a27479cc94b64af0dece399644c1f":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"ae54fa359bcf423a96be36acecb5014b":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"0d54c1f30a4c4159a791c9b2ed56bec9":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}},"2ae7955968494ea2ba72c3a2d6090cf9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"d8ec7771d4314de194e2217c5a93fe9c":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","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":""}},"a6c3a66c4b304673a5744bca05fcd100":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","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}},"20e9697419c04643886a325cea3821a9":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","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":""}}}}},"nbformat":4,"nbformat_minor":5}