{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "3564591f-25e4-4be6-9104-acec74b5a120", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting datasets\n", " Using cached datasets-2.16.1-py3-none-any.whl (507 kB)\n", "Collecting pandas\n", " Downloading pandas-2.2.0-cp310-cp310-win_amd64.whl (11.6 MB)\n", " ---------------------------------------- 0.0/11.6 MB ? eta -:--:--\n", " --------------------------------------- 0.0/11.6 MB 640.0 kB/s eta 0:00:19\n", " --------------------------------------- 0.0/11.6 MB 640.0 kB/s eta 0:00:19\n", " --------------------------------------- 0.0/11.6 MB 195.7 kB/s eta 0:00:59\n", " --------------------------------------- 0.1/11.6 MB 381.3 kB/s eta 0:00:31\n", " --------------------------------------- 0.1/11.6 MB 435.7 kB/s eta 0:00:27\n", " --------------------------------------- 0.1/11.6 MB 399.4 kB/s eta 0:00:29\n", " -------------------------------------- 0.2/11.6 MB 591.4 kB/s eta 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tzdata, tqdm, pyarrow-hotfix, numpy, multidict, fsspec, frozenlist, filelock, dill, async-timeout, yarl, pyarrow, pandas, multiprocess, huggingface-hub, aiosignal, aiohttp, datasets\n", "Successfully installed aiohttp-3.9.1 aiosignal-1.3.1 async-timeout-4.0.3 datasets-2.16.1 dill-0.3.7 filelock-3.13.1 frozenlist-1.4.1 fsspec-2023.10.0 huggingface-hub-0.20.3 multidict-6.0.4 multiprocess-0.70.15 numpy-1.26.3 pandas-2.2.0 pyarrow-15.0.0 pyarrow-hotfix-0.6 pytz-2023.3.post1 tqdm-4.66.1 tzdata-2023.4 xxhash-3.4.1 yarl-1.9.4\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", "[notice] A new release of pip is available: 23.0.1 -> 23.3.2\n", "[notice] To update, run: python.exe -m pip install --upgrade pip\n" ] } ], "source": [ "!pip install datasets" ] }, { "cell_type": "code", "execution_count": 6, "id": "bd4b0343-d24f-4ca0-9fcb-94307eaaf732", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting ipywidgetsNote: you may need to 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"['acronym_identification',\n", " 'ade_corpus_v2',\n", " 'adversarial_qa',\n", " 'aeslc',\n", " 'afrikaans_ner_corpus']" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_ds[:5]" ] }, { "cell_type": "code", "execution_count": 11, "id": "63e676b3-0ce3-462a-b9e3-cc37c2f33703", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\datasets\\load.py:1429: FutureWarning: The repository for oscar contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/oscar\n", "You can avoid this message in future by passing the argument `trust_remote_code=True`.\n", "Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.\n", " warnings.warn(\n", "Downloading builder script: 100%|█████████████████████████████████████████████████| 14.8k/14.8k [00:00<00:00, 14.8MB/s]\n", "Downloading readme: 100%|████████████████████████████████████████████████████████████| 303k/303k [00:00<00:00, 412kB/s]\n", "Downloading data: 100%|█████████████████████████████████████████████████████████████████████| 81.0/81.0 [00:00