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Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file.
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\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h" + ] + } + ], + "source": [ + "!pip install -Uqqq datasets" + ] + }, + { + "cell_type": "code", + "source": [ + "from datasets import load_dataset" + ], + "metadata": { + "id": "8tIRIOu9XELR" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "dataset1 = load_dataset(\"DrishtiSharma/blog-classification-synthetic-data\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 222, + "referenced_widgets": [ + "700baa48ff8c4bc496d80a1723564e38", + "bef25838ebf147daa55da0ad9d4a67be", + "7bb3762105c442f4a04b05c468e12cc3", + "f3f351ebf03b408ea4c02e28bfb951c6", + 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