{
  "id": 324617,
  "title": "Dataset with correctly sorted notebooks",
  "url": "/competitions/AI4Code/discussion/324617",
  "author_name": "Right Goose",
  "post_date": "2022-05-12T13:11:07.028000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Here is a <a href=\"https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code\" target=\"_blank\">dataset</a> of correctly sorted notebooks for this competition saved in csv format.<br>\nIt makes it much easier to train your model.<br>\n<img src=\"https://storage.googleapis.com/kagglesdsdata/datasets/2170313/3622284/example.jpeg?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20220512%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20220512T130710Z&amp;X-Goog-Expires=345599&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\" alt=\"\"><br>\nThe name of each file corresponds to the original id from train_orders.csv</p>\n<p>The filtering algorithm is explained <a href=\"https://www.kaggle.com/code/ilyaryabov/eda-collecting-training-dataset\" target=\"_blank\">here</a> in read_notebook_from_train_orders function</p>\n<p>Thank you and good luck!</p>\n<p>Dataset: <a href=\"https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code\" target=\"_blank\">https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code</a></p>",
  "messages": [
    {
      "id": 1785868,
      "postDate": "2022-05-12T13:11:07.027Z",
      "content": "<p>Here is a <a href=\"https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code\" target=\"_blank\">dataset</a> of correctly sorted notebooks for this competition saved in csv format.<br>\nIt makes it much easier to train your model.<br>\n<img src=\"https://storage.googleapis.com/kagglesdsdata/datasets/2170313/3622284/example.jpeg?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20220512%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20220512T130710Z&amp;X-Goog-Expires=345599&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\" alt=\"\"><br>\nThe name of each file corresponds to the original id from train_orders.csv</p>\n<p>The filtering algorithm is explained <a href=\"https://www.kaggle.com/code/ilyaryabov/eda-collecting-training-dataset\" target=\"_blank\">here</a> in read_notebook_from_train_orders function</p>\n<p>Thank you and good luck!</p>\n<p>Dataset: <a href=\"https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code\" target=\"_blank\">https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code</a></p>",
      "rawMarkdown": "Here is a [dataset](https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code) of correctly sorted notebooks for this competition saved in csv format.\nIt makes it much easier to train your model.\n![](https://storage.googleapis.com/kagglesdsdata/datasets/2170313/3622284/example.jpeg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20220512%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20220512T130710Z&X-Goog-Expires=345599&X-Goog-SignedHeaders=host&X-Goog-Signature=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)\nThe name of each file corresponds to the original id from train_orders.csv\n\nThe filtering algorithm is explained [here](https://www.kaggle.com/code/ilyaryabov/eda-collecting-training-dataset) in read_notebook_from_train_orders function\n\nThank you and good luck!\n\nDataset: https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1785868": "Here is a [dataset](https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code) of correctly sorted notebooks for this competition saved in csv format.\nIt makes it much easier to train your model.\n![](https://storage.googleapis.com/kagglesdsdata/datasets/2170313/3622284/example.jpeg?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20220512%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20220512T130710Z&X-Goog-Expires=345599&X-Goog-SignedHeaders=host&X-Goog-Signature=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)\nThe name of each file corresponds to the original id from train_orders.csv\n\nThe filtering algorithm is explained [here](https://www.kaggle.com/code/ilyaryabov/eda-collecting-training-dataset) in read_notebook_from_train_orders function\n\nThank you and good luck!\n\nDataset: https://www.kaggle.com/datasets/ilyaryabov/correctly-ordered-notebooks-for-google-ai4code\n"
  }
}