{
  "id": 365907,
  "title": "JSONL files transformed to CSV format",
  "url": "/competitions/otto-recommender-system/discussion/365907",
  "author_name": "",
  "post_date": "2022-11-13T19:29:42.793316Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi all,</p>\n<p>For those who would like to quickly access the input files in csv format, I have created this dataset:</p>\n<p><a href=\"url\" target=\"_blank\"></a><a href=\"https://www.kaggle.com/datasets/andrejzuba/otto-recommendation-input-files-in-csv-format\" target=\"_blank\">https://www.kaggle.com/datasets/andrejzuba/otto-recommendation-input-files-in-csv-format</a><br>\n</p>\n<p>The train set is split into 6 separate files because I could not load all of them into memory. Adding also the transformation code I used below. Good luck :).</p>",
  "messages": [
    {
      "id": "2028324",
      "postDate": "11/13/2022 19:29:42",
      "content": "<p>Hi all,</p>\n<p>For those who would like to quickly access the input files in csv format, I have created this dataset:</p>\n<p><a href=\"url\" target=\"_blank\"></a><a href=\"https://www.kaggle.com/datasets/andrejzuba/otto-recommendation-input-files-in-csv-format\" target=\"_blank\">https://www.kaggle.com/datasets/andrejzuba/otto-recommendation-input-files-in-csv-format</a><br>\n</p>\n<p>The train set is split into 6 separate files because I could not load all of them into memory. Adding also the transformation code I used below. Good luck :).</p>",
      "rawMarkdown": "Hi all,\n\nFor those who would like to quickly access the input files in csv format, I have created this dataset:\n\n[https://www.kaggle.com/datasets/andrejzuba/otto-recommendation-input-files-in-csv-format\n](url)\n\nThe train set is split into 6 separate files because I could not load all of them into memory. Adding also the transformation code I used below. Good luck :).",
      "votes": null
    },
    {
      "id": "2028326",
      "postDate": "11/13/2022 19:33:38",
      "content": "<p>The python code I used is here:</p>\n<p><a href=\"url\" target=\"_blank\">https://www.kaggle.com/code/andrejzuba/jsonl-to-csv/notebook</a></p>",
      "rawMarkdown": "The python code I used is here:\n\n[https://www.kaggle.com/code/andrejzuba/jsonl-to-csv/notebook](url)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2028326,
      "author_name": "andrejzuba",
      "author_url": "",
      "post_date": "11/13/2022 19:33:38",
      "content": "<p>The python code I used is here:</p>\n<p><a href=\"url\" target=\"_blank\">https://www.kaggle.com/code/andrejzuba/jsonl-to-csv/notebook</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2028324": "Hi all,\n\nFor those who would like to quickly access the input files in csv format, I have created this dataset:\n\n[https://www.kaggle.com/datasets/andrejzuba/otto-recommendation-input-files-in-csv-format\n](url)\n\nThe train set is split into 6 separate files because I could not load all of them into memory. Adding also the transformation code I used below. Good luck :).",
    "2028326": "The python code I used is here:\n\n[https://www.kaggle.com/code/andrejzuba/jsonl-to-csv/notebook](url)"
  },
  "source": "meta"
}