{
  "id": 341962,
  "title": "Importing the dataset takes much time ! Any workaround?",
  "url": "/competitions/amex-default-prediction/discussion/341962",
  "author_name": "",
  "post_date": "2022-08-05T02:55:52.224491700Z",
  "votes": -2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>The training dataset is of large volume and takes much time to load. Appreciate any workarounds you followed while importing the dataset. Thanks</p>",
  "messages": [
    {
      "id": "1885228",
      "postDate": "08/05/2022 02:55:52",
      "content": "<p>The training dataset is of large volume and takes much time to load. Appreciate any workarounds you followed while importing the dataset. Thanks</p>",
      "rawMarkdown": "The training dataset is of large volume and takes much time to load. Appreciate any workarounds you followed while importing the dataset. Thanks",
      "votes": null
    },
    {
      "id": "1885240",
      "postDate": "08/05/2022 03:06:58",
      "content": "<p>Found a solution <a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514\" target=\"_blank\">here</a>. Hope it would be useful. The full dataset has been converted into a parquet format file (only 1.7GB of training data!). Thank you <a href=\"https://www.kaggle.com/raddar\" target=\"_blank\">@raddar</a> for the amazing work.</p>",
      "rawMarkdown": "Found a solution [here](https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514). Hope it would be useful. The full dataset has been converted into a parquet format file (only 1.7GB of training data!). Thank you @raddar for the amazing work.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1885240,
      "author_name": "kaniya",
      "author_url": "",
      "post_date": "08/05/2022 03:06:58",
      "content": "<p>Found a solution <a href=\"https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514\" target=\"_blank\">here</a>. Hope it would be useful. The full dataset has been converted into a parquet format file (only 1.7GB of training data!). Thank you <a href=\"https://www.kaggle.com/raddar\" target=\"_blank\">@raddar</a> for the amazing work.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1885228": "The training dataset is of large volume and takes much time to load. Appreciate any workarounds you followed while importing the dataset. Thanks",
    "1885240": "Found a solution [here](https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514). Hope it would be useful. The full dataset has been converted into a parquet format file (only 1.7GB of training data!). Thank you @raddar for the amazing work."
  },
  "source": "meta"
}