{
  "id": 374646,
  "title": "All training frame extracted dataset",
  "url": "/competitions/nfl-player-contact-detection/discussion/374646",
  "author_name": "",
  "post_date": "2022-12-28T07:46:15.636301400Z",
  "votes": 26,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I created a dataset <a href=\"https://www.kaggle.com/datasets/locbaop/nfl-contact-extracted-train-frames\" target=\"_blank\">here</a><br>\nextracted from <a href=\"https://www.kaggle.com/zzy990106\" target=\"_blank\">@zzy990106</a> <a href=\"https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference/notebook\" target=\"_blank\">notebook</a></p>\n<p>Total images: ~373k files<br>\nTotal size: ~60Gb<br>\nHope this will help you saving time and memories. <br>\nHappy kaggling.</p>",
  "messages": [
    {
      "id": "2078244",
      "postDate": "12/28/2022 07:46:15",
      "content": "<p>I created a dataset <a href=\"https://www.kaggle.com/datasets/locbaop/nfl-contact-extracted-train-frames\" target=\"_blank\">here</a><br>\nextracted from <a href=\"https://www.kaggle.com/zzy990106\" target=\"_blank\">@zzy990106</a> <a href=\"https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference/notebook\" target=\"_blank\">notebook</a></p>\n<p>Total images: ~373k files<br>\nTotal size: ~60Gb<br>\nHope this will help you saving time and memories. <br>\nHappy kaggling.</p>",
      "rawMarkdown": "I created a dataset [here](https://www.kaggle.com/datasets/locbaop/nfl-contact-extracted-train-frames)\nextracted from [@zzy990106](https://www.kaggle.com/zzy990106) [notebook](https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference/notebook)\n\nTotal images: ~373k files\nTotal size: ~60Gb\nHope this will help you saving time and memories. \nHappy kaggling.",
      "votes": null
    },
    {
      "id": "2080530",
      "postDate": "12/30/2022 08:53:48",
      "content": "<p>Thanks a bunch, I had problem with my disk speed and this saved me a lot of hassle </p>",
      "rawMarkdown": "Thanks a bunch, I had problem with my disk speed and this saved me a lot of hassle",
      "votes": null
    },
    {
      "id": "2080680",
      "postDate": "12/30/2022 11:45:20",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2080530,
      "author_name": "samir95",
      "author_url": "",
      "post_date": "12/30/2022 08:53:48",
      "content": "<p>Thanks a bunch, I had problem with my disk speed and this saved me a lot of hassle </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2080680,
      "author_name": "ragita",
      "author_url": "",
      "post_date": "12/30/2022 11:45:20",
      "content": "<p>Thank you!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2078244": "I created a dataset [here](https://www.kaggle.com/datasets/locbaop/nfl-contact-extracted-train-frames)\nextracted from [@zzy990106](https://www.kaggle.com/zzy990106) [notebook](https://www.kaggle.com/code/zzy990106/nfl-2-5d-cnn-baseline-inference/notebook)\n\nTotal images: ~373k files\nTotal size: ~60Gb\nHope this will help you saving time and memories. \nHappy kaggling.",
    "2080530": "Thanks a bunch, I had problem with my disk speed and this saved me a lot of hassle",
    "2080680": "Thank you!"
  },
  "source": "meta"
}