{
  "id": 420203,
  "title": "A submit question.  ",
  "url": "/competitions/2023-kaggle-ai-report/discussion/420203",
  "author_name": "",
  "post_date": "2023-06-29T16:13:30.011676700Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I have a question how will a submission form be in a CSV file?</p>",
  "messages": [
    {
      "id": "2323010",
      "postDate": "06/29/2023 16:13:30",
      "content": "<p>I have a question how will a submission form be in a CSV file?</p>",
      "rawMarkdown": "I have a question how will a submission form be in a CSV file?",
      "votes": null
    },
    {
      "id": "2324853",
      "postDate": "06/30/2023 23:21:03",
      "content": "<p>You create your essay/ code in a notebook and then add a block code at the end (if you like) that compiles a dataframe and save it, something like:</p>\n<pre><code>info = [, , , ,  ]\ndata = pd.DataFrame( info, index=[, , ,,] )\ndata.to_csv( )\ndata\n</code></pre>",
      "rawMarkdown": "You create your essay/ code in a notebook and then add a block code at the end (if you like) that compiles a dataframe and save it, something like:\n\n```python\ninfo = ['category', 'https://www.kaggle.com/code/XXX/YYY', '', '', '' ]\ndata = pd.DataFrame( info, index=['essay_category', 'essay_url', 'feedback1_url','feedback2_url','feedback3_url'] )\ndata.to_csv('/kaggle/working/submission.csv' )\ndata\n```",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2324853,
      "author_name": "vcolliym",
      "author_url": "",
      "post_date": "06/30/2023 23:21:03",
      "content": "<p>You create your essay/ code in a notebook and then add a block code at the end (if you like) that compiles a dataframe and save it, something like:</p>\n<pre><code>info = [, , , ,  ]\ndata = pd.DataFrame( info, index=[, , ,,] )\ndata.to_csv( )\ndata\n</code></pre>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2323010": "I have a question how will a submission form be in a CSV file?",
    "2324853": "You create your essay/ code in a notebook and then add a block code at the end (if you like) that compiles a dataframe and save it, something like:\n\n```python\ninfo = ['category', 'https://www.kaggle.com/code/XXX/YYY', '', '', '' ]\ndata = pd.DataFrame( info, index=['essay_category', 'essay_url', 'feedback1_url','feedback2_url','feedback3_url'] )\ndata.to_csv('/kaggle/working/submission.csv' )\ndata\n```"
  },
  "source": "meta"
}