{
  "id": 412706,
  "title": "No of words and search based on domains",
  "url": "/competitions/2023-kaggle-ai-report/discussion/412706",
  "author_name": "",
  "post_date": "2023-05-24T23:53:32.737060700Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi; </p>\n<ol>\n<li>is there a maximum number of words for the essay</li>\n<li>Should there be a team or individuals can submit</li>\n<li>want to submit an essay based on investment domain; how can I do a domain based search in the repository you have given<br>\nthanks!</li>\n</ol>",
  "messages": [
    {
      "id": "2272992",
      "postDate": "05/24/2023 23:53:32",
      "content": "<p>Hi; </p>\n<ol>\n<li>is there a maximum number of words for the essay</li>\n<li>Should there be a team or individuals can submit</li>\n<li>want to submit an essay based on investment domain; how can I do a domain based search in the repository you have given<br>\nthanks!</li>\n</ol>",
      "rawMarkdown": "Hi; \n1. is there a maximum number of words for the essay\n2. Should there be a team or individuals can submit\n3. want to submit an essay based on investment domain; how can I do a domain based search in the repository you have given\nthanks!",
      "votes": null
    },
    {
      "id": "2274008",
      "postDate": "05/25/2023 14:49:55",
      "content": "<p>Q1: No (see detailed response <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661\" target=\"_blank\">here</a>).<br>\nQ2: The most common team size will likely be 1,  see <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2272495\" target=\"_blank\">response</a> in the Q&amp;A thread for more detail.<br>\nQ3: You can click on the \"code\" listing on the <a href=\"https://www.kaggle.com/datasets/kaggle/meta-kaggle/code\" target=\"_blank\">Meta Kaggle</a> and <a href=\"https://www.kaggle.com/datasets/Cornell-University/arxiv/code\" target=\"_blank\">arXiv</a> datasets to find examples of how to work with and filter this type of data.</p>\n<p>Hopefully that helps!</p>",
      "rawMarkdown": "Q1: No (see detailed response [here](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661)).\nQ2: The most common team size will likely be 1,  see [response](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2272495) in the Q&A thread for more detail.\nQ3: You can click on the \"code\" listing on the [Meta Kaggle](https://www.kaggle.com/datasets/kaggle/meta-kaggle/code) and [arXiv](https://www.kaggle.com/datasets/Cornell-University/arxiv/code) datasets to find examples of how to work with and filter this type of data.\n\nHopefully that helps!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2274008,
      "author_name": "paultimothymooney",
      "author_url": "",
      "post_date": "05/25/2023 14:49:55",
      "content": "<p>Q1: No (see detailed response <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661\" target=\"_blank\">here</a>).<br>\nQ2: The most common team size will likely be 1,  see <a href=\"https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2272495\" target=\"_blank\">response</a> in the Q&amp;A thread for more detail.<br>\nQ3: You can click on the \"code\" listing on the <a href=\"https://www.kaggle.com/datasets/kaggle/meta-kaggle/code\" target=\"_blank\">Meta Kaggle</a> and <a href=\"https://www.kaggle.com/datasets/Cornell-University/arxiv/code\" target=\"_blank\">arXiv</a> datasets to find examples of how to work with and filter this type of data.</p>\n<p>Hopefully that helps!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2272992": "Hi; \n1. is there a maximum number of words for the essay\n2. Should there be a team or individuals can submit\n3. want to submit an essay based on investment domain; how can I do a domain based search in the repository you have given\nthanks!",
    "2274008": "Q1: No (see detailed response [here](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409661)).\nQ2: The most common team size will likely be 1,  see [response](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/400084#2272495) in the Q&A thread for more detail.\nQ3: You can click on the \"code\" listing on the [Meta Kaggle](https://www.kaggle.com/datasets/kaggle/meta-kaggle/code) and [arXiv](https://www.kaggle.com/datasets/Cornell-University/arxiv/code) datasets to find examples of how to work with and filter this type of data.\n\nHopefully that helps!"
  },
  "source": "meta"
}