{
  "id": 338340,
  "title": "Kindly help to understand this compitition",
  "url": "/competitions/AI4Code/discussion/338340",
  "author_name": "",
  "post_date": "2022-07-20T05:43:59.095878Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi All,<br>\nI am new to ML and still learning the basic models. So this is seems to be advance for me and hence the question.</p>\n<p>I get the idea behind the objective to find a relation between markdown and code cell, but haven't got the issue what exactly is needed. Normally the markdown listed above is for the code it follows. So can anyone help to explain what the purpose of this compition. </p>",
  "messages": [
    {
      "id": "1863021",
      "postDate": "07/20/2022 05:43:59",
      "content": "<p>Hi All,<br>\nI am new to ML and still learning the basic models. So this is seems to be advance for me and hence the question.</p>\n<p>I get the idea behind the objective to find a relation between markdown and code cell, but haven't got the issue what exactly is needed. Normally the markdown listed above is for the code it follows. So can anyone help to explain what the purpose of this compition. </p>",
      "rawMarkdown": "Hi All,\nI am new to ML and still learning the basic models. So this is seems to be advance for me and hence the question.\n\nI get the idea behind the objective to find a relation between markdown and code cell, but haven't got the issue what exactly is needed. Normally the markdown listed above is for the code it follows. So can anyone help to explain what the purpose of this compition.",
      "votes": null
    },
    {
      "id": "1863732",
      "postDate": "07/20/2022 13:26:39",
      "content": "<p>each notebook has \\( n_c \\) code cells ad \\( n_m \\) markdown cells. Code cells are ordered as user coded it, but markdown cells are shuffled at the end of the code cells. The objetive is inference the order of the all cells, code cells as well as markdown cells, as the user coded the notebook originally.</p>\n<p>I hope this helps</p>",
      "rawMarkdown": "each notebook has \\\\( n_c \\\\) code cells ad \\\\( n_m \\\\) markdown cells. Code cells are ordered as user coded it, but markdown cells are shuffled at the end of the code cells. The objetive is inference the order of the all cells, code cells as well as markdown cells, as the user coded the notebook originally.\n\nI hope this helps",
      "votes": null
    },
    {
      "id": "1868342",
      "postDate": "07/23/2022 23:22:53",
      "content": "<p>Welcome to the Kaggle community!<br>\nIn this competition, you're given code cells and their corresponding markdown cells, and your task is to predict which code cells are associated with which markdown cells. This is an important task because it allows developers to automatically generate documentation for their code.</p>\n<p>The data consists of two files:</p>\n<ul>\n<li>A JSON file containing information about the code cells</li>\n<li>A text file containing the markdown cells</li>\n</ul>\n<p>You can find more information about the competition and the data in the competition overview and data page.<br>\nI hope this helps! If you have any other questions, please don't hesitate to ask. :)</p>",
      "rawMarkdown": "Welcome to the Kaggle community!\nIn this competition, you're given code cells and their corresponding markdown cells, and your task is to predict which code cells are associated with which markdown cells. This is an important task because it allows developers to automatically generate documentation for their code.\n\nThe data consists of two files:\n\n- A JSON file containing information about the code cells\n- A text file containing the markdown cells\n\nYou can find more information about the competition and the data in the competition overview and data page.\nI hope this helps! If you have any other questions, please don't hesitate to ask. :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1863732,
      "author_name": "josecarmona",
      "author_url": "",
      "post_date": "07/20/2022 13:26:39",
      "content": "<p>each notebook has \\( n_c \\) code cells ad \\( n_m \\) markdown cells. Code cells are ordered as user coded it, but markdown cells are shuffled at the end of the code cells. The objetive is inference the order of the all cells, code cells as well as markdown cells, as the user coded the notebook originally.</p>\n<p>I hope this helps</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1868342,
      "author_name": "thedevastator",
      "author_url": "",
      "post_date": "07/23/2022 23:22:53",
      "content": "<p>Welcome to the Kaggle community!<br>\nIn this competition, you're given code cells and their corresponding markdown cells, and your task is to predict which code cells are associated with which markdown cells. This is an important task because it allows developers to automatically generate documentation for their code.</p>\n<p>The data consists of two files:</p>\n<ul>\n<li>A JSON file containing information about the code cells</li>\n<li>A text file containing the markdown cells</li>\n</ul>\n<p>You can find more information about the competition and the data in the competition overview and data page.<br>\nI hope this helps! If you have any other questions, please don't hesitate to ask. :)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1863021": "Hi All,\nI am new to ML and still learning the basic models. So this is seems to be advance for me and hence the question.\n\nI get the idea behind the objective to find a relation between markdown and code cell, but haven't got the issue what exactly is needed. Normally the markdown listed above is for the code it follows. So can anyone help to explain what the purpose of this compition.",
    "1863732": "each notebook has \\\\( n_c \\\\) code cells ad \\\\( n_m \\\\) markdown cells. Code cells are ordered as user coded it, but markdown cells are shuffled at the end of the code cells. The objetive is inference the order of the all cells, code cells as well as markdown cells, as the user coded the notebook originally.\n\nI hope this helps",
    "1868342": "Welcome to the Kaggle community!\nIn this competition, you're given code cells and their corresponding markdown cells, and your task is to predict which code cells are associated with which markdown cells. This is an important task because it allows developers to automatically generate documentation for their code.\n\nThe data consists of two files:\n\n- A JSON file containing information about the code cells\n- A text file containing the markdown cells\n\nYou can find more information about the competition and the data in the competition overview and data page.\nI hope this helps! If you have any other questions, please don't hesitate to ask. :)"
  },
  "source": "meta"
}