{
  "id": 499638,
  "title": "Is it necessary for us to utilize all of the training data?",
  "url": "/competitions/leap-atmospheric-physics-ai-climsim/discussion/499638",
  "author_name": "Zhuoqun Li",
  "post_date": "2024-05-02T15:12:57.635000",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>The training dataset contains 10 million records, which poses significant challenges not only in storage but also in terms of computation time. Therefore, I am considering using only 30% of the data for training. Is this feasible?</p>",
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      "content": "<p>The training dataset contains 10 million records, which poses significant challenges not only in storage but also in terms of computation time. Therefore, I am considering using only 30% of the data for training. Is this feasible?</p>",
      "rawMarkdown": "The training dataset contains 10 million records, which poses significant challenges not only in storage but also in terms of computation time. Therefore, I am considering using only 30% of the data for training. Is this feasible?"
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      "postDate": "2024-05-04T19:32:10.980Z",
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    "2789141": "The training dataset contains 10 million records, which poses significant challenges not only in storage but also in terms of computation time. Therefore, I am considering using only 30% of the data for training. Is this feasible?",
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}