{
  "fetched_at": "2026-10-19T06:26:57Z",
  "source_url": "https://www.kaggle.com/competitions/11785-2021fall-hw1p2-testing/data",
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    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n<p>This page shows up underneath the data files. Here you describe what files you have provided and the format of each. There is no single format for this page that is appropriate for all competitons, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.</p<p>This page shows up underneath the data files. Here you describe what files you have provided and the format of each. There is no single format for this page that is appropriate for all competitons, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.</p>\n<p>Participants should be able to answer questions like these after reading the data description: What files do I need? What should I expect the data format to be? What am I predicting? What acroynms will I encounter?</p>\n<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n<p>This page shows up underneath the data files. Here you describe what files you have provided and the format of each. There is no single format for this page that is appropriate for all competitons, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.</p>\n<p>Participants should be able to answer questions like these after reading the data description: What files do I need? What should I expect the data format to be? What am I predicting? What acroynms will I encounter?</p>\n<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n<li><strong>metaData.csv</strong> - supplemental information about the data</li>\n<li>etc...</li>\n</ul>\n<h2>",
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    {
      "name": "Description",
      "content": "11785 2021 Fall HW1p2 Testing",
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    {
      "name": "Evaluation",
      "content": "<h2>Evaluation Metric</h2>\nThe evaluation metric for this competition is frame-level accuracy.\n\n<h2>Submission Format</h2>\nSubmission files should contain two columns: Id and Label.\n\n<h2>Rules</h2>\nYour model MUST use an MLP (no RNNs or ConvNets). We will check your code to make sure this is the case. However, you are free to use auto-differentiation libraries like PyTorch or Tensorflow.\n\n(Note: Support will most likely only be provided for PyTorch.)",
      "isPublished": false,
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    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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}