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  "source_url": "https://www.kaggle.com/competitions/cs725-autumn-2020-programming-assignment-2/data",
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      "content": "## Dataset Information\n- The dataset contains three files `train.csv`, `dev.csv`, and `test.csv`\n- `train.csv` and `dev.csv` contains following columns:\n\n```\n1. label - Year of release of the song in the range [1922, 2011]\n2. TimberAvg1\n3. TimberAvg2\n.\n.\n13. TimberAvg12\n14. TimbreCovariance1\n15. TimbreCovariance2\n.\n.\n91. TimbreCovariance78\n```\n\n- `test.csv` contains same features except `label`",
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      "content": "# CS 725 (Autumn 2020): Assignment 2\n\n## Dataset Information\n- The dataset contains three files `train.csv`, `dev.csv`, and `test.csv`\n- `train.csv` and `dev.csv` contains following columns:\n\n```\n1. label - Year of release of the song in the range [1922, 2011]\n2. TimberAvg1\n3. TimberAvg2\n.\n.\n13. TimberAvg12\n14. TimbreCovariance1\n15. TimbreCovariance2\n.\n.\n91. TimbreCovariance78\n```\n\n- `test.csv` contains same features except `label`\n\n## Submission Instructions for Kaggle\nIn Part 2, you will evaluate your network's performance on test data given in `test.csv`. Submit your predictions on test data in a `<roll_number>.csv` file in the following format:\n```\nId,Predictions\n1.0,2000.0\n2.0,2000.0\n3.0,2000.0\n.\n.\n10000.0,2000.0\n```",
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    {
      "name": "Evaluation",
      "content": "Submit your predictions on test data in a `<roll_number>.csv` file in the following format:\n\n```\nId,Predictions\n1.0,2000.0\n2.0,2000.0\n3.0,2000.0\n.\n.\n10000.0,2000.0\n```",
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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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