{
  "fetched_at": "2026-10-19T19:10:44Z",
  "source_url": "https://www.kaggle.com/competitions/aist4010-spring2024-a2/data",
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    {
      "name": "data-description",
      "content": "- `train.fasta`: You are supposed to use train data set to train your model for the task.\n- `val.fasta`: You are supposed to use val data to validate the classification F-score.\n- `test.fasta`: You are supposed to assign classes for images in test data and submit your result.\n- `sample-submission.csv`: This is a sample submission file for this competition.",
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    {
      "name": "Description",
      "content": "This is the Kaggle part of Assignment 2.\n\nIn this task, your system will be given raw sequence protein sequences (translated from genes) as input. First, your system needs to classify the input into ARG or non-ARG. Then if the input is a non-ARG, your system needs to output the class 'nonarg'. If the input is an ARG, your system needs go futher to predict resistant antibiotic type. Here we have 14 antibiotic families. The system should decide which family the predicted ARG resistant to.",
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      "name": "Evaluation",
      "content": "The evaluation metric is macro F-score. \n\n## Submission Format\n\nThe submission '.csv' file should contain two columns: `id` and `label`.\n\nThe file should contain a header and have the following format:\n```\nid,label\nSEQ0,10\nSEQ1,12\nSEQ2,9\n...,...\n```",
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    {
      "name": "rules",
      "content": " - Don't cheat!\n - Beat the baseline!\n - Have fun!",
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