{
  "fetched_at": "2026-10-19T21:39:08Z",
  "source_url": "https://www.kaggle.com/competitions/cs6320final/data",
  "pages": [
    {
      "name": "data-description",
      "content": "**Login eLearning to get data**\n\nThe dataset consists of two json files: train.json and test.json. These files are different from the original release of the CoNNL-2003 since we have already processed and tokenized them for you. Hence, the documents are represented as a list of strings. The dataset is not split into separate training and development/validation sets. You will need to do this yourself as needed using train set.\n\nThe train file contain the following 4 fields (each is a nested list):\n\n'text' - actual input tokens\n'NER' - the entity tag (LOC/MISC/O/ORG/PER)\n'POS' - the parts of speech tag (will be handy for feature engineering of the MEMM model)\n'index' - index of the token in the dataset\nThe test data only has 'text', 'POS' and 'index' fields. You will need to submit your prediction of 'NER' tag to the Kaggle.",
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    {
      "name": "Description",
      "content": "## Find and classify named entities in the CoNLL-2003 dataset.",
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    {
      "name": "Evaluation",
      "content": "**Evaluation Metric**\n\nSee instruction PDF Part 3\n\n**Submission Format**\n\nSee instruction PDF Part 3",
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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 - Have fun!",
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      "hasIsPublished": false,
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      "hasPostTitle": false,
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