{
  "dataset": "NanoBIRCO",
  "benchmark": "BIRCO",
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  "doc_limit": 10000,
  "bm25_top_k": 100,
  "candidate_policy": "Rank the selected split corpus with BM25, keep up to top-100 candidates, and force qrels-positive documents into the final candidate list when missing.",
  "splits": [
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    {
      "split_name": "NanoBIRCOClinicalTrial",
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    {
      "split_name": "NanoBIRCODorisMae",
      "source_task": "BIRCO-DorisMae",
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      "corpus": 5544,
      "qrels": 1569,
      "tokenization_plan": {
        "mode": "stemmer",
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      "missing_positive_doc_count_after_forcing": 0
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    {
      "split_name": "NanoBIRCORelic",
      "source_task": "BIRCO-Relic",
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      "corpus": 5023,
      "qrels": 100,
      "tokenization_plan": {
        "mode": "stemmer",
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      "missing_positive_doc_count_after_forcing": 0
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    {
      "split_name": "NanoBIRCOWTB",
      "source_task": "BIRCO-WTB",
      "queries": 100,
      "corpus": 1766,
      "qrels": 100,
      "tokenization_plan": {
        "mode": "stemmer",
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  ]
}