Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
< 1K
ArXiv:
License:
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task_categories:
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- information-extraction
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- text-classification
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- question-answering
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task_ids:
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- entity-extraction
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- multi-label-classification
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- open-domain-qa
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---
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# CaseReportBench: Clinical Dense Extraction Benchmark
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---
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##
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- **Expert-annotated**, system-wise phenotypic labels mimicking clinical assessments
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- Based on real-world **PubMed Central-indexed clinical case reports**
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task_categories:
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- information-extraction
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- text-classification
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task_ids:
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- entity-extraction
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- multi-label-classification
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---
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# CaseReportBench: Clinical Dense Extraction Benchmark
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---
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## Key Features
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- **Expert-annotated**, system-wise phenotypic labels mimicking clinical assessments
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- Based on real-world **PubMed Central-indexed clinical case reports**
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