Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
Owen commited on
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- question-answering
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language:
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- en
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- question-answering
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language:
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- en
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size_categories:
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- 10K<n<100K
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---
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# CARDBiomedBench
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[Paper](link) | [Github](https://github.com/NIH-CARD/CARDBiomedBench)
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## Dataset Summary
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CARDBiomedBench is a biomedical question-answering benchmark designed to evaluate Large Language Models (LLMs) on complex biomedical tasks. It consists of a curated set of question-answer pairs covering various biomedical domains and reasoning types, challenging models to demonstrate deep understanding and reasoning capabilities in the biomedical field.
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## Data Fields
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- `uuid`: *string* - Unique identifier for the question-answer pair.
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- `template_uuid`: *string* - Unique identifier of the original template question from which this instance was derived.
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- `question`: *string* - The biomedical question posed in the dataset.
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- `answer`: *string* - The corresponding answer to the question.
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- `bio_category`: *string* - The biological category or categories associated with the question. Multiple categories are separated by a semicolon (`;`).
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- `reasoning_category`: *string* - The reasoning category or categories associated with the question. Multiple categories are separated by a semicolon (`;`).
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## Citation
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```
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@article{,
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title={},
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author={},
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journal={},
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year={}
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}
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```
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