Datasets:
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Download README.md from Bhupati1998/BioEvidence-Datasets: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Bhupati1998/BioEvidence-Datasets/resolve/main/README.md
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hf download hf://datasets/Bhupati1998/BioEvidence-Datasets/README.md
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1.68 kB
metadata
language:
- en
license: mit
task_categories:
- question-answering
- text2text-generation
tags:
- biomedical
- pubmedqa
- medquad
- evidence-based-medicine
pretty_name: BioEvidence-SFT
size_categories:
- 1K<n<10K
Dataset Card: BioEvidence-SFT & BioEvidence-Eval
Dataset Summary
The BioEvidence-SFT and BioEvidence-Eval datasets are curated instruction-tuning and benchmarking corpora designed for evidence-grounded biomedical NLP tasks.
- GitHub Repository (Code & Pipeline): https://github.com/PRATHMESHTALHANDE/BioEvidence-LLM-4bit-QLoRA
- Model Adapter: https://huggingface.co/Bhupati1998/BioEvidence-LLM-1.5B
Subsets & Splits
- BioEvidence-SFT-v0.1: 100 balanced pilot samples across all 7 taxonomy tasks (100% human-rubric validated).
- BioEvidence-SFT-full: 880 multi-source training samples formatted in ChatML format.
- BioEvidence-Eval-v0.1: 156 held-out evaluation samples with zero article/PMID overlap with training data.
Provenance & Sources
- PubMedQA (MIT License): Expert-annotated research questions with
yes/no/maybedecisions. - MedQuAD (NIH Public Domain): 12 NIH institute consumer and clinician health resources.
- PubMed (NCBI E-utilities): Controlled queries for randomized clinical trials.
- PMC Open Access (CC-BY): Full-text open-access articles via the BioC API.
Leakage Prevention
All splits are grouped strictly by PubMed ID (PMID) or PubMed Central ID (PMCID). No articles or abstracts exist in both training and evaluation subsets.