datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ICKG-immunology-triple-extraction-sft
ICKG 免疫学知识三元组抽取 SFT 数据集
本数据集用于从 PubMed 免疫学摘要中抽取生物医学知识三元组的指令微调（SFT）。每条样本是一段对话（system / user / assistant），assistant 即为该摘要抽取出的三元组 JSON 数组。配套的微调 adapter 见 Siyu2Zhou/Baichuan-M2-32B-QLoRA-immunology-triples。
数据规模
切分
文件
样本数
train
train.jsonl
4,500
validation
val.jsonl
250
test
test.jsonl
250
合计
5,000 篇摘要
三元组总数 52,597，平均 10.5 条/篇（最少 3、最多 30）。
5,000 篇按「关系覆盖 + 三元组密度」分层抽样（A/B/C 三档 = 2000/2000/1000），并做关系再平衡（associated_with ≥ 35%、increases ≤… See the full description on the dataset page: https://huggingface.co/datasets/Siyu2Zhou/ICKG-immunology-triple-extraction-sft.faers-immunology-drug-safety
Immunology & Rheumatology — Drug Safety Intelligence (FAERS 2020–2025)
Version: 1.0.0 | Records: 535,632 | Source: FDA FAERS
Dataset Summary
Structured adverse event reports for immunology and rheumatology drugs from the FDA's FAERS
database, 2020–2025. Covers serious adverse events only (hospitalization,
life-threatening outcomes, death). Each record includes the suspect drug(s),
reported reactions (MedDRA coded), patient demographics, outcome codes,
reporter… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/faers-immunology-drug-safety.