DinoStackAI/bioasq-rag-13b-resplit

BioASQ RAG 13B (Resplit)

Reshuffled version of DinoStackAI/bioasq-rag-13b for Retrieval-Augmented Generation (RAG).

All original train, dev and test queries were merged, shuffled with seed 42, and reassigned using:

1. 0.2 of all queries → test
2. 0.2 of the remaining queries → dev
3. the rest → train

The shared PubMed corpus is unchanged from the source dataset.

Structure

Subset	Splits	Description
corpus	train (default)	PubMed abstracts shared across all query splits
queries	train, dev, test	Biomedical questions
qrels	train, dev, test	Relevance judgments (query ↔ document)
answers	train, dev, test	Reference answers

Dataset statistics

Split	Queries	Corpus
train	3668	44183
dev	916	44183
test	1145	44183

• Total queries merged: 5729
• Test ratio: 0.2
• Dev ratio (after test): 0.2
• Random seed: 42

Schema

corpus

{"id": "24323361", "title": "...", "text": "..."}

queries

{"id": "...", "text": "..."}

qrels

{"query_id": "...", "corpus_id": "24323361", "score": 1}

answers

{"query_id": "...", "answer": "..."}

Usage

from datasets import load_dataset

corpus = load_dataset("DinoStackAI/bioasq-rag-13b-resplit", "corpus")["train"]
queries = load_dataset("DinoStackAI/bioasq-rag-13b-resplit", "queries")
qrels = load_dataset("DinoStackAI/bioasq-rag-13b-resplit", "qrels")
answers = load_dataset("DinoStackAI/bioasq-rag-13b-resplit", "answers")

train_queries = queries["train"]
dev_qrels = qrels["dev"]
test_answers = answers["test"]

Citation

BioASQ data are distributed under CC BY 2.5. If you use this dataset, please cite the original BioASQ challenge papers:

Nentidis, A., G. Katsimpras, A. Krithara, and G. Paliouras, "Overview of BioASQ Tasks 13b and Synergy13 in CLEF2025", CLEF 2025 Working Notes, 2025.

George Tsatsaronis et al., "An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition", BMC bioinformatics, 2015.