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. 1.0.2 of all queries → test
2. 2.0.2 of the remaining queries → dev
3. 3.the rest → train

The shared PubMed corpus is unchanged from the source dataset.

Structure

Dataset statistics

• —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.