---
license: openrail++
task_categories:
- table-question-answering
---

BiomedSQL

[GitHub](https://github.com/NIH-CARD/biomedsql)

[Paper](https://huggingface.co/papers/2505.20321)

Dataset Summary<br>
BiomedSQL is a text-to-SQL benchmark designed to evaluate Large Language Models (LLMs) on scientific tabular reasoning tasks. It consists of curated question-SQL query-answer triples covering a variety of biomedical and SQL reasoning types. The benchmark challenges models to apply implicit
scientific criteria rather than simply translating syntax.

benchmark_data: contains the question-SQL query-answer triples. Please note that you will have to replace the ```{project_id}``` string in the provided "gold" queries with the GCP project that you create your DB in if you wish to rerun them.<br>
db_data: contains the parquet files needed to recreate the tables in the evaluation database.