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---
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.

**Repository Organization**
- **benchmark_data**: contains the question-SQL query-answer triples.
  - Please note that you will have to replace the ```{project_id}``` and ```{dataset_name}``` placeholder strings in the ```benchmark_query``` column with the names of the GCP project and BigQuery dataset that you create if you wish to rerun them. Our GitHub code automatically handles this entity replacement through ```.env``` configurations when running experiment code.<br>
- **db_data**: contains the parquet files needed to recreate the tables in the evaluation database.