| license: apache-2.0 | |
| 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.<br> | |
| db_data: contains the parquet files needed to recreate the tables in the evaluation database. |