Datasets:
metadata
license: openrail++
task_categories:
- table-question-answering
BiomedSQL
Dataset Summary
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.
db_data: contains the parquet files needed to recreate the tables in the evaluation database.