README.md

metadata

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

BiomedSQL

GitHub

Paper

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.

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.
    
• db_data: contains the parquet files needed to recreate the tables in the evaluation database.