README.md

---
datasets:
- llmsql-bench/llmsql-benchmark
tags:
- text-to-sql
- benchmark
- evaluation
license: mit
language:
- en
---

# LLMSQL Benchmark

This benchmark is designed to evaluate text-to-SQL models. For usage of this benchmark see `https://github.com/LLMSQL/llmsql-benchmark`.

## Files

- `tables.jsonl` — Database table metadata
- `questions.jsonl` — All available questions
- `train_questions.jsonl`, `val_questions.jsonl`, `test_questions.jsonl` — Data splits for finetuning, see `https://github.com/LLMSQL/llmsql-benchmark`
- `create_db.sql` — SQL script to create the database schema. Optional, you do not need this file, you can download the ready .db file from the repo `llmsql-bench/llmsql-benchmark-db`.

`test_output.jsonl` is **not included** in the dataset.

## Citation
If you use this benchmark, please cite:

```
@inproceedings{llmsql_bench,
  title={LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQLels},
  author={Pihulski, Dzmitry and  Charchut, Karol and Novogrodskaia, Viktoria and Koco{'n}, Jan},
  booktitle={2025 IEEE International Conference on Data Mining Workshops (ICDMW)},
  pages={...},
  year={2025},
  organization={IEEE}
}
```