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+ # LLMSQL Benchmark
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+ This benchmark is designed to evaluate text-to-SQL models. For usage of this benchmark see `https://github.com/LLMSQL/llmsql-benchmark`.
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+ ## Files
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+
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+ - `tables.jsonl` — Database table metadata
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+ - `questions.jsonl` — All available questions
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+ - `train_questions.jsonl`, `val_questions.jsonl`, `test_questions.jsonl` — Data splits for finetuning, see `https://github.com/LLMSQL/llmsql-benchmark`
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+ - `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`.
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+ `test_output.jsonl` is **not included** in the dataset.
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+
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+ ## Citation
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+ If you use this benchmark, please cite:
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+ ```
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+ @inproceedings{llmsql_bench,
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+ title={LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQLels},
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+ author={Pihulski, Dzmitry and Charchut, Karol and Novogrodskaia, Viktoria and Koco{'n}, Jan},
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+ booktitle={2025 IEEE International Conference on Data Mining Workshops (ICDMW)},
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+ pages={...},
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+ year={2025},
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+ organization={IEEE}
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+ }
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+ ```