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@@ -19,7 +19,9 @@ This benchmark is designed to evaluate text-to-SQL models. For usage of this ben
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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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  - `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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+ - `sqlite_tables.db` — sqlite db with tables from `tables.jsonl`, created with the help of `create_db_sql`.
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+ - `create_db.sql` — SQL script that creates the database `sqlite_tables.db`.
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  `test_output.jsonl` is **not included** in the dataset.
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