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[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
[ { "role": "system", "content": "You are a SQL analyst for a SQLite database.\n\nReturn ONLY valid SQLite SELECT statements. Rules:\n- \"order\" is a RESERVED KEYWORD in SQLite. Always quote it: FROM \"order\"\n- Dates are stored as TEXT. Use strftime() for any date arithmetic or extraction.\n- Use explicit ...
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BIRD SQLite Text-to-SQL SFT Dataset

Supervised fine-tuning data for a SQLite-dialect text-to-SQL specialist model, built from the BIRD benchmark train split.

Contents

  • 7,483 train + 408 val examples spanning 69 distinct database schemas (movie_platform, chicago_crime, hockey, mondial_geo, works_cycles, and 64 others), split by a stratified per-database 95/5 hold-out (sft_sqlite_ train.jsonl / sft_sqlite_val.jsonl) with zero exact overlap between them.
  • Format: JSONL, one Fireworks/OpenAI-compatible chat-completion example per line: {"messages": [{"role": "system", ...}, {"role": "user", ...}, {"role": "assistant", ...}]}.
  • The system message contains the full schema context (DDL, column documentation, distinct-value grounding for coded columns, date-format samples) for that example's database, plus SQLite dialect rules.
  • The user message is the natural-language question. BIRD's evidence field is appended as a Hint: line for ~33% of examples (not ~93% as in raw BIRD) — production inference never sends a hint, so training on it as the default would teach a crutch inference can't provide; stratified per database so no db_id loses all its hint-bearing or all its hint-free coverage.
  • The assistant message is the gold SQL wrapped as {"sql": "<query>"} for ~96% of examples. The remaining ~4% (295 train / 17 val) are synthetic refusal examples -- requests that ARE database-related but outside a read-only SELECT's scope (insert/update/delete, schema changes, export/ email/admin-access requests, prompt-injection-adjacent asks) -- labeled {"sql": null, "refusal": "<one-sentence reason>"}. Grounded in real table/column names from the same 69 databases, across 6 categories, spread throughout the file (not clustered), so the model learns to decline regardless of which real schema it's looking at.

Changes from the raw BIRD train split (verified, not assumed)

  • Dropped 9 SELECT * gold queries (contradicted the system prompt's "return only the exact column(s) asked" rule).
  • Removed a ROUND() rounding instruction from the system prompt that 99.8% of gold SQL didn't follow (checked whether it correlated with aggregating a REAL vs. INTEGER column as a principled exception — it didn't).
  • Capped the largest database (works_cycles, originally 474 of 9,428 examples on its own, and also the single largest schema by token count) to 150 via seeded random sampling, not positional truncation.
  • Output is shuffled (fixed seed), not grouped by database as in a naive per-db write loop.
  • Added 312 synthetic refusal examples (see above) -- BIRD's train split only contains valid, answerable SELECT questions, so this behavior had to be added, not mined.

This mirrors, field-for-field, the production prompt contract of the text-to-SQL agent this dataset was built alongside — see the source repo for the agent implementation this data is meant to fine-tune.

Source & License

Derived from the BIRD benchmark's train split (train.json, train_tables.json, per-database .sqlite files and database_description/ CSVs). BIRD is released under CC BY-SA 4.0; this derivative dataset is released under the same license per its ShareAlike terms.

@inproceedings{li2023can,
  title={Can {LLM} Already Serve as a Database Interface? A {BI}g Bench for Large-Scale Database Grounded Text-to-{SQL}s},
  author={Li, Jinyang and Hui, Binyuan and Qu, Ge and others},
  booktitle={NeurIPS},
  year={2023}
}

Notes

  • All 7,891 lines (train + val) validated as parseable JSON with the correct system/user/assistant role order and an assistant field that itself parses as either {"sql": "<query>"} or {"sql": null, "refusal": "<reason>"}.
  • The large majority of tokens in this dataset are schema-grounding text (69 unique schema blocks repeated across their respective examples), not question/SQL content — worth knowing before estimating fine-tuning token costs.
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