SQL
Datasets
All datasets matching “SQL”sql-create-context
Overview
This dataset builds from WikiSQL and Spider.
There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from different DBMS and provides table names, column… See the full description on the dataset page: https://huggingface.co/datasets/b-mc2/sql-create-context.synthetic_text_to_sql
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synthetic_text_to_sql
gretelai/synthetic_text_to_sql is a rich dataset of high quality synthetic Text-to-SQL samples,
designed and generated using Gretel Navigator, and released under Apache 2.0.
Please see our release blogpost for more details.
The dataset includes:
105,851 records partitioned into 100,000 train and 5,851 test records
~23M total tokens, including ~12M SQL tokens
Coverage across 100 distinct… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/synthetic_text_to_sql.BIRD-SQL-data-train
Dataset Card for "BIRD-SQL-data-train"
Data from BIRD-SQL benchmark training set.
wmo-bird-sql-traces
bird-sql — real agent-environment traces
Text-to-SQL over real SQLite databases: the agent explores a copy of the task's database and schema, then submits a SQL query.
Every trace is a REAL run: an LLM agent stepping against the actual benchmark environment, with
each transition (tool call → true environment observation) recorded as OpenTelemetry GenAI spans
(traces.otel.jsonl, one span per line). Captured by
world-model-harness's
environment-capture package, which also holds… See the full description on the dataset page: https://huggingface.co/datasets/experiential-labs/wmo-bird-sql-traces.bird-critic-1.0-sqlite
📢 Update 2026-03-23
We release BIRD-Critic-SQLite, a dataset containing 500 high-quality user issues focused on real-world SQLite database applications. Along with the dataset, we also release three RL-trained models: BIRD-Talon-14B, BIRD-Talon-7B, and BIRD-Zeno-7B. The schema file is included in the code repository https://github.com/bird-bench/BIRD-CRITIC-1/blob/main/baseline/data/sqlite_schema.jsonl
BIRD-CRITIC-1.0-SQLite
BIRD-Critic is the first SQL debugging… See the full description on the dataset page: https://huggingface.co/datasets/birdsql/bird-critic-1.0-sqlite.terminalbench-sqlite-db
