datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.SQaLe-text-to-SQL-dataset
🧮 SQALE: A Large-Scale Semi-Synthetic Dataset
SQALE is a large-scale, semi-synthetic Text-to-SQL dataset grounded in real-world database schemas.
It was designed to push the boundaries of natural language to SQL generation, combining realistic schema diversity, complex query structures, and linguistically varied natural language questions.
The dataset was introduced in the paper SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas. The code for the generation pipeline of this… See the full description on the dataset page: https://huggingface.co/datasets/trl-lab/SQaLe-text-to-SQL-dataset.100000_text_to_sqlgretel-synthetic-text-to-sql
Fork of gretelai/synthetic_text_to_sql
The gretelai/synthetic_text_to_sql dataset is a large, Apache 2.0 licensed, synthetic Text-to-SQL dataset consisting of 105,851 high-quality records across 100 diverse domains, designed for training language models. It includes comprehensive SQL tasks with varying complexities, database contexts, natural language explanations, and contextual tags, outperforming existing datasets in SQL correctness and standards compliance.
bird_text_to_sql
Dataset Card for "bird_text_to_sql"
More Information needed
spider-text-to-sql
Spider Text-to-SQL with LLM-Judge Labels
This dataset extends Spider 1.0 with SQL predictions from gpt-5.4-mini and two correctness labels per example: a hybrid ground truth label and an LLM judge label from gpt-5.4.
Files
File
Description
spider_dataset.parquet
Full dataset with predictions and labels
scripts/
Reproduction scripts (see below)
Dataset statistics
Source: Spider 1.0 training split (train_spider.json)
Databases: the… See the full description on the dataset page: https://huggingface.co/datasets/Glide-py/spider-text-to-sql.Text-to-sql-v1spider_text_to_sql
Dataset Card for "spider_text_to_sql"
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bird_spider_train_text_to_sql
Dataset Card for "bird_spider_train_text_to_sql"
More Information needed
Persian-Business-Text-to-SQL-Gold-1K
Persian Business Text-to-SQL Gold-1K
1,000 Persian-native, execution-verified business Text-to-SQL examples for fine-tuning and benchmarking.
مجموعهای ۱۰۰۰ نمونهای برای تبدیل درخواستهای فارسی کسبوکار به SQL، همراه با دیتابیسهای SQLite اجرایی، schema کامل، متادیتای سختی/مهارت و ارزیابی مبتنی بر Execution Accuracy.
Motivation
BIRD emphasizes database-grounded Text-to-SQL and execution accuracy; Spider 2.0 pushes toward realistic enterprise database workflows.… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/Persian-Business-Text-to-SQL-Gold-1K.text-to-sql-shop
Text-to-SQL on a seeded store schema, with checkpoints
A question about an online store's database in, one PostgreSQL query out, graded by
a program: run the query, compare the result set to the gold query's result. The
schema (8 tables, seeded, schema.sql + seed.sql), the verifier, the trainer and
the benchmark runner are the
recipes/04-train/text-to-sql
recipe in the open-source whileai SDK.
Splits
config
rows
what
train
1764
tasks: question, gold_sql… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/text-to-sql-shop.text-to-sql-spider-dataset
Text-to-SQL Dataset
A curated dataset for training text-to-SQL models. This dataset contains natural language questions paired with corresponding SQL queries, formatted for instruction fine-tuning.
📊 Dataset Summary
Total Samples: 20000
Format: Chat template (system/user/assistant messages)
Task: Text-to-SQL generation
Language: English
License: apache-2.0
📁 Dataset Structure
Data Format
Each example contains a conversation with three roles:… See the full description on the dataset page: https://huggingface.co/datasets/chrisjcc/text-to-sql-spider-dataset.spider-clean-text-to-sqlenterprise-text-to-sql-benchmark
Enterprise Text-to-SQL Benchmark
3,045 natural-language questions paired with executable PostgreSQL, over a
12-table enterprise schema (sales, catalogue, logistics, HR).
Built to answer one question honestly: does fine-tuning actually improve
text-to-SQL? On this benchmark, a QLoRA fine-tune of Qwen3-8B took strict
execution accuracy from 10.82 % to 50.99 % — and the benchmark is designed
so that number cannot be inflated by leakage or by string-matching.
split
rows… See the full description on the dataset page: https://huggingface.co/datasets/hari-krishna-ai/enterprise-text-to-sql-benchmark.text-to-sql-with-evidence-training-pool
Text to SQL training pool with evidence
A training pool for text-to-SQL models, assembled from the public corpora that publish both a
question and a SQL query, with the databases those queries run against. Every query here was
executed against its own database when the pool was built, and the rows whose query did not run
were left out, so a query in this pool is a query that works.
One of the sources publishes an evidence sentence with each question, the outside knowledge the… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/text-to-sql-with-evidence-training-pool.Text-to-sql-query-generationspider-clean-text-to-sql-2Rethinking_Enterprise_Text_to_SQL
Rethinking Enterprise Text to SQL Dataset
📖 Overview
This repository serves as the foundational data warehouse for an Enterprise-grade Vertical Domain Question-Answering Dataset.
Unlike traditional Text-to-SQL benchmarks, this dataset simulates real-world enterprise scenarios where users possess only a natural language question and a large, unstructured knowledge base (long_doc). The core challenge lies in knowledge mining and reasoning: models must extract… See the full description on the dataset page: https://huggingface.co/datasets/XuWave/Rethinking_Enterprise_Text_to_SQL.repro-beyond-text-to-sql-can-llms-really-debug-enterprise-etl-sql-traces
Agent traces
Agent sessions published from a Trackio Logbook.
enterprise-text-to-sql-verified
Verified Multi-Dialect Enterprise Text-to-SQL Dataset
This dataset contains 100% deterministically verified Text-to-SQL instruction pairs across multiple cloud warehouse dialects (DuckDB, PostgreSQL, Snowflake, BigQuery).
Features
Deterministic Execution: Every query executed and verified in DuckDB memory before ingestion.
Multi-Dialect Translation: Native PostgreSQL, Snowflake, and BigQuery transpiled variants included.
ShareGPT Structured: Formatted for direct… See the full description on the dataset page: https://huggingface.co/datasets/Zeknichov/enterprise-text-to-sql-verified.text-to-sql-training-pool
Text to SQL training pool
A training pool for text-to-SQL models, assembled from the public corpora that publish both a
question and a SQL query, with the databases those queries run against. Every query here was
executed against its own database when the pool was built, and the rows whose query did not run
were left out, so a query in this pool is a query that works.
The pool ships in two layers over the same data. Use whichever suits the job.
rows.jsonl is the normalised… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/text-to-sql-training-pool.spider-clean-text-to-sql-4bird_text_to_sqltext-to-sql-processed-v2enterprise-sql-text-to-db-sft-dpo-2026
💎 Enterprise SQL, Text-to-DB & Schema-Aware Query Architect SFT/DPO Dataset (2026)
High-precision instruction tuning and preference optimization dataset with step-by-step Chain-of-Thought (<thought>) reasoning chains for fine-tuning LLMs (Llama-3.3, Qwen-2.5-Coder, DeepSeek-R1-Distill, Mistral, Phi-4) into Senior Enterprise Database Architects.
📊 Dataset Overview
Format: OpenAI ChatML & ShareGPT format with <thought> reasoning tokens.
Dialect Coverage (5… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/enterprise-sql-text-to-db-sft-dpo-2026.text-to-sql-eval-predictions
What the text-to-SQL models actually generated
Every prediction behind the numbers in
qwen3-8b-text2sql-qlora: the 453 test
questions of the enterprise text-to-SQL benchmark,
each answered by four configurations of the same model, each answer executed against the reference
PostgreSQL database and scored by comparing result sets. 1,812 rows.
I published this because the headline table (10.82 % → 50.99 % → 52.10 %) is the least interesting part of
that project. The interesting… See the full description on the dataset page: https://huggingface.co/datasets/hari-krishna-ai/text-to-sql-eval-predictions.text-to-sql-phrasing-robustness
Does sloppy phrasing break text-to-SQL?
The enterprise text-to-SQL benchmark
lists its own biggest caveat: every question is template-generated, so real user phrasing is untested.
This is the test. 35 test questions (one per template), each sent to the deployed
pipeline four ways: as written, with a typo, in business shorthand, and stripped to a terse fragment.
24 questions and 85 answers survive the filter described under Setup; every answer was
executed against the database.… See the full description on the dataset page: https://huggingface.co/datasets/hari-krishna-ai/text-to-sql-phrasing-robustness.text-to-sql-mix-v1
Text-to-SQL Training Mix v1
A curated, deduplicated and quality-filtered mix of six high-quality
text-to-SQL datasets from HuggingFace, designed for fine-tuning code LLMs
(Qwen 2.5 Coder, DeepSeek Coder, Llama-3, etc.) on SQL generation.
This dataset powers the SQL Generator in the SQL Agent LLMOps project.
Schema
Field
Type
Description
id
string
Stable hash-based identifier
instruction
string
Natural language question / instruction
schema_context
string… See the full description on the dataset page: https://huggingface.co/datasets/DanielRegaladoCardoso/text-to-sql-mix-v1.Text-to-sql-v1text-to-sql-wip-100k