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.BIRD-SQL-data-train
Dataset Card for "BIRD-SQL-data-train"
Data from BIRD-SQL benchmark training set.
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.
sql-multiturn-training-dataset-combinedbird-sql-train-evalbird_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.earthquakes
California Earthquakes 1967-2018
Location, magnitude and type of 2.5+ magnitude earthquakes in California from 1967 to 2018.
Source: https://kepler.gl/
spider_text_to_sql
Dataset Card for "spider_text_to_sql"
More Information needed
bird_spider_train_text_to_sql
Dataset Card for "bird_spider_train_text_to_sql"
More Information needed
b2_code_fasttext_pos_ioi_neg_sql_eval_636d
mlfoundations-dev/b2_code_fasttext_pos_ioi_neg_sql_eval_636d
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
Accuracy
16.7
57.8
76.2
27.8
39.4
43.4
41.9
14.9
17.7
AIME24
Average Accuracy: 16.67% ± 1.33%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
10.00%
3
30
2
13.33%
4
30
3
16.67%
5
30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/b2_code_fasttext_pos_ioi_neg_sql_eval_636d.BIRD-SQL-data
Dataset Card for "BIRD-SQL-data"
More Information needed
task076_splash_correcting_sql_mistake
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task076_splash_correcting_sql_mistake
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task076_splash_correcting_sql_mistake.BIRD-SQL-data-train-CoTPart of BIRD sql train dataset added with chain of thought distilled from DeepSeek-R1
task077_splash_explanation_to_sql
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task077_splash_explanation_to_sql
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task077_splash_explanation_to_sql.bird-sql-train-with-reasoning
bird-sql-train-with-reasoning
Short description: BirdSQL training set (Text-to-SQL) enhanced with chain-of-thought / reasoning traces.
License: Apache-2.0
Enhanced with reasoning traces using Nemo Data Designer and openai/gpt-oss-120b
Schema (example fields)
Each record contains fields like:
db_id (string)
question (string)
evidence (nullable / string)
SQL (string)
schema (string)
reasoning_trace (string or json-serialized object)
quality_assessment (optional; string or… See the full description on the dataset page: https://huggingface.co/datasets/meowterspace45/bird-sql-train-with-reasoning.SPIDER_SQL_synth_data_w_Claude3_Haikupip-txt-to-sql-spider-bird-dataset
Dataset Card for "spider-bird"
More Information needed
shareGPT_SQLi_datasetsqlautophagy_D_train_spiderBIRD-SQL-data-traintext-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.sqlautophagy_D_validation_spiderspider-clean-text-to-sqlbird-sql
BIRD-SQL Dataset
BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) is a comprehensive text-to-SQL dataset featuring realistic databases and complex queries across multiple domains.
This dataset maintains the exact original BIRD format and field names.
Dataset Statistics
Train: ~9,400 examples
Validation: ~1,500 examples
Total: ~10,900 examples
Databases: 80+ realistic databases
Quick Start
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Sudnya/bird-sql.BIRD-SQL-data-train-formattedtask107_splash_question_to_sql
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task107_splash_question_to_sql
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task107_splash_question_to_sql.shareGPT_SQLi_dataset_v2