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.gretel-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.
enterprise-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.synthetic_text_to_sql_th
Synthetic Text-to-SQL Thai Dataset
Thai translation of the gretelai/synthetic_text_to_sql dataset.
Dataset Description
This dataset contains Thai translations of synthetic text-to-SQL examples covering various domains and SQL patterns.
Source
Original Dataset: gretelai/synthetic_text_to_sql
Created by: Gretel.ai
Statistics
Split
Rows
Train
100,000
Test
5,851
Total
105,851
Columns
Column
Description… See the full description on the dataset page: https://huggingface.co/datasets/Porameht/synthetic_text_to_sql_th.synthetic_text_to_sql_en_es
Dataset basado en la versión de GretelAI - SyntheticSQL
synthetic_text_to_sql_en_es
Se trata de una expansión mediante la traducción al español de la columna 'sql_prompt'.
Se ha añadido una columna extra 'sql_prompt_es' que contiene el prompt original de inglés traducido al español.
Para obtener estas traducciones, se utilizó few-shot prompting + CoT mediante el modelo Qwen/Qwen2.5-32B-Instruct-AWQ
Actualización 6/27/25
En la versión pasada se encontraron… See the full description on the dataset page: https://huggingface.co/datasets/TafcoMetawireless/synthetic_text_to_sql_en_es.reasoning-sft-synthetic_text_to_sql-128K
synthetic_text_to_sql (converted)
Converted version of gretelai/synthetic_text_to_sql, reformatted to 100,000 rows for reasoning SFT training.
Format
Each row has three columns:
input — list of dicts [{"role": "system", "content": "..."}, {"role": "user", "content": "..."}] (system prompt contains the database schema, user prompt contains the natural language question)
response — response string with <think> reasoning block (SQL explanation) followed by the SQL query… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-synthetic_text_to_sql-128K.synthetic-text-to-sql-tr
Cognipeer/synthetic-text-to-sql-tr
Overview
Cognipeer/synthetic-text-to-sql-tr is a Turkish translation of the gretelai/synthetic_text_to_sql dataset. 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.
Dataset Features: The dataset includes 12 main feature:
id (int32)
domain (string)
domain_description (string)
sql_complexity (string)… See the full description on the dataset page: https://huggingface.co/datasets/Cognipeer/synthetic-text-to-sql-tr.synthetic_text_to_sql_d14
This dataset is subset of "gretelai/synthetic_text_to_sql"
Data Cleaning
The original dataset get filtered based on the following criteria:
(sql_context + sql) Validate against the SQLite database.
Tables must have some records.
We must get some output after running the "sql" query.
Subset Creation
I picked 3 sql complexity and 14 domains to create a subset.
SQL_COMPLEXITY = ['basic SQL', 'aggregation','single join']
DOMAINS = [
"technology", "sports", "logistics"… See the full description on the dataset page: https://huggingface.co/datasets/djagatiya/synthetic_text_to_sql_d14.sample_synthetic_text_to_sql
Sample Synthetic Text to SQL Dataset
The dataset presents a substantial collection of expertly crafted Text-to-SQL samples, generated using open source LLM's and
shared under an open-source license. Highlights of the dataset include:
-- 1563 examples, divided into a training set of 1200 samples and a test set of 363 samples.-- Approximately less than 1 million tokens in total, with nearly 0.5 million representing code-specific tokens.-- Coverage spans a diverse range of 3… See the full description on the dataset page: https://huggingface.co/datasets/chakshu2/sample_synthetic_text_to_sql.