datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.sql-create-context-copy
Fork of b-mc2/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… See the full description on the dataset page: https://huggingface.co/datasets/philschmid/sql-create-context-copy.CSpider_and_DUSQL_sql_create_context此数据集原始数据集是合并CSpider和DUSQL。根据b-mc2/sql-create-context所创建。
sql-create-context-id
Overview
This dataset is a fork from sql-create-context
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… See the full description on the dataset page: https://huggingface.co/datasets/detakarang/sql-create-context-id.CSpider_sql_create_context此数据集原始数据集是CSpider。根据b-mc2/sql-create-context所创建。
sql-create-context-spider-intersectsql-create-context-v2
sql-create-context-v2 Dataset
Overview
The sql-create-context-v2 dataset enhances the original dataset built from WikiSQL and Spider, focusing on text-to-SQL tasks with a special emphasis on reducing hallucination of column and table names. This version introduces a JSONL format for more efficient data processing and iteration, alongside a structured approach to representing SQL queries in the dataset entries.
Key Enhancements
Dataset Format: Transitioned to… See the full description on the dataset page: https://huggingface.co/datasets/ramachetan22/sql-create-context-v2.sql-create-context-thai
Overview
This dataset builds from sql-create-context.
@misc{b-mc2_2023_sql-create-context,
title = {sql-create-context Dataset},
author = {b-mc2},
year = {2023},
url = {https://huggingface.co/datasets/b-mc2/sql-create-context},
note = {This dataset was created by modifying data from the following sources: \cite{zhongSeq2SQL2017, yu2018spider}.},
}
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/dipanjanS/sql-create-context.llama2-sql-create-contextzephyr-sql-create-contextvalidated-sql-create-contextsql-context-skripsirefined-sql-create-context
Overview
refined-sql-create-context is a high-quality dataset for training and evaluating Text-to-SQL models. It builds upon the sql-create-context dataset by ensuring that all SQL queries are executable in a MySQL database, resolving schema inconsistencies, and refining query validity. The dataset consists of natural language questions, their corresponding table schemas, and SQL queries that generate results from the given schema context with 11,632 examples.
Supported… See the full description on the dataset page: https://huggingface.co/datasets/MertML/refined-sql-create-context.CSpider_and_DUSQL_sql_create_context此数据集原始数据集是合并CSpider和DUSQL。根据b-mc2/sql-create-context所创建。