README.md

metadata

license: mit
language:
  - en
  - zh
tags:
  - sql
  - text2sql
size_categories:
  - 100K<n<1M
task_categories:
  - text2text-generation
pretty_name: OGText2SQL

Dataset Summary

OGText2SQL dataset was utilized in training the OGSQL model, this dataset comprises over 350,000 rows of text-to-SQL pairs. Through a series of data refining steps, including schema expansion, SQL refinement, and instruction generation using existing Language Models (LLMs), the dataset was meticulously processed to ensure quality and relevance.

How to use it

Python

from datasets import load_dataset

dataset = load_dataset("OneGate/OGText2SQL")

API

curl -X GET \
     "https://datasets-server.huggingface.co/rows?dataset=OneGate%2FOGText2SQL&config=default&split=train&offset=0&length=100"

Dataset Structure

Data Instances

Each data instance in this dataset represents a text-to-SQL entry where the instruction has been formatted with the table schema and question. The output is the SQL in SQlite dialect.

Data Fields

• context: the instruction to generate SQL.
• question: the human input.
• SQL: the generated SQL query.
• source: the source dataset of the sample.

Languages

The language of the data is mainly English, with other languages.