---
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
```python
from datasets import load_dataset

dataset = load_dataset("OneGate/OGText2SQL")
```


> API
```shell
curl -X GET \
     "/static-proxy?url=https%3A%2F%2Fdatasets-server.huggingface.co%2Frows%3Fdataset%3DOneGate%252FOGText2SQL%26config%3Ddefault%26split%3Dtrain%26offset%3D0%26length%3D100"
```

# 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.