Datasets:
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---
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 \
"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. |