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--- |
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license: mit |
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language: |
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- en |
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- zh |
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tags: |
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- sql |
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- text2sql |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text2text-generation |
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pretty_name: OGText2SQL |
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--- |
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# Dataset Summary |
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**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. |
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# How to use it |
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> Python |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("OneGate/OGText2SQL") |
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``` |
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> API |
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```shell |
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curl -X GET \ |
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"https://datasets-server.huggingface.co/rows?dataset=OneGate%2FOGText2SQL&config=default&split=train&offset=0&length=100" |
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``` |
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# Dataset Structure |
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## Data Instances |
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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. |
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## Data Fields |
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- `context`: the instruction to generate SQL. |
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- `question`: the human input. |
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- `SQL`: the generated SQL query. |
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- `source`: the source dataset of the sample. |
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## Languages |
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The language of the data is mainly English, with other languages. |
