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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-generation |
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language: |
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- en |
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size_categories: |
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- n<1K |
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--- |
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# BIQA Text-to-SQL Dataset |
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The data is from the [Stack Overflow Developer Survey 2023](https://survey.stackoverflow.co/2023/). |
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Created with this [Notebook](https://colab.research.google.com/drive/12NUeRMsld0toXMSXKFMaQVAv58XwOAT1?usp=sharing); uses [this spreadsheet](https://docs.google.com/spreadsheets/d/1Xh_TgMbyitvtw08g0byEmBpkwDGZDdBYenthOzcK6qI/edit?usp=sharing) defining manual adjustments. |
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- `data/eval_set_multi_answers_res.json`: Question and query pairs as list of `SQLSample`s with possibly more than one valid SQL for a question. Also results included. |
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- `data/survey_results_normalized_v2.db`: The main sqlite db file. |
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The json file contains a list of `SQLSample` objects as defined: |
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```python |
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@dataclass |
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class SQLQuery: |
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query: str |
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results: Optional[list[tuple]] = None |
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@dataclass |
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class SQLSample: |
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question: str |
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labels: list[SQLQuery] |
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prediction: Optional[SQLQuery] = None |
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pred_eval: str = "" |
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comment: str = "" |
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``` |
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Can be read in through the code from the [related repository](https://github.com/deepset-ai/biqa-llm). |
