---
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
size_categories:
- n<1K
---

# BIQA Text-to-SQL Dataset

The data is from the [Stack Overflow Developer Survey 2023](https://survey.stackoverflow.co/2023/).

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.

- `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.
- `data/survey_results_normalized_v2.db`: The main sqlite db file.

The json file contains a list of `SQLSample` objects as defined:

```python
@dataclass
class SQLQuery:
    query: str
    results: Optional[list[tuple]] = None

@dataclass
class SQLSample:
    question: str
    labels: list[SQLQuery]
    prediction: Optional[SQLQuery] = None
    pred_eval: str = ""
    comment: str = ""
```

Can be read in through the code from the [related repository](https://github.com/deepset-ai/biqa-llm).