README.md

---
license: cc-by-sa-4.0
task_categories:
- text-generation
dataset_info:
  features:
  - name: db_id
    dtype: string
  - name: question
    dtype: string
  - name: evidence
    dtype: string
  - name: SQL
    dtype: string
  - name: difficulty
    dtype: string
  - name: question_id
    dtype: int64
  - name: sql_constructs
    list: string
  - name: sql_complexity
    dtype: int64
  - name: sql_complexity_buckets
    dtype: string
  - name: sqlglot_schema
    dtype: string
  - name: table_in_sql
    list: string
  - name: column_in_sql
    list: string
  - name: columns_used_to_join_in_sql
    list: string
  - name: schema
    struct:
    - name: schema
      dtype: string
  - name: schema_no_exp
    struct:
    - name: schema
      dtype: string
  splits:
  - name: train
    num_bytes: 125258621
    num_examples: 9074
  - name: dev
    num_bytes: 18084535
    num_examples: 1528
  - name: minidev
    num_bytes: 6033291
    num_examples: 495
  download_size: 2000452
  dataset_size: 149376447
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: dev
    path: data/dev-*
  - split: minidev
    path: data/minidev-*
---

# Dataset

This dataset is a polished version of the BIRD dataset. It was introduced in the paper [Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL](https://huggingface.co/papers/2504.15077).

It has been used to train the reasoning Text2SQL model [simone-papicchio/Think2SQL-7B](https://huggingface.co/simone-papicchio/Think2SQL-7B).

Please refer to the paper for further details. 

**License:** CC BY-SA 4.0

# Citation

```bibtex
@misc{papicchio2025think2sqlreinforcellmreasoning,
      title={Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL}, 
      author={Simone Papicchio and Simone Rossi and Luca Cagliero and Paolo Papotti},
      year={2025},
      eprint={2504.15077},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2504.15077}, 
}
```