| dataset_info: | |
| features: | |
| - name: query_id | |
| dtype: int64 | |
| - name: database_id | |
| dtype: string | |
| - name: table_id | |
| sequence: string | |
| - name: query | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: difficulty | |
| dtype: string | |
| - name: evidence | |
| dtype: string | |
| splits: | |
| - name: validation | |
| num_bytes: 625951 | |
| num_examples: 1534 | |
| download_size: 208192 | |
| dataset_size: 625951 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: validation | |
| path: data/validation-* | |
| bibtext ref | |
| ``` | |
| @article{li2024can, | |
| title={Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls}, | |
| author={Li, Jinyang and Hui, Binyuan and Qu, Ge and Yang, Jiaxi and Li, Binhua and Li, Bowen and Wang, Bailin and Qin, Bowen and Geng, Ruiying and Huo, Nan and others}, | |
| journal={Advances in Neural Information Processing Systems}, | |
| volume={36}, | |
| year={2024} | |
| } | |
| ``` | |