| --- |
| language: |
| - en |
| license: |
| - cc-by-4.0 |
| source_datasets: |
| - spider |
| pretty_name: Spider Context Instruct |
| tags: |
| - text-to-sql |
| - SQL |
| - Spider |
| - fine-tune |
| dataset_info: |
| features: |
| - name: db_id |
| dtype: string |
| - name: text |
| dtype: string |
| --- |
| |
| # Dataset Card for Spider Context Instruct |
|
|
| ### Dataset Summary |
|
|
| Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students |
| The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases. |
|
|
| This dataset was created to finetune LLMs in a `### Instruction:` and `### Response:` format with database context. |
|
|
| ### Yale Lily Spider Leaderboards |
|
|
| The leaderboard can be seen at https://yale-lily.github.io/spider |
|
|
| ### Languages |
|
|
| The text in the dataset is in English. |
|
|
| ### Licensing Information |
|
|
| The spider dataset is licensed under |
| the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode) |
|
|
| ### Citation |
| ``` |
| @article{yu2018spider, |
| title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task}, |
| author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others}, |
| journal={arXiv preprint arXiv:1809.08887}, |
| year={2018} |
| } |
| ``` |
