| | --- |
| | 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} |
| | } |
| | ``` |
