richardr1126/spider-context-validation

Dataset Card for Spider Context Validation

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 validate spider-fine-tuned LLMs 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

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}
}