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MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing

In this work, we present MultiSpider, a multilingual text-to-SQL dataset which covers seven languages (English, German, French, Spanish, Japanese, Chinese, and Vietnamese). Please find more details on paper, code and data.

Citation

If you use our dataset or codebase, please cite our paper:

@inproceedings{Dou2022MultiSpiderTB,
  title={MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing},
  author={Longxu Dou and Yan Gao and Mingyang Pan and Dingzirui Wang and Wanxiang Che and Dechen Zhan and Jian-Guang Lou},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={2023},
  url={https://ojs.aaai.org/index.php/AAAI/article/view/26499/26271}
}