license: cc
language:
- en
- fr
- de
- vi
- zh
- ja
- es
size_categories:
- 10K<n<100K
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). Find more details on paper and code.
Please be aware that the MultiSpider dataset is available in two versions: with_English_value and with_original_value. Our reported results are based on the with_English_value version to circumvent any discrepancies between the entities in the questions and the values in the database.
The with_original_value version is a byproduct of the dataset creation process, which may be of interest for more in-depth research on this localized dataset.
with_English_value: Führen Sie die Namen der Sängerinnen und Sänger auf, deren Staatsbürgerschaft nicht „France“ lautet.
with_original_value: Führen Sie die Namen der Sängerinnen und Sänger auf, deren Staatsbürgerschaft nicht "Frankreich" lautet.
Results
| Model | EN | DE | ES | FR | JA | ZH | VI |
|---|---|---|---|---|---|---|---|
| Paper Report | 68.8 | 64.8 | 67.4 | 65.3 | 60.2 | 66.1 | 67.1 |
| Released Model | 69.5 | 65.1 | 68.1 | 66.7 | 60.9 | 67.4 | 69.1 |
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}
}