ViText2SQL: A dataset for Vietnamese Text-to-SQL semantic parsing

ViText2SQL is a dataset for the Vietnamese Text-to-SQL semantic parsing task, consisting of about 10K question and SQL query pairs. The construction of ViText2SQL is detailed in our EMNLP-2020 Findings paper:

@inproceedings{vitext2sql,
    title     	= {{A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese}},
    author    	= {Anh Tuan Nguyen and Mai Hoang Dao and Dat Quoc Nguyen},
    booktitle   = {Findings of the Association for Computational Linguistics: EMNLP 2020},
    year      	= {2020},
    pages       = {4079--4085}
}

By downloading the ViText2SQL dataset, USER agrees:

to use ViText2SQL for research or educational purposes only.
to not distribute ViText2SQL or part of ViText2SQL in any original or modified form.
and to cite our EMNLP-2020 Findings paper above whenever ViText2SQL is employed to help produce published results.

The user can also download from here our pre-trained Word2Vec syllable and word embeddings for Vietnamese that we used in our experiments.

Copyright (c) 2020 VinAI Research

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ViText2SQL: A dataset for Vietnamese Text-to-SQL semantic parsing (EMNLP-2020 Findings)

semantic-parsing text-to-sql vietnamese