README.md

metadata

license: mit
task_categories:
  - table-question-answering
language:
  - en
pretty_name: SQUALL
size_categories:
  - 10K<n<100K

SQUALL Dataset

To explore the utility of fine-grained, lexical-level supervision, authors introduce SQUALL, a dataset that enriches 11,276 WikiTableQuestions English-language questions with manually created SQL equivalents plus alignments between SQL and question fragments.

Code

Please refer to our github repo for code implementation.

Contact

For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).

Citation

@inproceedings{Shi:Zhao:Boyd-Graber:Daume-III:Lee-2020,
    Title = {On the Potential of Lexico-logical Alignments for Semantic Parsing to {SQL} Queries},
    Author = {Tianze Shi and Chen Zhao and Jordan Boyd-Graber and Hal {Daum\'{e} III} and Lillian Lee},
    Booktitle = {Findings of EMNLP},
    Year = {2020},
}