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  ## SQUALL Dataset
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- 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.
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- ## Code
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- Please refer to our [github repo](https://github.com/tzshi/squall/) for code implementation.
 
 
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  ## Contact
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  For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).
 
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  ## SQUALL Dataset
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+ 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. 5-fold splits are applied to the full dataset (1 fold as dev set at each time). The subset defines which fold is selected as the validation dataset.
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+ WARN: alignment data (i.e., `nl_ralign` and `align`) is not implemented.
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+ ## Source
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+ Please refer to [github repo](https://github.com/tzshi/squall/) for source data.
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  ## Contact
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  For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).