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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. The label of test set is unknown.
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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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  ## 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: labels of test set are unknown.
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  ## Source
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  Please refer to [github repo](https://github.com/tzshi/squall/) for source data.