label

README.md

@@ -13,7 +13,7 @@ size_categories:
 ## 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. 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.
 
-WARN: alignment data (i.e., `nl_ralign` and `align`) is not implemented.
+WARN: alignment data (i.e., `nl_ralign` and `align`) is not implemented. The label of test set is unknown.
 
 ## Source
 Please refer to [github repo](https://github.com/tzshi/squall/) for source data.

squall.py

@@ -282,8 +282,8 @@ class Squall(datasets.GeneratorBasedBuilder):
                     "nl_incolumns": sample["nl_incolumns"],
                     "nl_incells": sample["nl_incells"],
                     "columns_innl": sample["columns_innl"],
-                    # "tgt": '',
-                    # "sql": [],
+                    "tgt": '',
+                    "sql": [],
                     # "align": sample["align"]
                 }
                 idx += 1