columns

squall.py

@@ -266,8 +266,12 @@ class Squall(datasets.GeneratorBasedBuilder):
             for sample in test_data:
                 cols = {}
                 keys = ["raw_header", "tokenized_header", "column_suffixes", "column_dtype", "example"]
+                n_col = len(sample["columns"])
                 for k in range(5):
-                    cols.update({keys[k]: sample["columns"][k]})
+                    tmp = []
+                    for j in range(n_col):
+                        tmp.append(sample["columns"][j][k])
+                    cols[keys[k]] = tmp
                 sql = [x[1] for x in sample["sql"]]
                 yield idx, {
                     "nt": sample["nt"],