Update vasr.py

vasr.py

@@ -60,13 +60,13 @@ class Vasr(datasets.GeneratorBasedBuilder):
                 "label": datasets.Value("int64"),
                 "candidates": [datasets.Value("string")],
                 "A_verb": datasets.Value("string"),
+                "A'_verb": datasets.Value("string"),
                 "B_verb": datasets.Value("string"),
-                "C_verb": datasets.Value("string"),
-                "D_verb": datasets.Value("string"),
+                "B'_verb": datasets.Value("string"),
                 "diff_item_A": datasets.Value("string"),
                 "diff_item_A_str_first": datasets.Value("string"),
-                "diff_item_B": datasets.Value("string"),
-                "diff_item_B_str_first": datasets.Value("string"),
+                "diff_item_A'": datasets.Value("string"),
+                "diff_item_A'_str_first": datasets.Value("string"),
             }
         )
         return datasets.DatasetInfo(
@@ -111,7 +111,7 @@ class Vasr(datasets.GeneratorBasedBuilder):
         df = pd.read_csv(examples_csv)
 
         # d_keys = ['A_img', 'B_img', 'C_img', 'candidates', 'label', 'D_img', 'A_verb', 'B_verb', 'C_verb', 'D_verb', 'diff_item_A', 'diff_item_A_str_first', 'diff_item_B', 'diff_item_B_str_first']
-        d_keys = ["A", "A'", "B", "B'", 'candidates', 'label', 'A_verb', 'B_verb', 'C_verb', 'D_verb', 'diff_item_A', 'diff_item_A_str_first', 'diff_item_B', 'diff_item_B_str_first']
+        d_keys = ["A", "A'", "B", "B'", 'candidates', 'label', 'A_verb', "A'_verb", 'B_verb', "B'_verb", 'diff_item_A', 'diff_item_A_str_first', "diff_item_A'", "diff_item_A'_str_first"]
 
         for r_idx, r in df.iterrows():
             r_dict = r.to_dict()
@@ -126,5 +126,10 @@ class Vasr(datasets.GeneratorBasedBuilder):
             r_dict["A'"] = r_dict['B_img']
             r_dict["B"] = r_dict['C_img']
             r_dict["B'"] = r_dict['D_img']
+            r_dict["A'_verb"] = r_dict['B_verb']
+            r_dict["B_verb"] = r_dict['C_verb']
+            r_dict["B'_verb"] = r_dict['D_verb']
+            r_dict["diff_item_A'_str_first"] = r_dict['diff_item_B_str_first']
+
             relevant_r_dict = {k:v for k,v in r_dict.items() if k in d_keys or k == 'candidates_images'}
             yield r_idx, relevant_r_dict