Update PlotQA_dataset.py

PlotQA_dataset.py

@@ -73,12 +73,12 @@ class PlotQA(datasets.GeneratorBasedBuilder):
     def _info(self):
         features = datasets.Features(
             {
-                "imgname": datasets.Value("string"),
+                #"imgname": datasets.Value("string"),
                 "image": datasets.Image(),
                 "version": datasets.Value("string"),
-                "query": datasets.Value("string"),
+                #"query": datasets.Value("string"),
                 "query_token": datasets.Sequence(datasets.Value("string")),
-                "label": datasets.Value("string"),
+                #"label": datasets.Value("string"),
                 "img_ann": datasets.Value("string"),
                 ###
                 "image_index": datasets.Value("string"),
@@ -146,7 +146,8 @@ class PlotQA(datasets.GeneratorBasedBuilder):
         # extracting file
         file.extractall('./imgs')
         file.close()
-        _multi_anno = [annotation_v1_path, annotation_v2_path]
+        #_multi_anno = [annotation_v1_path, annotation_v2_path]
+        _multi_anno = [annotation_v1_path]
         idx = 0
         
         ###
@@ -156,11 +157,11 @@ class PlotQA(datasets.GeneratorBasedBuilder):
                 #returns the examples in the raw in json file
                 for item in data:
                     item = copy.deepcopy(item)
-                    item["imgname"] = item["image_index"]
+                    #item["imgname"] = item["image_index"]
                     item["image"] = os.path.join('./imgs',item["image_index"])
                     item["query_token"] = []
-                    item["query"] = item["question_string"]
-                    item["label"] = item["answer"]
+                    #item["query"] = item["question_string"]
+                    #item["label"] = item["answer"]
                     
                     item["version"] = "temp"
                     item["img_ann"] = "TBD"