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"),
@@ -155,13 +155,13 @@ class PlotQA(datasets.GeneratorBasedBuilder):
             with open(anno_path, "r", encoding="utf-8") as f:
                 data = json.load(f)
                 #returns the examples in the raw in json file
-                for item in data:
-                    item = copy.deepcopy(item)
-                    #item["imgname"] = item["image_index"]
-                    item["image"] = os.path.join('./imgs',item["image_index"])
+                for idx in range(0,len(data['qa_pairs'])-1):
+                    item = copy.deepcopy(data['qa_pairs'][idx])
+                    item["imgname"] = item["image_index"]
+                    item["image"] = os.path.join('./imgs',item["imgname"]) + '.png'
                     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"