Update PlotQA_dataset.py

PlotQA_dataset.py

@@ -74,7 +74,7 @@ class PlotQA(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "imgname": datasets.Value("string"),
-                "image": datasets.Image(),
+                #"image": datasets.Image(),
                 #"version": datasets.Value("string"),
                 "query": datasets.Sequence(datasets.Value("string")),
                 "query_token": datasets.Sequence(datasets.Value("string")),
@@ -160,10 +160,10 @@ class PlotQA(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, annotation_v1_path:str, annotation_v2_path:str, img_anno_path:str  ,images_path: str):
         #Load image folder
         # open file
-        file = tarfile.open(images_path)
+        ## file = tarfile.open(images_path)
         # extracting file
-        file.extractall('./imgs')
-        file.close()
+        ## file.extractall('./imgs')
+        ## file.close()
         _multi_anno = [annotation_v1_path, annotation_v2_path]
   
         idx = 0
@@ -173,7 +173,7 @@ class PlotQA(datasets.GeneratorBasedBuilder):
             item = {}
             item["img_ann"] = ele
             item["imgname"] = str(ele['image_index'])+'.png'
-            item['image'] = os.path.join('./imgs',item['imgname'])
+            # item['image'] = os.path.join('./imgs',item['imgname'])
             item["query_token"] = []
             qa_returns = find_qa(annotation_v1_path,annotation_v2_path, item['image_index'])
             _question = []