add image paths

NLVR2.py

@@ -44,6 +44,13 @@ _SPLITS = {
     "test1": "test1.json",
     "test2": "test2.json",
 }
+_JZ_IMG_FOLDER_PATH = f"{os.environ['cnw_ALL_CCFRSCRATCH']}/local_datasets/nlvr2"
+_IMG_SPLITS = {
+    "train": "train.zip",
+    "validation": "dev.zip",
+    "test1": "test1.zip",
+    "test2": "test2..zip",
+}
 
 
 class NLVR2Dataset(datasets.GeneratorBasedBuilder):
@@ -57,7 +64,7 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(
-                {
+                {   
                     "identifier": datasets.Value("string"),
                     "sentence": datasets.Value("string"),
                     "left_image": datasets.Image(),
@@ -80,31 +87,49 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
             },
         }
         files_path = dl_manager.download_and_extract(urls)
+
+        images_files = {
+            "Default": {
+                "train": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["train"]),
+                "validation": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["validation"]),
+                "test1": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["test1"]),
+                "test2": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["test2"]),
+            },
+        }
+        images_path = os.path.join(
+            dl_manager.extract(images_files),
+            "nlvr2-images"
+        )
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"files_paths": [files_path[self.config.name]["train"]]},
+                gen_kwargs={"files_paths": [files_path[self.config.name]["train"]], "images_path": images_path, "split_name": "train"},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"files_paths": [files_path[self.config.name]["validation"]]},
+                gen_kwargs={"files_paths": [files_path[self.config.name]["validation"]], "images_path": images_path, "split_name": "dev"},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"files_paths": [files_path[self.config.name]["test1"], files_path[self.config.name]["test2"]]},
+                gen_kwargs={"files_paths": [files_path[self.config.name]["test1"], files_path[self.config.name]["test2"]], "images_path": images_path, "split_name": "test1"},
             ),
         ]
 
-    def _generate_examples(self, files_paths):
+    def _generate_examples(self, files_paths, images_path, split_name):
         idx = 0
         for path in files_paths:
             for line in open(path).readlines():
                 ex = json.loads(line)
+                common_img_identifier = ex["identifier"].split("-")
+                left_img_identifier = f"{split_name-common_img_identifier[1]}-{common_img_identifier[2]}-img0.png"
+                right_img_identifier = f"{split_name-common_img_identifier[1]}-{common_img_identifier[2]}-img1.png"
+                left_image_path = str(os.path.join(images_path, left_img_identifier))
+                right_image_path = str(os.path.join(images_path, right_img_identifier))
                 record = {
                     "identifier": ex["identifier"],
                     "sentence": ex["sentence"],
-                    "left_image": str(ex["left_url"]),
-                    "right_image": str(ex["right_url"]),
+                    "left_image": left_image_path,
+                    "right_image": right_image_path,
                     "label": ex["label"],
                 }
                 idx += 1