take off split name

NLVR2.py

@@ -95,19 +95,19 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"files_paths": [files_path[self.config.name]["train"]], "images_paths": [train_img_path], "split_name": "train"},
+                gen_kwargs={"files_paths": [files_path[self.config.name]["train"]], "images_paths": [train_img_path]},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"files_paths": [files_path[self.config.name]["validation"]], "images_paths": [validation_img_path], "split_name": "dev"},
+                gen_kwargs={"files_paths": [files_path[self.config.name]["validation"]], "images_paths": [validation_img_path]},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"files_paths": [files_path[self.config.name]["test1"], files_path[self.config.name]["test2"]], "images_paths": [test1_img_path, test2_img_path], "split_name": "test"},
+                gen_kwargs={"files_paths": [files_path[self.config.name]["test1"], files_path[self.config.name]["test2"]], "images_paths": [test1_img_path, test2_img_path]},
             ),
         ]
 
-    def _generate_examples(self, files_paths, images_paths, split_name):
+    def _generate_examples(self, files_paths, images_paths):
         idx = 0
         for i, files_path in enumerate(files_paths):
             for line in open(files_path).readlines():
@@ -115,7 +115,7 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
                 common_img_identifier = ex["identifier"].split("-")
                 left_img_identifier = f"{common_img_identifier[0]}-{common_img_identifier[1]}-{common_img_identifier[2]}-img0.png"
                 right_img_identifier = f"{common_img_identifier[0]}-{common_img_identifier[1]}-{common_img_identifier[2]}-img1.png"
-                if split_name == "train":
+                if common_img_identifier[0] == "train":
                     directory = str(ex["directory"])
                     left_image_path = str(os.path.join(images_paths[i], directory, left_img_identifier))
                     right_image_path = str(os.path.join(images_paths[i], directory, right_img_identifier))