comment train

NLVR2.py

@@ -39,13 +39,13 @@ _LICENSE = "CC BY 4.0"
 
 _URL_BASE = "https://raw.githubusercontent.com/lil-lab/nlvr/master/nlvr2/data/"
 _SPLITS = {
-    "train": "train.json",
+    # "train": "train.json",
     "validation": "dev.json",
     "test1": "test1.json",
 }
 _JZ_IMG_FOLDER_PATH = f"{os.environ['cnw_ALL_CCFRSCRATCH']}/local_datasets/nlvr2/"
 _IMG_SPLITS = {
-    "train": "train_nlvr2.tar.gz",
+    # "train": "train_nlvr2.tar.gz",
     "validation": "dev_nlvr2.tar.gz",
     "test1": "test1_nlvr2.tar.gz",
 }
@@ -78,7 +78,7 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         urls = {
             "Default": {
-                "train": os.path.join(_URL_BASE, _SPLITS["train"]),
+                # "train": os.path.join(_URL_BASE, _SPLITS["train"]),
                 "validation": os.path.join(_URL_BASE, _SPLITS["validation"]),
                 "test1": os.path.join(_URL_BASE, _SPLITS["test1"]),
             },
@@ -86,18 +86,18 @@ class NLVR2Dataset(datasets.GeneratorBasedBuilder):
         files_path = dl_manager.download_and_extract(urls)
 
         images_files = {
-            "train": os.path.join(_JZ_IMG_FOLDER_PATH, _IMG_SPLITS["train"]),
+            # "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"]),
         }
-        train_img_path = os.path.join(dl_manager.extract(images_files["train"]),  "train_nlvr2")
+        # train_img_path = os.path.join(dl_manager.extract(images_files["train"]),  "train_nlvr2")
         validation_img_path = os.path.join(dl_manager.extract(images_files["validation"]),  "dev_nlvr2")
         test1_img_path = os.path.join(dl_manager.extract(images_files["test1"]),  "test1_nlvr2")
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"files_path": files_path[self.config.name]["train"], "images_path": train_img_path, "split_name": "train"},
-            ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.TRAIN,
+            #     gen_kwargs={"files_path": files_path[self.config.name]["train"], "images_path": train_img_path, "split_name": "train"},
+            # ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={"files_path": files_path[self.config.name]["validation"], "images_path": validation_img_path, "split_name": "dev"},