reformat + fix train split name

TGIF.py

@@ -26,11 +26,14 @@ _URL_BASE = "http://raingo.github.io/TGIF-Release/"
 
 _DL_URL = "https://huggingface.co/datasets/Leyo/TGIF/resolve/main/data.tar.gz"
 
+
 class TGIFConfig(datasets.BuilderConfig):
     """BuilderConfig for TGIF."""
 
     def __init__(self, **kwargs):
-        super(TGIFConfig, self).__init__(version=datasets.Version("2.1.0", ""), **kwargs)
+        super(TGIFConfig, self).__init__(
+            version=datasets.Version("2.1.0", ""), **kwargs)
+
 
 class TGIF(datasets.GeneratorBasedBuilder):
 
@@ -56,32 +59,32 @@ class TGIF(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         archive_path = dl_manager.download(_DL_URL)
         train_splits = [
-                datasets.SplitGenerator(
-                    name="train",
-                    gen_kwargs={
-                        "files": dl_manager.iter_archive(archive_path),
-                        "split": "train"
-                    },
-                )
-            ]
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": dl_manager.iter_archive(archive_path),
+                    "split": "train"
+                },
+            )
+        ]
         dev_splits = [
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    gen_kwargs={
-                        "files": dl_manager.iter_archive(archive_path),
-                        "split": "dev"
-                    },
-                )
-            ]
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "files": dl_manager.iter_archive(archive_path),
+                    "split": "dev"
+                },
+            )
+        ]
         test_splits = [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={
-                        "files": dl_manager.iter_archive(archive_path),
-                        "split": "test"
-                    },
-                )
-            ]
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "files": dl_manager.iter_archive(archive_path),
+                    "split": "test"
+                },
+            )
+        ]
         return train_splits + dev_splits + test_splits
 
     def _generate_examples(self, files, split):
@@ -97,18 +100,16 @@ class TGIF(datasets.GeneratorBasedBuilder):
         for path, f in files:
             if path.endswith("tgif-v1.0.tsv"):
                 tsv_file = f.read().decode("utf-8").split("\n")[:-1]
-                tsv_reader = csv.reader(tsv_file, delimiter="\t", quotechar='"' ) 
-                for idx, (video_link,text) in enumerate(tsv_reader):
+                tsv_reader = csv.reader(
+                    tsv_file, delimiter="\t", quotechar='"')
+                for idx, (video_link, text) in enumerate(tsv_reader):
                     try:
                         dict[video_link].append(text)
                     except Exception:
                         pass
-                        
+
         for idx, video_link in enumerate(dict):
             yield idx, {
                 "video_id": video_link,
                 "captions": dict[video_link],
             }
-                
-        
-