try download from original source

ActivityNet_Captions.py

@@ -28,7 +28,6 @@ in the paper.
 
 _URL_BASE = "https://cs.stanford.edu/people/ranjaykrishna/densevid/"
 
-_DL_URL = "https://huggingface.co/datasets/Leyo/ActivityNet_Captions/resolve/main/captions.tar.gz"
 
 class ActivityNetConfig(datasets.BuilderConfig):
     """BuilderConfig for ActivityNet Captions."""
@@ -65,13 +64,13 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download(_DL_URL)
+        archive_path = dl_manager.download_and_extract(
+            _URL_BASE + "captions.zip")
 
         train_splits = [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "files": dl_manager.iter_archive(archive_path),
                     "ids_file": os.path.join(archive_path, "train_ids.json"),
                     "infos_file": os.path.join(archive_path, "train.json")
                 },
@@ -81,7 +80,6 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "files": dl_manager.iter_archive(archive_path),
                     "ids_file": os.path.join(archive_path, "val_ids.json"),
                     "infos_file": os.path.join(archive_path, "val_1.json")
                 },
@@ -91,7 +89,6 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "files": dl_manager.iter_archive(archive_path),
                     "ids_file": os.path.join(archive_path, "test_ids.json"),
                     "infos_file": os.path.join(archive_path, "val_2.json")
                 },
@@ -99,27 +96,24 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
         ]
         return train_splits + dev_splits + test_splits
 
-    def _generate_examples(self, files, ids_file, infos_file):
+    def _generate_examples(self, ids_file, infos_file):
         """This function returns the examples."""
 
-        for path, f in files:
-            if path == infos_file:
-                with open(f, encoding="utf-8") as json_file:
-                    infos = json.load(json_file)
-        for path, f in files:
-            if path == ids_file:
-                with open(f, encoding="utf-8") as json_file:
-                    ids = json.load(json_file)
-                    for idx, id in enumerate(ids):
-                        path = "https://www.youtube.com/watch?v=" + id[2:]
-                        starts = [timestamp[0]
-                                for timestamp in infos[id]["timestamps"]]
-                        ends = [timestamp[1] for timestamp in infos[id]["timestamps"]]
-                        yield idx, {
-                            "video_id": id,
-                            "path": path,
-                            "duration": infos[id]["duration"],
-                            "starts": starts,
-                            "ends": ends,
-                            "captions": infos[id]["sentences"],
-                        }
+        with open(infos_file, encoding="utf-8") as json_file:
+            infos = json.load(json_file)
+
+        with open(ids_file, encoding="utf-8") as json_file:
+            ids = json.load(json_file)
+            for idx, id in enumerate(ids):
+                path = "https://www.youtube.com/watch?v=" + id[2:]
+                starts = [timestamp[0]
+                          for timestamp in infos[id]["timestamps"]]
+                ends = [timestamp[1] for timestamp in infos[id]["timestamps"]]
+                yield idx, {
+                    "video_id": id,
+                    "path": path,
+                    "duration": infos[id]["duration"],
+                    "starts": starts,
+                    "ends": ends,
+                    "captions": infos[id]["sentences"],
+                }