get data from repo

ActivityNet_Captions

@@ -28,6 +28,7 @@ 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."""
@@ -64,13 +65,13 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download_and_extract(
-            _URL_BASE + "captions.zip")
+        archive_path = dl_manager.download(_DL_URL)
 
         train_splits = [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
+                    "files": dl_manager.iterable(archive_path),
                     "ids_file": os.path.join(archive_path, "train_ids.json"),
                     "infos_file": os.path.join(archive_path, "train.json")
                 },
@@ -80,6 +81,7 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
+                    "files": dl_manager.iterable(archive_path),
                     "ids_file": os.path.join(archive_path, "val_ids.json"),
                     "infos_file": os.path.join(archive_path, "val_1.json")
                 },
@@ -89,6 +91,7 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
+                    "files": dl_manager.iterable(archive_path),
                     "ids_file": os.path.join(archive_path, "test_ids.json"),
                     "infos_file": os.path.join(archive_path, "val_2.json")
                 },
@@ -96,26 +99,29 @@ class ActivityNet(datasets.GeneratorBasedBuilder):
         ]
         return train_splits + dev_splits + test_splits
 
-    def _generate_examples(self, ids_file, infos_file):
+    def _generate_examples(self, files, ids_file, infos_file):
         """This function returns the examples."""
 
-        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,
-                    "video_id": datasets.Value("string"),
-                    "path": datasets.Value("string"),
-                    "duration": infos[id]["duration"],
-                    "starts": starts,
-                    "ends": ends,
-                    "captions": infos[id]["sentences"],
-                }
+        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,
+                            "video_id": datasets.Value("string"),
+                            "path": datasets.Value("string"),
+                            "duration": infos[id]["duration"],
+                            "starts": starts,
+                            "ends": ends,
+                            "captions": infos[id]["sentences"],
+                        }