script wip

ANAKIN.py

@@ -111,6 +111,9 @@ class Anakin(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         urls = _URLS[self.config.name]
         data_dir = dl_manager.download_and_extract(urls)
+        trimmed_dir = dl_manager.download_and_extract(
+            "https://huggingface.co/datasets/AlexBlck/ANAKIN/resolve/main/trimmed/"
+        )
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -118,6 +121,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": data_dir,
                     "split": "train",
+                    "trimmed_dir": trimmed_dir,
                 },
             ),
             datasets.SplitGenerator(
@@ -126,6 +130,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": data_dir,
                     "split": "dev",
+                    "trimmed_dir": trimmed_dir,
                 },
             ),
             datasets.SplitGenerator(
@@ -138,7 +143,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath, split, trimmed_dir):
         random.seed(47)
         root_url = "https://huggingface.co/datasets/AlexBlck/ANAKIN/resolve/main/"
         df = pd.read_csv(filepath)
@@ -148,7 +153,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
             for key, idx in enumerate(ids[:342]):
                 yield key, {
                     "full": root_url + f"full/{idx}.mp4",
-                    "trimmed": root_url + f"trimmed/{idx}.mp4",
+                    "trimmed": trimmed_dir + f"{idx}.mp4",
                     "edited": root_url + f"edited/{idx}.mp4",
                     "masks": root_url + f"masks/{idx}/",
                 }