script wip

ANAKIN.py

@@ -110,10 +110,25 @@ class Anakin(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # 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/"
-        )
+        metadata_dir = dl_manager.download_and_extract(urls)
+
+        random.seed(47)
+        root_url = "https://huggingface.co/datasets/AlexBlck/ANAKIN/resolve/main/"
+        df = pd.read_csv(metadata_dir)
+        ids = df["video-id"].to_list()
+        random.shuffle(ids)
+
+        data_urls = [
+            {
+                "full": root_url + f"full/{idx}.mp4",
+                "trimmed": root_url + f"trimmed/{idx}.mp4",
+                "edited": root_url + f"edited/{idx}.mp4",
+                "masks": root_url + f"masks/{idx}/",
+            }
+            for idx in ids
+        ]
+        data_dir = dl_manager.download_and_extract(data_urls)
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -121,7 +136,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": data_dir,
                     "split": "train",
-                    "trimmed_dir": trimmed_dir,
+                    "ids": ids[:342],
                 },
             ),
             datasets.SplitGenerator(
@@ -130,7 +145,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": data_dir,
                     "split": "dev",
-                    "trimmed_dir": trimmed_dir,
+                    "ids": ids[342:],
                 },
             ),
             datasets.SplitGenerator(
@@ -143,17 +158,11 @@ class Anakin(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    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)
-        ids = df["video-id"].to_list()
-        random.shuffle(ids)
-        if split == "train":
-            for key, idx in enumerate(ids[:342]):
-                yield key, {
-                    "full": root_url + f"full/{idx}.mp4",
-                    "trimmed": trimmed_dir + f"{idx}.mp4",
-                    "edited": root_url + f"edited/{idx}.mp4",
-                    "masks": root_url + f"masks/{idx}/",
-                }
+    def _generate_examples(self, filepath, ids, split):
+        for key, idx in enumerate(ids):
+            yield key, {
+                "full": filepath + f"full/{idx}.mp4",
+                "trimmed": filepath + f"trimmed/{idx}.mp4",
+                "edited": filepath + f"edited/{idx}.mp4",
+                "masks": filepath + f"masks/{idx}/",
+            }