iter masks

ANAKIN.py

@@ -122,12 +122,14 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 "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(data_urls)
         # data_dir = dl_manager.iter_files(data_dir)
+        mask_dir = dl_manager.download_and_extract(
+            {idx: root_url + f"masks/{idx}.zip" for idx in ids}
+        )
 
         return [
             datasets.SplitGenerator(
@@ -135,6 +137,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "files": data_dir,
+                    "masks": mask_dir,
                 },
             ),
             datasets.SplitGenerator(
@@ -142,18 +145,22 @@ class Anakin(datasets.GeneratorBasedBuilder):
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "files": data_dir,
+                    "masks": mask_dir,
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "files": os.path.join(data_dir, "metadata.csv"),
+                    "files": data_dir,
+                    "masks": mask_dir,
                 },
             ),
         ]
 
-    def _generate_examples(self, files):
+    def _generate_examples(self, files, masks):
         for key, sample in enumerate(files):
+            idx = sample["trimmed"].split("/")[-1].split(".")[0]
+            sample["masks"] = masks[idx]
             print(sample)
             yield key, sample