wip

ANAKIN.py

@@ -178,6 +178,12 @@ class Anakin(datasets.GeneratorBasedBuilder):
 
         train_end = int(len(df) * 0.7)
         val_end = int(len(df) * 0.8)
+        split_ids = {
+            datasets.Split.TRAIN: ids[:train_end],
+            datasets.Split.VALIDATION: ids[train_end:val_end],
+            datasets.Split.TEST: ids[val_end:],
+        }
+
         data_dir = {}
         mask_dir = {}
 
@@ -186,26 +192,20 @@ class Anakin(datasets.GeneratorBasedBuilder):
             datasets.Split.VALIDATION,
             datasets.Split.TEST,
         ]:
-            if split == datasets.Split.TRAIN:
-                split_ids = ids[:train_end]
-            elif split == datasets.Split.VALIDATION:
-                split_ids = ids[train_end:val_end]
-            else:
-                split_ids = ids[val_end:]
             data_urls = [
                 {
                     f"{folder}": root_url + f"{folder}/{idx}.mp4"
                     for folder in folders
                     if folder != "masks"
                 }
-                for idx in split_ids
+                for idx in split_ids[split]
             ]
             data_dir[split] = dl_manager.download(data_urls)
             mask_dir[split] = {
                 idx: dl_manager.iter_archive(
                     dl_manager.download(root_url + f"masks/{idx}.zip")
                 )
-                for idx in split_ids
+                for idx in split_ids[split]
             }
 
         return [
@@ -215,6 +215,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
                     "files": data_dir[split],
                     "masks": mask_dir[split],
                     "df": df,
+                    "ids": split_ids[split],
                     "return_time": "full" in folders,
                 },
             )
@@ -225,10 +226,8 @@ class Anakin(datasets.GeneratorBasedBuilder):
             ]
         ]
 
-    def _generate_examples(self, files, masks, df, return_time):
-        for key, sample in enumerate(files):
-            idx = sample["trimmed"].split("/")[-1].split(".")[0]
-            print(df)
+    def _generate_examples(self, files, masks, df, ids, return_time):
+        for key, (idx, sample) in enumerate(zip(ids, files)):
             print(idx)
             entry = df[df["video-id"] == idx]
             print(entry)