use dl manager for remote

ChessBot-Dataset.py

@@ -1,6 +1,12 @@
 from datasets import (
-    GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split,
-    Features, Value, Array2D
+    GeneratorBasedBuilder,
+    DatasetInfo,
+    SplitGenerator,
+    Split,
+    DownloadManager,
+    Features,
+    Value,
+    Array2D,
 )
 from adversarial_gym.chess_env import ChessEnv
 
@@ -17,21 +23,28 @@ class ChessPGNDataset(GeneratorBasedBuilder):
             })
         )
 
-    def _split_generators(self, dl_manager):
-        import glob, os
-        # data_dir is the root of your dataset repo
-        data_dir = self.config.data_dir
+    def _split_generators(self, dl_manager: DownloadManager):
+        import pathlib as Path
+        # 1) discover your shards inside the repo:
+        data_dir = Path(self.config.data_dir)
+        train_shards = sorted(data_dir.joinpath("train").glob("*.pgn"))
+        test_shards  = sorted(data_dir.joinpath("test").glob("*.pgn"))
+
+        # 2) resolve them through the DL manager:
+        #    if they’re URLs, this downloads; if local, returns the same paths.
+        train_paths = dl_manager.download([str(p) for p in train_shards])
+        test_paths  = dl_manager.download([str(p) for p in test_shards])
+
         return [
-          SplitGenerator(
-            name=Split.TRAIN,
-            gen_kwargs={"shards": glob.glob(os.path.join(data_dir,"train","*.pgn"))}
-          ),
-          SplitGenerator(
-            name=Split.TEST,
-            gen_kwargs={"shards": glob.glob(os.path.join(data_dir,"test","*.pgn"))}
-          ),
+            SplitGenerator(
+                name=Split.TRAIN,
+                gen_kwargs={"shards": train_paths},
+            ),
+            SplitGenerator(
+                name=Split.TEST,
+                gen_kwargs={"shards": test_paths},
+            ),
         ]
-
     def _generate_examples(self, shards):
         import chess.pgn
         uid = 0