fix dataloader

proof-pile-2.py

@@ -114,36 +114,25 @@ class ProofPile2(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         return [ 
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
+                name=split_obj,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "data_files": list(map(
                         dl_manager.download, 
-                        [x for subset in self.config.subsets for x in _DATA_PATHS[subset]["train"]]
-                    )),
+                        [
+                            x 
+                            for subset in self.config.subsets 
+                            for x in dl_manager.iter_files(os.path.join(subset, split))
+                        ]
+                    ))
                 },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, 
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "data_files": list(map(
-                        dl_manager.download, 
-                        [x for subset in self.config.subsets for x in _DATA_PATHS[subset]["validation"]]
-                    )),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, 
-                gen_kwargs={
-                    "data_files": list(map(
-                        dl_manager.download, 
-                        [x for subset in self.config.subsets for x in _DATA_PATHS[subset]["test"]]
-                    )),
-                }, 
-            ), 
+            )
+            for split, split_obj in zip(
+                ("train", "validation", "test"),
+                (datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST)
+            )
         ]
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+
     def _generate_examples(self, data_files):
         key = 0 
         for name in data_files: 

test_dataloader.py

@@ -7,7 +7,7 @@ import sentencepiece as spm
 s = spm.SentencePieceProcessor(model_file="tokenizer.model") # Llama tokenizer
 
 def main():
-    for subset in ["arxiv", "open-web-math", "algebraic-stack"]:
+    for subset in ["algebraic-stack", "arxiv", "open-web-math",]:
         for split in ["train", "validation", "test"]:
             data = load_dataset("proof-pile-2.py", subset)[split]
             print(data)