Revert "fix dataloader"

This reverts commit 70d5a4356c6753456e9bbfd0ba79bad55f83f75b.

proof-pile-2.py

@@ -19,6 +19,29 @@ A dataset of high quality mathematical text. """
 _HOMEPAGE = "https://github.com/EleutherAI/math-lm"
 
 
+SPLITS = ["train", "validation", "test"]
+
+_DATA_PATHS = {
+        "arxiv": {
+            split: [f'arxiv/{split}/arXiv_{str(i).zfill(3)}.jsonl.zst' for i in range(100)]
+            for split in SPLITS        
+        },
+        "open-web-math": {
+            split: [
+                os.path.join(f"open-web-math/{split}", filename)
+                for filename in os.listdir(f"open-web-math/{split}")
+            ] 
+            for split in SPLITS
+        },
+        "algebraic-stack": {
+            split: [
+                os.path.join(f"algebraic-stack/{split}", filename)
+                for filename in os.listdir(f"algebraic-stack/{split}")
+            ] 
+            for split in SPLITS
+        }
+}
+
 class ProofPile2Config(datasets.BuilderConfig):
     """BuilderConfig for RedPajama sample."""
 
@@ -47,6 +70,12 @@ class ProofPile2(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
+        ProofPile2Config(
+            name='default',
+            subsets=list(_DATA_PATHS.keys()),
+            version=VERSION,
+            description="All subsets"
+        ),
         ProofPile2Config(
             name='arxiv',
             subsets=["arxiv"],
@@ -88,29 +117,37 @@ class ProofPile2(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "data_files": dl_manager.iter_archive(os.path.join(subset, "train"))
+                    "data_files": list(map(
+                        dl_manager.download, 
+                        [x for subset in self.config.subsets for x in _DATA_PATHS[subset]["train"]]
+                    )),
                 },
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
+                name=datasets.Split.VALIDATION, 
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "data_files": dl_manager.iter_archive(os.path.join(subset, "validation"))
+                    "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.TRAIN,
-                # These kwargs will be passed to _generate_examples
+                name=datasets.Split.TEST, 
                 gen_kwargs={
-                    "data_files": dl_manager.iter_archive(os.path.join(subset, "test"))
-                },
-            ),
+                    "data_files": list(map(
+                        dl_manager.download, 
+                        [x for subset in self.config.subsets for x in _DATA_PATHS[subset]["test"]]
+                    )),
+                }, 
+            ), 
         ]
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, data_files):
         key = 0 
-        for fle in data_files: 
-            with zstd.open(fle, "rt", encoding="utf-8") as f: 
+        for name in data_files: 
+            with zstd.open(open(name, "rb"), "rt", encoding="utf-8") as f: 
                 for x in f.readlines():
                     instance = json.loads(x)
                     if instance:

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 ["algebraic-stack", "arxiv", "open-web-math",]:
+    for subset in ["arxiv", "open-web-math", "algebraic-stack"]:
         for split in ["train", "validation", "test"]:
             data = load_dataset("proof-pile-2.py", subset)[split]
             print(data)