Update my_uspto.py

my_uspto.py

@@ -1,77 +1,64 @@
-from datasets import DatasetBuilder, GeneratorBasedBuilder, SplitGenerator, Features, Value
+import io
 import json
-import datasets
 import os
 from glob import glob
+
+import datasets
 import zstandard as zstd
+from datasets import GeneratorBasedBuilder
 from datasets.utils import Version
-import io
 from huggingface_hub import snapshot_download
 
 
-class MyUSPTODataset(GeneratorBasedBuilder):
+class PileDomainDataset(GeneratorBasedBuilder):
     VERSION = Version("1.0.0")
 
     def _info(self):
         return datasets.DatasetInfo(
-            description="USPTO Patents Dataset",
+            description="Pile Domain Dataset",
             features=datasets.Features(
                 {
                     "text": datasets.Value("string"),
-
                 }
             ),
             supervised_keys=None,
-
         )
 
     def _split_generators(self, dl_manager):
-        snapshot_download(repo_id="jordiclive/my_uspto",repo_type='dataset')
+        #snapshot_download(repo_id="Multi-Domain-Expert-Layers/uspto", repo_type="dataset")
+        # dl_manager.download_and_extract("https://huggingface.co/datasets/Multi-Domain-Expert-Layers/uspto/resolve/main/uspto.tar.gz")
+        dl_path = snapshot_download(repo_id="jordiclive/my_uspto", repo_type="dataset")
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "data_dir": "train",
+                    "data_dir": os.path.join(dl_path, "data/train"),
                     "split": None,
                 },
-
             ),
             datasets.SplitGenerator(
                 name="validation_pile",
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "data_dir": "val",
+                    "data_dir": os.path.join(dl_path, "data/val"),
                     "split": "pile",
                 },
             ),
             datasets.SplitGenerator(
                 name="validation_domain",
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "data_dir": "val",
+                    "data_dir": os.path.join(dl_path, "data/val"),
                     "split": "domain",
                 },
             ),
             datasets.SplitGenerator(
                 name="test_pile",
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "data_dir": "test_pile",
-                    "split": "pile"
-                },
-
+                gen_kwargs={"data_dir": os.path.join(dl_path, "data/test"), "split": "pile"},
             ),
             datasets.SplitGenerator(
                 name="test_domain",
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "data_dir": "test_domain",
-                    "split": "domain"
-                },
-
+                gen_kwargs={"data_dir": os.path.join(dl_path, "data/test"), "split": "domain"},
             ),
-
         ]
 
     def _generate_examples(self, data_dir, split):
@@ -88,23 +75,3 @@ class MyUSPTODataset(GeneratorBasedBuilder):
                     data = json.loads(line)
                     idx += 1
                     yield idx, data
-
-
-# if __name__ == "__main__":
-#     b = datasets.load_dataset('/Users/jordanclive/Desktop/MDEL/my_uspto')
-# #     import os
-# #     import shutil
-# #     import glob
-# #     cache_directory = "/Users/jordanclive/.cache/huggingface/datasets"
-# #
-# #     dataset = MyUSPTODataset()
-# #
-# #     #
-# #     dataset = MyUSPTODataset()
-# #     dataset.download_and_prepare()
-# #     dataset = dataset.as_dataset()
-# #     # # x = 1
-# #     # print(dataset)
-# #     # print(dataset["train"][0])
-# #     # print(dataset["test"][0])
-# #     # print(dataset["validation"][0])