Upload my_uspto.py

my_uspto.py

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+from datasets import DatasetBuilder, GeneratorBasedBuilder, SplitGenerator, Features, Value
+import json
+import datasets
+import os
+from glob import glob
+import zstandard as zstd
+from datasets.utils import Version
+import io
+from huggingface_hub import snapshot_download
+
+
+class MyUSPTODataset(GeneratorBasedBuilder):
+    VERSION = Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="USPTO Patents 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')
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "data_dir": "train",
+                    "split": None,
+                },
+
+            ),
+            datasets.SplitGenerator(
+                name="validation_pile",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "data_dir": "val",
+                    "split": "pile",
+                },
+            ),
+            datasets.SplitGenerator(
+                name="validation_domain",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "data_dir": "val",
+                    "split": "domain",
+                },
+            ),
+            datasets.SplitGenerator(
+                name="test_pile",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "data_dir": "test_pile",
+                    "split": "pile"
+                },
+
+            ),
+            datasets.SplitGenerator(
+                name="test_domain",
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "data_dir": "test_domain",
+                    "split": "domain"
+                },
+
+            ),
+
+        ]
+
+    def _generate_examples(self, data_dir, split):
+        dctx = zstd.ZstdDecompressor()
+        idx = -1
+        file_paths = glob(os.path.join(data_dir, f"*.jsonl.zst"))
+        if split is not None:
+            file_paths = [f for f in file_paths if split in f]
+        for file in file_paths:
+            with open(file, "rb") as f:
+                reader = dctx.stream_reader(f)
+                buffer = io.BufferedReader(reader)
+                for _, line in enumerate(buffer.readlines()):
+                    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])