Upload us-contracts xz file

the_legal_pile_preprocessed.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""The Legal Pile (Preprocessed)"""
+
+
+import datasets
+import json
+
+try:
+    import lzma as xz
+except ImportError:
+    import pylzma as xz
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """The Legal Pile (Preprocessed)"""
+
+_HOMEPAGE = "https://iliaschalkidis.github.io/"
+
+_VERSION = "1.0.0"
+
+
+class LegalPileConfig(datasets.BuilderConfig):
+    """BuilderConfig for Legal Pile Corpora"""
+    def __init__(self, name, n_files, **kwargs):
+        super(LegalPileConfig, self).__init__(**kwargs)
+        self.name = name
+        self.filepath = f'https://huggingface.co/datasets/lexlms/the_legal_pile_preprocessed/' \
+                        f'resolve/main/{self.name}.jsonl.xz'
+        self.n_files = n_files
+
+
+class LegalPile(datasets.GeneratorBasedBuilder):
+    """
+    The Legal Pile
+    """
+
+    VERSION = datasets.Version(_VERSION)
+    BUILDER_CONFIG_CLASS = LegalPileConfig
+    BUILDER_CONFIGS = [
+        LegalPileConfig(
+            name=f"eu-legislation",
+            n_files=1,
+            description="EU Legislation",
+        ),
+        LegalPileConfig(
+            name=f"eu-court-cases",
+            n_files=1,
+            description="EU Court cases",
+        ),
+        LegalPileConfig(
+            name=f"ecthr-cases",
+            n_files=1,
+            description="ECtHR cases",
+        ),
+        LegalPileConfig(
+            name=f"uk-legislation",
+            n_files=1,
+            description="UK Legislation",
+        ),
+        LegalPileConfig(
+            name=f"uk-court-cases",
+            n_files=1,
+            description="UK Court cases",
+        ),
+        LegalPileConfig(
+            name=f"indian-court-cases",
+            n_files=1,
+            description="Indian Court cases",
+        ),
+        LegalPileConfig(
+            name=f"canadian-legislation",
+            n_files=1,
+            description="Canadian Legislation",
+        ),
+        LegalPileConfig(
+            name=f"canadian-court-cases",
+            n_files=1,
+            description="Canadian Legislation",
+        ),
+        LegalPileConfig(
+            name=f"us-legislation",
+            n_files=1,
+            description="US Legislation",
+        ),
+        LegalPileConfig(
+            name=f"us-contracts",
+            n_files=1,
+            description="US Contracts",
+        ),
+        LegalPileConfig(
+            name=f"us-court-cases",
+            n_files=1,
+            description="US Court cases",
+        )
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_data_dir = dl_manager.download([self.config.filepath.replace('.jsonl.xz', f'_train_{idx+1}.jsonl.xz')
+                                              for idx in range(self.config.n_files)])
+        # test_data_dir = dl_manager.download([self.config.filepath.replace('.jsonl.xz', 'test.jsonl.xz')])
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepaths": train_data_dir, "split": 'train'},
+            ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.TEST,
+            #     gen_kwargs={"filepaths": test_data_dir, "split": 'test'},
+            # )
+        ]
+
+    def _generate_examples(self, filepaths, split):
+        """
+        Reads line by line samples and generates examples.
+        :param filepath: Path to jsonl files with line by line examples.
+        """
+        id_ = 0
+        for filepath in filepaths:
+            logger.info("⏳ Generating examples from = %s", filepath)
+            with xz.open(open(filepath, "rb"), "rt", encoding='utf-8') as f:
+                for row in f:
+                    try:
+                        data = json.loads(row)
+                        yield id_, {
+                            "text": data["text"]
+                        }
+                        id_ += 1
+                    except:
+                        continue
+

us-contracts_train_1.jsonl.xz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f6ece6ca34ea8f3bad3382ba646b7df27e5f3bc0f8793c25fdf0bdeeac7f7ce3
+size 762802272