# 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. """LexFiles: English Multinational Legal Corpora""" import datasets import json import os logger = datasets.logging.get_logger(__name__) _DESCRIPTION = """LexFiles: English Multinational Legal Corpora""" _HOMEPAGE = "https://huggingface.co/lexlms" _VERSION = "1.0.0" class LexFilesConfig(datasets.BuilderConfig): """BuilderConfig for LexFiles Corpora""" def __init__(self, url, **kwargs): super(LexFilesConfig, self).__init__(**kwargs) self.url = url class LexFiles(datasets.GeneratorBasedBuilder): """ The LexFiles """ VERSION = datasets.Version(_VERSION) BUILDER_CONFIG_CLASS = LexFilesConfig BUILDER_CONFIGS = [ LexFilesConfig( name="eu-legislation", description="EU Legislation", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/eurlex.zip' ), LexFilesConfig( name="eu-court-cases", description="EU Court cases", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/eurlex.zip' ), LexFilesConfig( name="legal-c4", description="Legal webpages extracted from C4", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles4/resolve/main/legal_c4.zip' ), LexFilesConfig( name="ecthr-cases", description="ECtHR cases", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/ecthr_cases.zip' ), LexFilesConfig( name="uk-legislation", description="UK Legislation", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/uk_legislation.zip' ), LexFilesConfig( name="uk-court-cases", description="UK Court cases", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/uk_courts_cases.zip' ), LexFilesConfig( name="indian-court-cases", description="Indian Court cases", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/indian_courts_cases.zip' ), LexFilesConfig( name="us-contracts", description="US Contracts", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/us_contracts.zip' ), LexFilesConfig( name="us-court-cases", description="US Court cases", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/courtlistener.zip' ), LexFilesConfig( name="us-legislation", description="US Legislation", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/us_legislation.zip' ), LexFilesConfig( name="canadian-legislation", description="Canadian Legislation", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/canadian_legislation.zip' ), LexFilesConfig( name="canadian-court-cases", description="Canadian Legislation", version=datasets.Version(_VERSION, ""), url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/canadian_court_cases.zip' ), ] 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): data_dir = dl_manager.download_and_extract(self.config.url) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train.jsonl"), "split": 'train'}, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, "validation.jsonl"), "split": 'validation'}, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl"), "split": 'test'}, ), ] def _generate_examples(self, filepath, split): """ Reads line by line samples and generates examples. :param filepath: Path to jsonl files with line by line examples. """ logger.info("⏳ Generating examples from = %s", filepath) if self.config.name in ['eu-court-cases', 'eu-legislation']: with open(filepath, encoding="utf-8") as f: for idx, row in enumerate(f): data = json.loads(row) if (self.config.name == 'eu-court-cases' and data['sector'] == "6") or \ (self.config.name == 'eu-legislation' and data['sector'] != "6"): yield data["id"], { "text": data["text"] } else: with open(filepath, encoding="utf-8") as f: for idx, row in enumerate(f): data = json.loads(row) yield f'{self.config.name}-{split}-{idx}', { "text": data["text"] }