# 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. import json import lzma import os import datasets try: import lzma as xz except ImportError: import pylzma as xz # TODO: Add BibTeX citation # Find for instance the citation on arxiv or on the dataset repo/website _CITATION = """\ @InProceedings{huggingface:dataset, title = {A great new dataset}, author={huggingface, Inc. }, year={2020} } """ # You can copy an official description _DESCRIPTION = """\ This dataset contains Swiss law articles """ _URLS = { "full": "https://huggingface.co/datasets/rcds/swiss_legislation/resolve/main", } class SwissLegilation(datasets.GeneratorBasedBuilder): """This dataset contains court decision for doc2doc information retrieval task.""" BUILDER_CONFIGS = [ datasets.BuilderConfig(name="full", description="This part covers the whole dataset"), ] DEFAULT_CONFIG_NAME = "full" # It's not mandatory to have a default configuration. Just use one if it make sense. def _info(self): if self.config.name == "full": features = datasets.Features( { "canton": datasets.Value("string"), "language": datasets.Value("string"), "uuid": datasets.Value("string"), "title": datasets.Value("string"), "short": datasets.Value("string"), "abbreviation": datasets.Value("string"), "sr_number": datasets.Value("string"), "pdf_content": datasets.Value("string") } ) return datasets.DatasetInfo( description=_DESCRIPTION, features=features, # Here we define them above because they are different between the two configurations ) def _split_generators(self, dl_manager): urls = _URLS[self.config.name] filepath = dl_manager.download(os.path.join(urls, "lexfind_v2.jsonl.xz")) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, # These kwargs will be passed to _generate_examples gen_kwargs={ "filepath": filepath, "split": "train", }, ) ] # method parameters are unpacked from `gen_kwargs` as given in `_split_generators` def _generate_examples(self, filepath, split): # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example. line_counter = 0 try: with xz.open(open(filepath, "rb"), "rt", encoding="utf-8") as f: for id, line in enumerate(f): line_counter += 1 if line: data = json.loads(line) if self.config.name == "full": yield id, { "canton": data["canton"], "language": data["language"], "uuid": data["uuid"], "short": data["short"], "title": data["title"], "abbreviation": data["abbreviation"], "sr_number": data["sr_number"], "pdf_content": data["pdf_content"], } except lzma.LZMAError as e: print(split, e) if line_counter == 0: raise e