import json import datasets import pandas as pd from huggingface_hub.file_download import hf_hub_url from collections import OrderedDict try: import lzma as xz except ImportError: import pylzma as xz datasets.logging.set_verbosity_info() logger = datasets.logging.get_logger(__name__) _DESCRIPTION ="""\ """ _HOMEPAGE = "" _LICENSE = "" _CITATION = "" _URL = { 'data/' } _LANGUAGES = [ "de", "fr", "it", "swiss", "en" ] _SUBSETS = [ "_sherlock", "_sfu", "_bioscope", "" ] _BUILDS = ['de', 'fr', 'it', 'swiss', 'en_bioscope', 'en_sherlock', 'en_sfu', 'en_all', 'all_all'] class MultiLegalNegConfig(datasets.BuilderConfig): def __init__(self, name:str, **kwargs): super( MultiLegalNegConfig, self).__init__(**kwargs) self.name = name self.language = name.split("_")[0] self.subset = f'_{name.split("_")[1]}' if len(name.split("_"))==2 else "" class MultiLegalNeg(datasets.GeneratorBasedBuilder): BUILDER_CONFIG_CLASS = MultiLegalNegConfig BUILDER_CONFIGS = [ MultiLegalNegConfig(f"{build}") for build in _BUILDS ] def _info(self): features = datasets.Features( { "text": datasets.Value("string"), "spans": [ { "start": datasets.Value("int64"), "end": datasets.Value("int64"), "token_start": datasets.Value("int64"), "token_end": datasets.Value("int64"), "label": datasets.Value("string") } ], "tokens": [ { "text": datasets.Value("string"), "start": datasets.Value("int64"), "end": datasets.Value("int64"), "id": datasets.Value("int64"), "ws": datasets.Value("bool") } ] } ) return datasets.DatasetInfo( description=_DESCRIPTION, features = features, homepage = _HOMEPAGE, citation=_CITATION ) def _split_generators(self, dl_manager): languages = _LANGUAGES if self.config.language == "all" else [self.config.language] subsets = _SUBSETS if self.config.subset == "_all" else [self.config.subset] split_generators = [] for split in [datasets.Split.TRAIN, datasets.Split.TEST, datasets.Split.TRAIN, datasets.Split.VALIDATION]: filepaths = [] for language in languages: for subset in subsets: try: filepaths.append(dl_manager.download((f'data/{split}/{language}{subset}_{split}.jsonl.xz'))) except: break split_generators.append(datasets.SplitGenerator(name=split, gen_kwargs={'filepaths': filepaths})) return split_generators def _generate_examples(self, filepaths): id_ = 0 for filepath in filepaths: if filepath: logger.info("Generating examples from = %s", filepath) try: with xz.open(open(filepath,'rb'), 'rt', encoding='utf-8') as f: json_list = list(f) for json_str in json_list: example = json.loads(json_str) if example is not None and isinstance(example, dict): yield id_, example id_ +=1 except Exception: logger.exception("Error while processing file %s", filepath)