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""" |
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Data loader script for the eur-lex-sum summarization dataset by Aumiller, Chouhan and Gertz. |
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The script itself was adapted from the XLSum data loader. |
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""" |
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import os |
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import json |
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import datasets |
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from datasets.tasks import Summarization |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """\ |
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@article{aumiller-etal-2022-eur, |
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author = {Aumiller, Dennis and Chouhan, Ashish and Gertz, Michael}, |
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title = {{EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain}}, |
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journal = {CoRR}, |
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volume = {abs/2210.13448}, |
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eprinttype = {arXiv}, |
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eprint = {2210.13448}, |
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url = {https://arxiv.org/abs/2210.13448} |
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} |
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""" |
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_HOMEPAGE = "https://github.com/achouhan93/eur-lex-sum" |
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_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)" |
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_DESCRIPTION = """\ |
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The EUR-Lex-Sum dataset is a multilingual resource intended for text summarization in the legal domain. |
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It is based on human-written summaries of legal acts issued by the European Union. |
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It distinguishes itself by introducing a smaller set of high-quality human-written samples, |
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each of which have much longer references (and summaries!) than comparable datasets. |
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Additionally, the underlying legal acts provide a challenging domain-specific application to legal texts, |
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which are so far underrepresented in non-English languages. |
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For each legal act, the sample can be available in up to 24 languages |
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(the officially recognized languages in the European Union); |
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the validation and test samples consist entirely of samples available in all languages, |
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and are aligned across all languages at the paragraph level. |
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""" |
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_LANGUAGES = [ |
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"bulgarian", |
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"czech", |
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"dutch", |
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"estonian", |
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"french", |
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"greek", |
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"", |
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"irish", |
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"latvian", |
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"maltese", |
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"portuguese", |
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"slovak", |
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"spanish", |
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"croatian", |
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"danish", |
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"english", |
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"finnish", |
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"german", |
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"hungarian", |
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"italian", |
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"lithuanian", |
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"polish", |
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"romanian", |
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"slovenian", |
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"swedish" |
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] |
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_URL = "https://huggingface.co/datasets/dennlinger/eur-lex-sum/resolve/main/data/" |
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_URLS = { |
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"train": _URL + "{}/train.json", |
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"validation": _URL + "{}/validation.json", |
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"test": _URL + "{}/test.json", |
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} |
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class EurLexSumConfig(datasets.BuilderConfig): |
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"""BuilderConfig for EUR-Lex-Sum.""" |
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def __init__(self, **kwargs): |
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"""BuilderConfig for EUR-Lex-Sum. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(EurLexSumConfig, self).__init__(**kwargs) |
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class EurLexSum(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name=f"{lang}", |
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version=datasets.Version("1.0.0") |
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) |
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for lang in _LANGUAGES |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"celex_id": datasets.Value("string"), |
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"reference": datasets.Value("string"), |
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"summary": datasets.Value("string") |
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} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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license=_LICENSE, |
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task_templates=[ |
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Summarization(task="summarization", text_column="reference", summary_column="summary") |
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], |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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lang = str(self.config.name) |
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urls = {k: url.format(lang) for k, url in _URLS.items()} |
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data_dir = dl_manager.download_and_extract(urls) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": data_dir["train"], |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": data_dir["validation"], |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": data_dir["test"], |
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}, |
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), |
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] |
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def _generate_examples(self, filepath): |
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"""Yields examples as (key, example) tuples.""" |
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with open(filepath) as f: |
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for idx_, row in enumerate(f): |
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data = json.loads(row) |
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yield idx_, data |
