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"""Wiki Asp datasert for Multi-domain Aspect-based Summarization""" |
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import json |
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import os |
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import datasets |
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_CITATION = """\ |
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@article{hayashi20tacl, |
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title = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization}, |
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authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig}, |
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journal = {Transactions of the Association for Computational Linguistics (TACL)}, |
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year = {2020}, |
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url = {https://arxiv.org/abs/2011.07832} |
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} |
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""" |
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_DESCRIPTION = """\ |
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WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic |
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domain. In this task, models are asked to summarize cited reference documents of a |
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Wikipedia article into aspect-based summaries. Each of the 20 domains include 10 |
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domain-specific pre-defined aspects. |
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""" |
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_HOMEPAGE = "https://github.com/neulab/wikiasp" |
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_LICENSE = "CC BY-SA 4.0" |
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_URLs = { |
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"album": "http://phontron.com/download/wikiasp/Album.tar.bz2", |
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"animal": "http://phontron.com/download/wikiasp/Animal.tar.bz2", |
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"artist": "http://phontron.com/download/wikiasp/Artist.tar.bz2", |
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"building": "http://phontron.com/download/wikiasp/Building.tar.bz2", |
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"company": "http://phontron.com/download/wikiasp/Company.tar.bz2", |
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"educational_institution": "http://phontron.com/download/wikiasp/EducationalInstitution.tar.bz2", |
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"event": "http://phontron.com/download/wikiasp/Event.tar.bz2", |
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"film": "http://phontron.com/download/wikiasp/Film.tar.bz2", |
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"group": "http://phontron.com/download/wikiasp/Group.tar.bz2", |
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"historic_place": "http://phontron.com/download/wikiasp/HistoricPlace.tar.bz2", |
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"infrastructure": "http://phontron.com/download/wikiasp/Infrastructure.tar.bz2", |
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"mean_of_transportation": "http://phontron.com/download/wikiasp/MeanOfTransportation.tar.bz2", |
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"office_holder": "http://phontron.com/download/wikiasp/OfficeHolder.tar.bz2", |
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"plant": "http://phontron.com/download/wikiasp/Plant.tar.bz2", |
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"single": "http://phontron.com/download/wikiasp/Single.tar.bz2", |
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"soccer_player": "http://phontron.com/download/wikiasp/SoccerPlayer.tar.bz2", |
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"software": "http://phontron.com/download/wikiasp/Software.tar.bz2", |
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"television_show": "http://phontron.com/download/wikiasp/TelevisionShow.tar.bz2", |
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"town": "http://phontron.com/download/wikiasp/Town.tar.bz2", |
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"written_work": "http://phontron.com/download/wikiasp/WrittenWork.tar.bz2", |
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} |
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class WikiAsp(datasets.GeneratorBasedBuilder): |
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"""TODO: Short description of my dataset.""" |
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VERSION = datasets.Version("1.1.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="album", version=VERSION, description="A subset of dataset from the musical album domain" |
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), |
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datasets.BuilderConfig( |
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name="animal", version=VERSION, description="A subset of dataset from the animal domain" |
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), |
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datasets.BuilderConfig( |
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name="artist", version=VERSION, description="A subset of dataset from the artist domain" |
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), |
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datasets.BuilderConfig( |
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name="building", version=VERSION, description="A subset of dataset from the buildings domain" |
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), |
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datasets.BuilderConfig( |
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name="company", version=VERSION, description="A subset of dataset from the company domain" |
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), |
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datasets.BuilderConfig( |
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name="educational_institution", |
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version=VERSION, |
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description="A subset of dataset from the educational institution domain", |
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), |
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datasets.BuilderConfig( |
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name="event", version=VERSION, description="A subset of dataset from the events domain" |
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), |
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datasets.BuilderConfig(name="film", version=VERSION, description="A subset of dataset from the film domain"), |
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datasets.BuilderConfig(name="group", version=VERSION, description="A subset of dataset from the group domain"), |
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datasets.BuilderConfig( |
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name="historic_place", version=VERSION, description="A subset of dataset from the historic places domain" |
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), |
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datasets.BuilderConfig( |
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name="infrastructure", version=VERSION, description="A subset of dataset from the infrastructure domain" |
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), |
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datasets.BuilderConfig( |
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name="mean_of_transportation", |
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version=VERSION, |
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description="A subset of dataset from the transportation mean domain", |
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), |
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datasets.BuilderConfig( |
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name="office_holder", version=VERSION, description="A subset of dataset from the office holder domain" |
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), |
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datasets.BuilderConfig(name="plant", version=VERSION, description="A subset of dataset from the plant domain"), |
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datasets.BuilderConfig( |
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name="single", version=VERSION, description="A subset of dataset from the musical single domain" |
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), |
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datasets.BuilderConfig( |
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name="soccer_player", version=VERSION, description="A subset of dataset from the soccer player domain" |
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), |
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datasets.BuilderConfig( |
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name="software", version=VERSION, description="A subset of dataset from the software domain" |
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), |
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datasets.BuilderConfig( |
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name="television_show", version=VERSION, description="A subset of dataset from the television show domain" |
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), |
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datasets.BuilderConfig(name="town", version=VERSION, description="A subset of dataset from the town domain"), |
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datasets.BuilderConfig( |
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name="written_work", version=VERSION, description="A subset of dataset from the written work domain" |
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), |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"exid": datasets.Value("string"), |
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"inputs": datasets.Sequence(datasets.Value("string")), |
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"targets": datasets.Sequence(datasets.Sequence(datasets.Value("string"))), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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my_urls = _URLs[self.config.name] |
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data_dir = dl_manager.download_and_extract(my_urls) |
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data_dir = os.path.join(data_dir, self.config.name.title().replace("_", "")) |
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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": os.path.join(data_dir, "train.jsonl"), |
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"split": "train", |
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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={"filepath": os.path.join(data_dir, "test.jsonl"), "split": "test"}, |
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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": os.path.join(data_dir, "valid.jsonl"), |
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"split": "dev", |
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}, |
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), |
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] |
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def _generate_examples(self, filepath, split): |
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"""Yields examples.""" |
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with open(filepath, encoding="utf-8") as f: |
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for id_, row in enumerate(f): |
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data = json.loads(row) |
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yield id_, { |
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"exid": data["exid"], |
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"inputs": data["inputs"], |
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"targets": data["targets"], |
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} |
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