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| # 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. | |
| """The Atommic Dataset""" | |
| import json | |
| import datasets | |
| _CITATION = """@article{Sap2019ATOMICAA, | |
| title={ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning}, | |
| author={Maarten Sap and Ronan Le Bras and Emily Allaway and Chandra Bhagavatula and Nicholas Lourie and Hannah Rashkin and Brendan Roof and Noah A. Smith and Yejin Choi}, | |
| journal={ArXiv}, | |
| year={2019}, | |
| volume={abs/1811.00146} | |
| } | |
| """ | |
| _DESCRIPTION = """This dataset provides the template sentences and | |
| relationships defined in the ATOMIC common sense dataset. There are | |
| three splits - train, test, and dev. | |
| From the authors. | |
| Disclaimer/Content warning: the events in atomic have been | |
| automatically extracted from blogs, stories and books written at | |
| various times. The events might depict violent or problematic actions, | |
| which we left in the corpus for the sake of learning the (probably | |
| negative but still important) commonsense implications associated with | |
| the events. We removed a small set of truly out-dated events, but | |
| might have missed some so please email us (msap@cs.washington.edu) if | |
| you have any concerns. | |
| """ | |
| _HOMEPAGE = "https://homes.cs.washington.edu/~msap/atomic/" | |
| _LICENSE = "The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/" | |
| _URLs = {"atomic": "https://homes.cs.washington.edu/~msap/atomic/data/atomic_data.tgz"} | |
| class Atomic(datasets.GeneratorBasedBuilder): | |
| """Atomic Common Sense Dataset""" | |
| VERSION = datasets.Version("1.1.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig(name="atomic", version=VERSION, description="The Atomic dataset"), | |
| ] | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "event": datasets.Value("string"), | |
| "oEffect": datasets.Sequence(datasets.Value("string")), | |
| "oReact": datasets.Sequence(datasets.Value("string")), | |
| "oWant": datasets.Sequence(datasets.Value("string")), | |
| "xAttr": datasets.Sequence(datasets.Value("string")), | |
| "xEffect": datasets.Sequence(datasets.Value("string")), | |
| "xIntent": datasets.Sequence(datasets.Value("string")), | |
| "xNeed": datasets.Sequence(datasets.Value("string")), | |
| "xReact": datasets.Sequence(datasets.Value("string")), | |
| "xWant": datasets.Sequence(datasets.Value("string")), | |
| "prefix": datasets.Sequence(datasets.Value("string")), | |
| "split": datasets.Value("string"), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| my_urls = _URLs[self.config.name] | |
| archive = dl_manager.download(my_urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": "v4_atomic_trn.csv", | |
| "files": dl_manager.iter_archive(archive), | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "filepath": "v4_atomic_tst.csv", | |
| "files": dl_manager.iter_archive(archive), | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "filepath": "v4_atomic_dev.csv", | |
| "files": dl_manager.iter_archive(archive), | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath, files): | |
| """Yields examples from the Atomic dataset.""" | |
| for path, f in files: | |
| if path == filepath: | |
| for id_, row in enumerate(f): | |
| row = row.decode("utf-8") | |
| if row.startswith("event"): | |
| continue | |
| row = row.replace('"[', "[").replace(']"', "]") | |
| sent, rest = row.split("[", 1) | |
| sent = sent.strip(', "') | |
| rest = "[" + rest | |
| rest = rest.replace('""', '"').replace('\\\\"]', '"]') | |
| rest = rest.split(",") | |
| rest[-1] = '"' + rest[-1].strip() + '"' | |
| rest = ",".join(rest) | |
| row = '["' + sent + '",' + rest + "]" | |
| row = json.loads(row) | |
| yield id_, { | |
| "event": str(row[0]), | |
| "oEffect": row[1], | |
| "oReact": row[2], | |
| "oWant": row[3], | |
| "xAttr": row[4], | |
| "xEffect": row[5], | |
| "xIntent": row[6], | |
| "xNeed": row[7], | |
| "xReact": row[8], | |
| "xWant": row[9], | |
| "prefix": row[10], | |
| "split": str(row[11]), | |
| } | |
| break | |