Datasets:
Tasks:
Text2Text Generation
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
# 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 | |