Datasets:
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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.
"""XStoryCloze dataset."""
import csv
import os
import datasets
_DESCRIPTION = """
XStoryCloze consists of the professionally translated version of the [English StoryCloze dataset](https://cs.rochester.edu/nlp/rocstories/) (Spring 2016 version) to 10 non-English languages. This dataset is released by Meta AI.
"""
_CITATION = """\
@article{DBLP:journals/corr/abs-2112-10668,
author = {Xi Victoria Lin and
Todor Mihaylov and
Mikel Artetxe and
Tianlu Wang and
Shuohui Chen and
Daniel Simig and
Myle Ott and
Naman Goyal and
Shruti Bhosale and
Jingfei Du and
Ramakanth Pasunuru and
Sam Shleifer and
Punit Singh Koura and
Vishrav Chaudhary and
Brian O'Horo and
Jeff Wang and
Luke Zettlemoyer and
Zornitsa Kozareva and
Mona T. Diab and
Veselin Stoyanov and
Xian Li},
title = {Few-shot Learning with Multilingual Language Models},
journal = {CoRR},
volume = {abs/2112.10668},
year = {2021},
url = {https://arxiv.org/abs/2112.10668},
eprinttype = {arXiv},
eprint = {2112.10668},
timestamp = {Tue, 04 Jan 2022 15:59:27 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2112-10668.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
"""
_LANG = ["en", "ru", "zh", "es", "ar", "hi", "id", "te", "sw", "eu", "my"]
_URL_FORMAT = "spring2016.val.{lang}.tsv.split_20_80_{split}.tsv"
class XStoryCloze(datasets.GeneratorBasedBuilder):
"""XStoryCloze."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(name=lang,
description="XStoryCloze Test Spring 2016 {lang} set")
for lang in _LANG
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"story_id": datasets.Value("string"),
"input_sentence_1": datasets.Value("string"),
"input_sentence_2": datasets.Value("string"),
"input_sentence_3": datasets.Value("string"),
"input_sentence_4": datasets.Value("string"),
"sentence_quiz1": datasets.Value("string"),
"sentence_quiz2": datasets.Value("string"),
"answer_right_ending": datasets.Value("int32"),
}
),
homepage="https://cs.rochester.edu/nlp/rocstories/",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
name = self.config.name
filepaths = dl_manager.download_and_extract({
"train": _URL_FORMAT.format(lang=name, split="train"),
"eval": _URL_FORMAT.format(lang=name, split="eval"),
})
return [
datasets.SplitGenerator(
name=split,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": path},
) for split, path in filepaths.items()
]
def _generate_examples(self, filepath):
"""Generate XStoryCloze examples."""
with open(filepath, encoding="utf-8") as csv_file:
csv_reader = csv.reader(
csv_file, quotechar='"', delimiter="\t", quoting=csv.QUOTE_ALL, skipinitialspace=True
)
_ = next(csv_reader)
for id_, row in enumerate(csv_reader):
if row and len(row) == 8:
yield id_, {
"story_id": row[0],
"input_sentence_1": row[1],
"input_sentence_2": row[2],
"input_sentence_3": row[3],
"input_sentence_4": row[4],
"sentence_quiz1": row[5],
"sentence_quiz2": row[6],
"answer_right_ending": int(row[7]),
}
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