Datasets:
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
other-story-completion
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. | |
"""Story Cloze datasets.""" | |
import csv | |
import os | |
import datasets | |
_DESCRIPTION = """ | |
Story Cloze Test' is a commonsense reasoning framework for evaluating story understanding, | |
story generation, and script learning.This test requires a system to choose the correct ending | |
to a four-sentence story. | |
""" | |
_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 = ["ru", "zh", "es", "ar", "hi", "id", "te", "sw", "eu", "my"] | |
_VERSION = "1.0.0" | |
class XStoryCloze(datasets.GeneratorBasedBuilder): | |
"""Story Cloze.""" | |
BUILDER_CONFIGS = [ | |
datasets.BuilderConfig( | |
name=lang, | |
description=f"XStory Cloze {lang}", | |
version=_VERSION, | |
) | |
for lang in _LANG | |
] | |
def manual_download_instructions(self): | |
return ( | |
"To use Story Cloze you have to download it manually. Please fill this " | |
"google form (http://goo.gl/forms/aQz39sdDrO). Complete the form. " | |
"Then you will receive a download link for the dataset. Load it using: " | |
"`datasets.load_dataset('story_cloze', data_dir='path/to/folder/folder_name')`" | |
) | |
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): | |
path_to_manual_folder = os.path.abspath(os.path.expanduser(dl_manager.manual_dir)) | |
train_file = os.path.join(path_to_manual_folder, f"spring2016.val.{self.config.name}.tsv.split_20_80_train.tsv") | |
val_file = os.path.join(path_to_manual_folder, f"spring2016.val.{self.config.name}.tsv.split_20_80_eval.tsv") | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
gen_kwargs={ | |
"filepath": train_file, | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
gen_kwargs={ | |
"filepath": val_file, | |
}, | |
), | |
] | |
def _generate_examples(self, filepath): | |
"""Generate Story Cloze examples.""" | |
with open(filepath, encoding="utf-8") as tsv_file: | |
csv_reader = csv.reader( | |
tsv_file, quotechar='"', delimiter="\t", quoting=csv.QUOTE_ALL, skipinitialspace=True | |
) | |
_ = next(csv_reader) | |
for id_, row in enumerate(csv_reader): | |
# The Spanish XStory Cloze has 10 columns with the last two being not needed | |
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]), | |
} | |
else: | |
raise ValueError(f"Unexpected row: {row}") | |