Datasets:
Multilinguality:
translation
Size Categories:
1K<n<10K
Source Datasets:
extended|other-wikimatrix
ArXiv:
License:
mit
# 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 Rationalized English-French Semantic Divergences (REFreSD) dataset.""" | |
import csv | |
import datasets | |
_CITATION = """\ | |
@inproceedings{briakou-carpuat-2020-detecting, | |
title = "Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank", | |
author = "Briakou, Eleftheria and Carpuat, Marine", | |
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)", | |
month = nov, | |
year = "2020", | |
address = "Online", | |
publisher = "Association for Computational Linguistics", | |
url = "https://www.aclweb.org/anthology/2020.emnlp-main.121", | |
pages = "1563--1580", | |
} | |
""" | |
_DESCRIPTION = """\ | |
The Rationalized English-French Semantic Divergences (REFreSD) dataset consists of 1,039 | |
English-French sentence-pairs annotated with sentence-level divergence judgments and token-level | |
rationales. For any questions, write to ebriakou@cs.umd.edu. | |
""" | |
_HOMEPAGE = "https://github.com/Elbria/xling-SemDiv/tree/master/REFreSD" | |
_LICENSE = "MIT" | |
_URL = "https://raw.githubusercontent.com/Elbria/xling-SemDiv/master/REFreSD/REFreSD_rationale" | |
class Refresd(datasets.GeneratorBasedBuilder): | |
"""The Rationalized English-French Semantic Divergences (REFreSD) dataset.""" | |
VERSION = datasets.Version("1.1.0") | |
def _info(self): | |
features = datasets.Features( | |
{ | |
"sentence_pair": datasets.Translation(languages=["en", "fr"]), | |
"label": datasets.features.ClassLabel(names=["divergent", "equivalent"]), | |
"all_labels": datasets.features.ClassLabel( | |
names=["unrelated", "some_meaning_difference", "no_meaning_difference"] | |
), | |
"rationale_en": datasets.features.Sequence(datasets.Value("int32")), | |
"rationale_fr": datasets.features.Sequence(datasets.Value("int32")), | |
} | |
) | |
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 = _URL | |
data_file_path = dl_manager.download_and_extract(my_urls) | |
return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file_path})] | |
def _generate_examples(self, filepath): | |
"""Yields examples.""" | |
with open(filepath, encoding="utf-8") as f: | |
reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE) | |
for idx, row in enumerate(reader): | |
yield idx, { | |
"sentence_pair": {"fr": row["#french_sentence"], "en": row["#english_sentence"]}, | |
"label": row["#binary_label"], | |
"all_labels": row["#3_labels"], | |
"rationale_en": [int(v) for v in row["#english_rational"].split(" ")], | |
"rationale_fr": [int(v) for v in row["#french_rationale"].split(" ")], | |
} | |