Datasets:
Tasks:
Text Classification
Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
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. | |
"""ASSIN 2 dataset.""" | |
import xml.etree.ElementTree as ET | |
import datasets | |
_CITATION = """ | |
@inproceedings{real2020assin, | |
title={The assin 2 shared task: a quick overview}, | |
author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo}, | |
booktitle={International Conference on Computational Processing of the Portuguese Language}, | |
pages={406--412}, | |
year={2020}, | |
organization={Springer} | |
} | |
""" | |
_DESCRIPTION = """ | |
The ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1. | |
The training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese, | |
annotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment | |
classes are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same | |
annotation. All data were manually annotated. | |
""" | |
_HOMEPAGE = "https://sites.google.com/view/assin2" | |
_LICENSE = "" | |
_URLS = { | |
"train": "https://github.com/ruanchaves/assin/raw/master/sources/assin2-train-only.xml", | |
"dev": "https://github.com/ruanchaves/assin/raw/master/sources/assin2-dev.xml", | |
"test": "https://github.com/ruanchaves/assin/raw/master/sources/assin2-test.xml", | |
} | |
class Assin2(datasets.GeneratorBasedBuilder): | |
"""ASSIN 2 dataset.""" | |
VERSION = datasets.Version("1.0.0") | |
def _info(self): | |
features = datasets.Features( | |
{ | |
"sentence_pair_id": datasets.Value("int64"), | |
"premise": datasets.Value("string"), | |
"hypothesis": datasets.Value("string"), | |
"relatedness_score": datasets.Value("float32"), | |
"entailment_judgment": datasets.features.ClassLabel(names=["NONE", "ENTAILMENT"]), | |
} | |
) | |
return datasets.DatasetInfo( | |
description=_DESCRIPTION, | |
features=features, | |
supervised_keys=None, | |
homepage=_HOMEPAGE, | |
license=_LICENSE, | |
citation=_CITATION, | |
) | |
def _split_generators(self, dl_manager): | |
"""Returns SplitGenerators.""" | |
data_dir = dl_manager.download(_URLS) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
gen_kwargs={ | |
"filepath": data_dir["train"], | |
"split": "train", | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
gen_kwargs={ | |
"filepath": data_dir["test"], | |
"split": "test", | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
gen_kwargs={ | |
"filepath": data_dir["dev"], | |
"split": "dev", | |
}, | |
), | |
] | |
def _generate_examples(self, filepath, split): | |
"""Yields examples.""" | |
id_ = 0 | |
with open(filepath, "rb") as f: | |
tree = ET.parse(f) | |
root = tree.getroot() | |
for pair in root: | |
yield id_, { | |
"sentence_pair_id": int(pair.attrib.get("id")), | |
"premise": pair.find(".//t").text, | |
"hypothesis": pair.find(".//h").text, | |
"relatedness_score": float(pair.attrib.get("similarity")), | |
"entailment_judgment": pair.attrib.get("entailment").upper(), | |
} | |
id_ += 1 | |