Datasets:
Sub-tasks:
dialogue-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
File size: 4,830 Bytes
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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.
"""DialogRE: the first human-annotated dialogue-based relation extraction dataset"""
import json
import os
import datasets
_CITATION = """\
@inproceedings{yu2020dialogue,
title={Dialogue-Based Relation Extraction},
author={Yu, Dian and Sun, Kai and Cardie, Claire and Yu, Dong},
booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
year={2020},
url={https://arxiv.org/abs/2004.08056v1}
}
"""
_DESCRIPTION = """\
DialogRE is the first human-annotated dialogue based relation extraction (RE) dataset aiming
to support the prediction of relation(s) between two arguments that appear in a dialogue.
The dataset annotates all occurrences of 36 possible relation types that exist between pairs
of arguments in the 1,788 dialogues originating from the complete transcripts of Friends.
"""
_HOMEPAGE = "https://github.com/nlpdata/dialogre"
_LICENSE = "https://github.com/nlpdata/dialogre/blob/master/license.txt"
_URL = "https://raw.githubusercontent.com/nlpdata/dialogre/master/data_v2/en/data/"
_URLs = {
"train": _URL + "train.json",
"dev": _URL + "dev.json",
"test": _URL + "test.json",
}
class DialogREConfig(datasets.BuilderConfig):
"""BuilderConfig for DialogRE"""
def __init__(self, **kwargs):
"""BuilderConfig for DialogRE.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(DialogREConfig, self).__init__(**kwargs)
class DialogRE(datasets.GeneratorBasedBuilder):
"""DialogRE: Human-annotated dialogue-based relation extraction dataset Version 2"""
VERSION = datasets.Version("1.1.0")
BUILDER_CONFIGS = [
DialogREConfig(
name="dialog_re",
version=datasets.Version("1.1.0"),
description="DialogRE: Human-annotated dialogue-based relation extraction dataset",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"dialog": datasets.Sequence(datasets.Value("string")),
"relation_data": datasets.Sequence(
{
"x": datasets.Value("string"),
"y": datasets.Value("string"),
"x_type": datasets.Value("string"),
"y_type": datasets.Value("string"),
"r": datasets.Sequence(datasets.Value("string")),
"rid": datasets.Sequence(datasets.Value("int32")),
"t": datasets.Sequence(datasets.Value("string")),
}
),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
data_dir = dl_manager.download_and_extract(_URLs)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir["train"]),
"split": "train",
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"filepath": os.path.join(data_dir["test"]), "split": "test"},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": os.path.join(data_dir["dev"]),
"split": "dev",
},
),
]
def _generate_examples(self, filepath, split):
"""Yields examples."""
with open(filepath, encoding="utf-8") as f:
dataset = json.load(f)
for id_, data in enumerate(dataset):
dialog = data[0]
relation_data = data[1]
yield id_, {
"dialog": dialog,
"relation_data": relation_data,
}
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