Datasets:
dialog_re

	# 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,
	}