Datasets:

IlyaGusev
/

headline_cause

	# coding=utf-8
	# Copyright 2021 The HuggingFace Datasets Authors and Ilya Gusev
	#
	# 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.
	"""HeadlineCause: A Dataset of News Headlines for Detecting Casualties"""

	import json
	import os

	import datasets


	_CITATION = """
	@misc{gusev2021headlinecause,
	title={HeadlineCause: A Dataset of News Headlines for Detecting Casualties},
	author={Ilya Gusev and Alexey Tikhonov},
	year={2021},
	eprint={2108.12626},
	archivePrefix={arXiv},
	primaryClass={cs.CL}
	}
	"""

	_DESCRIPTION = "A Dataset of News Headlines for Detecting Casualties"
	_HOMEPAGE = "https://github.com/IlyaGusev/HeadlineCause"
	_URLS = {
	"ru_simple": {
	"train": "ru/simple/train.jsonl",
	"val": "ru/simple/val.jsonl",
	"test": "ru/simple/test.jsonl"
	},
	"ru_full": {
	"train": "ru/full/train.jsonl",
	"val": "ru/full/val.jsonl",
	"test": "ru/full/test.jsonl"
	},
	"en_simple": {
	"train": "en/simple/train.jsonl",
	"val": "en/simple/val.jsonl",
	"test": "en/simple/test.jsonl"
	},
	"en_full": {
	"train": "en/full/train.jsonl",
	"val": "en/full/val.jsonl",
	"test": "en/full/test.jsonl",
	}
	}


	class HeadlineCauseDataset(datasets.GeneratorBasedBuilder):
	"""HeadlineCause Dataset"""

	VERSION = datasets.Version("1.1.0")

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name="ru_simple", version=VERSION, description="Russian language, Simple task"),
	datasets.BuilderConfig(name="en_simple", version=VERSION, description="English language, Simple task"),
	datasets.BuilderConfig(name="ru_full", version=VERSION, description="Russian language, Full task"),
	datasets.BuilderConfig(name="en_full", version=VERSION, description="English language, Full task"),
	]

	DEFAULT_CONFIG_NAME = "en_simple"

	def _info(self):
	features = datasets.Features(
	{
	"left_url": datasets.Value("string"),
	"right_url": datasets.Value("string"),
	"left_title": datasets.Value("string"),
	"right_title": datasets.Value("string"),
	"left_timestamp": datasets.Value("timestamp[s]"),
	"right_timestamp": datasets.Value("timestamp[s]"),
	"id": datasets.Value("string"),
	"has_link": datasets.Value("bool"),
	"label": datasets.Value("int8"),
	"result": datasets.Value("string"),
	"agreement": datasets.Value("double")
	}
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	supervised_keys=None,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	downloaded_files = dl_manager.download_and_extract(_URLS[self.config.name])
	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
	datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
	datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}),
	]

	def _generate_examples(self, filepath):
	with open(filepath, encoding="utf-8") as f:
	for row in f:
	data = json.loads(row)
	yield data["id"], data