Datasets:

nanaaaa
/

emotion_chinese_english

Tasks:

Text Classification

Languages:

Chinese

English

Tags:

DOI:

Dataset card Viewer Files Files and versions Community

emotion_chinese_english / emotion_chinese_english.py

nanaaaa

Update emotion_chinese_english.py

ca4bd93 about 1 year ago

raw history blame contribute delete

No virus

3.06 kB

	# 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.
	# Version 10-0-sadder.
	"""emotion_chinese_english dataset: A multilingual emotion dataset of wilde's children's literature"""


	import datasets


	_DESCRIPTION = """\
	The emotion_chinese_english dataset is a multilingual emotion dataset annotated by language experts under a project. \
	The dataset can be used for tasks such as multilingual (Chinese and English) emotion classification and identification.
	"""


	_HOMEPAGE = "https://github.com/nana-lyj/emotion_chinese_english"

	_URLS = {
	"train": f"https://raw.githubusercontent.com/nana-lyj/emotion_chinese_english/main/data/train.tsv",
	"dev": f"https://raw.githubusercontent.com/nana-lyj/emotion_chinese_english/main/data/dev.tsv",
	"test": f"https://raw.githubusercontent.com/nana-lyj/emotion_chinese_english/main/data/test.tsv",
	}

	_LABEL_MAPPING = {0: 0, 1: 1, 2: 2, 3: 3, 4: 4}


	class emotionchineseenglish(datasets.GeneratorBasedBuilder):
	"""emotion_chinese_english dataset: A multilingual emotion dataset of wilde's children's literature"""

	VERSION = datasets.Version("1.0.0")

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"id": datasets.Value("int32"),
	"sentence": datasets.Value("string"),
	"label": datasets.ClassLabel(names=["joy", "sadness", "anger", "fear", "love"]),
	}
	),
	supervised_keys=None,
	homepage=_HOMEPAGE,
	)

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

	def _generate_examples(self, filepath):
	with open(filepath, encoding="utf-8") as f:
	lines = f.readlines()
	for line in lines:
	fields = line.strip().split("\t")
	idx, sentence, label = fields
	label = _LABEL_MAPPING[int(label)]
	yield int(idx), {"id": int(idx), "sentence": sentence, "label": label}