Datasets:
Tasks:
Text Classification
Languages:
Korean
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
| # Copyright 2020 HuggingFace Datasets Authors. | |
| # | |
| # 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. | |
| # Lint as: python3 | |
| import csv | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| @article{jeon2022user, | |
| title={User Guide for KOTE: Korean Online Comments Emotions Dataset}, | |
| author={Jeon, Duyoung and Lee, Junho and Kim, Cheongtag}, | |
| journal={arXiv preprint arXiv:2205.05300}, | |
| year={2022} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| 50k Korean online comments labeled for 44 emotion categories. | |
| """ | |
| _HOMEPAGE = "https://github.com/searle-j/KOTE" | |
| _LICENSE = "MIT License" | |
| _BASE_URL = "https://raw.githubusercontent.com/searle-j/KOTE/main/" | |
| _LABELS = [ | |
| '๋ถํ/๋ถ๋ง', | |
| 'ํ์/ํธ์', | |
| '๊ฐ๋/๊ฐํ', | |
| '์ง๊ธ์ง๊ธ', | |
| '๊ณ ๋ง์', | |
| '์ฌํ', | |
| 'ํ๋จ/๋ถ๋ ธ', | |
| '์กด๊ฒฝ', | |
| '๊ธฐ๋๊ฐ', | |
| '์ฐ์ญ๋/๋ฌด์ํจ', | |
| '์ํ๊น์/์ค๋ง', | |
| '๋น์ฅํจ', | |
| '์์ฌ/๋ถ์ ', | |
| '๋ฟ๋ฏํจ', | |
| 'ํธ์/์พ์ ', | |
| '์ ๊ธฐํจ/๊ด์ฌ', | |
| '์๊ปด์ฃผ๋', | |
| '๋ถ๋๋ฌ์', | |
| '๊ณตํฌ/๋ฌด์์', | |
| '์ ๋ง', | |
| 'ํ์ฌํจ', | |
| '์ญ๊ฒจ์/์ง๊ทธ๋ฌ์', | |
| '์ง์ฆ', | |
| '์ด์ด์์', | |
| '์์', | |
| 'ํจ๋ฐฐ/์๊ธฐํ์ค', | |
| '๊ท์ฐฎ์', | |
| 'ํ๋ฆ/์ง์นจ', | |
| '์ฆ๊ฑฐ์/์ ๋จ', | |
| '๊นจ๋ฌ์', | |
| '์ฃ์ฑ ๊ฐ', | |
| '์ฆ์ค/ํ์ค', | |
| 'ํ๋ญํจ(๊ท์ฌ์/์์จ)', | |
| '๋นํฉ/๋์ฒ', | |
| '๊ฒฝ์ ', | |
| '๋ถ๋ด/์_๋ดํด', | |
| '์๋ฌ์', | |
| '์ฌ๋ฏธ์์', | |
| '๋ถ์ํจ/์ฐ๋ฏผ', | |
| '๋๋', | |
| 'ํ๋ณต', | |
| '๋ถ์/๊ฑฑ์ ', | |
| '๊ธฐ์จ', | |
| '์์ฌ/์ ๋ขฐ' | |
| ] | |
| class KOTEConfig(datasets.BuilderConfig): | |
| def features(self): | |
| if self.name == "dichotomized": | |
| return { | |
| "ID": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| "labels": datasets.Sequence(datasets.ClassLabel(names=_LABELS)), | |
| } | |
| class KOTE(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [KOTEConfig(name="dichotomized")] | |
| BUILDER_CONFIG_CLASS = KOTEConfig | |
| DEFAULT_CONFIG_NAME = "dichotomized" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features(self.config.features), | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| if self.config.name=="dichotomized": | |
| train_path = dl_manager.download_and_extract(os.path.join(_BASE_URL, "train.tsv")) | |
| test_path = dl_manager.download_and_extract(os.path.join(_BASE_URL, "test.tsv")) | |
| val_path = dl_manager.download_and_extract(os.path.join(_BASE_URL, "val.tsv")) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": [train_path],}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepaths": [test_path],}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": [val_path],}), | |
| ] | |
| def _generate_examples(self, filepaths): | |
| if self.config.name=="dichotomized": | |
| for filepath in filepaths: | |
| with open(filepath, mode="r", encoding="utf-8") as f: | |
| reader = csv.DictReader(f, delimiter="\t", fieldnames=list(self.config.features.keys())) | |
| for idx, row in enumerate(reader): | |
| row["labels"] = [int(lab) for lab in row["labels"].split(",")] | |
| yield idx, row |