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Add dataset files

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Files changed (6) hide show
  1. README.md +3 -0
  2. data/label.txt +7 -0
  3. data/test.tsv +0 -0
  4. data/train.tsv +0 -0
  5. data/valid.tsv +0 -0
  6. klue-tc-dev-tsv.py +55 -0
README.md ADDED
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+ This is a in-house development version of KLUE Topic Classification benchmark, as the test split is not released by the KLUE team.
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+
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+ We randomly split the original validation set (9,107 instances) into in-house validation set (5,107 instances) and the in-house test set (4,000 instances).
data/label.txt ADDED
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+ 정치
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+ 세계
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+ IT과학
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+ 스포츠
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+ 사회
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+ 경제
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+ 생활문화
data/test.tsv ADDED
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data/train.tsv ADDED
The diff for this file is too large to render. See raw diff
data/valid.tsv ADDED
The diff for this file is too large to render. See raw diff
klue-tc-dev-tsv.py ADDED
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+ from __future__ import absolute_import, division, print_function
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+ import datasets
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+ _URL = "data/"
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+ _URLs = {
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+ "train": _URL + "train.tsv",
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+ "valid": _URL + "valid.tsv",
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+ "test": _URL + "test.tsv",
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+ }
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+
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+
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+ class KlueTC(datasets.GeneratorBasedBuilder):
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description="KLUE Topic Classification (Dev Split)",
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+ features=datasets.Features(
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+ {
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+ "text": datasets.Value("string"),
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+ "label": datasets.features.ClassLabel(names=['정치', '세계', 'IT과학', '스포츠', '사회', '경제', '생활문화']),
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+ }
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+ ),
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+ supervised_keys=None,
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+ license="",
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+ homepage="",
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+ citation="",
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ downloaded_files = dl_manager.download_and_extract(_URLs)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "filepath": downloaded_files["train"],
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+ }
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ gen_kwargs={
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+ "filepath": downloaded_files["valid"],
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+ }
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ gen_kwargs={
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+ "filepath": downloaded_files["test"],
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+ }
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ with open(filepath, "r", encoding='UTF-8') as f:
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+ for idx, line in enumerate(f):
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+ text, label = line.split("\t")
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+ yield idx, {"text": text.strip(), "label": label.strip()}