Commit
โข
fda8085
1
Parent(s):
0b3bd5a
Update parquet files
Browse files- .gitattributes +1 -0
- data/label.txt +0 -7
- data/test.tsv +0 -10
- data/train.tsv +0 -0
- data/valid.tsv +0 -0
- default/klue-tc-tsv-test.parquet +0 -0
- default/klue-tc-tsv-train.parquet +3 -0
- default/klue-tc-tsv-validation.parquet +0 -0
- klue-tc-tsv.py +0 -55
.gitattributes
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@@ -14,3 +14,4 @@
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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default/klue-tc-tsv-train.parquet filter=lfs diff=lfs merge=lfs -text
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data/label.txt
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์ ์น
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์ธ๊ณ
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IT๊ณผํ
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์คํฌ์ธ
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์ฌํ
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๊ฒฝ์
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์ํ๋ฌธํ
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data/test.tsv
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5์ต์ ๋ฌด์ด์ ์ต์๋ ๋๊ณ 7์ฒ๋ง์ ์ด์ฌ๋น๋ ์๋๋ค ์ฌํ
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์ ์์์ถฉ์ ์๋ง ๋ ๋ฉ๋ฆฌ ๋จ์ด์ ธ์ผ ํ๋ ํ๊ฒฝ์ฐ ๊ท์ ๊ฐํ ๊ฑด์ ์ฌํ
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ํญ์๊ณ ์ ์ฑ๋ถ ์ฝ๋ก๋19์ ํจ๊ณผโฆ์ธํฌ์คํ์ ํ์ธ IT๊ณผํ
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์ค๊ฑฐ๋๊ฐ ๊ฐ์ฅ ๋น์ผ ์ญ์ธ๊ถ์ ์ ๋ฐํฌ์ญโฆ3.3ใก๋น 1์ต ์ก๋ฐ ๊ฒฝ์
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๊ธฐ์ํ๊ฒฌ ํ๋ ์ฑ ์์์ ๋จ์ฒด ์ฌํ
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๋ชจ์์ ๊ฑฐ ๊ต์ก ๋ถํ ์ ๊ด์ยท๊ต์ก๋ถ ๊ฐ์ฑํ๋ผ ์ฌํ
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๋ฎค์ง์ปฌ ์์
ํฉ๋ฅํ ์์ฌ์ฑ ์ ์ฑํ์ ๋ค๋ฅธ ์์ค๊ทผ ๋ณด์ฌ์ค๊ฒ ์ํ๋ฌธํ
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๊ฐ์ง๋ด์ค ์ง๋ฒ์ ์ํด๋ฐฐ์์ ๋ ๋์
๋ณํ ํ ๋ก ํ ์ฌํ
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MBN ๋
ธ์กฐ ๋ถ๋์ฐ ๋ฌผ์ ๋ถํ ์ค๋จํ๊ณ ์์ ๊ฒฝ์ ๋ถ๋ฆฌํด์ผ ์ฌํ
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ํฌ์ค์ฝ๊ฑด์ค 11๋
๋ง์ ๋ ์ต ๋ธ๋๋ ๋ก๊ณ ๊ต์ฒด ๊ฒฝ์
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data/train.tsv
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The diff for this file is too large to render.
See raw diff
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data/valid.tsv
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The diff for this file is too large to render.
See raw diff
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default/klue-tc-tsv-test.parquet
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Binary file (2.65 kB). View file
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default/klue-tc-tsv-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc16d56c2232ad2086c3e0fd0fac334a7f3aca2e36349abf631ffd05c085071d
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size 2566827
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default/klue-tc-tsv-validation.parquet
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Binary file (519 kB). View file
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klue-tc-tsv.py
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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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class KlueTC(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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description="KLUE Topic Classification",
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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=['์ ์น', '์ธ๊ณ', 'IT๊ณผํ', '์คํฌ์ธ ', '์ฌํ', '๊ฒฝ์ ', '์ํ๋ฌธํ']),
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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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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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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()}
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