Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Korean
Size:
10K - 100K
ArXiv:
License:
Update README.md
Browse files
README.md
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language_creators:
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- crowdsourced
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- MIT
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- monolingual
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- 10K<n<100K
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- original
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- extended|kor_hate
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---
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task_categories:
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- text-classification
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---
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# Dataset for project: kor_hate_eval
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## Dataset Descritpion
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This dataset has been automatically processed by AutoTrain for project kor_hate_eval.
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### Languages
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ko-KR
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## Dataset Structure
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### Data Instances
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A sample from this dataset looks as follows:
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```json
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[
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{
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"text": "(\ud604\uc7ac \ud638\ud154\uc8fc\uc778 \uc2ec\uc815) \uc54418 \ub09c \ub9c8\ub978\ud558\ub298\uc5d0 \ub0a0\ubcbc\ub77d\ub9de\uace0 \ud638\ud154\ub9dd\ud558\uac8c\uc0dd\uacbc\ub294\ub370 \ub204\uad70 \uacc4\uc18d \ucd94\ubaa8\ubc1b\ub124....",
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"target": 1
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},
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{
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"text": "....\ud55c\uad6d\uc801\uc778 \ubbf8\uc778\uc758 \ub300\ud45c\uc801\uc778 \ubd84...\ub108\ubb34\ub098 \uacf1\uace0\uc544\ub984\ub2e4\uc6b4\ubaa8\uc2b5...\uadf8\ubaa8\uc2b5\ub4a4\uc758 \uc2ac\ud514\uc744 \ubbf8\ucc98 \uc54c\uc9c0\ubabb\ud588\ub124\uc694\u3160",
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"target": 0
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}
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]
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```
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### Dataset Fields
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The dataset has the following fields (also called "features"):
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```json
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{
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"text": "Value(dtype='string', id=None)",
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"target": "ClassLabel(num_classes=2, names=['Default', 'Spoiled'], id=None)"
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}
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```
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### Dataset Splits
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This dataset is split into a train and validation split. The split sizes are as follow:
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| Split name | Num samples |
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| ------------ | ------------------- |
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| train | 7896 |
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| valid | 3770 |
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