Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Korean
Size:
1M - 10M
License:
Update README.md
Browse files
README.md
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@@ -46,22 +46,3 @@ The data is distributed under the [CC0 1.0](https://creativecommons.org/publicdo
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McAuley, Julian, and Jure Leskovec. "Hidden factors and hidden topics: understanding rating dimensions with review text." In Proceedings of the 7th ACM conference on Recommender systems, pp. 165-172. 2013.
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Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015)
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## Citation Information
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```
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@inproceedings{KITD,
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title={언어 번역 모델을 통한 한국어 지시 학습 데이터 세트 구축},
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author={임영서, 추현창, 김산, 장진예, 정민영, 신사임},
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booktitle={제 35회 한글 및 한국어 정보처리 학술대회},
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pages={591--595},
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year={2023}
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}
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@inproceedings{KITD,
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title={Korean Instruction Tuning Dataset},
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author={Yeongseo Lim, HyeonChang Chu, San Kim, Jin Yea Jang, Minyoung Jung, Saim Shin},
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booktitle={Proceedings of the 35th Annual Conference on Human and Cognitive Language Technology},
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pages={591--595},
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year={2023}
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}
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```
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McAuley, Julian, and Jure Leskovec. "Hidden factors and hidden topics: understanding rating dimensions with review text." In Proceedings of the 7th ACM conference on Recommender systems, pp. 165-172. 2013.
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Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015)
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