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CMLI-NLP/CUTE-Datasets

CUTE Dataset CUTE (Chinese, Uyghur, Tibetan, English) 是一个大规模多语言数据集,专门设计用于增强低资源语言的跨语言知识迁移。数据集包含平行语料和非平行语料两部分,总规模约50GB。 数据集组成 平行语料 (24.70GB) 中文:2.62GB 英语:3.49GB 维吾尔语:7.37GB 藏语:11.22GB 非平行语料 (25.80GB) 中文:2.64GB 英语:3.49GB 维吾尔语:7.77GB 藏语:11.90GB 数据质量 数据集通过机器翻译生成,并经过人工评估验证: 中英翻译平均得分:9.1 中维翻译平均得分:8.5 中藏翻译平均得分:8.6 使用说明 ⚠️ 平行语料重要提醒 关于句对级对齐: 四种语言的txt文件行数略有不同(如论文Table 2所示)… See the full description on the dataset page: https://huggingface.co/datasets/CMLI-NLP/CUTE-Datasets.

Author / organizationCMLI-NLP
License (as declared)cc-by-4.0
Downloads377 (as reported by Hugging Face)
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Created13 January 2025
Last updated at source2 August 2026
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