CMHG: A Dataset and Benchmark for Headline Generation of Minority
  Languages in China
Minority languages in China, such as Tibetan, Uyghur, and Traditional
Mongolian, face significant challenges due to their unique writing systems,
which differ from international standards. This discrepancy has led to a severe
lack of relevant corpora, particularly for supervised tasks like headline
generation. To address this gap, we introduce a novel dataset, Chinese Minority
Headline Generation (CMHG), which includes 100,000 entries for Tibetan, and
50,000 entries each for Uyghur and Mongolian, specifically curated for headline
generation tasks. Additionally, we propose a high-quality test set annotated by
native speakers, designed to serve as a benchmark for future research in this
domain. We hope this dataset will become a valuable resource for advancing
headline generation in Chinese minority languages and contribute to the
development of related benchmarks.
68c7928dee0eed1697d6b757
Guixian Xu
admin_assigned
2025-09-15T15:22:22.199Z
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/avatars/f33e118950e329ce5612877413806e49.svg
GUIXIAN XU
user
Stuart-Xu
68c7928dee0eed1697d6b758
Zeli Su
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Ziyin Zhang
claimed_verified
2025-09-15T15:06:30.903Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/Y9SPnRfpKSbYc7MhNdP-H.jpeg
Ziyin Zhang
user
Geralt-Targaryen
68c7928dee0eed1697d6b75a
Jianing Liu
68c7928dee0eed1697d6b75b
XU Han
68c7928dee0eed1697d6b75c
Ting Zhang
68c7928dee0eed1697d6b75d
Yushuang Dong
CMHG: A Dataset and Benchmark for Headline Generation of Minority
  Languages in China
Minority languages in China, such as Tibetan, Uyghur, and Traditional
Mongolian, face significant challenges due to their unique writing systems,
which differ from international standards. This discrepancy has led to a severe
lack of relevant corpora, particularly for supervised tasks like headline
generation. To address this gap, we introduce a novel dataset, Chinese Minority
Headline Generation (CMHG), which includes 100,000 entries for Tibetan, and
50,000 entries each for Uyghur and Mongolian, specifically curated for headline
generation tasks. Additionally, we propose a high-quality test set annotated by
native speakers, designed to serve as a benchmark for future research in this
domain. We hope this dataset will become a valuable resource for advancing
headline generation in Chinese minority languages and contribute to the
development of related benchmarks.