CMHG: A Dataset and Benchmark for Headline Generation of Minority
  Languages in China
Authors: name: Guixian Xu, name: Zeli Su, name: Ziyin Zhang, name: Jianing Liu, name: XU Han, name: Ting Zhang, name: Yushuang Dong

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.