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MTG: A Benchmark Suite for Multilingual Text Generation

MTG is a multilingual multiway text generation benchmark suite. It is the first-proposed multilingual multiway text generation dataset with the largest human-annotated data (400k). It includes four generation tasks (story generation, question generation, title generation and text summarization) across five languages (English, German, French, Spanish and Chinese).

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Cite this as

Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li (2024). Dataset: MTG: A Benchmark Suite for Multilingual Text Generation. https://doi.org/10.57702/rnp41kvi

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Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.48550/arXiv.2108.07140
Citation	https://doi.org/10.18653/v1/2023.emnlp-main.616
Author	Yiran Chen
More Authors	Zhenqiao Song Xianze Wu Danqing Wang Jingjing Xu Jiaze Chen Hao Zhou Lei Li
Homepage	https://github.com/zide05/MTG