PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow · 2023
This paper introduces PMIndiaSum, a multilingual and massively parallel summarization corpus focused on languages in India.Our corpus provides a training and testing ground for four language families, 14 languages, and the largest to date with 196 language pairs.We detail our construction workflow including data acquisition, processing, and quality assurance.Furthermore, we publish benchmarks for monolingual, cross-lingual, and multilingual summarization by fine-tuning, prompting, as well as translate-and-summarize. Experimental results confirm the crucial role of our data in aiding summarization between Indian languages.Our dataset is publicly available and can be freely modified and re-distributed.1 * Equal contribution. 1 The corpus is released under the CC BY 4.0 license at https://huggingface.co/datasets/PMIndiaData/PMIndiaSum 2 This paper refers to the languages widely used in India as "languages in India" or "Indian languages", but they are not exclusive to India and are spoken worldwide.