  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.
