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The data article presents the large bilingual parallel corpus oflow-resourced language pair Sanskrit-Hindi, named SAHAAYAK 2023. The corpuscontains total of 1.5M sentence pairs between Sanskrit and Hindi. To make theuniversal usability of the corpus and to make it balanced, data from multipledomain has been incorporated into the corpus that includes, News, Dailyconversations, Politics, History, Sport, and Ancient Indian Literature. Themultifaceted approach has been adapted to make a sizable multi-domain corpus oflow-resourced languages like Sanskrit. Our development approach is spanned fromcreating a small hand-crafted dataset to applying a wide range of mining,cleaning, and verification. We have used the three-fold process of mining:mining from machine-readable sources, mining from non-machine readable sources,and collation from existing corpora sources. Post mining, the dedicatedpipeline for normalization, alignment, and corpus cleaning is developed andapplied to the corpus to make it ready to use on machine translationalgorithms.

SAHAAYAK 2023 -- the Multi Domain Bilingual Parallel Corpus of Sanskrit to Hindi for Machine Translation