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This article introduces a new dataset and benchmark specifically for understanding scene text in Indian languages. The focus on a specific geographic and linguistic area suggests a potential contribution to the field of text recognition and understanding, particularly for languages that may be under-represented in existing datasets. The use of the term "novel" and "comprehensive" implies the dataset aims to address limitations of existing resources.
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