Indic DiarBench is centered on conversations with two to nine speakers, featuring rapid turn-taking, backchanneling, interruptions, and overlapping speech. The dataset includes around 81 hours of meeting conversations with 485 unique speakers from 189 districts across India. It also has about 28 hours of in-the-wild conversations covering the 10 most-spoken Indian languages with around 750 unique speakers.