TurnBench is a benchmark for evaluating
conversational turn-taking: end-of-turn and interruption detection on real
annotated two-speaker conversations.
This repository contains the development split: 38 English conversations,
about 7.3 hours of audio, packaged as one row per conversation. Each row contains
two time-aligned per-speaker audio streams plus three independent annotator
tracks per speaker.… See the full description on the dataset page:
https://huggingface.co/datasets/mundo-ai/turn-benchmark-dev.
