MUGEN-Benchmark/Interruption_Detection
Interruption Detection Dataset Each example contains five dialogue audio options (A–E).Task: listen to the five recordings and choose the one that clearly contains interruption / talking-over with noticeable overlapping speech.Exclusions: shared laughter, brief backchannels/agreements, fillers, and non-speech noises do not count as interruption.
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Interruption Detection Dataset
Each example contains five dialogue audio options (A–E). Task: listen to the five recordings and choose the one that clearly contains interruption / talking-over with noticeable overlapping speech. Exclusions: shared laughter, brief backchannels/agreements, fillers, and non-speech noises do not count as interruption.
