Dataset · Hugging Face

MultiTalk/MultiTalkBench

Name: MultiTalkBench
Creator: MultiTalk
License: cc-by-sa-4.0
Keywords: task_categories:audio-to-audio, language:en, language:zh, license:cc-by-sa-4.0, size_categories:n<1K, format:parquet, modality:audio, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, speech, dialogue

MultiTalkBench MultiTalkBench is the first benchmark to jointly evaluate long, multi-party, and bilingual full-duplex dialogue. It tests speech-to-speech systems on: (a) Long interactions — conversations longer than ten minutes, with explicit probes for long-range entity tracking and topic coherence. (b) One-model-many-user multi-party interaction — quantitative addressee-selection and turn-taking metrics. (c) Chinese–English bilingual ability. To our knowledge, no prior benchmark… See the full description on the dataset page: https://huggingface.co/datasets/MultiTalk/MultiTalkBench.

View on Hugging FaceReport an issue

Author / organization	MultiTalk
License (as declared)	cc-by-sa-4.0
Downloads	491 (as reported by Hugging Face)
Likes	4
Created	5 May 2026
Last updated at source	6 May 2026

speechdialoguemulti-partybenchmarkmeetingpersona

Embed this entry

<iframe src="https://silytics.si/embed/item/cc84d07c-7d54-4427-95b6-508a27a68c12" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from MultiTalk

MultiTalk/MultiTalkFTDataset
MultiTalk/MultiTalkPTDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.