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Table · dataset · 2026

MultiTalkBench

Listed in Hugging Face Datasets

MultiTalkBench MultiTalkBench is the first benchmark to jointly evaluate long, multi-party, and bilingual full-duplex dialogue.

Description

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: huggingface.co/datasets/MultiTalk/MultiTalkBench.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
audio · audio to audio · text
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsMultiTalk/MultiTalkBench14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:audiosource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:audiomapping · Hugging Facevocabulary-mapper@1.0.0keywords['speech']
concepts[task].hf_task:audio-to-audiosource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0