Dataset · Hugging Face

omniagentbenchspeech/OmniAgentBench

Name: OmniAgentBench
Creator: omniagentbenchspeech
License: mit
Keywords: task_categories:automatic-speech-recognition, task_categories:visual-question-answering, task_categories:robotics, task_categories:text-generation, multilinguality:monolingual, language:en, license:mit, size_categories:10K<n<100K, format:audiofolder, modality:audio, modality:image, library:datasets, library:mlcroissant, region:us, multimodal

OmniAgentBench Dataset Overview OmniAgentBench is a benchmark for evaluating multimodal agents under realistic "wild" conditions: speech input, acoustic noise, dense/scattered instructions, and multi-turn conversations. It wraps three existing agent benchmarks (MPCC, GUI Odyssey, EmbodiedBench) with speech audio, noise overlays, and wild text rewrites so that the same tasks can be evaluated under controlled input-modality variations. Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/omniagentbenchspeech/OmniAgentBench.

View on Hugging FaceReport an issue

Author / organization	omniagentbenchspeech
License (as declared)	mit
Downloads	786 (as reported by Hugging Face)
Likes	0
Created	6 May 2026
Last updated at source	6 May 2026

multimodalspeechagentsbenchmarkwild-conditionsnoise-robustnessgui-navigationembodied-agentsconstraint-planning

Embed this entry

<iframe src="https://silytics.si/embed/item/ec9be623-9861-4648-8f74-2b04fd6c8695" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

786 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.