Dataset · Hugging Face

Hothan/Omni-DuplexEval

Name: Omni-DuplexEval
Creator: Hothan
License: apache-2.0
Keywords: license:apache-2.0, size_categories:n<1K, format:parquet, format:optimized-parquet, modality:audio, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2605.17360, region:us

Omni-DuplexEval 📖 arXiv | GitHub Omni-DuplexEval is a benchmark for evaluating real-time duplex multimodal interaction. Unlike conventional offline video understanding benchmarks, Omni-DuplexEval focuses on streaming settings where models must continuously process evolving multimodal inputs and decide what to respond and when to respond. The benchmark contains two scenarios: Real-Time Description (RTD): evaluates continuous streaming description ability. Proactive Reminder (PR):… See the full description on the dataset page: https://huggingface.co/datasets/Hothan/Omni-DuplexEval.

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Author / organization	Hothan
License (as declared)	apache-2.0
Downloads	51.1K (as reported by Hugging Face)
Likes	0
Created	17 May 2026
Last updated at source	20 May 2026

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