xxayt/LVOmniBench

Dataset

1

stars

2

commits

2

linked in READMEs

Jun 1, 2026

updated

audio
audio-visual
long-video
omni
video
Browse cluster: Multimedia processing and video benchmarking

README

LVOmniBench

This repository provides the question-answering metadata of the LVOmniBench benchmark in a format compatible with lmms-eval.

The data is provided as a single parquet file containing only the QA annotations. Since raw videos are not included, please download them from the original release and match them with the QA annotations using video_id.

Task configurations and evaluation scripts are available in the SEATS repository: https://github.com/xxayt/SEATS.

Overview

LVOmniBench is a benchmark for long-form audio-visual understanding with Omnimodal LLMs. Videos are 10–90 minutes long (≈ 34 min on average), about 6× longer than typical audio-visual benchmarks, and every question requires joint reasoning across audio and visual modalities.

StatisticValue
QA pairs1,014 (multiple choice, 4 options)
Videos10–90 minutes, average ≈ 2,069 s (~34 min)
Audio typesSpeech, Sound, Music, Mixed
DifficultyLow / Medium / High
Question typesHuman-Centric Understanding, Event Reasoning, Causal, ...
LanguageEnglish
LicenseApache-2.0

License

Released under the Apache-2.0 license. The upstream KD-TAO/LVOmniBench release does not specify a license, so this repackaged QA split defaults to Apache-2.0.

Contributors

XX
xxayt

2 commits

xxayt/LVOmniBench

Dataset

1

stars

2

commits

2

linked in READMEs

Jun 1, 2026

updated

audio
audio-visual
long-video
omni
video
Browse cluster: Multimedia processing and video benchmarking

README

LVOmniBench

This repository provides the question-answering metadata of the LVOmniBench benchmark in a format compatible with lmms-eval.

The data is provided as a single parquet file containing only the QA annotations. Since raw videos are not included, please download them from the original release and match them with the QA annotations using video_id.

Task configurations and evaluation scripts are available in the SEATS repository: https://github.com/xxayt/SEATS.

Overview

LVOmniBench is a benchmark for long-form audio-visual understanding with Omnimodal LLMs. Videos are 10–90 minutes long (≈ 34 min on average), about 6× longer than typical audio-visual benchmarks, and every question requires joint reasoning across audio and visual modalities.

StatisticValue
QA pairs1,014 (multiple choice, 4 options)
Videos10–90 minutes, average ≈ 2,069 s (~34 min)
Audio typesSpeech, Sound, Music, Mixed
DifficultyLow / Medium / High
Question typesHuman-Centric Understanding, Event Reasoning, Causal, ...
LanguageEnglish
LicenseApache-2.0

License

Released under the Apache-2.0 license. The upstream KD-TAO/LVOmniBench release does not specify a license, so this repackaged QA split defaults to Apache-2.0.

Contributors

XX
xxayt

2 commits