---
license: apache-2.0
task_categories:
- video-text-to-text
- visual-question-answering
- question-answering
language:
- en
tags:
- omni
- audio
- video
- audio-visual
- audio-centric
pretty_name: AVUTBenchmark (AV-Human split, repackaged for lmms-eval)
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: test
    path: av_human_data/test-*
dataset_info:
  features:
  - name: video_id
    dtype: string
  - name: question_id
    dtype: string
  - name: video_type
    dtype: string
  - name: task_type
    dtype: string
  - name: question
    dtype: string
  - name: options
    dtype: string
  - name: answer
    dtype: string
  - name: video_path
    dtype: string
  - name: subset_type
    dtype: string
  splits:
  - name: test
    num_bytes: 1050000
    num_examples: 1734
---

# AVUTBenchmark

This repository provides the **AV-Human** split of the [**AVUT**](https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark) benchmark in a format compatible with [**lmms-eval**](https://github.com/EvolvingLMMs-Lab/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](https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark) and match them with the QA annotations using `video_path`.

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

## Overview

AVUT is an audio-centric video understanding benchmark that evaluates multimodal LLMs on both audio content comprehension and audio-visual interaction. It introduces an answer permutation-based filtering mechanism to eliminate the "text shortcut problem" where answers can be inferred from question text alone. We use the **AV-Human** partition containing expert-annotated QA pairs across 18 audio-centric domains.

| Statistic        | Value                                                                |
|------------------|----------------------------------------------------------------------|
| QA pairs         | 1,734 (multiple choice, 4 options)                                   |
| Videos           | 691 videos, average ≈ 69 s                                          |
| Video types      | interview, music, education, sports, vlog, news, ... (18 domains)   |
| Task types       | Audio Character Matching, Audio OCR Matching, Audio Event Location, ...|
| Language         | English                                                              |
| License          | Apache-2.0                                                           |

## License

Released under the **Apache-2.0** license. The upstream
[tsinghua-ee/AVUTBenchmark](https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark)
release does not specify a license, so this repackaged QA split defaults to
Apache-2.0.