File size: 2,882 Bytes
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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.
|