AVBench_model / README.md
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metadata
license: apache-2.0
language:
  - en
  - zh
library_name: transformers
tags:
  - avbench
  - audio-text
  - video-text
  - audio-video
base_model:
  - Qwen/Qwen2-Audio-7B-Instruct
  - Qwen/Qwen2.5-Omni-7B

AVBench Models

This repository hosts the evaluator models used in AVBench, a benchmark for text-to-audio-video generation quality and cross-modal consistency.

Hugging Face Dataset AVBench Models

AVBench in brief

AVBench evaluates generated content on two splits:

  • Normal split: common, easier samples.
  • Hard split: challenging samples with stronger cross-modal requirements.

It covers cross-modal alignment (Audio-Text / Video-Text / Audio-Video) and generation quality dimensions.

Dataset link:

Model zoo used by AVBench

Model Use in AVBench Trained / merged from
Qwen2-Audio-7B-AudioTextMatching-Merged Audio-Text consistency scoring (AT) Qwen/Qwen2-Audio-7B-Instruct
Qwen2.5-Omni-7B-VideoTextMatching-Merged Video-Text consistency scoring (VT) Qwen/Qwen2.5-Omni-7B
Qwen2.5-Omni-7B-AudioVideoMatching-Merged Audio-Video consistency scoring (AV) Qwen/Qwen2.5-Omni-7B

Notes

These models are released for AVBench evaluation and analysis.