---
license: apache-2.0
---

# VidAudio-Bench: Benchmarking V2A and VT2A Generation across Five Audio Categories

## 1. Overview

VidAudio-Bench is a comprehensive multi-task benchmark designed for evaluating both Video-to-Audio (V2A) and Video-Text-to-Audio (VT2A) generation systems.

The benchmark comprises 1,634 video-text pairs spanning five audio categories:

- SFX: 400 samples
- Music: Instrument: 191 samples ; BGM: 231 samples
- Speech: 412 samples
- Singing: 400 samples

VidAudio-Bench aims to facilitate the evaluation of:
- Audio-video synchronization
- Semantic consistency between video and generated audio
- Text-guided controllable audio generation
- Fine-grained audio category understanding

---

## 2. Dataset Structure

The dataset is organized as follows:

```text
VidAudio-Bench/
├── original_videos/    # original video files (.mp4)
├── silent_videos/      # muted video files (.mp4)
├── annotations/        # metadata files (.jsonl)
```

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## 3. Data Format

Each sample in the annotation file follows the format below:

```json
{
  "video_name": "6TiZ1coebWw_76s",
  "category": "SFX",
  "V2A_positive_prompt": "Realistic foley sound synchronized with the video.",
  "negative_prompt": "music, background music, speech, singing",
  "VT2A_positive_prompt": "Realistic foley sound of a fan rotating."
}
```

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## 4. Citation

If you use this dataset, please cite:

```bibtex
@article{zhang2026vidaudio,
  title={VidAudio-Bench: Benchmarking V2A and VT2A Generation across Five Audio Categories},
  author={Zhang, Qian and Cao, Yuqin and Gao, Yixuan and Min, Xiongkuo},
  journal={arXiv preprint arXiv:2604.10542},
  year={2026}
}
```