README.md

---
license: cc-by-nc-4.0
task_categories:
  - video-text-to-text
language:
  - en
pretty_name: DVD-Bench
size_categories:
  - 1K<n<10K
tags:
  - video
  - dialogue
  - speaker
  - benchmark
configs:
  - config_name: en
    data_files:
      - split: test
        path: data/en/test.parquet
---

# DVD-Bench
A benchmark for **D**ialogue-centric **V**ideo **D**escription, evaluating **"When, Who, and What is Said"** in dialogue-centric videos.

<div align="center">
<a href="https://arxiv.org/abs/2602.07960"><img src="https://img.shields.io/badge/arXiv-2602.07960-b31b1b.svg" alt="arXiv"></a>
<a href="https://github.com/WeChatCV/D-ORCA"><img src="https://img.shields.io/badge/GitHub-Code-blue" alt="GitHub Code"></a>
</div>

## Repository layout

```
DVD-Bench/
├── data/
│   └── en/
│       └── test.parquet       # English test split annotations
└── videos/
    └── en/
        └── *.mp4              # English test split videos
```

## Annotation schema

Each row in `data/en/test.parquet` contains:

| field      | type                                                       | description                                            |
|------------|------------------------------------------------------------|--------------------------------------------------------|
| `video`    | `string`                                                   | Video filename, e.g. `e-mNCJPxQvQ.mp4`. The actual file is at `videos/en/<video>` in this repo. |
| `character`| `list<string>`                                             | List of character descriptions appearing in the video. |
| `dialogue` | `list<struct{speaker: string, content: string, time: list<string>}>` | Ordered list of utterances; `time = [start, end]` in `MM:SS`. |

## Quickstart

```python
from datasets import load_dataset

ds = load_dataset("tsinghua-ee/DVD-Bench", name="en", split="test")
print(ds[0])

# To get the actual video file, download it from videos/en/<video>:
from huggingface_hub import hf_hub_download
video_path = hf_hub_download(
    repo_id="tsinghua-ee/DVD-Bench",
    repo_type="dataset",
    filename=f"videos/en/{ds[0]['video']}",
)
```

## Evaluation Results

| Model | DVD-Bench (En) <br> Acc% ↑ | DVD-Bench (En) <br> WER% ↓ | DVD-Bench (En) <br> IoU% ↑ | DVD-Bench (Zh) <br> Acc% ↑ | DVD-Bench (Zh) <br> CER% ↓ | DVD-Bench (Zh) <br> IoU% ↑ |
| :--- | :---: | :---: | :---: | :---: | :---: | :---: |
| ARC-Qwen-Video-Narrator (7B) | 66.4 | 65.0 | 23.0 | 63.2 | 53.6 | 10.1 |
| Qwen2.5-Omni (7B) | 62.7 | 83.6 | - | 55.7 | 69.4 | - |
| video-SALMONN 2+ (7B) | 66.6 | 94.0 | - | 59.9 | - | - |
| AVoCaDO (7B) | 72.9 | 17.9 | - | 69.3 | - | - |
| Qwen3-Omni-Instruct (30B-A3B) | 67.8 | 91.3 | - | 63.5 | 60.6 | - |
| Ours-SFT Model (8B) | 71.2 | 29.8 | 31.8 | 69.6 | 30.3 | 24.7 |
| D-ORCA (8B) | **81.1** | **16.6** | **57.1** | **78.0** | **17.5** | **37.8** |

## 📅 Roadmap

- [x] Release **DVD-Bench (en)** evaluation data.
- [ ] Release **DVD-Bench (zh)** evaluation data.
- [ ] Release **DVD-Train** dataset annotations.

## Reference
If you find DVD-Bench useful for your research, please cite our paper:

```bibtex
@article{tang2026dorca,
  title={{D-ORCA: Dialogue-Centric Optimization for Robust Audio-Visual Captioning}}, 
  author={Changli Tang and Tianyi Wang and Fengyun Rao and Jing LYU and Chao Zhang},
  journal={arXiv preprint arXiv:2602.07960},
  year={2026}
}
```