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DVD-Bench

A benchmark for Dialogue-centric Video Description, evaluating "When, Who, and What is Said" in dialogue-centric videos.

arXiv GitHub Code

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

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)
Acc% ↑
DVD-Bench (En)
WER% ↓
DVD-Bench (En)
IoU% ↑
DVD-Bench (Zh)
Acc% ↑
DVD-Bench (Zh)
CER% ↓
DVD-Bench (Zh)
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

  • 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:

@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}
}
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