---
license: cc-by-nc-4.0
task_categories:
  - video-to-video
language:
  - en
  - multilingual
tags:
  - video-dubbing
  - lip-sync
  - audio-video
  - ltx-2
  - justdubit
  - multimodal
size_categories:
  - 1<n<100
---

# Audiovisual Translation Dubbing Dataset

A paired video dataset for training video dubbing and lip-sync models, as described in the paper **"JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion"**.

📄 **Project**: [justdubit.github.io](https://justdubit.github.io)  
💻 **Code**: [github.com/justdubit/just-dub-it](https://github.com/justdubit/just-dub-it)  
🤗 **Model**: [huggingface.co/justdubit/justdubit](https://huggingface.co/justdubit/justdubit)

## Dataset Description

This dataset contains paired video samples for training synchronized audio-video dubbing models. Each sample includes:

- **Target video**: The dubbed output with translated speech and synchronized lip movements
- **Reference video**: The original source video used as conditioning
- **Face segmentation masks**: (Optional) Binary masks highlighting facial regions for masked loss training
- **Text captions**: Structured prompts with speaker description, language, and dialogue

### Intended Use

- Training LoRA adapters for video dubbing tasks
- Fine-tuning audio-video models for lip-sync generation
- Research in multimodal translation and dubbing

### Dataset Structure

The dataset is organized as follows:

- `audiovisual_translation_dub/`
  - `dataset.json` - Metadata file with captions and paths
  - `target/` - Dubbed output videos
    - `001.mp4`
    - `002.mp4`
    - ...
  - `reference/` - Original source videos
    - `001.mp4`
    - `002.mp4`
    - ...
  - `face_masks/` - (Optional) Face segmentation masks
    - `001.mp4`
    - `002.mp4`
    - ...

### Data Format

The `dataset.json` file contains entries in the following format:

[
  {
    "caption": "The woman is speaking English, saying: 'Hello, how are you today?'",
    "media_path": "videos/target_001.mp4",
    "reference_path": "references/reference_001.mp4",
    "mask_path": "masks/mask_001.mp4"
  }
]