Datasets:
File size: 2,100 Bytes
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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"
}
] |