Datasets:

justdubit
/

audiovisual_translation_dub

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
💻 Code: github.com/justdubit/just-dub-it
🤗 Model: 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" } ]