Create README.md

README.md

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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
+  - `videos/` - Dubbed output videos
+    - `target_001.mp4`
+    - `target_002.mp4`
+    - ...
+  - `references/` - Original source videos
+    - `reference_001.mp4`
+    - `reference_002.mp4`
+    - ...
+  - `masks/` - (Optional) Face segmentation masks
+    - `mask_001.mp4`
+    - `mask_002.mp4`
+    - ...
+  - `validation/` - Validation samples
+    - `sample.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"
+  }
+]