Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Light-Syn Dataset

πŸ“„ Paper  |  πŸš€ Project Page  |  πŸ’» GitHub

Introduction

Light-Syn is a synthetic dataset designed for learning controllable video generation under varying camera viewpoints and illumination conditions.
It is constructed via a synthetic data generation pipeline that produces paired video samples with controlled viewpoint and lighting variations from monocular visual inputs, and is introduced as training data for the Light-X framework, which enables joint control of camera motion and illumination in generative video models.

Release Note
The current public release of Light-Syn includes only the static scene subset, due to copyright and data usage constraints.
For access to the complete dataset (e.g., dynamic scenes), please contact Tianqi Liu (tq_liu at hust.edu.cn).


Dataset Structure

The dataset is organized as a collection of per-sample folders, where each folder corresponds to one scene and contains paired videos, text prompts, and lighting conditions.

A high-level directory structure is as follows:

Light-Syn/
β”œβ”€β”€ scene0/
β”‚   β”œβ”€β”€ input.mp4          # Input video
β”‚   β”œβ”€β”€ target.mp4         # Target video under new view / lighting
β”‚   β”œβ”€β”€ render.mp4         # Rendered result
β”‚   β”œβ”€β”€ mask.mp4           # Rendered valid-region mask
β”‚   β”œβ”€β”€ relit_render.mp4   # Relit rendering result
β”‚   β”œβ”€β”€ prompt.txt         # Text prompt describing the scene
β”‚   β”œβ”€β”€ id.txt             # Reference frame index (integer)
β”‚   β”œβ”€β”€ ref_light.png      # Reference lighting image (required for reference-based relighting)
β”‚   └── scene_000.exr      # HDR environment map (required for HDR-based relighting)
β”œβ”€β”€ scene1/
β”‚   └── ...

Citation

If you find our work useful for your research, please consider citing our paper:

@article{liu2025light,
  title={Light-X: Generative 4D Video Rendering with Camera and Illumination Control},
  author={Liu, Tianqi and Chen, Zhaoxi and Huang, Zihao and Xu, Shaocong and Zhang, Saining and Ye, Chongjie and Li, Bohan and Cao, Zhiguo and Li, Wei and Zhao, Hao and others},
  journal={arXiv preprint arXiv:2512.05115},
  year={2025}
}
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