jayinnn/Skyfall-GS-ply
Image-to-3D • Updated • 2
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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 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, 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.
The datasets for Skyfall-GS
Project Page | Paper | GitHub
Skyfall-GS is a hybrid framework that synthesizes immersive, city-block scale 3D urban scenes by combining satellite reconstruction with diffusion refinement. This repository contains the JAX and NYC datasets used for training and evaluation.
Dataset Structure
According to the official GitHub documentation, the datasets should be organized in the data/ directory as follows:
data/
├── datasets_JAX/
│ ├── JAX_004
│ ├── JAX_068
│ └── ...
└── datasets_NYC/
├── NYC_004
├── NYC_010
└── ...
Each individual scene directory (e.g., JAX_068) contains the following structure:
your_dataset/
├── images/ # RGB images
│ ├── image_001.png
│ ├── image_002.png
│ └── ...
├── masks/ # Binary masks for valid pixels (optional)
│ ├── *.npy # NumPy format
│ ├── *.png # PNG format
│ └── ...
├── transforms_train.json # Training camera parameters
├── transforms_test.json # Testing camera parameters (optional)
└── points3D.txt # 3D point cloud
Citation
If you find this work or the datasets useful, please consider citing:
@article{lee2025SkyfallGS,
title = {{Skyfall-GS}: Synthesizing Immersive {3D} Urban Scenes from Satellite Imagery},
author = {Jie-Ying Lee and Yi-Ruei Liu and Shr-Ruei Tsai and Wei-Cheng Chang and Chung-Ho Wu and Jiewen Chan and Zhenjun Zhao and Chieh Hubert Lin and Yu-Lun Liu},
journal = {arXiv preprint},
year = {2025},
eprint = {2510.15869},
archivePrefix = {arXiv}
}
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