The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/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.
Dataset Card for 3D-NEXRAD
3D gridded radar reflectivity data collected from the U.S.NEXRAD WSR-88D radar network.
Dataset Description
The 3D-NEXRDA dataset comprises 3D radar observations of severe storm events across the United States, with each event captured at different geographic locations. The dataset provides high-resolution insights into storm dynamics with high temporal and spatial resolution.
Temporal Coverage:
Time Span: 2020.01.01 - 2022.12.31
Interval and Event Duration: 25 frames for each sequence spanning a period of 125 minutes per event
we are actively working to expand this dataset to cover the period from 2020 to 2022
Spatial Dimensions:
Horizontal Resolution: 512 × 512 for Each observation frame
Vertical Resolution: 28 levels, from 0.5 km to 7 km with 0.5 km intervals, and from 7 km to 22 km with 1 km intervals
Available Variables: 7 radar variables:
- Radar Reflectivity
- Velocity Spectrum Width
- Azimuthal Shear of the Radial Velocity
- Radial Divergence of the Radial Velocity
- Differential Radar Reflectivity
- Specific Differential Phase
- Copolar Correlation Coefficient
Data Source:
This dataset was re-collected, collated and pre-processed from:
GridRad-Severe - Three-Dimensional Gridded NEXRAD WSR-88D Radar Data for Severe Events. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Dataset. https://doi.org/10.5065/2B46-1A97. Accessed† 26 Nov 2024.
License: cc-by-4.0
Uses
Download and extract
cat nexrad-[YYYY].tar.gz.* | tar -zxv -C [your_dataset_dir]/
Citation
@inproceedings{
wang2025highdynamic,
title={High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation},
author={Ziye Wang and Yiran Qin and Lin Zeng and Ruimao Zhang},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=Cjz9Xhm7sI}
}
@misc{wang2025highdynamicradarsequenceprediction,
title={High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation},
author={Ziye Wang and Yiran Qin and Lin Zeng and Ruimao Zhang},
year={2025},
eprint={2502.14895},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2502.14895},
}
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