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/python3.12/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/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1387, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1338, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
t = cls(name, filemode, stream, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
self.firstmember = self.next()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
raise ReadError(str(e)) from None
tarfile.ReadError: invalid header
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 66, 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.
If you use ClimateSuite, please ❤️ like this dataset and ⭐ star the SPF GitHub repository for updates.
ClimateSuite
ClimateSuite is a large collection of Earth system model simulations for climate emulation. It was curated for Spatiotemporal Pyramid Flow Matching for Climate Emulation, which introduces Spatiotemporal Pyramid Flows (SPF) for efficient probabilistic climate emulation across temporal and spatial scales.
This repository stores ClimateSuite as archive-sharded Zarr data in the following format:
grid.nc
inputs/<timescale>/*.zarr
outputs/<climate_model>/<timescale>/*.zarr
The current release includes decadal, yearly, and monthly data for ten climate models: BCC-CSM2-MR, CESM2, CESM2-WACCM, CMCC-CM2-SR5, CMCC-ESM2, GFDL-ESM4, IPSL-CM6A-LR, MRI-ESM2-0, NorESM2-LM, and UKESM1-0-LL.
Downloading the data
The recommended path for SPF users is the repository helper, which downloads matching archive shards and extracts them automatically:
from emulator.src.data.huggingface import download_climate_dataset
cache_dir = "/path/to/fast/cache"
# Download and extract the full dataset.
data_dir = download_climate_dataset(
"jirvin16/ClimateSuite",
cache_dir=cache_dir,
)
# Download and extract a specific model/timescale subset.
data_dir = download_climate_dataset(
"jirvin16/ClimateSuite",
cache_dir=cache_dir,
climate_models=["NorESM2-LM"],
timescales=["yearly"],
)
You can also download raw archive shards directly with huggingface_hub:
from huggingface_hub import snapshot_download
cache_dir = "/path/to/fast/cache"
# Full archive download.
snapshot_download(
repo_id="jirvin16/ClimateSuite",
repo_type="dataset",
cache_dir=cache_dir,
)
# Specific subset: shared yearly inputs and yearly NorESM2-LM outputs.
snapshot_download(
repo_id="jirvin16/ClimateSuite",
repo_type="dataset",
cache_dir=cache_dir,
allow_patterns=[
"README.md",
"manifest.json",
"grid.nc",
"inputs/yearly/*.zarr.tar.zst",
"outputs/NorESM2-LM/yearly/*.zarr.tar.zst",
],
)
Relevant Links
Citation
@inproceedings{irvin2026spatiotemporal,
title={Spatiotemporal Pyramid Flow Matching for Climate Emulation},
author={Irvin, Jeremy Andrew and Han, Jiaqi and Wang, Zikui and Alharbi, Abdulaziz and Zhao, Yufei and Bayarsaikhan, Nomin-Erdene and Visioni, Daniele and Ng, Andrew Y. and Watson-Parris, Duncan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2026}
}
Contact
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