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/hdf5/hdf5.py", line 49, in _split_generators
import h5py
ModuleNotFoundError: No module named 'h5py'
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.
ERA5
Dataset Description
ERA5 is the fifth-generation global atmospheric reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). By combining global observations with physical models, it provides consistent and comprehensive global estimates of hourly, high-resolution (approximately 31 km) climate variables covering the atmosphere, land, and ocean from 1940 to the present.
Supported Tasks
This standardized data repository provides annual HDF5 files for 1979-2025. Each file contains multivariable atmospheric gridded fields, along with global means and standard deviations aligned with the variable order, and can be used by multiple weather models for training, inference data loading, evaluation, and visualization.
Dataset Format and Structure
Each annual file is in HDF5 format and follows the path pattern data/<year>.h5. Each file contains:
| HDF5 Path | shape | dtype | Description |
|---|---|---|---|
fields |
[T, 243, 721, 1440] |
float32 |
Multivariable gridded fields; variable names are stored in fields.attrs["variables"] |
global_means |
[1, 243, 1, 1] |
float32 |
Global means aligned with the variable order |
global_stds |
[1, 243, 1, 1] |
float32 |
Global standard deviations aligned with the variable order |
fields.attrs["time_step"] is 6, indicating 6-hour intervals. The detailed schema is provided in metadata/schema.yaml.
./static/ contains common static variables such as terrain and land-sea masks.
How to Use the Dataset
This dataset is suitable for multiple weather models in the OneScience-Sugon repository, including but not limited to GraphCast, FengWu, Fuxi, and Pangu_Weather.
Download the dataset:
hf download --dataset OneScience-Sugon/ERA5 --local-dir ./data
Official OneScience Information
| Platform | OneScience Main Repository | Skills Repository |
|---|---|---|
| Gitee | https://gitee.com/onescience-ai/onescience | https://gitee.com/onescience-ai/oneskills |
| GitHub | https://github.com/onescience-ai/OneScience | https://github.com/onescience-ai/oneskills |
Limitations and License
This dataset was converted from the original ECMWF ERA5 data and uses the same ECMWF CC-BY-4.0 license.
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