Datasets:
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.
CMEMS
Dataset Description
CMEMS is an HDF5 gridded dataset for global ocean forecasting tasks. By integrating satellite and in situ observations with numerical ocean models, it provides real-time analyses, forecasts, and historical reconstructions for a variety of variables.
Supported Tasks
This standardized data repository contains 7 annual files covering 1993-1999. Each file provides ocean variable fields, global means, and global standard deviations, and can be used for XiHe model training, validation, testing, inference input, and evaluation.
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 |
[3, 96, 2041, 4320] |
float32 |
3 time samples, 96 variables, and a global grid |
global_means |
[1, 96, 1, 1] |
float32 |
Global means aligned with the variable order |
global_stds |
[1, 96, 1, 1] |
float32 |
Global standard deviations aligned with the variable order |
fields.attrs["variables"] contains the names of 96 variables, and fields.attrs["time_step"] is 24. The detailed schema is provided in metadata/schema.yaml.
How to Use the Dataset
This dataset is compatible with the OneScience-Sugon/XiHe model.
Download the dataset:
hf download --dataset OneScience-Sugon/CMEMS --local-dir ./CMEMS
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
CMEMS follows an open data policy consistent with CC-BY-4.0 principles (official license agreement), and the dataset is licensed under CC-BY-4.0.
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