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 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 68, 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.
M2-Weather: M3 station datasets
This repository contains the processed M3 station datasets used by M2-Weather. The data are packaged by region so each archive can be downloaded separately.
| Archive | Stations | Quality tiers | Period |
|---|---|---|---|
France.tar.gz |
176 | Q0 + Q1 | 2017–2021 |
Europe.tar.gz |
983 | Q0 + Q1 | 2017–2021 |
Global.tar.gz |
2,504 | Q0 | 2017–2021 |
Each archive extracts to a directory of the same name and includes its own README.md, manifest.json, the main .npy data array, value source codes, station metadata, and missing data statistics. The main arrays use [station, channel, time] with 43,824 hourly UTC steps. The eight channels are latitude, longitude, elevation, air temperature, dew point temperature, wind speed, air pressure, and wind direction.
tar -xzf France.tar.gz
tar -xzf Europe.tar.gz
tar -xzf Global.tar.gz
Read M3_README.md and the README.md inside each archive for the data schema, processing details, and loading example. Station observations originate from C3S; missing dynamic values were filled using ERA5 and documented fallbacks. Check the upstream data terms when reusing the underlying source data.
Check downloaded archives with sha256sum -c SHA256SUMS.
Source and reuse
Contains modified Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. Station observations can have additional provider-specific conditions; consult the applicable Copernicus land observations data policy and the source metadata before redistributing or using them commercially.
The M2-Weather code repository uses MIT; that software license does not grant rights to third-party observation data in these archives.
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