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.
dust-source-events input data
Input data of the Terminal-Bench Science task dust-source-events: 60 anonymized observation windows of Himawari-8/9 Advanced Himawari Imager infrared brightness temperature (six bands, 14 hours at 10-minute intervals each) and the window list. The archive dust-source-events/input/dust-source-events.tar unpacks to windows.csv and windows/{window_id}.nc.
Data licences
The files in windows/ are derived from Himawari-8/9 Advanced Himawari Imager Level 1b
full-disk data (Himawari Standard Data), obtained only from the NOAA Open Data Dissemination
buckets noaa-himawari8 and noaa-himawari9 on AWS.
Terms of the source, as published in the AWS Registry of Open Data (version of 2025-03-14):
Himawari data is produced and managed by JMA. NOAA has rights to distribute this data freely and openly to the public. NOAA makes data openly available to ensure maximum use of our data, and to spur and encourage exploration and innovation throughout the industry. NOAA and JMA request attribution for the use or dissemination of unaltered data. However, it is not permissible to state or imply endorsement by or affiliation with NOAA or JMA. If you modify these data, you may not state or imply that it is original, unaltered data.
Attribution: Himawari-8/9 data produced by the Japan Meteorological Agency (JMA) and distributed by NOAA through the NOAA Open Data Dissemination Program.
Modification: brightness temperatures were computed from the Level 1b data with the calibration in each source file, rounded to 0.01 K and cropped. These are not the original, unaltered data.
No endorsement by or affiliation with NOAA or JMA is stated or implied. No data were obtained from JAXA P-Tree, DIAS, NICT, CEReS or JMBSC. No new licence is added to these data.
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