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.
Italian earthquake records, 2005 to 2015
Three-component records of the 7,247 earthquakes of magnitude 2.5 and above with an origin from 2005 to 2015, at the first 25 stations to pick the P wave, 30 s from 5 s before the event's earliest P pick, 100 samples per second, in m/s or m/s2 (each sensor's counts divided by its overall sensitivity), with the station table, the P picks and the catalogue.
train-00.tar holds events.csv, traces.csv and the first half of waveforms/<event_id>.npy, train-01.tar
the rest. Each .npy is float32 (traces, 3, 3000), components east, north, vertical.
Source and licence
Derived from INSTANCE, the Italian Seismic Dataset for Machine Learning: Alberto Michelini, Spina Cianetti, Sonja Gaviano, Carlo Giunchi, Dario Jozinovic and Valentino Lauciani, Istituto Nazionale di Geofisica e Vulcanologia (INGV), 2021, https://doi.org/10.13127/instance (events data in digital counts, events metadata version 3, stations inventory), described in Michelini et al., Earth System Science Data 13, 5509-5544 (2021), https://doi.org/10.5194/essd-13-5509-2021. Licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode), as is this derived dataset.
Changes: earthquakes of magnitude 2.5 and above from 2005 to 2015 selected; records cut to a common 30 s window and limited to the first 25 traces by P pick; counts divided by each channel's overall sensitivity; most metadata fields dropped. The authors do not endorse these changes.
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