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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 46 new columns ({'trace_category', 'arias_component_snr_window_seconds', 'arias_bandpass_high_hz', 'arias_energy_percent', 'net', 'source_distance_km', 'arias90_component_bandpass_0p5_20hz', 'raw_s_index', 'trace_name', 'arias90_cutoff_method_bandpass_0p5_20hz', 'shift_samples', 'arias90_manual_absdiff_seconds_bandpass_0p5_20hz', 's_decay_diff', 's_decay', 'arias90_component_snr_bandpass_0p5_20hz', 'station_key', 's_decay_original', 'station', 's_decay_measured_original', 'arias_envelope_window_seconds', 'coda_end_sample_stead', 'tend_index_arias90_bandpass_0p5_20hz', 'station_code', 'keep_original_positions', 'arias90_e_snr_bandpass_0p5_20hz', 'tend_index_original', 'arias90_manual_close_10s_bandpass_0p5_20hz', 's_decay_measured', 'dataset_name', 'is_noise', 'trace_start_time', 's_decay_stead', 'source_magnitude', 'tend_index', 'raw_p_index', 'arias90_manual_close_5s_bandpass_0p5_20hz', 's_decay_from_s_arias90_bandpass_0p5_20hz', 'chunk', 'arias90_cutoff_arias_bandpass_0p5_20hz', 's_decay_arias90_bandpass_0p5_20hz', 'arias90_manual_diff_seconds_bandpass_0p5_20hz', 'arias90_n_snr_bandpass_0p5_20hz', 'arias90_manual_close_15s_bandpass_0p5_20hz', 'raw_tend_index', 'tend_index_measured', 'arias_bandpass_low_hz'}) and 1 missing columns ({'target_split'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DancingNow/swag-processed-data/stead/train/stead_100hz_60s_train_meta.csv (at revision 7af570f888cca9e5bc0fdec334a445289bbbd8b1), ['hf://datasets/DancingNow/swag-processed-data@7af570f888cca9e5bc0fdec334a445289bbbd8b1/iquique/train/stead_100hz_60s_train_meta.csv', 'hf://datasets/DancingNow/swag-processed-data@7af570f888cca9e5bc0fdec334a445289bbbd8b1/stead/train/stead_100hz_60s_train_meta.csv', 'hf://datasets/DancingNow/swag-processed-data@7af570f888cca9e5bc0fdec334a445289bbbd8b1/stead/train/stead_100hz_60s_train_meta_uniform10k.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
sample_id: string
dataset_name: string
chunk: string
trace_name: string
trace_category: string
station_code: int64
station_key: string
net: string
station: string
is_noise: int64
trace_start_time: string
p_index: int64
s_index: int64
s_decay: int64
s_decay_measured: int64
tend_index: int64
tend_index_measured: int64
coda_end_sample_stead: double
s_decay_stead: double
s_decay_diff: double
source_distance_km: double
source_magnitude: double
raw_p_index: int64
raw_s_index: int64
raw_tend_index: int64
shift_samples: int64
keep_original_positions: int64
s_decay_original: int64
s_decay_measured_original: int64
tend_index_original: int64
s_decay_arias90_bandpass_0p5_20hz: int64
s_decay_from_s_arias90_bandpass_0p5_20hz: int64
tend_index_arias90_bandpass_0p5_20hz: int64
arias90_component_bandpass_0p5_20hz: string
arias90_component_snr_bandpass_0p5_20hz: double
arias90_e_snr_bandpass_0p5_20hz: double
arias90_n_snr_bandpass_0p5_20hz: double
arias90_cutoff_arias_bandpass_0p5_20hz: double
arias90_cutoff_method_bandpass_0p5_20hz: string
arias_energy_percent: double
arias_envelope_window_seconds: double
arias_component_snr_window_seconds: double
arias_bandpass_low_hz: double
arias_bandpass_high_hz: double
arias90_manual_diff_seconds_bandpass_0p5_20hz: double
arias90_manual_absdiff_seconds_bandpass_0p5_20hz: double
arias90_manual_close_5s_bandpass_0p5_20hz: int64
arias90_manual_close_10s_bandpass_0p5_20hz: int64
arias90_manual_close_15s_bandpass_0p5_20hz: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7233
to
{'sample_id': Value('string'), 'p_index': Value('int64'), 's_index': Value('int64'), 'target_split': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 46 new columns ({'trace_category', 'arias_component_snr_window_seconds', 'arias_bandpass_high_hz', 'arias_energy_percent', 'net', 'source_distance_km', 'arias90_component_bandpass_0p5_20hz', 'raw_s_index', 'trace_name', 'arias90_cutoff_method_bandpass_0p5_20hz', 'shift_samples', 'arias90_manual_absdiff_seconds_bandpass_0p5_20hz', 's_decay_diff', 's_decay', 'arias90_component_snr_bandpass_0p5_20hz', 'station_key', 's_decay_original', 'station', 's_decay_measured_original', 'arias_envelope_window_seconds', 'coda_end_sample_stead', 'tend_index_arias90_bandpass_0p5_20hz', 'station_code', 'keep_original_positions', 'arias90_e_snr_bandpass_0p5_20hz', 'tend_index_original', 'arias90_manual_close_10s_bandpass_0p5_20hz', 's_decay_measured', 'dataset_name', 'is_noise', 'trace_start_time', 's_decay_stead', 'source_magnitude', 'tend_index', 'raw_p_index', 'arias90_manual_close_5s_bandpass_0p5_20hz', 's_decay_from_s_arias90_bandpass_0p5_20hz', 'chunk', 'arias90_cutoff_arias_bandpass_0p5_20hz', 's_decay_arias90_bandpass_0p5_20hz', 'arias90_manual_diff_seconds_bandpass_0p5_20hz', 'arias90_n_snr_bandpass_0p5_20hz', 'arias90_manual_close_15s_bandpass_0p5_20hz', 'raw_tend_index', 'tend_index_measured', 'arias_bandpass_low_hz'}) and 1 missing columns ({'target_split'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DancingNow/swag-processed-data/stead/train/stead_100hz_60s_train_meta.csv (at revision 7af570f888cca9e5bc0fdec334a445289bbbd8b1), ['hf://datasets/DancingNow/swag-processed-data@7af570f888cca9e5bc0fdec334a445289bbbd8b1/iquique/train/stead_100hz_60s_train_meta.csv', 'hf://datasets/DancingNow/swag-processed-data@7af570f888cca9e5bc0fdec334a445289bbbd8b1/stead/train/stead_100hz_60s_train_meta.csv', 'hf://datasets/DancingNow/swag-processed-data@7af570f888cca9e5bc0fdec334a445289bbbd8b1/stead/train/stead_100hz_60s_train_meta_uniform10k.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
sample_id string | p_index int64 | s_index int64 | target_split string |
|---|---|---|---|
bucket6$654,:3,:14361 | 780 | 1,140 | train |
bucket5$90,:3,:14362 | 766 | 1,127 | train |
bucket10$680,:3,:14427 | 914 | 1,340 | train |
bucket5$422,:3,:14447 | 641 | 1,087 | train |
bucket1$27,:3,:14451 | 747 | 1,197 | train |
bucket1$372,:3,:14452 | 664 | 1,115 | train |
bucket8$455,:3,:14453 | 870 | 1,322 | train |
bucket6$725,:3,:14454 | 563 | 1,016 | train |
bucket5$765,:3,:14462 | 845 | 1,306 | train |
bucket3$950,:3,:14470 | 503 | 972 | train |
bucket5$120,:3,:14489 | 534 | 1,022 | train |
bucket10$161,:3,:14500 | 947 | 1,446 | train |
bucket8$427,:3,:14501 | 821 | 1,322 | train |
bucket6$467,:3,:14505 | 656 | 1,160 | train |
bucket9$948,:3,:14507 | 568 | 1,074 | train |
bucket4$895,:3,:14513 | 988 | 1,500 | train |
bucket10$967,:3,:14516 | 607 | 1,122 | train |
bucket5$624,:3,:14517 | 741 | 1,258 | train |
bucket8$789,:3,:14520 | 549 | 1,068 | train |
bucket6$628,:3,:14520 | 508 | 1,028 | train |
bucket12$473,:3,:14523 | 786 | 1,309 | train |
bucket10$268,:3,:14531 | 925 | 1,455 | train |
bucket7$352,:3,:14533 | 524 | 1,056 | train |
bucket4$515,:3,:14536 | 584 | 1,119 | train |
bucket5$61,:3,:14541 | 611 | 1,151 | train |
bucket9$454,:3,:14547 | 560 | 1,106 | train |
bucket9$178,:3,:14552 | 560 | 1,111 | train |
bucket12$762,:3,:14554 | 667 | 1,220 | train |
bucket7$188,:3,:14556 | 987 | 1,542 | train |
bucket1$637,:3,:14556 | 537 | 1,092 | train |
bucket5$568,:3,:14557 | 821 | 1,377 | train |
bucket8$357,:3,:14559 | 515 | 1,073 | train |
bucket10$290,:3,:14572 | 827 | 1,398 | train |
bucket9$253,:3,:14573 | 622 | 1,194 | train |
bucket6$399,:3,:14575 | 869 | 1,443 | train |
bucket0$114,:3,:14575 | 936 | 1,510 | train |
bucket5$763,:3,:14578 | 833 | 1,410 | train |
bucket8$317,:3,:14578 | 973 | 1,550 | train |
bucket7$824,:3,:14580 | 865 | 1,444 | train |
bucket7$22,:3,:14581 | 549 | 1,129 | train |
bucket9$965,:3,:14582 | 908 | 1,489 | train |
bucket3$28,:3,:14583 | 530 | 1,112 | train |
bucket9$104,:3,:14584 | 931 | 1,514 | train |
bucket8$665,:3,:14585 | 879 | 1,463 | train |
bucket4$783,:3,:14585 | 604 | 1,188 | train |
bucket6$684,:3,:14585 | 838 | 1,422 | train |
bucket3$525,:3,:14586 | 627 | 1,212 | train |
bucket7$535,:3,:14587 | 752 | 1,338 | train |
bucket9$451,:3,:14587 | 656 | 1,242 | train |
bucket9$155,:3,:14587 | 708 | 1,294 | train |
bucket2$750,:3,:14588 | 772 | 1,359 | train |
bucket8$677,:3,:14589 | 727 | 1,315 | train |
bucket7$310,:3,:14589 | 608 | 1,196 | train |
bucket3$569,:3,:14589 | 559 | 1,148 | train |
bucket7$101,:3,:14589 | 567 | 1,156 | train |
bucket2$248,:3,:14591 | 523 | 1,113 | train |
bucket7$276,:3,:14591 | 940 | 1,530 | train |
bucket6$314,:3,:14592 | 749 | 1,341 | train |
bucket7$763,:3,:14592 | 983 | 1,575 | train |
bucket3$646,:3,:14594 | 814 | 1,407 | train |
bucket1$640,:3,:14595 | 903 | 1,497 | train |
bucket10$159,:3,:14597 | 722 | 1,318 | train |
bucket8$123,:3,:14597 | 920 | 1,516 | train |
bucket1$417,:3,:14597 | 874 | 1,470 | train |
bucket2$730,:3,:14598 | 530 | 1,127 | train |
bucket5$178,:3,:14598 | 971 | 1,568 | train |
bucket6$492,:3,:14600 | 995 | 1,594 | train |
bucket6$490,:3,:14601 | 906 | 1,506 | train |
bucket7$977,:3,:14601 | 595 | 1,195 | train |
bucket5$612,:3,:14602 | 648 | 1,249 | train |
bucket7$503,:3,:14603 | 650 | 1,252 | train |
bucket10$45,:3,:14605 | 766 | 1,370 | train |
bucket1$218,:3,:14607 | 901 | 1,507 | train |
bucket7$43,:3,:14608 | 783 | 1,390 | train |
bucket3$864,:3,:14611 | 701 | 1,311 | train |
bucket4$868,:3,:14612 | 764 | 1,375 | train |
bucket8$125,:3,:14613 | 749 | 1,361 | train |
bucket12$823,:3,:14614 | 732 | 1,345 | train |
bucket12$490,:3,:14614 | 937 | 1,550 | train |
bucket8$643,:3,:14615 | 918 | 1,532 | train |
bucket10$965,:3,:14616 | 725 | 1,340 | train |
bucket7$889,:3,:14616 | 817 | 1,432 | train |
bucket9$733,:3,:14617 | 599 | 1,215 | train |
bucket2$567,:3,:14617 | 995 | 1,611 | train |
bucket9$684,:3,:14617 | 539 | 1,156 | train |
bucket7$712,:3,:14618 | 646 | 1,263 | train |
bucket10$677,:3,:14617 | 745 | 1,362 | train |
bucket5$394,:3,:14617 | 783 | 1,400 | train |
bucket12$837,:3,:14619 | 531 | 1,149 | train |
bucket1$885,:3,:14620 | 844 | 1,464 | train |
bucket4$893,:3,:14622 | 708 | 1,329 | train |
bucket2$353,:3,:14623 | 966 | 1,588 | train |
bucket9$224,:3,:14623 | 996 | 1,619 | train |
bucket7$407,:3,:14624 | 534 | 1,157 | train |
bucket9$866,:3,:14626 | 755 | 1,380 | train |
bucket3$481,:3,:14626 | 645 | 1,270 | train |
bucket7$932,:3,:14628 | 626 | 1,253 | train |
bucket2$547,:3,:14630 | 837 | 1,466 | train |
bucket6$91,:3,:14630 | 951 | 1,580 | train |
bucket7$286,:3,:14632 | 626 | 1,257 | train |
End of preview.
SWaG processed waveform data
This dataset contains processed waveform files used by the SWaG diffusion training workflow. It does not contain the original raw STEAD or Iquique archives.
File format
- HDF5
data:float32, shape[N, 6000, 3], component order ENZ - HDF5
labels:float32, shape[N, 2],[P arrival sample, S arrival sample] - Sampling rate: 100 Hz, 60 seconds per window
- Each waveform is standardized per window to zero mean and unit standard deviation
- No bandpass filter is applied
The STEAD processed split contains valid local-earthquake records only; noise records are excluded. The Iquique split contains the P/S-labeled processed windows used for transfer-learning experiments. Metadata CSV files and dataset manifests are included beside the HDF5 files.
Please review the original STEAD and Iquique dataset licenses and citation requirements before making this repository public.
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