The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 4 new columns ({'time', 'barometer.relativeAltitude', 'barometer.seconds_elapsed', 'barometer.pressure'}) and 5 missing columns ({'accelerometer.z', 'accelerometer.x', 'accelerometer.seconds_elapsed', 'accelerometer.y', 'accelerometer.time'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nominal-io/car_drives/405 highway/Barometer.csv (at revision 15dcf00f6a0e32941f6595328ec42f3bf8e4f7d2)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
time: int64
barometer.seconds_elapsed: double
barometer.relativeAltitude: double
barometer.pressure: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 808
to
{'accelerometer.time': Value(dtype='int64', id=None), 'accelerometer.seconds_elapsed': Value(dtype='float64', id=None), 'accelerometer.z': Value(dtype='float64', id=None), 'accelerometer.y': Value(dtype='float64', id=None), 'accelerometer.x': Value(dtype='float64', id=None)}
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 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 4 new columns ({'time', 'barometer.relativeAltitude', 'barometer.seconds_elapsed', 'barometer.pressure'}) and 5 missing columns ({'accelerometer.z', 'accelerometer.x', 'accelerometer.seconds_elapsed', 'accelerometer.y', 'accelerometer.time'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nominal-io/car_drives/405 highway/Barometer.csv (at revision 15dcf00f6a0e32941f6595328ec42f3bf8e4f7d2)
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.
accelerometer.time
int64 | accelerometer.seconds_elapsed
float64 | accelerometer.z
float64 | accelerometer.y
float64 | accelerometer.x
float64 |
|---|---|---|---|---|
1,732,998,716,921,232,000 | 0.092232 | 0 | 0 | 0 |
1,732,998,716,925,953,800 | 0.096954 | -0.070427 | -0.001844 | -0.024765 |
1,732,998,716,930,676,000 | 0.101676 | 0.024471 | 0.007 | 0.02111 |
1,732,998,716,935,397,600 | 0.106398 | 0.214504 | 0.02795 | -0.017212 |
1,732,998,716,940,119,800 | 0.11112 | 0.158981 | 0.033567 | -0.069162 |
1,732,998,716,944,841,500 | 0.115842 | 0.124148 | 0.027372 | -0.082465 |
1,732,998,716,949,563,400 | 0.120563 | 0.210487 | 0.035734 | -0.012673 |
1,732,998,716,954,285,300 | 0.125285 | 0.229554 | 0.018662 | 0.03293 |
1,732,998,716,959,007,000 | 0.130007 | -0.085633 | -0.019405 | 0.102155 |
1,732,998,716,963,729,000 | 0.134729 | -0.279555 | -0.063553 | 0.173831 |
1,732,998,716,968,450,800 | 0.139451 | -0.31862 | -0.049885 | 0.203806 |
1,732,998,716,973,196,000 | 0.144196 | -0.327275 | -0.044358 | 0.137573 |
1,732,998,716,978,012,200 | 0.149012 | -0.202086 | -0.003819 | 0.082935 |
1,732,998,716,982,828,300 | 0.153828 | -0.502739 | -0.104717 | -0.035617 |
1,732,998,716,987,644,700 | 0.158645 | -0.632311 | -0.045845 | -0.019153 |
1,732,998,716,992,460,800 | 0.163461 | -0.625499 | -0.067162 | -0.042512 |
1,732,998,716,997,277,200 | 0.168277 | -0.643058 | -0.038913 | -0.057373 |
1,732,998,717,002,093,300 | 0.173093 | -0.622815 | -0.061517 | -0.114013 |
1,732,998,717,006,909,400 | 0.177909 | -0.554536 | 0.024729 | -0.100062 |
1,732,998,717,011,725,800 | 0.182726 | -0.401573 | 0.022937 | -0.067255 |
1,732,998,717,016,542,000 | 0.187542 | -0.159279 | -0.038906 | -0.086935 |
1,732,998,717,021,358,000 | 0.192358 | 0.00177 | -0.001629 | -0.012281 |
1,732,998,717,026,174,500 | 0.197175 | 0.115368 | 0.024768 | 0.103169 |
1,732,998,717,030,990,600 | 0.20199 | 0.238915 | 0.016629 | 0.160125 |
1,732,998,717,035,737,600 | 0.206738 | 0.343862 | 0.046111 | 0.176619 |
1,732,998,717,040,459,300 | 0.211459 | 0.35036 | -0.016405 | 0.071422 |
1,732,998,717,045,181,200 | 0.216181 | 0.273574 | 0.004548 | 0.044563 |
1,732,998,717,049,903,000 | 0.220903 | 0.171995 | 0.048557 | 0.034893 |
1,732,998,717,054,625,000 | 0.225625 | 0.104045 | 0.02746 | -0.056973 |
1,732,998,717,059,346,700 | 0.230347 | 0.004462 | -0.00744 | -0.131965 |
1,732,998,717,064,068,600 | 0.235069 | -0.059811 | -0.028689 | -0.196569 |
1,732,998,717,068,790,500 | 0.239791 | -0.121138 | 0.001915 | -0.247777 |
1,732,998,717,073,512,400 | 0.244512 | -0.092787 | 0.037089 | -0.153244 |
1,732,998,717,078,234,400 | 0.249234 | -0.099133 | -0.021622 | -0.088346 |
1,732,998,717,082,956,000 | 0.253956 | -0.043951 | -0.060397 | 0.022846 |
1,732,998,717,087,678,000 | 0.258678 | 0.012456 | -0.069714 | 0.13797 |
1,732,998,717,092,399,900 | 0.2634 | -0.055455 | -0.035405 | 0.215749 |
1,732,998,717,097,121,800 | 0.268122 | 0.147415 | -0.023585 | 0.261906 |
1,732,998,717,101,843,500 | 0.272844 | 0.160424 | -0.046564 | 0.341451 |
1,732,998,717,106,565,400 | 0.277565 | 0.077532 | -0.067195 | 0.294998 |
1,732,998,717,111,287,300 | 0.282287 | 0.071455 | 0.00057 | 0.180998 |
1,732,998,717,116,009,200 | 0.287009 | -0.002126 | 0.035495 | 0.02369 |
1,732,998,717,120,731,000 | 0.291731 | -0.052046 | 0.062843 | -0.123507 |
1,732,998,717,125,452,800 | 0.296453 | -0.123135 | 0.036884 | -0.239924 |
1,732,998,717,130,174,700 | 0.301175 | -0.136992 | 0.067961 | -0.308811 |
1,732,998,717,134,896,600 | 0.305897 | -0.120219 | 0.033491 | -0.29557 |
1,732,998,717,139,618,300 | 0.310618 | -0.03212 | 0.041782 | -0.218919 |
1,732,998,717,144,340,200 | 0.31534 | 0.064837 | 0.008081 | -0.124627 |
1,732,998,717,149,062,100 | 0.320062 | 0.14294 | -0.041542 | -0.001248 |
1,732,998,717,153,784,000 | 0.324784 | 0.139412 | -0.027985 | 0.093875 |
1,732,998,717,158,506,000 | 0.329506 | 0.110681 | -0.051043 | 0.118549 |
1,732,998,717,163,227,600 | 0.334228 | 0.134262 | -0.031374 | 0.174455 |
1,732,998,717,167,949,600 | 0.338949 | 0.107374 | -0.033065 | 0.208817 |
1,732,998,717,172,671,500 | 0.343671 | -0.021395 | -0.045042 | 0.171566 |
1,732,998,717,177,393,400 | 0.348393 | -0.055403 | -0.036425 | 0.09037 |
1,732,998,717,182,115,300 | 0.353115 | 0.024912 | 0.02626 | 0.001215 |
1,732,998,717,186,837,000 | 0.357837 | -0.080006 | 0.041218 | -0.058773 |
1,732,998,717,191,559,000 | 0.362559 | -0.119077 | 0.002786 | -0.095433 |
1,732,998,717,196,280,800 | 0.367281 | -0.10789 | -0.003041 | -0.107995 |
1,732,998,717,201,002,500 | 0.372002 | -0.122058 | 0.005007 | -0.090985 |
1,732,998,717,205,724,400 | 0.376724 | -0.099866 | -0.006399 | -0.062525 |
1,732,998,717,210,446,300 | 0.381446 | -0.1005 | 0.011144 | -0.001586 |
1,732,998,717,215,168,300 | 0.386168 | -0.07305 | -0.018613 | 0.055462 |
1,732,998,717,219,890,200 | 0.39089 | -0.122034 | -0.031084 | 0.051593 |
1,732,998,717,224,612,000 | 0.395612 | 0.017747 | -0.003409 | -0.002288 |
1,732,998,717,229,333,800 | 0.400334 | 0.188661 | -0.015719 | -0.012361 |
1,732,998,717,234,055,700 | 0.405056 | 0.134414 | -0.007909 | 0.060245 |
1,732,998,717,238,777,600 | 0.409778 | -0.012261 | 0.003918 | 0.084074 |
1,732,998,717,243,499,300 | 0.414499 | 0.006941 | 0.015163 | 0.022704 |
1,732,998,717,248,221,200 | 0.419221 | 0.038707 | 0.002527 | -0.086114 |
1,732,998,717,252,943,000 | 0.423943 | 0.037634 | 0.026952 | -0.162722 |
1,732,998,717,257,665,000 | 0.428665 | 0.032913 | 0.026487 | -0.138585 |
1,732,998,717,262,387,000 | 0.433387 | 0.100468 | -0.002906 | -0.038684 |
1,732,998,717,267,108,900 | 0.438109 | 0.108234 | 0.000961 | 0.035671 |
1,732,998,717,271,830,500 | 0.442831 | 0.107153 | -0.008869 | 0.01874 |
1,732,998,717,276,552,400 | 0.447552 | 0.087326 | -0.011504 | 0.036279 |
1,732,998,717,281,274,400 | 0.452274 | 0.043753 | 0.001325 | 0.0046 |
1,732,998,717,285,996,000 | 0.456996 | -0.01731 | -0.003629 | -0.008354 |
1,732,998,717,290,718,000 | 0.461718 | -0.041623 | 0.016425 | -0.031187 |
1,732,998,717,295,440,000 | 0.46644 | -0.043289 | -0.002011 | -0.054924 |
1,732,998,717,300,161,800 | 0.471162 | 0.027355 | -0.013694 | -0.068321 |
1,732,998,717,304,883,700 | 0.475884 | 0.0097 | 0.007362 | -0.045519 |
1,732,998,717,309,605,600 | 0.480606 | 0.027845 | -0.005697 | 0.041428 |
1,732,998,717,314,327,300 | 0.485327 | 0.029685 | -0.017191 | 0.05227 |
1,732,998,717,319,049,200 | 0.490049 | 0.046597 | -0.012288 | 0.109681 |
1,732,998,717,323,771,100 | 0.494771 | 0.096446 | -0.020108 | 0.151039 |
1,732,998,717,328,492,800 | 0.499493 | 0.137414 | -0.024952 | 0.057118 |
1,732,998,717,333,214,700 | 0.504215 | 0.001793 | -0.020173 | -0.024487 |
1,732,998,717,337,936,600 | 0.508937 | -0.066252 | 0.003454 | 0.008969 |
1,732,998,717,342,658,600 | 0.513658 | -0.061785 | 0.002504 | 0.034937 |
1,732,998,717,347,380,500 | 0.51838 | -0.036334 | -0.004312 | 0.00145 |
1,732,998,717,352,102,100 | 0.523102 | -0.094121 | 0.010419 | -0.057714 |
1,732,998,717,356,824,000 | 0.527824 | -0.106717 | 0.020475 | -0.058243 |
1,732,998,717,361,546,000 | 0.532546 | -0.094122 | 0.000899 | -0.055212 |
1,732,998,717,366,268,000 | 0.537268 | -0.069038 | -0.013709 | -0.007224 |
1,732,998,717,370,989,600 | 0.54199 | -0.023738 | 0.001406 | 0.04916 |
1,732,998,717,375,711,500 | 0.546711 | 0.038097 | -0.000927 | 0.058809 |
1,732,998,717,380,433,400 | 0.551433 | 0.066306 | -0.008744 | 0.070742 |
1,732,998,717,385,155,300 | 0.556155 | 0.088435 | -0.014941 | 0.074866 |
1,732,998,717,389,877,200 | 0.560877 | 0.107464 | 0.001879 | 0.095544 |
End of preview.