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.