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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 2 new columns ({'tsne1', 'tsne2'}) and 4 missing columns ({'energy', 'chipy', 'time', 'chipx'}).
This happened while the csv dataset builder was generating data using
hf://datasets/StevenDillmann/chandra_xray_eventfiles/paper2DAE_embedding.csv (at revision 46c65421ce00b04b825d550bd4f83166f6a430f8)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
tsne1: double
tsne2: double
obsreg_id: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 603
to
{'time': Value('float64'), 'energy': Value('float64'), 'chipx': Value('int64'), 'chipy': Value('int64'), 'obsreg_id': 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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 2 new columns ({'tsne1', 'tsne2'}) and 4 missing columns ({'energy', 'chipy', 'time', 'chipx'}).
This happened while the csv dataset builder was generating data using
hf://datasets/StevenDillmann/chandra_xray_eventfiles/paper2DAE_embedding.csv (at revision 46c65421ce00b04b825d550bd4f83166f6a430f8)
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.
time
float64 | energy
float64 | chipx
int64 | chipy
int64 | obsreg_id
string |
|---|---|---|---|---|
358,969,322.582691
| 2,657.1743
| 58
| 319
|
10037_123
|
358,969,325.823711
| 2,838.462
| 83
| 245
|
10037_123
|
358,969,581.864394
| 1,315.2795
| 85
| 309
|
10037_123
|
358,969,620.756656
| 3,513.6938
| 46
| 330
|
10037_123
|
358,969,695.30015
| 849.62274
| 68
| 275
|
10037_123
|
358,969,705.02321
| 2,980.8972
| 98
| 315
|
10037_123
|
358,970,158.766233
| 2,743.4312
| 62
| 290
|
10037_123
|
358,970,246.273837
| 789.4461
| 27
| 300
|
10037_123
|
358,970,281.925069
| 3,732.998
| 49
| 266
|
10037_123
|
358,970,346.745512
| 1,537.3562
| 90
| 265
|
10037_123
|
358,970,631.955447
| 4,352.218
| 84
| 286
|
10037_123
|
358,970,930.129501
| 2,750.3708
| 83
| 283
|
10037_123
|
358,971,137.554942
| 1,951.6953
| 86
| 303
|
10037_123
|
358,971,147.278002
| 2,605.3528
| 74
| 267
|
10037_123
|
358,971,241.267657
| 2,268.7085
| 118
| 271
|
10037_123
|
358,971,263.954818
| 2,040.1244
| 66
| 282
|
10037_123
|
358,971,351.462432
| 2,650.282
| 80
| 249
|
10037_123
|
358,971,432.488006
| 4,713.095
| 18
| 294
|
10037_123
|
358,971,581.575054
| 2,271.5303
| 61
| 297
|
10037_123
|
358,971,704.73392
| 4,157.5615
| 80
| 269
|
10037_123
|
358,971,827.892806
| 1,034.1401
| 116
| 288
|
10037_123
|
358,971,866.785078
| 4,867.942
| 104
| 273
|
10037_123
|
358,971,947.810662
| 3,113.4902
| 101
| 340
|
10037_123
|
358,972,245.984807
| 1,488.4845
| 58
| 265
|
10037_123
|
358,972,498.78464
| 1,287.9386
| 73
| 268
|
10037_123
|
358,972,544.158972
| 4,704.8477
| 40
| 296
|
10037_123
|
358,972,748.343462
| 2,898.407
| 59
| 296
|
10037_123
|
358,972,852.056237
| 3,085.0403
| 66
| 301
|
10037_123
|
358,973,218.291945
| 1,343.009
| 74
| 264
|
10037_123
|
358,973,778.989153
| 2,873.3884
| 57
| 315
|
10037_123
|
358,973,921.59425
| 1,773.3499
| 88
| 271
|
10037_123
|
358,974,469.327448
| 3,446.5056
| 48
| 316
|
10037_123
|
358,974,598.968454
| 1,996.7407
| 117
| 322
|
10037_123
|
358,975,143.460721
| 1,389.3558
| 64
| 305
|
10037_123
|
358,975,256.896607
| 3,182.6829
| 79
| 282
|
10037_123
|
358,975,474.045338
| 6,668.7725
| 66
| 290
|
10037_123
|
358,976,161.142842
| 4,759.0757
| 93
| 279
|
10037_123
|
358,976,378.291613
| 4,082.7166
| 87
| 321
|
10037_123
|
358,976,430.148025
| 1,209.5059
| 31
| 295
|
10037_123
|
358,976,864.445587
| 1,770.9484
| 130
| 308
|
10037_123
|
358,976,909.819959
| 3,911.087
| 83
| 274
|
10037_123
|
358,977,120.4867
| 3,845.818
| 59
| 296
|
10037_123
|
358,977,143.173881
| 4,079.6492
| 46
| 290
|
10037_123
|
358,977,211.235454
| 1,674.3905
| 60
| 284
|
10037_123
|
358,977,389.491933
| 1,878.3094
| 35
| 273
|
10037_123
|
358,977,425.143235
| 1,792.8641
| 101
| 279
|
10037_123
|
358,977,434.866315
| 1,789.0769
| 54
| 258
|
10037_123
|
358,977,814.066484
| 2,158.9353
| 35
| 311
|
10037_123
|
358,978,128.44614
| 3,103.902
| 58
| 294
|
10037_123
|
358,978,296.979578
| 1,660.9297
| 79
| 297
|
10037_123
|
358,978,410.415534
| 2,379.8245
| 81
| 304
|
10037_123
|
358,978,974.354362
| 2,190.1555
| 75
| 287
|
10037_123
|
358,979,019.728754
| 1,070.8002
| 104
| 264
|
10037_123
|
358,979,291.975108
| 1,175.5425
| 40
| 248
|
10037_123
|
358,979,551.257371
| 1,082.6655
| 101
| 262
|
10037_123
|
358,979,671.175417
| 2,261.6377
| 79
| 261
|
10037_123
|
358,979,784.611412
| 2,508.669
| 76
| 315
|
10037_123
|
358,980,231.873345
| 6,480.829
| 94
| 322
|
10037_123
|
358,980,283.729797
| 1,116.7858
| 60
| 272
|
10037_123
|
358,980,342.06832
| 1,972.0251
| 118
| 317
|
10037_123
|
358,980,549.49416
| 1,809.1371
| 77
| 286
|
10037_123
|
358,980,640.242955
| 1,688.3147
| 34
| 331
|
10037_123
|
358,980,841.186755
| 1,307.3091
| 40
| 300
|
10037_123
|
358,981,375.956562
| 2,117.7578
| 17
| 260
|
10037_123
|
358,981,431.054044
| 4,046.8333
| 79
| 282
|
10037_123
|
358,981,534.76699
| 6,705.996
| 70
| 345
|
10037_123
|
358,981,713.023608
| 1,494.133
| 76
| 317
|
10037_123
|
358,981,829.700664
| 1,823.891
| 90
| 290
|
10037_123
|
358,982,053.331705
| 1,116.8911
| 51
| 328
|
10037_123
|
358,982,542.72719
| 2,526.018
| 99
| 325
|
10037_123
|
358,982,555.69131
| 3,429.274
| 93
| 280
|
10037_123
|
358,983,041.845805
| 1,927.8865
| 90
| 289
|
10037_123
|
358,983,349.74367
| 4,328.418
| 78
| 251
|
10037_123
|
358,983,586.338872
| 4,371.715
| 89
| 285
|
10037_123
|
358,983,920.164998
| 1,857.7113
| 89
| 279
|
10037_123
|
358,984,134.073019
| 3,191.7673
| 40
| 249
|
10037_123
|
358,984,762.83298
| 864.61755
| 87
| 313
|
10037_123
|
358,984,895.715247
| 1,860.7443
| 21
| 275
|
10037_123
|
358,985,125.828438
| 1,424.1812
| 59
| 238
|
10037_123
|
358,985,154.99772
| 5,461.8413
| 33
| 285
|
10037_123
|
358,985,184.167001
| 1,765.8945
| 98
| 253
|
10037_123
|
358,985,226.300403
| 2,527.1445
| 65
| 247
|
10037_123
|
358,985,278.156906
| 2,598.7168
| 87
| 278
|
10037_123
|
358,985,456.413615
| 5,225.085
| 60
| 302
|
10037_123
|
358,985,599.018982
| 1,605.3486
| 70
| 326
|
10037_123
|
358,985,637.911364
| 818.1269
| 40
| 337
|
10037_123
|
358,985,845.337364
| 4,199.6387
| 91
| 304
|
10037_123
|
358,986,198.609782
| 3,519.3655
| 42
| 266
|
10037_123
|
358,986,201.850812
| 2,791.754
| 52
| 288
|
10037_123
|
358,986,305.563827
| 2,532.1653
| 85
| 289
|
10037_123
|
358,986,308.804857
| 1,532.8865
| 56
| 274
|
10037_123
|
358,986,509.748807
| 4,288.983
| 40
| 315
|
10037_123
|
358,987,025.072853
| 2,670.2322
| 26
| 324
|
10037_123
|
358,987,287.596436
| 3,144.2485
| 46
| 303
|
10037_123
|
358,988,289.075346
| 1,439.7961
| 112
| 267
|
10037_123
|
358,988,363.61909
| 4,234.206
| 101
| 308
|
10037_123
|
358,988,370.10116
| 6,575.7476
| 47
| 322
|
10037_123
|
358,988,571.04516
| 1,949.5416
| 27
| 295
|
10037_123
|
358,988,629.383743
| 2,433.9324
| 69
| 295
|
10037_123
|
358,988,655.312004
| 1,571.6672
| 53
| 305
|
10037_123
|
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