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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 |
End of preview.
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