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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 10 new columns ({'length_seconds', 'lufs', 'length_sample', 'segment_start_sample', 'file', 'end_seconds', 'submix_lufs_target', 'start_sample', 'submix_lufs', 'start_seconds'}) and 4 missing columns ({'Unnamed: 0', 'loudness_integrated', 'naive_peak', 'true_peak'}).
This happened while the csv dataset builder was generating data using
hf://datasets/kwatcharasupat/dnr-v3-eng/manifest/train/000000/music.csv (at revision 626f569ba416d2264b0718a85a0fabd4dd53ee60)
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
file: string
start_sample: int64
length_sample: int64
segment_start_sample: int64
start_seconds: double
length_seconds: double
end_seconds: double
lufs: double
submix_lufs: double
submix_lufs_target: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1496
to
{'Unnamed: 0': Value('string'), 'loudness_integrated': Value('float64'), 'true_peak': Value('float64'), 'naive_peak': Value('float64')}
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 1450, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
builder._prepare_split(
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 10 new columns ({'length_seconds', 'lufs', 'length_sample', 'segment_start_sample', 'file', 'end_seconds', 'submix_lufs_target', 'start_sample', 'submix_lufs', 'start_seconds'}) and 4 missing columns ({'Unnamed: 0', 'loudness_integrated', 'naive_peak', 'true_peak'}).
This happened while the csv dataset builder was generating data using
hf://datasets/kwatcharasupat/dnr-v3-eng/manifest/train/000000/music.csv (at revision 626f569ba416d2264b0718a85a0fabd4dd53ee60)
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.
Unnamed: 0
string | loudness_integrated
float64 | true_peak
float64 | naive_peak
float64 |
|---|---|---|---|
speech
| -29.050717
| -6.475318
| -6.540789
|
music
| -33.557041
| -13.926652
| -13.926831
|
sfx_fg
| -28.537051
| -6.2118
| -6.211688
|
sfx_bg
| -39.541724
| -16.094262
| -17.233203
|
mixture
| -27.487476
| -5.124753
| -5.128644
|
speech
| -30.205222
| -7.122502
| -7.145254
|
music
| -31.407397
| -11.479523
| -11.487972
|
sfx_fg
| -41.792826
| -13.133187
| -13.515678
|
sfx_bg
| -54.176187
| -26.328923
| -26.327405
|
mixture
| -28.8777
| -7.124745
| -7.146669
|
speech
| -26.838321
| -1.999914
| -2.02083
|
music
| -40.537787
| -27.752485
| -27.881466
|
sfx_fg
| -32.034516
| -1.995843
| -2.281463
|
sfx_bg
| -50.277213
| -16.214886
| -16.284713
|
mixture
| -26.361925
| -0.706743
| -0.722641
|
speech
| -28.685291
| -3.616582
| -3.649703
|
music
| -30.991858
| -7.21524
| -7.215248
|
sfx_fg
| -25.954142
| -1.999478
| -1.999858
|
sfx_bg
| -42.139289
| -16.863822
| -17.19343
|
mixture
| -25.316337
| -1.188868
| -1.197713
|
speech
| -27.784621
| -3.482126
| -3.482158
|
music
| -35.141685
| -10.858641
| -10.95716
|
sfx_fg
| -27.189817
| -2.000143
| -2.201879
|
sfx_bg
| -43.838499
| -13.680425
| -13.959916
|
mixture
| -25.819206
| -1.981584
| -2.196882
|
speech
| -31.406778
| -7.635647
| -7.646459
|
music
| -32.885221
| -14.428448
| -14.447136
|
sfx_fg
| -29.296051
| -7.286225
| -7.703732
|
sfx_bg
| -30.805481
| -1.991682
| -1.99737
|
mixture
| -26.417293
| -1.838142
| -1.844972
|
speech
| -25.910475
| -1.998186
| -1.999915
|
music
| -34.802285
| -15.539252
| -15.54562
|
sfx_fg
| -29.714384
| -7.332586
| -7.332067
|
sfx_bg
| -55.734719
| -26.314397
| -26.315632
|
mixture
| -25.733149
| -0.823636
| -0.826754
|
speech
| -29.455073
| -5.639946
| -5.658363
|
music
| -31.617986
| -13.231021
| -13.231168
|
sfx_fg
| -25.252966
| -4.240754
| -4.225233
|
sfx_bg
| -39.294411
| -13.339109
| -13.867315
|
mixture
| -25.112116
| -4.166268
| -4.165208
|
speech
| -35.62023
| -12.759547
| -12.813767
|
music
| -27.943509
| -5.104336
| -5.26789
|
sfx_fg
| -35.360456
| -5.616158
| -5.614999
|
sfx_bg
| -48.855543
| -14.268321
| -14.638271
|
mixture
| -27.501481
| -5.036727
| -5.076692
|
speech
| -26.744485
| -2.693857
| -2.697419
|
music
| -37.45912
| -16.437928
| -16.440272
|
sfx_fg
| -30.872348
| -1.957611
| -1.999909
|
sfx_bg
| -49.427645
| -27.859999
| -27.863207
|
mixture
| -26.294371
| -1.52299
| -1.524418
|
speech
| -27.403675
| -1.995169
| -2.426879
|
music
| -49.297606
| -28.674078
| -28.6769
|
sfx_fg
| -41.496856
| -11.795586
| -11.74685
|
sfx_bg
| -52.745151
| -22.442901
| -23.709061
|
mixture
| -27.400164
| -2.03881
| -2.420795
|
speech
| -28.729029
| -8.128926
| -8.138136
|
music
| -43.884993
| -24.220153
| -24.220333
|
sfx_fg
| -37.85305
| -4.357135
| -4.354938
|
sfx_bg
| -27.022399
| -1.824899
| -1.968013
|
mixture
| -25.950258
| -1.781459
| -1.926529
|
speech
| -29.020845
| -6.672419
| -7.063281
|
music
| -30.319897
| -12.683827
| -12.683696
|
sfx_fg
| -30.581231
| -1.984603
| -2.927835
|
sfx_bg
| -55.404629
| -28.205923
| -28.242707
|
mixture
| -27.341337
| -1.245762
| -2.202758
|
speech
| -25.940892
| -4.609709
| -4.632095
|
music
| -30.84898
| -13.288989
| -13.304281
|
sfx_fg
| -47.948656
| -23.813499
| -23.8763
|
sfx_bg
| -38.974803
| -5.176212
| -6.056174
|
mixture
| -25.851216
| -4.258336
| -4.370671
|
speech
| -30.447615
| -6.091983
| -6.112829
|
music
| -25.822519
| -2.605913
| -3.776952
|
sfx_fg
| -30.10947
| -1.981181
| -2.017017
|
sfx_bg
| -50.639161
| -24.815241
| -24.820798
|
mixture
| -25.475525
| -0.234628
| -0.278259
|
speech
| -27.028858
| -4.721971
| -4.728917
|
music
| -42.818359
| -20.243982
| -20.243941
|
sfx_fg
| -35.60186
| -2.000974
| -3.779028
|
sfx_bg
| -39.310117
| -4.870495
| -4.909257
|
mixture
| -27.047146
| -1.932786
| -3.706562
|
speech
| -27.697119
| -6.470503
| -6.473836
|
music
| -36.032353
| -22.187603
| -22.187959
|
sfx_fg
| -37.097945
| -4.743653
| -5.258213
|
sfx_bg
| -30.308145
| -4.287428
| -4.288661
|
mixture
| -26.269695
| -3.584388
| -3.631718
|
speech
| -35.581926
| -9.572572
| -9.610227
|
music
| -33.542443
| -11.646078
| -11.650863
|
sfx_fg
| -27.121742
| -1.998476
| -1.999423
|
sfx_bg
| -55.941382
| -24.265974
| -24.709205
|
mixture
| -26.69619
| -2.004168
| -2.002832
|
speech
| -31.263172
| -8.7029
| -8.713465
|
music
| -24.555392
| -4.464115
| -4.709059
|
sfx_fg
| -36.731024
| -3.094257
| -3.846549
|
sfx_bg
| -38.591692
| -5.170355
| -5.291681
|
mixture
| -26.670345
| -2.48731
| -3.20284
|
speech
| -25.605219
| -3.075039
| -3.08846
|
music
| -35.162474
| -14.947343
| -14.948346
|
sfx_fg
| -29.954507
| -4.566909
| -4.934446
|
sfx_bg
| -34.12806
| -1.877629
| -2.133663
|
mixture
| -25.875742
| -1.035652
| -1.266496
|
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