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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', 'end_seconds', 'file', 'start_sample', 'lufs', 'length_sample', 'submix_lufs', 'start_seconds', 'submix_lufs_target', 'segment_start_sample'}) and 4 missing columns ({'true_peak', 'naive_peak', 'Unnamed: 0', 'loudness_integrated'}).
This happened while the csv dataset builder was generating data using
hf://datasets/kwatcharasupat/dnr-v3-multilingual/manifest/train/000000/music.csv (at revision 24b089134ed926a364e4d165c47938cc76afbbd1)
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', 'end_seconds', 'file', 'start_sample', 'lufs', 'length_sample', 'submix_lufs', 'start_seconds', 'submix_lufs_target', 'segment_start_sample'}) and 4 missing columns ({'true_peak', 'naive_peak', 'Unnamed: 0', 'loudness_integrated'}).
This happened while the csv dataset builder was generating data using
hf://datasets/kwatcharasupat/dnr-v3-multilingual/manifest/train/000000/music.csv (at revision 24b089134ed926a364e4d165c47938cc76afbbd1)
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 | -29.186736 | -8.45515 | -8.460549 |
music | -33.327541 | -13.697628 | -13.697624 |
sfx_fg | -28.312942 | -5.961652 | -5.961458 |
sfx_bg | -39.297135 | -15.84556 | -16.98589 |
mixture | -27.85393 | -6.233567 | -6.243269 |
speech | -30.447003 | -10.113161 | -10.125227 |
music | -31.595222 | -11.669616 | -11.678262 |
sfx_fg | -41.957203 | -13.293633 | -13.675846 |
sfx_bg | -54.379535 | -26.531879 | -26.530043 |
mixture | -29.155385 | -9.034361 | -9.058241 |
speech | -27.644977 | -5.879146 | -5.894457 |
music | -40.671026 | -27.882914 | -28.011803 |
sfx_fg | -32.180745 | -1.995847 | -2.281703 |
sfx_bg | -50.414784 | -16.354826 | -16.424927 |
mixture | -27.177921 | -1.196805 | -1.27055 |
speech | -28.717367 | -6.637278 | -6.654431 |
music | -31.154546 | -7.375761 | -7.375724 |
sfx_fg | -26.148967 | -1.999494 | -1.999837 |
sfx_bg | -42.323057 | -17.055393 | -17.385809 |
mixture | -25.253494 | -1.283762 | -1.283842 |
speech | -27.902838 | -1.999915 | -2.000022 |
music | -35.193958 | -10.912859 | -11.011716 |
sfx_fg | -27.243794 | -2.000168 | -2.201989 |
sfx_bg | -43.88705 | -13.747988 | -14.027889 |
mixture | -25.955127 | -1.863237 | -1.867962 |
speech | -31.524764 | -12.505309 | -12.56284 |
music | -33.13207 | -14.678377 | -14.697761 |
sfx_fg | -29.535388 | -7.525394 | -7.943145 |
sfx_bg | -30.975043 | -1.991758 | -1.997396 |
mixture | -26.37335 | -1.882225 | -1.892392 |
speech | -26.234093 | -6.813345 | -6.813552 |
music | -34.331228 | -15.068837 | -15.074885 |
sfx_fg | -29.259361 | -6.87667 | -6.876072 |
sfx_bg | -55.304995 | -25.794023 | -25.794992 |
mixture | -26.133106 | -6.356785 | -6.363895 |
speech | -29.725334 | -7.215158 | -7.21509 |
music | -31.835797 | -13.427425 | -13.427428 |
sfx_fg | -25.478646 | -4.470773 | -4.455282 |
sfx_bg | -39.511491 | -13.556647 | -14.084624 |
mixture | -25.427042 | -4.177274 | -4.418453 |
speech | -35.303963 | -16.195624 | -16.196689 |
music | -27.906844 | -5.07293 | -5.234161 |
sfx_fg | -35.320736 | -5.577539 | -5.576297 |
sfx_bg | -48.805638 | -14.218588 | -14.588849 |
mixture | -27.533035 | -5.010683 | -5.142563 |
speech | -26.726787 | -3.563836 | -3.563834 |
music | -37.3723 | -16.348122 | -16.350596 |
sfx_fg | -30.660825 | -1.957403 | -1.999894 |
sfx_bg | -49.240338 | -27.678863 | -27.682047 |
mixture | -26.550918 | -1.851512 | -1.853655 |
speech | -27.335837 | -7.225778 | -7.225784 |
music | -49.386899 | -28.764792 | -28.76626 |
sfx_fg | -41.598042 | -11.892583 | -11.843948 |
sfx_bg | -52.7599 | -22.456833 | -23.723808 |
mixture | -27.323181 | -6.823292 | -6.831064 |
speech | -28.700211 | -4.544124 | -4.55724 |
music | -43.873145 | -24.18396 | -24.183604 |
sfx_fg | -37.810088 | -4.317278 | -4.315087 |
sfx_bg | -26.982853 | -1.820414 | -1.970287 |
mixture | -25.907603 | -0.99562 | -0.998613 |
speech | -29.58656 | -7.746008 | -7.766508 |
music | -30.492795 | -12.85442 | -12.854291 |
sfx_fg | -30.755471 | -1.984647 | -2.928019 |
sfx_bg | -55.576901 | -28.381946 | -28.416939 |
mixture | -27.507154 | -1.293635 | -2.229288 |
speech | -26.285014 | -6.788518 | -6.789388 |
music | -31.203032 | -13.63868 | -13.653881 |
sfx_fg | -48.262369 | -24.105023 | -24.168045 |
sfx_bg | -39.269182 | -5.475255 | -6.355174 |
mixture | -25.963702 | -5.578486 | -6.416194 |
speech | -32.393111 | -14.198388 | -14.198181 |
music | -25.459345 | -2.205492 | -3.376509 |
sfx_fg | -29.766899 | -1.991464 | -2.033277 |
sfx_bg | -50.282998 | -24.409087 | -24.415118 |
mixture | -25.816741 | -0.128465 | -0.16819 |
speech | -26.224637 | -3.052759 | -3.050357 |
music | -42.918078 | -20.344257 | -20.34427 |
sfx_fg | -35.698122 | -2.000719 | -3.777208 |
sfx_bg | -39.410251 | -4.970712 | -5.009452 |
mixture | -26.318204 | -1.967664 | -2.992545 |
speech | -27.079692 | -4.466604 | -4.482577 |
music | -35.119528 | -21.306422 | -21.308012 |
sfx_fg | -36.218723 | -3.863516 | -4.378129 |
sfx_bg | -29.447424 | -3.410328 | -3.41143 |
mixture | -26.116177 | -2.067508 | -2.126305 |
speech | -36.054294 | -15.8688 | -15.877791 |
music | -33.325245 | -11.428377 | -11.432888 |
sfx_fg | -26.916639 | -1.989032 | -2.002893 |
sfx_bg | -55.737971 | -24.058956 | -24.505119 |
mixture | -26.632498 | -2.077494 | -2.087279 |
speech | -31.750454 | -9.702057 | -9.75477 |
music | -24.755138 | -4.663887 | -4.908748 |
sfx_fg | -36.90069 | -3.244327 | -3.88075 |
sfx_bg | -38.791653 | -5.370348 | -5.491845 |
mixture | -27.070503 | -3.244327 | -3.88075 |
speech | -27.351262 | -6.669601 | -6.735067 |
music | -36.963042 | -16.748477 | -16.749125 |
sfx_fg | -31.777384 | -6.402858 | -6.770467 |
sfx_bg | -35.902892 | -1.892628 | -2.125002 |
mixture | -26.91087 | -1.600419 | -1.822464 |
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