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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 1 new columns ({'fid,smiles'}) and 12 missing columns ({'Number_of_Peptides', 'Abundance_Ratio_log2', 'Abundance_Ratio_Adj_PValue', 'Number_of_Protein_Unique_Peptides', 'exp_id', 'Abundance_Ratio_log2_median_corr', 'Coverage_in_Percent', 'Accession', 'Rank_relative', 'Abundance_Ratio_PValue', 'FragID', 'Frequency_detected'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ligdis/data/experimental/validation_fid2smi.tsv (at revision f514764ba8acbbca43bbe811dc8d7aed53ce0f4b)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
fid,smiles: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 380
to
{'Accession': Value(dtype='string', id=None), 'FragID': Value(dtype='string', id=None), 'exp_id': Value(dtype='string', id=None), 'Abundance_Ratio_log2': Value(dtype='float64', id=None), 'Abundance_Ratio_log2_median_corr': Value(dtype='float64', id=None), 'Abundance_Ratio_PValue': Value(dtype='float64', id=None), 'Abundance_Ratio_Adj_PValue': Value(dtype='float64', id=None), 'Number_of_Protein_Unique_Peptides': Value(dtype='int64', id=None), 'Number_of_Peptides': Value(dtype='int64', id=None), 'Coverage_in_Percent': Value(dtype='int64', id=None), 'Frequency_detected': Value(dtype='int64', id=None), 'Rank_relative': Value(dtype='int64', 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 1438, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 1 new columns ({'fid,smiles'}) and 12 missing columns ({'Number_of_Peptides', 'Abundance_Ratio_log2', 'Abundance_Ratio_Adj_PValue', 'Number_of_Protein_Unique_Peptides', 'exp_id', 'Abundance_Ratio_log2_median_corr', 'Coverage_in_Percent', 'Accession', 'Rank_relative', 'Abundance_Ratio_PValue', 'FragID', 'Frequency_detected'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ligdis/data/experimental/validation_fid2smi.tsv (at revision f514764ba8acbbca43bbe811dc8d7aed53ce0f4b)
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.
Accession string | FragID string | exp_id string | Abundance_Ratio_log2 float64 | Abundance_Ratio_log2_median_corr float64 | Abundance_Ratio_PValue float64 | Abundance_Ratio_Adj_PValue float64 | Number_of_Protein_Unique_Peptides int64 | Number_of_Peptides int64 | Coverage_in_Percent int64 | Frequency_detected int64 | Rank_relative int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Q15392 | V0001 | BD22_179 | 4.63 | 3.96 | 0 | 0 | 8 | 8 | 13 | 28 | 1 |
Q9H773 | V0001 | BD22_179 | 4.39 | 3.72 | 0.000002 | 0.000226 | 10 | 10 | 61 | 35 | 2 |
Q9HB40 | V0001 | BD22_179 | 4.32 | 3.65 | 0 | 0.000069 | 16 | 16 | 31 | 35 | 3 |
P07858 | V0001 | BD22_179 | 4.25 | 3.58 | 0.000001 | 0.000167 | 4 | 4 | 17 | 14 | 4 |
Q9UMR5 | V0001 | BD22_179 | 3.74 | 3.07 | 0 | 0.000118 | 4 | 4 | 25 | 28 | 5 |
Q9UIQ6 | V0001 | BD22_179 | 3.66 | 2.99 | 0.000001 | 0.000165 | 28 | 29 | 29 | 35 | 6 |
Q9H813 | V0001 | BD22_179 | 3.66 | 2.99 | 0.000044 | 0.00164 | 4 | 4 | 17 | 7 | 6 |
O75503 | V0001 | BD22_179 | 3.43 | 2.76 | 0.000001 | 0.000165 | 8 | 8 | 18 | 35 | 8 |
Q14108 | V0001 | BD22_179 | 3.39 | 2.72 | 0 | 0.000142 | 13 | 13 | 24 | 35 | 9 |
P54802 | V0001 | BD22_179 | 3.37 | 2.7 | 0.000002 | 0.000239 | 18 | 19 | 37 | 35 | 10 |
Q6UXD5 | V0001 | BD22_179 | 3.35 | 2.68 | 0.000001 | 0.000226 | 4 | 4 | 5 | 14 | 11 |
P06280 | V0001 | BD22_179 | 3.31 | 2.64 | 0.000001 | 0.000167 | 13 | 13 | 31 | 35 | 12 |
Q9UBG0 | V0001 | BD22_179 | 3.29 | 2.62 | 0.000001 | 0.000156 | 8 | 9 | 6 | 35 | 13 |
O00115 | V0001 | BD22_179 | 3.29 | 2.62 | 0.000001 | 0.000142 | 3 | 3 | 7 | 21 | 13 |
P50897 | V0001 | BD22_179 | 3.22 | 2.55 | 0.000001 | 0.000188 | 9 | 9 | 29 | 35 | 15 |
P42892 | V0001 | BD22_179 | 3.2 | 2.53 | 0.000001 | 0.000223 | 22 | 22 | 28 | 35 | 16 |
P07602 | V0001 | BD22_179 | 3.2 | 2.53 | 0 | 0.000142 | 5 | 5 | 6 | 35 | 16 |
P06865 | V0001 | BD22_179 | 3.19 | 2.52 | 0 | 0.000118 | 17 | 17 | 26 | 35 | 18 |
P55899 | V0001 | BD22_179 | 3.14 | 2.47 | 0.000003 | 0.000336 | 5 | 5 | 20 | 14 | 19 |
O14773 | V0001 | BD22_179 | 3.14 | 2.47 | 0.000021 | 0.000938 | 7 | 7 | 20 | 34 | 19 |
Q9C0H2 | V0001 | BD22_179 | 3.05 | 2.38 | 0.000011 | 0.000578 | 3 | 3 | 7 | 35 | 21 |
Q08431 | V0001 | BD22_179 | 3.02 | 2.35 | 0.000002 | 0.000226 | 2 | 2 | 5 | 7 | 22 |
Q01459 | V0001 | BD22_179 | 3.01 | 2.34 | 0.000005 | 0.000428 | 3 | 3 | 10 | 7 | 23 |
P98164 | V0001 | BD22_179 | 2.99 | 2.32 | 0.000062 | 0.001999 | 4 | 4 | 1 | 14 | 24 |
P05067 | V0001 | BD22_179 | 2.99 | 2.32 | 0 | 0.000076 | 12 | 12 | 13 | 28 | 24 |
Q9BQT9 | V0001 | BD22_179 | 2.98 | 2.31 | 0.000027 | 0.001157 | 3 | 3 | 4 | 7 | 26 |
O00584 | V0001 | BD22_179 | 2.93 | 2.26 | 0.000002 | 0.000239 | 5 | 5 | 21 | 35 | 27 |
P13473 | V0001 | BD22_179 | 2.89 | 2.22 | 0.000037 | 0.001476 | 3 | 3 | 7 | 21 | 28 |
P15260 | V0001 | BD22_179 | 2.87 | 2.2 | 0.007509 | 0.035109 | 3 | 3 | 7 | 7 | 29 |
P42785 | V0001 | BD22_179 | 2.82 | 2.15 | 0.000001 | 0.000165 | 10 | 10 | 23 | 35 | 30 |
O43772 | V0001 | BD22_179 | 2.82 | 2.15 | 0.00001 | 0.000578 | 13 | 13 | 33 | 35 | 30 |
P10253 | V0001 | BD22_179 | 2.8 | 2.13 | 0.000006 | 0.000456 | 13 | 13 | 15 | 35 | 32 |
Q99523 | V0001 | BD22_179 | 2.79 | 2.12 | 0.00001 | 0.000578 | 8 | 9 | 9 | 35 | 33 |
Q8NHP8 | V0001 | BD22_179 | 2.79 | 2.12 | 0.000006 | 0.000456 | 10 | 10 | 16 | 35 | 33 |
Q92859 | V0001 | BD22_179 | 2.78 | 2.11 | 0.000004 | 0.000402 | 5 | 5 | 4 | 21 | 35 |
Q99538 | V0001 | BD22_179 | 2.77 | 2.1 | 0.000045 | 0.001655 | 6 | 6 | 15 | 21 | 36 |
Q8IXU6 | V0001 | BD22_179 | 2.75 | 2.08 | 0.000004 | 0.000402 | 4 | 4 | 15 | 35 | 37 |
P01130 | V0001 | BD22_179 | 2.75 | 2.08 | 0.000016 | 0.000794 | 5 | 6 | 8 | 21 | 37 |
Q92820 | V0001 | BD22_179 | 2.71 | 2.04 | 0.000002 | 0.000226 | 12 | 12 | 37 | 35 | 39 |
P33527 | V0001 | BD22_179 | 2.71 | 2.04 | 0.000099 | 0.002947 | 5 | 5 | 5 | 21 | 39 |
P11717 | V0001 | BD22_179 | 2.71 | 2.04 | 0.00001 | 0.000578 | 31 | 31 | 12 | 35 | 39 |
P15586 | V0001 | BD22_179 | 2.69 | 2.02 | 0.000042 | 0.001625 | 7 | 7 | 13 | 35 | 42 |
P04439 | V0001 | BD22_179 | 2.68 | 2.01 | 0.000018 | 0.000815 | 3 | 4 | 12 | 35 | 43 |
Q8IV08 | V0001 | BD22_179 | 2.64 | 1.97 | 0.000003 | 0.000365 | 9 | 9 | 24 | 35 | 44 |
Q08380 | V0001 | BD22_179 | 2.6 | 1.93 | 0.000002 | 0.000226 | 11 | 11 | 17 | 35 | 45 |
Q16850 | V0001 | BD22_179 | 2.59 | 1.92 | 0.000001 | 0.000142 | 15 | 15 | 33 | 35 | 46 |
P02786 | V0001 | BD22_179 | 2.56 | 1.89 | 0.000007 | 0.000496 | 39 | 40 | 53 | 35 | 47 |
O75976 | V0001 | BD22_179 | 2.54 | 1.87 | 0.000013 | 0.0007 | 28 | 28 | 22 | 35 | 48 |
P02794 | V0001 | BD22_179 | 2.49 | 1.82 | 0 | 0.000064 | 3 | 3 | 17 | 7 | 49 |
Q06481 | V0001 | BD22_179 | 2.48 | 1.81 | 0.000037 | 0.001476 | 6 | 6 | 10 | 28 | 50 |
Q9H3G5 | V0001 | BD22_179 | 2.47 | 1.8 | 0.000008 | 0.00051 | 14 | 14 | 37 | 35 | 51 |
Q99519 | V0001 | BD22_179 | 2.47 | 1.8 | 0.000005 | 0.000431 | 3 | 3 | 7 | 7 | 51 |
P16278 | V0001 | BD22_179 | 2.47 | 1.8 | 0.000003 | 0.000336 | 12 | 12 | 19 | 35 | 51 |
Q8IZA0 | V0001 | BD22_179 | 2.45 | 1.78 | 0.000054 | 0.001844 | 7 | 7 | 8 | 35 | 54 |
Q07954 | V0001 | BD22_179 | 2.45 | 1.78 | 0.000058 | 0.00195 | 8 | 8 | 2 | 21 | 54 |
P04114 | V0001 | BD22_179 | 2.43 | 1.76 | 0.000001 | 0.000157 | 2 | 2 | 0 | 7 | 56 |
Q9Y4Z0 | V0001 | BD22_179 | 2.4 | 1.73 | 0.218917 | 0.262169 | 3 | 3 | 17 | 14 | 57 |
Q96FV9 | V0001 | BD22_179 | 2.4 | 1.73 | 0.000003 | 0.000373 | 13 | 13 | 26 | 35 | 57 |
O00592 | V0001 | BD22_179 | 2.37 | 1.7 | 0.000015 | 0.000745 | 2 | 2 | 4 | 7 | 59 |
P04066 | V0001 | BD22_179 | 2.36 | 1.69 | 0.000006 | 0.000456 | 9 | 9 | 25 | 35 | 60 |
O43505 | V0001 | BD22_179 | 2.36 | 1.69 | 0.000062 | 0.001999 | 8 | 8 | 31 | 35 | 60 |
P11117 | V0001 | BD22_179 | 2.35 | 1.68 | 0.000038 | 0.001477 | 5 | 5 | 13 | 35 | 62 |
Q9Y624 | V0001 | BD22_179 | 2.34 | 1.67 | 0.024057 | 0.05144 | 2 | 2 | 11 | 35 | 63 |
O43657 | V0001 | BD22_179 | 2.32 | 1.65 | 0.00005 | 0.001769 | 3 | 3 | 13 | 28 | 64 |
Q5KU26 | V0001 | BD22_179 | 2.26 | 1.59 | 0.000008 | 0.00053 | 6 | 6 | 9 | 35 | 65 |
P07686 | V0001 | BD22_179 | 2.25 | 1.58 | 0.000005 | 0.000428 | 14 | 14 | 21 | 35 | 66 |
O75071 | V0001 | BD22_179 | 2.24 | 1.57 | 0.000025 | 0.001098 | 2 | 2 | 6 | 14 | 67 |
Q8WTV0 | V0001 | BD22_179 | 2.23 | 1.56 | 0.000004 | 0.000395 | 8 | 8 | 17 | 35 | 68 |
P02792 | V0001 | BD22_179 | 2.23 | 1.56 | 0.000033 | 0.001361 | 3 | 3 | 22 | 7 | 68 |
O15118 | V0001 | BD22_179 | 2.23 | 1.56 | 0.000051 | 0.001776 | 7 | 7 | 6 | 35 | 68 |
Q567V2 | V0001 | BD22_179 | 2.2 | 1.53 | 0.110473 | 0.147745 | 3 | 3 | 10 | 28 | 71 |
P98155 | V0001 | BD22_179 | 2.2 | 1.53 | 0.000051 | 0.001769 | 4 | 4 | 5 | 14 | 71 |
Q9UBM7 | V0001 | BD22_179 | 2.17 | 1.5 | 0.000003 | 0.000353 | 5 | 5 | 12 | 35 | 73 |
Q9NQX7 | V0001 | BD22_179 | 2.17 | 1.5 | 0.000687 | 0.0114 | 2 | 2 | 12 | 28 | 73 |
P11279 | V0001 | BD22_179 | 2.17 | 1.5 | 0.00001 | 0.000578 | 6 | 6 | 13 | 35 | 73 |
O94813 | V0001 | BD22_179 | 2.16 | 1.49 | 0.000007 | 0.000496 | 15 | 15 | 9 | 28 | 76 |
Q9UQB8 | V0001 | BD22_179 | 2.15 | 1.48 | 0.000009 | 0.000538 | 12 | 12 | 29 | 35 | 77 |
Q9NPF0 | V0001 | BD22_179 | 2.14 | 1.47 | 0.00001 | 0.000578 | 2 | 2 | 7 | 28 | 78 |
Q8TCT8 | V0001 | BD22_179 | 2.13 | 1.46 | 0.000059 | 0.001968 | 3 | 3 | 4 | 21 | 79 |
Q9UM22 | V0001 | BD22_179 | 2.12 | 1.45 | 0.000347 | 0.006823 | 3 | 3 | 13 | 28 | 80 |
P10619 | V0001 | BD22_179 | 2.12 | 1.45 | 0.000013 | 0.0007 | 6 | 6 | 13 | 35 | 80 |
Q9BYF1 | V0001 | BD22_179 | 2.09 | 1.42 | 0.000023 | 0.001002 | 4 | 4 | 7 | 7 | 82 |
Q13510 | V0001 | BD22_179 | 2.09 | 1.42 | 0.000062 | 0.001999 | 9 | 9 | 27 | 35 | 82 |
O94898 | V0001 | BD22_179 | 2.09 | 1.42 | 0.012785 | 0.039671 | 2 | 2 | 2 | 7 | 82 |
O60888 | V0001 | BD22_179 | 2.06 | 1.39 | 0.000057 | 0.001931 | 4 | 4 | 41 | 35 | 85 |
Q99536 | V0001 | BD22_179 | 2.05 | 1.38 | 0.000148 | 0.003863 | 9 | 9 | 31 | 35 | 86 |
Q86UY6 | V0001 | BD22_179 | 2.05 | 1.38 | 0.000062 | 0.001999 | 2 | 2 | 12 | 35 | 86 |
P27105 | V0001 | BD22_179 | 2.05 | 1.38 | 0.000018 | 0.000815 | 4 | 4 | 15 | 28 | 86 |
P10321 | V0001 | BD22_179 | 2.05 | 1.38 | 0.000007 | 0.000456 | 3 | 5 | 18 | 35 | 86 |
Q15904 | V0001 | BD22_179 | 2.01 | 1.34 | 0.000005 | 0.000428 | 9 | 9 | 20 | 28 | 90 |
P54289 | V0001 | BD22_179 | 2.01 | 1.34 | 0.000533 | 0.009235 | 2 | 2 | 3 | 7 | 90 |
O00754 | V0001 | BD22_179 | 2.01 | 1.34 | 0.000237 | 0.005191 | 8 | 8 | 11 | 28 | 90 |
O00461 | V0001 | BD22_179 | 2.01 | 1.34 | 0.000602 | 0.010201 | 4 | 4 | 7 | 35 | 90 |
Q92542 | V0001 | BD22_179 | 2 | 1.33 | 0.000283 | 0.005942 | 8 | 8 | 14 | 28 | 94 |
P61916 | V0001 | BD22_179 | 1.98 | 1.31 | 0.000049 | 0.001769 | 4 | 4 | 13 | 28 | 95 |
O43852 | V0001 | BD22_179 | 1.98 | 1.31 | 0.000038 | 0.001477 | 8 | 8 | 29 | 35 | 95 |
Q9NUM4 | V0001 | BD22_179 | 1.97 | 1.3 | 0.000188 | 0.00445 | 2 | 2 | 10 | 28 | 97 |
P53634 | V0001 | BD22_179 | 1.97 | 1.3 | 0.000395 | 0.007556 | 5 | 5 | 8 | 35 | 97 |
Q9UQ84 | V0001 | BD22_179 | 1.94 | 1.27 | 0.000019 | 0.000848 | 14 | 14 | 19 | 35 | 99 |
O95619 | V0001 | BD22_179 | 1.93 | 1.26 | 0.000565 | 0.00971 | 2 | 2 | 11 | 21 | 100 |
End of preview.