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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.