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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
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V0001
BD22_179
4.63
3.96
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V0001
BD22_179
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3.72
0.000002
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V0001
BD22_179
4.32
3.65
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0.000069
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P07858
V0001
BD22_179
4.25
3.58
0.000001
0.000167
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V0001
BD22_179
3.74
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V0001
BD22_179
3.66
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V0001
BD22_179
3.66
2.99
0.000044
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O75503
V0001
BD22_179
3.43
2.76
0.000001
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V0001
BD22_179
3.39
2.72
0
0.000142
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P54802
V0001
BD22_179
3.37
2.7
0.000002
0.000239
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V0001
BD22_179
3.35
2.68
0.000001
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V0001
BD22_179
3.31
2.64
0.000001
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V0001
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0.000001
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V0001
BD22_179
3.29
2.62
0.000001
0.000142
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V0001
BD22_179
3.22
2.55
0.000001
0.000188
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V0001
BD22_179
3.2
2.53
0.000001
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V0001
BD22_179
3.2
2.53
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0.000142
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V0001
BD22_179
3.19
2.52
0
0.000118
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P55899
V0001
BD22_179
3.14
2.47
0.000003
0.000336
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5
20
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O14773
V0001
BD22_179
3.14
2.47
0.000021
0.000938
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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
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5
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35
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P13473
V0001
BD22_179
2.89
2.22
0.000037
0.001476
3
3
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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
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33
Q8NHP8
V0001
BD22_179
2.79
2.12
0.000006
0.000456
10
10
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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
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V0001
BD22_179
2.75
2.08
0.000016
0.000794
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6
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V0001
BD22_179
2.71
2.04
0.000002
0.000226
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12
37
35
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V0001
BD22_179
2.71
2.04
0.000099
0.002947
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5
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V0001
BD22_179
2.71
2.04
0.00001
0.000578
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V0001
BD22_179
2.69
2.02
0.000042
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V0001
BD22_179
2.68
2.01
0.000018
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35
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V0001
BD22_179
2.64
1.97
0.000003
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9
24
35
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V0001
BD22_179
2.6
1.93
0.000002
0.000226
11
11
17
35
45
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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
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V0001
BD22_179
2.54
1.87
0.000013
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V0001
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2.49
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V0001
BD22_179
2.48
1.81
0.000037
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6
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V0001
BD22_179
2.47
1.8
0.000008
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14
14
37
35
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V0001
BD22_179
2.47
1.8
0.000005
0.000431
3
3
7
7
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V0001
BD22_179
2.47
1.8
0.000003
0.000336
12
12
19
35
51
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V0001
BD22_179
2.45
1.78
0.000054
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7
8
35
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V0001
BD22_179
2.45
1.78
0.000058
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2
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V0001
BD22_179
2.43
1.76
0.000001
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2
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V0001
BD22_179
2.4
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BD22_179
2.4
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V0001
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2.36
1.69
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2.36
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35
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V0001
BD22_179
2.35
1.68
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5
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V0001
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2.34
1.67
0.024057
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V0001
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2.32
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V0001
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2.26
1.59
0.000008
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6
6
9
35
65
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V0001
BD22_179
2.25
1.58
0.000005
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14
14
21
35
66
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V0001
BD22_179
2.24
1.57
0.000025
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2
6
14
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V0001
BD22_179
2.23
1.56
0.000004
0.000395
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8
17
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68
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V0001
BD22_179
2.23
1.56
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3
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V0001
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2.23
1.56
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7
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V0001
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2.2
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V0001
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2.2
1.53
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4
5
14
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V0001
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2.17
1.5
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5
12
35
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V0001
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2.17
1.5
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2
2
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28
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V0001
BD22_179
2.17
1.5
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6
6
13
35
73
O94813
V0001
BD22_179
2.16
1.49
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15
15
9
28
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V0001
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2.15
1.48
0.000009
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12
12
29
35
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V0001
BD22_179
2.14
1.47
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2
7
28
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V0001
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2.13
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2.12
1.45
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3
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80
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V0001
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2.12
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0.000013
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6
6
13
35
80
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V0001
BD22_179
2.09
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4
7
7
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V0001
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2.09
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9
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V0001
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2.09
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2
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V0001
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2.06
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35
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V0001
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2.05
1.38
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31
35
86
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V0001
BD22_179
2.05
1.38
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2
12
35
86
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V0001
BD22_179
2.05
1.38
0.000018
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4
15
28
86
P10321
V0001
BD22_179
2.05
1.38
0.000007
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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
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