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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 5 new columns ({'target_id', 'sequence', 'all_sequences', 'temporal_cutoff', 'description'}) and 6 missing columns ({'ID', 'resname', 'z_1', 'resid', 'x_1', 'y_1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Romsco/stanford-rna-3d-csv/data/train_sequences.csv (at revision 36cdd2dbb97ad6a5c9c2805fb3a1b4f0a9319047)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
target_id: string
sequence: string
temporal_cutoff: string
description: string
all_sequences: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 873
to
{'ID': Value('string'), 'resname': Value('string'), 'resid': Value('int64'), 'x_1': Value('float64'), 'y_1': Value('float64'), 'z_1': 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 5 new columns ({'target_id', 'sequence', 'all_sequences', 'temporal_cutoff', 'description'}) and 6 missing columns ({'ID', 'resname', 'z_1', 'resid', 'x_1', 'y_1'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Romsco/stanford-rna-3d-csv/data/train_sequences.csv (at revision 36cdd2dbb97ad6a5c9c2805fb3a1b4f0a9319047)
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.
ID
string | resname
string | resid
int64 | x_1
float64 | y_1
float64 | z_1
float64 |
|---|---|---|---|---|---|
1SCL_A_1
|
G
| 1
| 13.76
| -25.974001
| 0.102
|
1SCL_A_2
|
G
| 2
| 9.31
| -29.638
| 2.669
|
1SCL_A_3
|
G
| 3
| 5.529
| -27.813
| 5.878
|
1SCL_A_4
|
U
| 4
| 2.678
| -24.900999
| 9.793
|
1SCL_A_5
|
G
| 5
| 1.827
| -20.136
| 11.793
|
1SCL_A_6
|
C
| 6
| 2.04
| -14.908
| 11.771
|
1SCL_A_7
|
U
| 7
| 1.107
| -11.513
| 7.517
|
1SCL_A_8
|
C
| 8
| 2.991
| -6.406
| 4.783
|
1SCL_A_9
|
A
| 9
| 0.896
| -1.193
| 7.608
|
1SCL_A_10
|
G
| 10
| 0.228
| 2.646
| 9.128
|
1SCL_A_11
|
U
| 11
| 4.329
| 2.718
| 4.804
|
1SCL_A_12
|
A
| 12
| 5.165
| 4.792
| -0.914
|
1SCL_A_13
|
C
| 13
| 2.61
| 9.495
| -2.308
|
1SCL_A_14
|
G
| 14
| 1.174
| 13.829
| 0.201
|
1SCL_A_15
|
A
| 15
| 1.58
| 20.115
| 3.76
|
1SCL_A_16
|
G
| 16
| -1.575
| 16.927999
| 5.897
|
1SCL_A_17
|
A
| 17
| -6.051
| 14.762
| 5.224
|
1SCL_A_18
|
G
| 18
| -5.554
| 10.415
| 4.309
|
1SCL_A_19
|
G
| 19
| -3.107
| 6.405
| 2.12
|
1SCL_A_20
|
A
| 20
| -1.41
| 3.335
| -2.655
|
1SCL_A_21
|
A
| 21
| 1.866
| -0.716
| -4.333
|
1SCL_A_22
|
C
| 22
| 3.655
| -4.444
| -2.485
|
1SCL_A_23
|
C
| 23
| 5.314
| -7.656
| 1.13
|
1SCL_A_24
|
G
| 24
| 7.931
| -9.528
| 5.781
|
1SCL_A_25
|
C
| 25
| 8.735
| -12.648
| 10.025
|
1SCL_A_26
|
A
| 26
| 9.108
| -17.296
| 13.021
|
1SCL_A_27
|
C
| 27
| 8.897
| -22.606001
| 14.308
|
1SCL_A_28
|
C
| 28
| 9.673
| -28.337999
| 13.292
|
1SCL_A_29
|
C
| 29
| 12.641
| -30.907
| 9.645
|
1RNK_A_1
|
G
| 1
| 4.265
| 1.955
| -10.867
|
1RNK_A_2
|
G
| 2
| -0.615
| 2.231
| -9.279
|
1RNK_A_3
|
C
| 3
| -5.801
| 0.016
| -8.4
|
1RNK_A_4
|
G
| 4
| -8.509
| -3.911
| -6.874
|
1RNK_A_5
|
C
| 5
| -10.377
| -8.09
| -4.346
|
1RNK_A_6
|
A
| 6
| -15.162
| -4.993
| 0.934
|
1RNK_A_7
|
G
| 7
| -17.688
| -2.066
| 0.189
|
1RNK_A_8
|
U
| 8
| -22.232
| -0.097
| 7.623
|
1RNK_A_9
|
G
| 9
| -18.481001
| -2.227
| 10.938
|
1RNK_A_10
|
G
| 10
| -16.235001
| -6.064
| 13.248
|
1RNK_A_11
|
G
| 11
| -14.427
| -11.679
| 13.865
|
1RNK_A_12
|
C
| 12
| -10.846
| -15.425
| 10.122
|
1RNK_A_13
|
U
| 13
| -6.977
| -14.387
| 6.314
|
1RNK_A_14
|
A
| 14
| -2.922
| -14.634
| 2.723
|
1RNK_A_15
|
G
| 15
| -2.283
| -14.41
| -2.013
|
1RNK_A_16
|
C
| 16
| -2.98
| -12.844
| -6.459
|
1RNK_A_17
|
G
| 17
| -5.116
| -10.355
| -10.563
|
1RNK_A_18
|
C
| 18
| -5.839
| -5.988
| -13.463
|
1RNK_A_19
|
C
| 19
| -5.071
| -1.414
| -15.1
|
1RNK_A_20
|
A
| 20
| -2.399
| 2.572
| -15.294
|
1RNK_A_21
|
C
| 21
| 2.058
| 4.933
| -17.006001
|
1RNK_A_22
|
U
| 22
| -0.575
| 6.199
| -23.01
|
1RNK_A_23
|
C
| 23
| -6.727
| 3.27
| -23.722
|
1RNK_A_24
|
A
| 24
| -11.221
| -0.344
| -20.344
|
1RNK_A_25
|
A
| 25
| -11.961
| -4.195
| -16.445
|
1RNK_A_26
|
A
| 26
| -13.546
| -8.008
| -13.155
|
1RNK_A_27
|
A
| 27
| -12.833
| -11.398
| -8.751
|
1RNK_A_28
|
G
| 28
| -14.365
| -13.643
| -0.493
|
1RNK_A_29
|
G
| 29
| -17.694
| -16.153
| 2.351
|
1RNK_A_30
|
C
| 30
| -19.518
| -17.073
| 6.721
|
1RNK_A_31
|
C
| 31
| -20.440001
| -15.46
| 11.459
|
1RNK_A_32
|
C
| 32
| -20.917
| -11.453
| 15.465
|
1RNK_A_33
|
A
| 33
| -22.506001
| -6.78
| 15.86
|
1RNK_A_34
|
U
| 34
| -24.646999
| -2.544
| 13.864
|
1RHT_A_1
|
G
| 1
| 9.364
| -5.643
| 8.156
|
1RHT_A_2
|
G
| 2
| 5.104
| -8.669
| 7.94
|
1RHT_A_3
|
G
| 3
| 1.728
| -9.677
| 5.786
|
1RHT_A_4
|
A
| 4
| -2.29
| -7.309
| 3.744
|
1RHT_A_5
|
C
| 5
| -6.768
| -5.326
| 2.586
|
1RHT_A_6
|
U
| 6
| -9.646
| -3.268
| -1.491
|
1RHT_A_7
|
G
| 7
| -6.811
| -0.761
| -5.058
|
1RHT_A_8
|
A
| 8
| -8.3
| 3.608
| -8.658
|
1RHT_A_9
|
C
| 9
| -5.132
| 6.531
| -11.249
|
1RHT_A_10
|
G
| 10
| -0.539
| 8.943
| -12.033
|
1RHT_A_11
|
A
| 11
| 4.473
| 9.658
| -13.715
|
1RHT_A_12
|
U
| 12
| 7.374
| 6.024
| -14.504
|
1RHT_A_13
|
C
| 13
| 10.109
| 5.174
| -11.924
|
1RHT_A_14
|
A
| 14
| 9.779
| 3.896
| -7.29
|
1RHT_A_15
|
C
| 15
| 6.998
| 6.826
| -6.853
|
1RHT_A_16
|
G
| 16
| 2.942
| 8.476
| -4.451
|
1RHT_A_17
|
C
| 17
| -2.238
| 8.799
| -3.463
|
1RHT_A_18
|
A
| 18
| -6.732
| 6.785
| -1.615
|
1RHT_A_19
|
G
| 19
| -8.564
| 4.464
| 2.365
|
1RHT_A_20
|
U
| 20
| -7.288
| 0.466
| 5.316
|
1RHT_A_21
|
C
| 21
| -4.032
| -1.692
| 8.494
|
1RHT_A_22
|
U
| 22
| -1.834
| -4.442
| 12.517
|
1RHT_A_23
|
A
| 23
| 2.31
| -6.799
| 13.282
|
1RHT_A_24
|
U
| 24
| 7.48
| -5.097
| 13.2
|
1HLX_A_1
|
G
| 1
| -10.127
| -6.587
| -7.376
|
1HLX_A_2
|
G
| 2
| -9.419
| -6.704
| -1.318
|
1HLX_A_3
|
G
| 3
| -6.191
| -6.382
| 3.539
|
1HLX_A_4
|
A
| 4
| -1.379
| -5.931
| 5.581
|
1HLX_A_5
|
U
| 5
| 3.264
| -3.672
| 5.623
|
1HLX_A_6
|
A
| 6
| 7.134
| -0.203
| 3.682
|
1HLX_A_7
|
A
| 7
| 8.018
| 3.771
| 0.683
|
1HLX_A_8
|
C
| 8
| 6.341
| 7.476
| -2.086
|
1HLX_A_9
|
U
| 9
| 2.738
| 12.123
| -2.381
|
1HLX_A_10
|
U
| 10
| 1.078
| 17.15
| -5.763
|
1HLX_A_11
|
C
| 11
| -1.636
| 15
| 0.141
|
1HLX_A_12
|
G
| 12
| -5.508
| 14.255
| -4.483
|
1HLX_A_13
|
G
| 13
| -3.214
| 9.644
| -3.941
|
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