The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 9 new columns ({'sigma', 'fitness', 'aa_seq', 'growthrate', 'WT', 'growthrate_sigma', 'Nham_aa', 'full_aa_seq', 'name'}) and 2 missing columns ({'label', 'mutation'}).

This happened while the csv dataset builder was generating data using

hf://datasets/xulab-research/TidyMut/ArchStabMS1E10/ArchStabMS_1E10.csv (at revision c5d2de032b40b5420bbfbb987215b4a66dd62479), ['hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/AntitoxinParD3/Antitoxin_ParD3.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ArchStabMS1E10/ArchStabMS_1E10.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/CTXM/CTXM_ampicillin.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/CTXM/CTXM_cefotaxime.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/HumanMyoglobin/Human_Myoglobin.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ProteinGym_DMS_substitutions/DMS_ProteinGym_substitutions.zip', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_Omicron-EG5-FLip-BA286_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_Omicron-XBB-BQ_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_Omicron_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_variants_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_Delta_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_AZ_Abs_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_HAARVI_sera_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_Moderna_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_Rockefeller_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_Vir_mAbs_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_clinical_Abs_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/TrpB/TrpB.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/cDNA_proteolysis/Tsuboyama2023_Dataset2_Dataset3_20230416.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/dTm_datasets/S4346.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/dTm_datasets/S571.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/M1261.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S461.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S669.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S783.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S8754.csv']

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 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
              aa_seq: string
              Nham_aa: int64
              WT: double
              fitness: double
              sigma: double
              growthrate: double
              growthrate_sigma: double
              name: string
              full_aa_seq: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1301
              to
              {'mutation': Value('string'), 'label': 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 1342, 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 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 9 new columns ({'sigma', 'fitness', 'aa_seq', 'growthrate', 'WT', 'growthrate_sigma', 'Nham_aa', 'full_aa_seq', 'name'}) and 2 missing columns ({'label', 'mutation'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/xulab-research/TidyMut/ArchStabMS1E10/ArchStabMS_1E10.csv (at revision c5d2de032b40b5420bbfbb987215b4a66dd62479), ['hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/AntitoxinParD3/Antitoxin_ParD3.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ArchStabMS1E10/ArchStabMS_1E10.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/CTXM/CTXM_ampicillin.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/CTXM/CTXM_cefotaxime.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/HumanMyoglobin/Human_Myoglobin.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ProteinGym_DMS_substitutions/DMS_ProteinGym_substitutions.zip', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_Omicron-EG5-FLip-BA286_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_Omicron-XBB-BQ_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_Omicron_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_DMS_variants_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_ACE2/SARS-CoV-2-RBD_Delta_bc_binding.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_AZ_Abs_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_HAARVI_sera_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_Moderna_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_Rockefeller_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_Vir_mAbs_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/RBD_Antibody/SARS-CoV-2-RBD_MAP_clinical_Abs_scores.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/TrpB/TrpB.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/cDNA_proteolysis/Tsuboyama2023_Dataset2_Dataset3_20230416.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/dTm_datasets/S4346.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/dTm_datasets/S571.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/M1261.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S461.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S669.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S783.csv', 'hf://datasets/xulab-research/TidyMut@c5d2de032b40b5420bbfbb987215b4a66dd62479/ddG_datasets/S8754.csv']
              
              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.

mutation
string
label
float64
D60A:K63A:E79A
0.658741
D60A:K63A:E79C
0.532164
D60A:K63A:E79D
0.458571
D60A:K63A:E79E
0.850977
D60A:K63A:E79F
0.609473
D60A:K63A:E79G
0.139403
D60A:K63A:E79H
0.585224
D60A:K63A:E79I
0.785455
D60A:K63A:E79K
0.471562
D60A:K63A:E79L
0.774324
D60A:K63A:E79M
0.661621
D60A:K63A:E79N
0.294832
D60A:K63A:E79P
0.01566
D60A:K63A:E79Q
0.723669
D60A:K63A:E79R
0.364286
D60A:K63A:E79S
0.459328
D60A:K63A:E79T
0.620953
D60A:K63A:E79V
0.730902
D60A:K63A:E79W
0.368839
D60A:K63A:E79Y
0.631109
D60A:K63A:E79_
-0.032518
D60A:K63C:E79A
0.444522
D60A:K63C:E79C
0.327151
D60A:K63C:E79D
0.289447
D60A:K63C:E79E
0.732824
D60A:K63C:E79F
0.386886
D60A:K63C:E79G
0.052048
D60A:K63C:E79H
0.352924
D60A:K63C:E79I
0.608678
D60A:K63C:E79K
0.293382
D60A:K63C:E79L
0.598568
D60A:K63C:E79M
0.438353
D60A:K63C:E79N
0.224747
D60A:K63C:E79P
-0.006473
D60A:K63C:E79Q
0.509952
D60A:K63C:E79R
0.246931
D60A:K63C:E79S
0.255793
D60A:K63C:E79T
0.399621
D60A:K63C:E79V
0.55228
D60A:K63C:E79W
0.236879
D60A:K63C:E79Y
0.370401
D60A:K63C:E79_
0.017394
D60A:K63D:E79A
0.154973
D60A:K63D:E79C
0.176214
D60A:K63D:E79D
0.076295
D60A:K63D:E79E
0.343988
D60A:K63D:E79F
0.142268
D60A:K63D:E79G
0.072637
D60A:K63D:E79H
0.116525
D60A:K63D:E79I
0.248765
D60A:K63D:E79K
0.108472
D60A:K63D:E79L
0.240179
D60A:K63D:E79M
0.188746
D60A:K63D:E79N
0.047293
D60A:K63D:E79P
-0.011673
D60A:K63D:E79Q
0.191845
D60A:K63D:E79R
0.06051
D60A:K63D:E79S
0.092425
D60A:K63D:E79T
0.145856
D60A:K63D:E79V
0.212629
D60A:K63D:E79W
0.149345
D60A:K63D:E79Y
0.14764
D60A:K63D:E79_
0.023025
D60A:K63E:E79A
0.666043
D60A:K63E:E79C
0.576696
D60A:K63E:E79D
0.438163
D60A:K63E:E79E
0.871522
D60A:K63E:E79F
0.646528
D60A:K63E:E79G
0.195222
D60A:K63E:E79H
0.604512
D60A:K63E:E79I
0.796378
D60A:K63E:E79K
0.468999
D60A:K63E:E79L
0.79401
D60A:K63E:E79M
0.694945
D60A:K63E:E79N
0.278543
D60A:K63E:E79P
0.015766
D60A:K63E:E79Q
0.727537
D60A:K63E:E79R
0.352154
D60A:K63E:E79S
0.479716
D60A:K63E:E79T
0.665442
D60A:K63E:E79V
0.760189
D60A:K63E:E79W
0.371311
D60A:K63E:E79Y
0.661322
D60A:K63E:E79_
0.054487
D60A:K63F:E79A
0.245615
D60A:K63F:E79C
0.192349
D60A:K63F:E79D
0.181583
D60A:K63F:E79E
0.440881
D60A:K63F:E79F
0.183191
D60A:K63F:E79G
-0.000538
D60A:K63F:E79H
0.207591
D60A:K63F:E79I
0.37522
D60A:K63F:E79K
0.145075
D60A:K63F:E79L
0.348505
D60A:K63F:E79M
0.21799
D60A:K63F:E79N
0.079387
D60A:K63F:E79P
-0.060889
D60A:K63F:E79Q
0.217185
D60A:K63F:E79R
0.131848
D60A:K63F:E79S
0.151942
End of preview.