Datasets:

ClarusC64
/

alphafold-misfolding-coherence-baseline-mapping-v0.1

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 ({'__index_level_0__'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/alphafold-misfolding-coherence-baseline-mapping-v0.1/data/test.csv (at revision 77d5a275a6974d7bb31a8615369f56f754a35665), [/tmp/hf-datasets-cache/medium/datasets/87294601594948-config-parquet-and-info-ClarusC64-alphafold-misfo-65fb02da/hub/datasets--ClarusC64--alphafold-misfolding-coherence-baseline-mapping-v0.1/snapshots/77d5a275a6974d7bb31a8615369f56f754a35665/data/test.csv (origin=hf://datasets/ClarusC64/alphafold-misfolding-coherence-baseline-mapping-v0.1@77d5a275a6974d7bb31a8615369f56f754a35665/data/test.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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
              id: string
              protein: int64
              sequence_length: double
              baseline_secondary_structure_coherence: double
              long_range_coupling_score: double
              fluctuation_synchrony_score: double
              hydrophobic_core_integrity: double
              native_state_variance: double
              misfolding_margin: double
              critical_regions: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2085
              to
              {'id': Value('string'), 'protein': Value('string'), 'sequence_length': Value('int64'), 'baseline_secondary_structure_coherence': Value('float64'), 'long_range_coupling_score': Value('float64'), 'fluctuation_synchrony_score': Value('float64'), 'hydrophobic_core_integrity': Value('float64'), 'native_state_variance': Value('float64'), 'misfolding_margin': Value('float64'), 'critical_regions': Value('string'), 'notes': Value('string'), 'constraints': Value('string'), 'gold_checklist': Value('string')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 ({'__index_level_0__'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ClarusC64/alphafold-misfolding-coherence-baseline-mapping-v0.1/data/test.csv (at revision 77d5a275a6974d7bb31a8615369f56f754a35665), [/tmp/hf-datasets-cache/medium/datasets/87294601594948-config-parquet-and-info-ClarusC64-alphafold-misfo-65fb02da/hub/datasets--ClarusC64--alphafold-misfolding-coherence-baseline-mapping-v0.1/snapshots/77d5a275a6974d7bb31a8615369f56f754a35665/data/test.csv (origin=hf://datasets/ClarusC64/alphafold-misfolding-coherence-baseline-mapping-v0.1@77d5a275a6974d7bb31a8615369f56f754a35665/data/test.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)

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id string	protein string	sequence_length int64	baseline_secondary_structure_coherence float64	long_range_coupling_score float64	fluctuation_synchrony_score float64	hydrophobic_core_integrity float64	native_state_variance float64	misfolding_margin float64	critical_regions string	notes string	constraints string	gold_checklist string
MCB-001	tau_2N4R	441	0.71	0.62	0.66	0.58	0.22	0.39	275-305\|336-368	Tau shows moderate native basin stability	<=320 words	baseline+regions
MCB-002	alpha_syn	140	0.64	0.55	0.6	0.49	0.28	0.35	61-95	Intrinsically disordered baseline	<=320 words	baseline+regions
MCB-003	amyloid_beta	42	0.52	0.48	0.5	0.46	0.31	0.29	17-21	Short peptide unstable	<=320 words	baseline+regions
MCB-004	SOD1	153	0.84	0.8	0.79	0.83	0.12	0.58	57-80	Stable enzyme baseline	<=320 words	baseline+regions
MCB-005	TDP43	414	0.66	0.59	0.61	0.55	0.24	0.41	311-360	Low complexity region	<=320 words	baseline+regions
MCB-006	prion_prp	253	0.69	0.63	0.65	0.6	0.2	0.47	110-136	Prion folding basin fragile	<=320 words	baseline+regions
MCB-007	ubiquitin	76	0.91	0.88	0.89	0.92	0.08	0.72	none	Highly stable control	<=320 words	baseline+regions
MCB-008	huntingtin_exon1	90	0.61	0.54	0.57	0.51	0.26	0.36	17-35	PolyQ tract sensitivity	<=320 words	baseline+regions
MCB-009	insulin_chainB	30	0.82	0.75	0.78	0.8	0.14	0.62	7-19	Compact peptide baseline	<=320 words	baseline+regions
MCB-010	lysozyme	148	0.88	0.83	0.85	0.87	0.1	0.66	56-70	Stable enzyme reference	<=320 words	baseline+regions

What this dataset tests

Defines the native coherence basin
of proteins prone to aggregation.

Focus
dynamic folding stability
long-range coupling
hydrophobic core integrity

Task

Given structural stability metrics
predict:

baseline coherence score
misfolding margin
critical regions prone to drift

Why this matters

Misfolding diseases begin
with coherence loss
not visible aggregates.

This dataset defines
the intact basin
before drift begins.

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Total file size:

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