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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 15 new columns ({'target_seq', 'publication', 'DMS_id', 'DMS_mutant_type', 'DMS_score_type', 'DMS_filename', 'UniProt_ID', 'seq_len', 'PD_relevance', 'protein_name', 'number_mutants', 'source', 'organism', 'gene_name', 'DMS_phenotype'}) and 4 missing columns ({'mutant', 'label', 'review_status', 'significance'}).

This happened while the csv dataset builder was generating data using

hf://datasets/EvanOLeary/LewyGym/reference_files/DMS_substitutions.csv (at revision 35d69690b4985316ffe0c04039591b1719821e39), ['hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_gba_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_lrrk2_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_park7_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_pink1_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_prkn_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_snca_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_vps35_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/reference_files/DMS_substitutions.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Newberry_2020.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_0001pct.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_001pct.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_01pct.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_1pct.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              DMS_id: string
              UniProt_ID: string
              gene_name: string
              protein_name: string
              organism: string
              seq_len: int64
              number_mutants: int64
              DMS_phenotype: string
              DMS_mutant_type: string
              DMS_score_type: string
              source: string
              publication: string
              PD_relevance: string
              DMS_filename: string
              target_seq: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2089
              to
              {'mutant': Value('string'), 'label': Value('int64'), 'significance': Value('string'), 'review_status': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 15 new columns ({'target_seq', 'publication', 'DMS_id', 'DMS_mutant_type', 'DMS_score_type', 'DMS_filename', 'UniProt_ID', 'seq_len', 'PD_relevance', 'protein_name', 'number_mutants', 'source', 'organism', 'gene_name', 'DMS_phenotype'}) and 4 missing columns ({'mutant', 'label', 'review_status', 'significance'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/EvanOLeary/LewyGym/reference_files/DMS_substitutions.csv (at revision 35d69690b4985316ffe0c04039591b1719821e39), ['hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_gba_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_lrrk2_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_park7_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_pink1_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_prkn_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_snca_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/pathogenicity/clinvar_vps35_missense.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/reference_files/DMS_substitutions.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Newberry_2020.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_0001pct.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_001pct.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_01pct.csv', 'hf://datasets/EvanOLeary/LewyGym@35d69690b4985316ffe0c04039591b1719821e39/substitutions/SNCA_HUMAN_Noh_2026_1pct.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.

mutant
string
label
int64
significance
string
review_status
string
P454R
1
Pathogenic
no assertion criteria provided
P454R
1
Pathogenic
no assertion criteria provided
N409S
1
Pathogenic/Likely pathogenic; risk factor
criteria provided, multiple submitters, no conflicts
N409S
1
Pathogenic/Likely pathogenic; risk factor
criteria provided, multiple submitters, no conflicts
R159Q
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R159Q
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V433L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V433L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
D448H
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
D448H
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
D448V
1
Pathogenic/Likely pathogenic
no assertion criteria provided
D448V
1
Pathogenic/Likely pathogenic
no assertion criteria provided
R502C
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R502C
1
Pathogenic
criteria provided, multiple submitters, no conflicts
G85E
1
Pathogenic
criteria provided, multiple submitters, no conflicts
G85E
1
Pathogenic
criteria provided, multiple submitters, no conflicts
F255Y
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
F255Y
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
K196Q
1
Likely pathogenic
criteria provided, single submitter
K196Q
1
Likely pathogenic
criteria provided, single submitter
F252I
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
F252I
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V437F
1
Pathogenic
no assertion criteria provided
V437F
1
Pathogenic
no assertion criteria provided
P328L
1
Pathogenic
no assertion criteria provided
P328L
1
Pathogenic
no assertion criteria provided
T362I
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
T362I
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
P161S
1
Likely pathogenic
criteria provided, single submitter
P161S
1
Likely pathogenic
criteria provided, single submitter
R535H
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R535H
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V54L
1
Likely pathogenic
criteria provided, single submitter
V54L
1
Likely pathogenic
criteria provided, single submitter
N227S
1
Pathogenic
criteria provided, multiple submitters, no conflicts
N227S
1
Pathogenic
criteria provided, multiple submitters, no conflicts
F255V
1
Pathogenic
no assertion criteria provided
F255V
1
Pathogenic
no assertion criteria provided
W351C
1
Likely pathogenic
criteria provided, single submitter
W351C
1
Likely pathogenic
criteria provided, single submitter
G364R
1
Likely pathogenic
criteria provided, multiple submitters, no conflicts
G364R
1
Likely pathogenic
criteria provided, multiple submitters, no conflicts
C381G
1
Likely pathogenic
criteria provided, single submitter
C381G
1
Likely pathogenic
criteria provided, single submitter
S403T
1
Likely pathogenic
criteria provided, multiple submitters, no conflicts
S403T
1
Likely pathogenic
criteria provided, multiple submitters, no conflicts
R87W
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R87W
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R392G
1
Likely pathogenic
criteria provided, single submitter
R392G
1
Likely pathogenic
criteria provided, single submitter
P440L
1
Pathogenic
no assertion criteria provided
P440L
1
Pathogenic
no assertion criteria provided
H350R
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
H350R
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R398*
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R398*
1
Pathogenic
criteria provided, multiple submitters, no conflicts
G416S
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
G416S
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R296Q
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R296Q
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R170L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R170L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
K118N
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
K118N
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
F290L
1
Pathogenic
no assertion criteria provided
F290L
1
Pathogenic
no assertion criteria provided
L410V
1
Pathogenic
criteria provided, single submitter
L410V
1
Pathogenic
criteria provided, single submitter
R502H
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R502H
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
S235P
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
S235P
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R159W
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R159W
1
Pathogenic
criteria provided, multiple submitters, no conflicts
V391L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V391L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V414L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
V414L
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
L483R
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
L483R
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R170C
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R170C
1
Pathogenic
criteria provided, multiple submitters, no conflicts
R209C
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R209C
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
N227K
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
N227K
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
G241R
1
Pathogenic
criteria provided, multiple submitters, no conflicts
G241R
1
Pathogenic
criteria provided, multiple submitters, no conflicts
K13R
0
Benign
criteria provided, multiple submitters, no conflicts
K13R
0
Benign
criteria provided, multiple submitters, no conflicts
I299T
1
Likely pathogenic
criteria provided, multiple submitters, no conflicts
I299T
1
Likely pathogenic
criteria provided, multiple submitters, no conflicts
P426L
1
Likely pathogenic
criteria provided, single submitter
P426L
1
Likely pathogenic
criteria provided, single submitter
R535C
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
R535C
1
Pathogenic/Likely pathogenic
criteria provided, multiple submitters, no conflicts
A487T
1
Likely pathogenic
criteria provided, single submitter
A487T
1
Likely pathogenic
criteria provided, single submitter
I466S
1
Likely pathogenic
no assertion criteria provided
I466S
1
Likely pathogenic
no assertion criteria provided
End of preview.

LewyGym — Parkinson's Disease Protein Variant Effect Benchmark

ProteinGym-compatible variant effect prediction benchmark for Parkinson's disease proteins.

Dataset description

LewyGym provides two benchmark tracks for evaluating protein language models on Parkinson's disease variant effect prediction:

Track 1 — DMS substitution fitness (Spearman metric, ProteinGym-compatible)

  • 5 SNCA (alpha-synuclein) deep mutational scanning assays
  • 13,560 total variant-score pairs
  • Source: MaveDB (CC0)

Track 2 — ClinVar pathogenicity classification (AUROC metric)

  • 7 PD genes: LRRK2, GBA, PRKN, PINK1, SNCA, PARK7, VPS35
  • 874 classified missense variants (P/LP vs B/LB)
  • Source: ClinVar (public domain)

Usage

from datasets import load_dataset

# DMS track
dms = load_dataset("Tyronita/LewyGym", "substitutions")
# columns: mutant, DMS_score, DMS_id, gene, source

# Pathogenicity track  
path = load_dataset("Tyronita/LewyGym", "pathogenicity")
# columns: mutant, label (1=pathogenic, 0=benign), gene, significance

Scoring with ESM-2

git clone https://github.com/Tyronita/LewyGym
pip install transformers torch pandas scipy
python score.py --model 650M --assays all

Sources

  • Newberry et al. 2020, Nature Chemical Biology — SNCA yeast toxicity DMS
  • Noh et al. 2026, Protein Science — SNCA concentration-dependent DMS
  • Landrum et al., NAR — ClinVar
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