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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 20 new columns ({'refAmino', 'gnomAD_AF', 'Codons', 'REF_ALLELE', 'Proteomic_Context', 'MW_change', 'Hydrophobicity_change', 'Allele', 'AltAmino', 'Amino_acids', 'Genomic_Context', 'am_pathogenicity', 'REVEL', 'PolyPhen', 'CLIN_SIG', 'phyloP100way_vertebrate', 'SIFT', 'CADD_PHRED', 'phastCons100way_vertebrate', 'Polarity_change'}) and 1 missing columns ({'---'}).

This happened while the csv dataset builder was generating data using

zip://finalDataset.csv::hf://datasets/huseyincavus/genomics-features@9de391f9c4dc02f9c65a3bc1cc13d48085feb385/genomics-features.zip, ['hf://datasets/huseyincavus/genomics-features@9de391f9c4dc02f9c65a3bc1cc13d48085feb385/genomics-features.zip']

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
              REF_ALLELE: string
              Allele: string
              Codons: string
              Amino_acids: string
              refAmino: string
              AltAmino: string
              Hydrophobicity_change: double
              Polarity_change: double
              MW_change: double
              Genomic_Context: string
              Proteomic_Context: string
              phastCons100way_vertebrate: double
              phyloP100way_vertebrate: double
              SIFT: double
              PolyPhen: double
              CADD_PHRED: double
              REVEL: double
              am_pathogenicity: double
              gnomAD_AF: double
              CLIN_SIG: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2761
              to
              {'---': 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 20 new columns ({'refAmino', 'gnomAD_AF', 'Codons', 'REF_ALLELE', 'Proteomic_Context', 'MW_change', 'Hydrophobicity_change', 'Allele', 'AltAmino', 'Amino_acids', 'Genomic_Context', 'am_pathogenicity', 'REVEL', 'PolyPhen', 'CLIN_SIG', 'phyloP100way_vertebrate', 'SIFT', 'CADD_PHRED', 'phastCons100way_vertebrate', 'Polarity_change'}) and 1 missing columns ({'---'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://finalDataset.csv::hf://datasets/huseyincavus/genomics-features@9de391f9c4dc02f9c65a3bc1cc13d48085feb385/genomics-features.zip, ['hf://datasets/huseyincavus/genomics-features@9de391f9c4dc02f9c65a3bc1cc13d48085feb385/genomics-features.zip']
              
              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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---
string
license: cc0-1.0
task_categories:
- tabular-classification
tags:
- genomics
- clinvar
dataset_info:
features:
- name: Gene
dtype: string
- name: Variation
dtype: string
- name: CS
dtype: string
- name: SIFT_score
dtype: float64
- name: SIFT4G_score
dtype: float64
- name: Polyphen2_HDIV_score
dtype: float64
- name: Polyphen2_HVAR_score
dtype: float64
- name: LRT_score
dtype: float64
- name: MutationTaster_score
dtype: float64
- name: MutationAssessor_score
dtype: float64
- name: FATHMM_score
dtype: float64
- name: PROVEAN_score
dtype: float64
- name: VEST4_score
dtype: float64
- name: MetaSVM_score
dtype: float64
- name: MetaLR_score
dtype: float64
- name: MetaRNN_score
dtype: float64
- name: M-CAP_score
dtype: float64
- name: REVEL_score
dtype: float64
- name: MutPred_score
dtype: float64
- name: MVP_score
dtype: float64
- name: gMVP_score
dtype: float64
- name: MPC_score
dtype: float64
- name: PrimateAI_score
dtype: float64
- name: DEOGEN2_score
dtype: float64
- name: BayesDel_addAF_score
dtype: float64
- name: BayesDel_noAF_score
dtype: float64
- name: ClinPred_score
dtype: float64
- name: LIST-S2_score
dtype: float64
- name: DANN_score
dtype: float64
- name: fathmm-MKL_coding_score
dtype: float64
- name: fathmm-XF_coding_score
dtype: float64
- name: GenoCanyon_score
dtype: float64
- name: integrated_fitCons_score
dtype: float64
- name: GM12878_fitCons_score
dtype: float64
- name: H1-hESC_fitCons_score
dtype: float64
- name: HUVEC_fitCons_score
dtype: float64
- name: CADD_score
dtype: float64
- name: Eigen_score
dtype: float64
- name: Eigen-PC_score
dtype: float64
- name: GERP++_score
dtype: float64
- name: phastCons100way_vertebrate_score
dtype: float64
- name: phastCons470way_mammalian_score
dtype: float64
- name: phastCons17way_primate_score
dtype: float64
- name: SiPhy_score
dtype: float64
- name: bStatistic_score
dtype: float64
- name: AlphaMissense_score
dtype: float64
End of preview.

genomics-features

Tabular feature set for genomic variant classification and annotation benchmarks.

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