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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 1 new columns ({'n_references'})

This happened while the csv dataset builder was generating data using

gzip://pmhc_shortlist.tsv::hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/pmhc_shortlist.tsv.gz, ['hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/pmhc_full.tsv.gz', 'hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/pmhc_shortlist.tsv.gz', 'hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/summary.tsv']

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 1837, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              epitope: string
              gene: string
              species: string
              mhc_a: string
              mhc_b: string
              mhc_class: string
              mhc_species: string
              reference_id: int64
              n_references: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1319
              to
              {'epitope': Value('string'), 'gene': Value('string'), 'species': Value('string'), 'mhc_a': Value('string'), 'mhc_b': Value('string'), 'mhc_class': Value('string'), 'mhc_species': Value('string'), 'reference_id': Value('int64')}
              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 1683, 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 1839, 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 1 new columns ({'n_references'})
              
              This happened while the csv dataset builder was generating data using
              
              gzip://pmhc_shortlist.tsv::hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/pmhc_shortlist.tsv.gz, ['hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/pmhc_full.tsv.gz', 'hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/pmhc_shortlist.tsv.gz', 'hf://datasets/isalgo/pmhc_data@9a81417e5217235971df88ede95930a3d0c7bc56/summary.tsv']
              
              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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epitope
string
gene
string
species
string
mhc_a
string
mhc_b
string
mhc_class
string
mhc_species
string
reference_id
int64
AAAAAAAAA
Q9BWF3
HomoSapiens
HLA-A*30:01
B2M
MHCI
HomoSapiens
32,897,882
AAAAAAAAA
Q9BWF3
HomoSapiens
HLA-C*03:04
B2M
MHCI
HomoSapiens
32,897,882
AAAAAAAAA
Q9BWF3
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAAA
Q96KR1
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAAAA
A0AV96
HomoSapiens
HLA-A*02:05
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAAA
A0AV96
HomoSapiens
I-Ad
I-Ad
MHCII
MusMusculus
10,775,108
AAAAAAAAAAAAA
A0AV96
HomoSapiens
HLA-B*15:02
B2M
MHCI
HomoSapiens
33,912,179
AAAAAAAAAAAAA
A0AV96
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAA
A0AV96
HomoSapiens
HLA-DRA*01:01
HLA-DRB1*01:01
MHCII
HomoSapiens
8,152,483
AAAAAAAAAAAAAA
P41225
HomoSapiens
HLA-DQA1*01:02
HLA-DQB1*06:02
MHCII
HomoSapiens
30,626,607
AAAAAAAAAAAAAA
P41225
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-B*15:02
B2M
MHCI
HomoSapiens
33,912,179
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-DPA1*01:03
HLA-DPB1*03:01
MHCII
HomoSapiens
32,350,084
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-DPA1*01:03
HLA-DPB1*03:01
MHCII
HomoSapiens
35,251,023
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-DPA1*01:03
HLA-DPB1*06:01
MHCII
HomoSapiens
32,350,084
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-DQA1*01:02
HLA-DQB1*06:02
MHCII
HomoSapiens
30,626,607
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-DQA1*03:01
HLA-DQB1*03:02
MHCII
HomoSapiens
34,433,824
AAAAAAAAAAAAAAA
O00358
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAAAAAHLPSMA
P20264
HomoSapiens
HLA-DPA1*01:03
HLA-DPB1*06:01
MHCII
HomoSapiens
35,251,023
AAAAAAAAAAAAAAALA
O60346
HomoSapiens
HLA-DPA1*01:03
HLA-DPB1*03:01
MHCII
HomoSapiens
32,350,084
AAAAAAAAAAAAAAQCR
Q8N3X6
HomoSapiens
HLA-DPA1*01:03
HLA-DPB1*03:01
MHCII
HomoSapiens
32,350,084
AAAAAAAAAAAAAG
P31271
HomoSapiens
HLA-DQA1*01:02
HLA-DQB1*06:02
MHCII
HomoSapiens
30,626,607
AAAAAAAAAAAAAGAGA
P55011
HomoSapiens
HLA-A*02:01
B2M
MHCI
HomoSapiens
33,298,915
AAAAAAAAAAAAAGAGA
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAAGTF
Q7Z570
HomoSapiens
HLA-B*15:02
B2M
MHCI
HomoSapiens
33,912,179
AAAAAAAAAAAAAQ
Q9H1B7
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAAYSS
Q8TAU0
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAAAAHQ
Q8NAP8
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAAAANANIAAAA
null
null
I-Ab
I-Ab
MHCII
MusMusculus
7,490,116
AAAAAAAAAAAANANIAAAA
null
null
I-Ad
I-Ad
MHCII
MusMusculus
7,490,116
AAAAAAAAAAAAQ
Q8N3X6
HomoSapiens
HLA-DQA1*03:01
HLA-DQB1*03:02
MHCII
HomoSapiens
34,433,824
AAAAAAAAAAAAQ
Q8N3X6
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-B*15:02
B2M
MHCI
HomoSapiens
33,912,179
AAAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-DQA1*03:01
HLA-DQB1*03:02
MHCII
HomoSapiens
34,433,824
AAAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAATGTEAGPG
O60341
HomoSapiens
HLA-B*57:03
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAAAGAGA
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAGAGAG
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAGNVNIAAAA
null
null
I-Ab
I-Ab
MHCII
MusMusculus
7,490,116
AAAAAAAAAAAGNVNIAAAA
null
null
I-Ad
I-Ad
MHCII
MusMusculus
7,490,116
AAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-B*15:02
B2M
MHCI
HomoSapiens
33,912,179
AAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-DQA1*03:01
HLA-DQB1*03:02
MHCII
HomoSapiens
34,433,824
AAAAAAAAAAAQQ
Q9H1B7
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAAYSS
Q8TAU0
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAAGAAGGR
Q86U42
HomoSapiens
HLA-B*27:05
B2M
MHCI
HomoSapiens
29,393,594
AAAAAAAAAAGAAGGR
Q86U42
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAAGAAGGRGSGPGR
Q86U42
HomoSapiens
HLA-B*27:05
B2M
MHCI
HomoSapiens
29,393,594
AAAAAAAAAAGAAGGRGSGPGRR
Q86U42
HomoSapiens
HLA-DRA*01:01
HLA-DRB1*15:01
MHCII
HomoSapiens
41,534,530
AAAAAAAAAAGAGAG
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAGAGAGA
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAGE
Q7RTP0
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAAGG
P17535
HomoSapiens
HLA-B*57:03
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAAKAA
P15502
HomoSapiens
HLA-DQA1*05:01
HLA-DQB1*02:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAKAA
P15502
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAQQQ
Q9H1B7
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAAVAAAP
P56270
HomoSapiens
HLA-C*06:02
B2M
MHCI
HomoSapiens
28,855,257
AAAAAAAAAAVS
Q13516
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
33,633,747
AAAAAAAAAE
Q6ZNJ1
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
29,437,277
AAAAAAAAAEQ
Q15904
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAGAGAG
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAGAGAGA
P55011
HomoSapiens
HLA-DQA1*05:05
HLA-DQB1*03:01
MHCII
HomoSapiens
25,502,872
AAAAAAAAAGE
Q7RTP0
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
29,437,277
AAAAAAAAALL
P36897
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAAMS
P41225
HomoSapiens
HLA-B*57:03
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAQE
Q9GZU2
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAR
null
null
HLA-DQA1*03:02
HLA-DQB1*04:01
MHCII
HomoSapiens
8,671,664
AAAAAAAAASV
Q76L83
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
29,437,277
AAAAAAAAATY
Q9H2Z4
HomoSapiens
HLA-C*02:02
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAVEAS
P20264
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,228,285
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
29,437,277
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
30,315,122
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
33,633,747
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:03
B2M
MHCI
HomoSapiens
30,315,122
AAAAAAAAAW
Q96QS3
HomoSapiens
HLA-B*57:03
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAY
P11161
HomoSapiens
HLA-C*02:02
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAAY
P11161
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAAY
P11161
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAACP
null
unidentified
HLA-B*57:01
B2M
MHCI
HomoSapiens
30,315,122
AAAAAAAAE
Q6ZNJ1
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAFT
Q9UKD1
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAFTA
Q9UKD1
HomoSapiens
HLA-B*46:01
B2M
MHCI
HomoSapiens
28,514,659
AAAAAAAAFTA
Q9UKD1
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAGDSDSWDADTF
A0JPM9
Rattus norvegicus
HLA-B*27:05
B2M
MHCI
HomoSapiens
28,188,227
AAAAAAAAGE
P13378
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAGGDAG
Q8N319
HomoSapiens
HLA-B*15:01
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAI
O00358
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAI
O00358
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,844,290
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-B*15:10
B2M
MHCI
HomoSapiens
32,897,882
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
29,437,277
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-C*03:04
B2M
MHCI
HomoSapiens
32,897,882
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-C*03:04
B2M
MHCI
HomoSapiens
9,177,214
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-C*12:02
B2M
MHCI
HomoSapiens
31,217,245
AAAAAAAAL
Q8IXZ3
HomoSapiens
HLA-C*12:03
B2M
MHCI
HomoSapiens
32,897,882
AAAAAAAALA
O14654
HomoSapiens
HLA-B*57:01
B2M
MHCI
HomoSapiens
28,218,747
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