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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 2 new columns ({'username', 'timestamp'}) and 8 missing columns ({'#Params (B)', 'Model', 'Available on the hub', 'Hub ID', 'Model sha', 'OMR-NED', 'Submitter', 'Hub License'}).

This happened while the csv dataset builder was generating data using

hf://datasets/guangyangmusic/IMSLP-Piano-Scores-leaderboard-results/submission_log.csv (at revision 9c38327bceca1e7943fe041104a744cb2b4e3234), ['hf://datasets/guangyangmusic/IMSLP-Piano-Scores-leaderboard-results@9c38327bceca1e7943fe041104a744cb2b4e3234/results.csv', 'hf://datasets/guangyangmusic/IMSLP-Piano-Scores-leaderboard-results@9c38327bceca1e7943fe041104a744cb2b4e3234/submission_log.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 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
              username: string
              timestamp: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 512
              to
              {'Model': Value('string'), 'OMR-NED': Value('float64'), 'Submitter': Value('string'), 'Hub ID': Value('string'), 'Hub License': Value('string'), '#Params (B)': Value('string'), 'Available on the hub': Value('bool'), 'Model sha': 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 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 2 new columns ({'username', 'timestamp'}) and 8 missing columns ({'#Params (B)', 'Model', 'Available on the hub', 'Hub ID', 'Model sha', 'OMR-NED', 'Submitter', 'Hub License'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/guangyangmusic/IMSLP-Piano-Scores-leaderboard-results/submission_log.csv (at revision 9c38327bceca1e7943fe041104a744cb2b4e3234), ['hf://datasets/guangyangmusic/IMSLP-Piano-Scores-leaderboard-results@9c38327bceca1e7943fe041104a744cb2b4e3234/results.csv', 'hf://datasets/guangyangmusic/IMSLP-Piano-Scores-leaderboard-results@9c38327bceca1e7943fe041104a744cb2b4e3234/submission_log.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.

Model
string
OMR-NED
float64
Submitter
string
Hub ID
string
Hub License
string
#Params (B)
string
Available on the hub
bool
Model sha
string
GPT-5
0.943589
[@guangyangmusic](https://hf.co/guangyangmusic)
null
Unknown
Unkown
false
null
Legato
0.441945
[@guangyangmusic](https://hf.co/guangyangmusic)
[@guangyangmusic/legato](https://hf.co/guangyangmusic/legato)
mit
0.94
true
5f27e1b33b4495d41c250769a962ba7a3a294454
Gemini-2.5-Pro
0.94012
[@guangyangmusic](https://hf.co/guangyangmusic)
null
Unknown
Unkown
false
null
tiny
0.98437
[@svn27](https://hf.co/svn27)
null
Unknown
Unkown
false
null
Pali
0.968862
[@svn27](https://hf.co/svn27)
null
Unknown
0.4
false
null
Sig
0.969524
[@svn27](https://hf.co/svn27)
null
Unknown
0.4
false
null
homr
0.904951
[@vanshc](https://hf.co/vanshc)
null
Unknown
Unkown
false
null
rokot-omr-2b
0.761075
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
420ad315b84eb009b0649b003782242485b5f7ba
rokot-omr-2b
0.624055
[@nticaric](https://hf.co/nticaric)
[@@rokotmidi/rokot-omr-2b](https://hf.co/@rokotmidi/rokot-omr-2b)
Unknown
2.0
false
null
rokot-omr-2b
0.63857
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
e78069d13da2fcc567d145cdd3d859431219a060
rokot-omr-2b
0.597264
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
e78069d13da2fcc567d145cdd3d859431219a060
rokot-omr-2b
0.60523
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
cc947b48439a9e08ee9c3999a411a5a375128600
rokot-omr-2b
0.566351
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
cc947b48439a9e08ee9c3999a411a5a375128600
rokot-omr-2b
0.446935
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
cc947b48439a9e08ee9c3999a411a5a375128600
rokot-omr-2b
0.444689
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
cc947b48439a9e08ee9c3999a411a5a375128600
rokot-omr-2b
0.440883
[@nticaric](https://hf.co/nticaric)
[@rokotmidi/rokot-omr-2b](https://hf.co/rokotmidi/rokot-omr-2b)
cc-by-nc-4.0
2.0
true
cc947b48439a9e08ee9c3999a411a5a375128600
singkumodel1
0.40491
[@hms-0331](https://hf.co/hms-0331)
null
Unknown
8.0
false
null
singkumodel2
0.412082
[@hms-0331](https://hf.co/hms-0331)
null
Unknown
8.0
false
null
singkumodel3
0.385335
[@hms-0331](https://hf.co/hms-0331)
null
Unknown
8.0
false
null
singkumodel3
0.385335
[@hms-0331](https://hf.co/hms-0331)
null
Unknown
8.0
false
null
transcoda
0.500774
[@hms-0331](https://hf.co/hms-0331)
null
Unknown
Unkown
false
null
null
null
null
null
null
null
null
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