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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
model_name: string
publisher: string
full_model_name: string
spanish_score: double
spanish_spanish: double
spanish_copa_es: double
spanish_escola: double
spanish_mgsm_direct_es_spanish_bench: double
spanish_openbookqa_es: double
spanish_paws_es_spanish_bench: double
spanish_teleia: double
spanish_teleia_cervantes_ave: double
spanish_teleia_pce: double
spanish_teleia_siele: double
spanish_wnli_es: double
spanish_xnli_es_spanish_bench: double
teleia_score: double
teleia_teleia_cervantes_ave: double
teleia_teleia_pce: double
teleia_teleia_siele: double
portuguese_score: double
portuguese_assin2_rte: double
portuguese_bluex: double
portuguese_enem_challenge: double
portuguese_faquad_nli: double
portuguese_oab_exams: double
translation_score: double
translation_flores_plus_bidirectional: double
translation_flores_arb_por: double
translation_flores_arb_spa: double
translation_flores_cmn_por: double
translation_flores_cmn_spa: double
translation_flores_deu_por: double
translation_flores_deu_spa: double
translation_flores_eng_por: double
translation_flores_eng_spa: double
translation_flores_fra_por: double
translation_flores_fra_spa: double
translation_flores_hin_por: double
translation_flores_hin_spa: double
translation_flores_ita_por: double
translation_flores_ita_spa: double
translation_flores_por_spa: double
translation_opus: double
translation_opus_100_en-es: double
translation_opus_100_en-pt: double
structured_extraction_score: double
structured_extraction_extraction_quality_score: double
structured_extraction_composite_score: double
structured_extraction_schema_validity: double
structured_extraction_field_f1_partial: double
structured_extraction_hallucination_rate: double
overall_latam_score: double
image_extraction_score: double
image_extraction_extraction_quality_score: double
image_extraction_composite_score: double
image_extraction_schema_validity: double
image_extraction_field_f1_partial: double
image_extraction_hallucination_rate: double
organization: string
url: string
transcription_score: double
transcription_fleurs_es_latam: double
logos: list<item: struct<file: string, src: string, title: string, url: string>>
child 0, item: struct<file: string, src: string, title: string, url: string>
child 0, file: string
child 1, src: string
child 2, title: string
child 3, url: string
to
{'logos': List({'file': Value('string'), 'src': Value('string'), 'title': Value('string'), 'url': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
model_name: string
publisher: string
full_model_name: string
spanish_score: double
spanish_spanish: double
spanish_copa_es: double
spanish_escola: double
spanish_mgsm_direct_es_spanish_bench: double
spanish_openbookqa_es: double
spanish_paws_es_spanish_bench: double
spanish_teleia: double
spanish_teleia_cervantes_ave: double
spanish_teleia_pce: double
spanish_teleia_siele: double
spanish_wnli_es: double
spanish_xnli_es_spanish_bench: double
teleia_score: double
teleia_teleia_cervantes_ave: double
teleia_teleia_pce: double
teleia_teleia_siele: double
portuguese_score: double
portuguese_assin2_rte: double
portuguese_bluex: double
portuguese_enem_challenge: double
portuguese_faquad_nli: double
portuguese_oab_exams: double
translation_score: double
translation_flores_plus_bidirectional: double
translation_flores_arb_por: double
translation_flores_arb_spa: double
translation_flores_cmn_por: double
translation_flores_cmn_spa: double
translation_flores_deu_por: double
translation_flores_deu_spa: double
translation_flores_eng_por: double
translation_flores_eng_spa: double
translation_flores_fra_por: double
translation_flores_fra_spa: double
translation_flores_hin_por: double
translation_flores_hin_spa: double
translation_flores_ita_por: double
translation_flores_ita_spa: double
translation_flores_por_spa: double
translation_opus: double
translation_opus_100_en-es: double
translation_opus_100_en-pt: double
structured_extraction_score: double
structured_extraction_extraction_quality_score: double
structured_extraction_composite_score: double
structured_extraction_schema_validity: double
structured_extraction_field_f1_partial: double
structured_extraction_hallucination_rate: double
overall_latam_score: double
image_extraction_score: double
image_extraction_extraction_quality_score: double
image_extraction_composite_score: double
image_extraction_schema_validity: double
image_extraction_field_f1_partial: double
image_extraction_hallucination_rate: double
organization: string
url: string
transcription_score: double
transcription_fleurs_es_latam: double
logos: list<item: struct<file: string, src: string, title: string, url: string>>
child 0, item: struct<file: string, src: string, title: string, url: string>
child 0, file: string
child 1, src: string
child 2, title: string
child 3, url: string
to
{'logos': List({'file': Value('string'), 'src': Value('string'), 'title': Value('string'), 'url': Value('string')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
mauroibz/leaderboard-results
Results from model evaluations on the leaderboard
This dataset contains evaluation results from the leaderboard system.
Structure
- Each JSON file contains results for a specific model evaluation
- Files are organized by organization/model structure
- Each result file includes:
- Model configuration
- Evaluation results across different benchmarks
- Metadata about the evaluation run
Usage
These results are used by the leaderboard system to display model performance.
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