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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 ({'categories'}) and 49 missing columns ({'spanish_xnli_es_spanish_bench', 'portuguese_score', 'translation_flores_ita_spa', 'spanish_teleia', 'spanish_escola', 'structured_extraction_hallucination_rate', 'translation_flores_ita_por', 'spanish_teleia_cervantes_ave', 'translation_flores_cmn_spa', 'teleia_teleia_siele', 'translation_flores_fra_por', 'translation_flores_por_spa', 'structured_extraction_field_f1_partial', 'spanish_openbookqa_es', 'structured_extraction_schema_validity', 'spanish_score', 'teleia_teleia_cervantes_ave', 'translation_flores_plus_bidirectional', 'translation_flores_eng_spa', 'translation_opus_100_en-es', 'portuguese_faquad_nli', 'teleia_score', 'translation_flores_hin_spa', 'translation_flores_arb_spa', 'spanish_mgsm_direct_es_spanish_bench', 'spanish_wnli_es', 'portuguese_bluex', 'teleia_teleia_pce', 'structured_extraction_extraction_quality_score', 'spanish_copa_es', 'portuguese_assin2_rte', 'translation_flores_deu_spa', 'structured_extraction_composite_score', 'portuguese_oab_exams', 'spanish_teleia_pce', 'translation_flores_fra_spa', 'translation_opus_100_en-pt', 'translation_flores_hin_por', 'spanish_teleia_siele', 'translation_opus', 'structured_extraction_score', 'translation_flores_cmn_por', 'translation_score', 'translation_flores_eng_por', 'translation_flores_deu_por', 'spanish_paws_es_spanish_bench', 'portuguese_enem_challenge', 'translation_flores_arb_por', 'spanish_spanish'}).
This happened while the json dataset builder was generating data using
hf://datasets/LatamBoard/leaderboard-results/summaries/AFM-4.5B_summary.json (at revision 07f02222e95e34a4c8d46524b72ad8650d37525a)
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 "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
model_name: string
publisher: string
full_model_name: string
categories: struct<spanish: struct<task_scores: struct<spanish: struct<score: double, stderr: double, metric: st (... 5227 chars omitted)
child 0, spanish: struct<task_scores: struct<spanish: struct<score: double, stderr: double, metric: string, alias: str (... 1572 chars omitted)
child 0, task_scores: struct<spanish: struct<score: double, stderr: double, metric: string, alias: string>, copa_es: struc (... 928 chars omitted)
child 0, spanish: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 1, copa_es: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 2, escola: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 3, mgsm_direct_es_spanish_bench: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: s
...
ld 1, stderr: double
child 2, metric: string
child 3, alias: string
child 3, field_f1_partial: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 4, hallucination_rate: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 2, category_scores: struct<structured_extraction: struct<score: double, stderr: double, metric: string, alias: string>>
child 0, structured_extraction: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 3, top_level_scores: struct<structured_extraction: struct<score: double, stderr: double, metric: string, alias: string>>
child 0, structured_extraction: struct<score: double, stderr: double, metric: string, alias: string>
child 0, score: double
child 1, stderr: double
child 2, metric: string
child 3, alias: string
child 4, overall_score: double
child 5, evaluation_time: string
overall_latam_score: double
to
{'model_name': Value('string'), 'publisher': Value('string'), 'full_model_name': Value('string'), 'overall_latam_score': Value('float64'), 'spanish_score': Value('float64'), 'spanish_spanish': Value('float64'), 'spanish_copa_es': Value('float64'), 'spanish_escola': Value('float64'), 'spanish_mgsm_direct_es_spanish_bench': Value('float64'), 'spanish_openbookqa_es': Value('float64'), 'spanish_paws_es_spanish_bench': Value('float64'), 'spanish_teleia': Value('float64'), 'spanish_teleia_cervantes_ave': Value('float64'), 'spanish_teleia_pce': Value('float64'), 'spanish_teleia_siele': Value('float64'), 'spanish_wnli_es': Value('float64'), 'spanish_xnli_es_spanish_bench': Value('float64'), 'teleia_score': Value('float64'), 'teleia_teleia_cervantes_ave': Value('float64'), 'teleia_teleia_pce': Value('float64'), 'teleia_teleia_siele': Value('float64'), 'portuguese_score': Value('float64'), 'portuguese_assin2_rte': Value('float64'), 'portuguese_bluex': Value('float64'), 'portuguese_enem_challenge': Value('float64'), 'portuguese_faquad_nli': Value('float64'), 'portuguese_oab_exams': Value('float64'), 'translation_score': Value('float64'), 'translation_flores_plus_bidirectional': Value('float64'), 'translation_flores_arb_por': Value('float64'), 'translation_flores_arb_spa': Value('float64'), 'translation_flores_cmn_por': Value('float64'), 'translation_flores_cmn_spa': Value('float64'), 'translation_flores_deu_por': Value('float64'), 'translation_flores_deu_spa': Value('float64'), 'translation_flores_eng_por': Value('float64'), 'translation_flores_eng_spa': Value('float64'), 'translation_flores_fra_por': Value('float64'), 'translation_flores_fra_spa': Value('float64'), 'translation_flores_hin_por': Value('float64'), 'translation_flores_hin_spa': Value('float64'), 'translation_flores_ita_por': Value('float64'), 'translation_flores_ita_spa': Value('float64'), 'translation_flores_por_spa': Value('float64'), 'translation_opus': Value('float64'), 'translation_opus_100_en-es': Value('float64'), 'translation_opus_100_en-pt': Value('float64'), 'structured_extraction_score': Value('float64'), 'structured_extraction_extraction_quality_score': Value('float64'), 'structured_extraction_composite_score': Value('float64'), 'structured_extraction_schema_validity': Value('float64'), 'structured_extraction_field_f1_partial': Value('float64'), 'structured_extraction_hallucination_rate': Value('float64')}
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 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 ({'categories'}) and 49 missing columns ({'spanish_xnli_es_spanish_bench', 'portuguese_score', 'translation_flores_ita_spa', 'spanish_teleia', 'spanish_escola', 'structured_extraction_hallucination_rate', 'translation_flores_ita_por', 'spanish_teleia_cervantes_ave', 'translation_flores_cmn_spa', 'teleia_teleia_siele', 'translation_flores_fra_por', 'translation_flores_por_spa', 'structured_extraction_field_f1_partial', 'spanish_openbookqa_es', 'structured_extraction_schema_validity', 'spanish_score', 'teleia_teleia_cervantes_ave', 'translation_flores_plus_bidirectional', 'translation_flores_eng_spa', 'translation_opus_100_en-es', 'portuguese_faquad_nli', 'teleia_score', 'translation_flores_hin_spa', 'translation_flores_arb_spa', 'spanish_mgsm_direct_es_spanish_bench', 'spanish_wnli_es', 'portuguese_bluex', 'teleia_teleia_pce', 'structured_extraction_extraction_quality_score', 'spanish_copa_es', 'portuguese_assin2_rte', 'translation_flores_deu_spa', 'structured_extraction_composite_score', 'portuguese_oab_exams', 'spanish_teleia_pce', 'translation_flores_fra_spa', 'translation_opus_100_en-pt', 'translation_flores_hin_por', 'spanish_teleia_siele', 'translation_opus', 'structured_extraction_score', 'translation_flores_cmn_por', 'translation_score', 'translation_flores_eng_por', 'translation_flores_deu_por', 'spanish_paws_es_spanish_bench', 'portuguese_enem_challenge', 'translation_flores_arb_por', 'spanish_spanish'}).
This happened while the json dataset builder was generating data using
hf://datasets/LatamBoard/leaderboard-results/summaries/AFM-4.5B_summary.json (at revision 07f02222e95e34a4c8d46524b72ad8650d37525a)
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_name
string | publisher
string | full_model_name
string | overall_latam_score
float64 | spanish_score
float64 | spanish_spanish
float64 | spanish_copa_es
float64 | spanish_escola
float64 | spanish_mgsm_direct_es_spanish_bench
float64 | spanish_openbookqa_es
float64 | spanish_paws_es_spanish_bench
float64 | spanish_teleia
float64 | spanish_teleia_cervantes_ave
float64 | spanish_teleia_pce
float64 | spanish_teleia_siele
float64 | spanish_wnli_es
float64 | spanish_xnli_es_spanish_bench
float64 | teleia_score
float64 | teleia_teleia_cervantes_ave
float64 | teleia_teleia_pce
float64 | teleia_teleia_siele
float64 | portuguese_score
float64 | portuguese_assin2_rte
float64 | portuguese_bluex
float64 | portuguese_enem_challenge
float64 | portuguese_faquad_nli
float64 | portuguese_oab_exams
float64 | translation_score
float64 | translation_flores_plus_bidirectional
float64 | translation_flores_arb_por
float64 | translation_flores_arb_spa
float64 | translation_flores_cmn_por
float64 | translation_flores_cmn_spa
float64 | translation_flores_deu_por
float64 | translation_flores_deu_spa
float64 | translation_flores_eng_por
float64 | translation_flores_eng_spa
float64 | translation_flores_fra_por
float64 | translation_flores_fra_spa
float64 | translation_flores_hin_por
float64 | translation_flores_hin_spa
float64 | translation_flores_ita_por
float64 | translation_flores_ita_spa
float64 | translation_flores_por_spa
float64 | translation_opus
float64 | translation_opus_100_en-es
float64 | translation_opus_100_en-pt
float64 | structured_extraction_score
float64 | structured_extraction_extraction_quality_score
float64 | structured_extraction_composite_score
float64 | structured_extraction_schema_validity
float64 | structured_extraction_field_f1_partial
float64 | structured_extraction_hallucination_rate
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yi-1.5-6B-Chat
|
01-ai
|
01-ai/Yi-1.5-6B-Chat
| 0.5457 | 0.5376 | 0.5356 | 0.684 | 0.661 | 0.096 | 0.28 | 0.615 | 0.619 | 0.6667 | 0.4286 | 0.5 | 0.5634 | 0.4398 | 0.619 | 0.6667 | 0.4286 | 0.5 | 0.7682 | 0.8145 | 0.4798 | 0.5136 | 0.6463 | 0.4027 | 0.1376 | 0.1227 | 0.1305 | 0.1314 | 0.3193 | 0.2975 | 0.4509 | 0.4009 | 0.6228 | 0.5396 | 0.5406 | 0.4726 | 0.2383 | 0.2276 | 0.4602 | 0.4234 | 0.4684 | 0.2492 | 0.5351 | 0.4817 | 0.7392 | 0.7392 | 0.881 | 0.8887 | 0.635 | 0.1858 |
zephyr-7b-beta
|
HuggingFaceH4
|
HuggingFaceH4/zephyr-7b-beta
| 0.6545 | 0.5687 | 0.5441 | 0.768 | 0.6695 | 0.06 | 0.356 | 0.602 | 0.6667 | 0.3333 | 0.5714 | 0.75 | 0.6338 | 0.4345 | 0.6667 | 0.3333 | 0.5714 | 0.75 | 0.8272 | 0.8956 | 0.4757 | 0.5612 | 0.6206 | 0.4082 | 0.4208 | 0.4087 | 0.1324 | 0.1432 | 0.3066 | 0.3014 | 0.5099 | 0.4735 | 0.6544 | 0.5476 | 0.5743 | 0.5139 | 0.2389 | 0.2456 | 0.502 | 0.4799 | 0.5076 | 0.5117 | 0.5293 | 0.494 | 0.8011 | 0.8011 | 0.8868 | 0.9769 | 0.7115 | 0.1258 |
gemma-3n-E2B-it
|
google
|
google/gemma-3n-E2B-it
| 0.5946 | 0.58 | 0.5283 | 0.786 | 0.699 | 0.064 | 0.336 | 0.5695 | 0.619 | 0.5 | 0.4286 | 0.875 | 0.6197 | 0.4064 | 0.619 | 0.5 | 0.4286 | 0.875 | 0.8557 | 0.924 | 0.5591 | 0.6788 | 0.7034 | 0.4715 | 0.0965 | 0.0747 | 0.164 | 0.1685 | 0.1841 | 0.172 | 0.2627 | 0.2383 | 0.6554 | 0.5507 | 0.2776 | 0.2688 | 0.1546 | 0.1358 | 0.2703 | 0.2701 | 0.2768 | 0.2603 | 0.5713 | 0.5307 | 0.846 | 0.846 | 0.9029 | 0.8908 | 0.7643 | 0.0558 |
Ministral-8B-Instruct-2410
|
mistralai
|
mistralai/Ministral-8B-Instruct-2410
| 0.6725 | 0.6166 | 0.569 | 0.84 | 0.6087 | 0.068 | 0.388 | 0.62 | 0.619 | 0.6667 | 0.4286 | 0.75 | 0.7606 | 0.4871 | 0.619 | 0.6667 | 0.4286 | 0.75 | 0.8604 | 0.9206 | 0.5981 | 0.7096 | 0.7147 | 0.5148 | 0.3728 | 0.3507 | 0.1636 | 0.1637 | 0.187 | 0.2015 | 0.3833 | 0.399 | 0.6973 | 0.5687 | 0.4688 | 0.4539 | 0.159 | 0.1849 | 0.3787 | 0.4227 | 0.4279 | 0.5385 | 0.5737 | 0.5033 | 0.8402 | 0.8402 | 0.8937 | 0.9916 | 0.7622 | 0.085 |
DeepSeek-R1-Distill-Qwen-7B
|
deepseek-ai
|
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
| 0.5035 | 0.4438 | 0.4625 | 0.58 | 0.3742 | 0.084 | 0.24 | 0.5675 | 0.4286 | 0.5 | 0.4286 | 0.375 | 0.493 | 0.4361 | 0.4286 | 0.5 | 0.4286 | 0.375 | 0.7526 | 0.7817 | 0.484 | 0.499 | 0.4392 | 0.3645 | 0.048 | 0.0411 | 0.1444 | 0.1448 | 0.1455 | 0.144 | 0.2252 | 0.2215 | 0.5401 | 0.4741 | 0.2479 | 0.244 | 0.1138 | 0.116 | 0.2479 | 0.2455 | 0.2447 | 0.0996 | 0.3642 | 0.3408 | 0.7698 | 0.7698 | 0.8774 | 0.9223 | 0.6734 | 0.1579 |
Llama-3.1-8B-Instruct
|
meta-llama
|
meta-llama/Llama-3.1-8B-Instruct
| 0.6179 | 0.6278 | 0.5916 | 0.818 | 0.6923 | 0.008 | 0.352 | 0.6485 | 0.6667 | 0.5 | 0.5714 | 0.875 | 0.6901 | 0.5024 | 0.6667 | 0.5 | 0.5714 | 0.875 | 0.8611 | 0.9074 | 0.6036 | 0.7131 | 0.6145 | 0.5185 | 0.1702 | 0.1623 | 0.1727 | 0.1812 | 0.3163 | 0.3071 | 0.5493 | 0.492 | 0.663 | 0.552 | 0.5967 | 0.5225 | 0.3926 | 0.3337 | 0.5307 | 0.5017 | 0.5174 | 0.229 | 0.5714 | 0.4922 | 0.8127 | 0.8127 | 0.9047 | 0.9853 | 0.7297 | 0.1236 |
Qwen3-4B-Instruct-2507
|
Qwen
|
Qwen/Qwen3-4B-Instruct-2507
| 0.6269 | 0.6112 | 0.5533 | 0.738 | 0.6714 | 0 | 0.298 | 0.6145 | 0.6667 | 0.6667 | 0.4286 | 0.875 | 0.7465 | 0.4618 | 0.6667 | 0.6667 | 0.4286 | 0.875 | 0.8839 | 0.9264 | 0.6732 | 0.7537 | 0.8119 | 0.5139 | 0.1656 | 0.1516 | 0.1147 | 0.1142 | 0.3625 | 0.3409 | 0.5467 | 0.492 | 0.6452 | 0.5359 | 0.5801 | 0.5024 | 0.4084 | 0.3769 | 0.5161 | 0.4781 | 0.5037 | 0.2702 | 0.5614 | 0.5193 | 0.8468 | 0.8468 | 0.898 | 0.9937 | 0.7668 | 0.066 |
DeepSeek-R1-Distill-Llama-8B
|
deepseek-ai
|
deepseek-ai/DeepSeek-R1-Distill-Llama-8B
| 0.5433 | 0.4791 | 0.5424 | 0.73 | 0.6486 | 0.004 | 0.292 | 0.6095 | 0.3333 | 0 | 0.4286 | 0.5 | 0.6479 | 0.455 | 0.3333 | 0 | 0.4286 | 0.5 | 0.8072 | 0.8531 | 0.4924 | 0.5689 | 0.6801 | 0.4337 | 0.078 | 0.0571 | 0.1604 | 0.1649 | 0.1943 | 0.1641 | 0.2622 | 0.2287 | 0.6314 | 0.5264 | 0.2572 | 0.2436 | 0.139 | 0.1231 | 0.254 | 0.2453 | 0.2424 | 0.2345 | 0.522 | 0.4845 | 0.8088 | 0.8088 | 0.8747 | 0.9895 | 0.7227 | 0.1227 |
Llama-3.2-3B-Instruct
|
meta-llama
|
meta-llama/Llama-3.2-3B-Instruct
| 0.5532 | 0.5145 | 0.4975 | 0.742 | 0.4435 | 0.004 | 0.274 | 0.5785 | 0.5238 | 0.3333 | 0.4286 | 0.75 | 0.6338 | 0.447 | 0.5238 | 0.3333 | 0.4286 | 0.75 | 0.7993 | 0.8339 | 0.4951 | 0.5962 | 0.6762 | 0.4333 | 0.1514 | 0.1353 | 0.1596 | 0.1745 | 0.3519 | 0.3343 | 0.4637 | 0.3775 | 0.659 | 0.542 | 0.4855 | 0.3511 | 0.3778 | 0.3148 | 0.45 | 0.3999 | 0.3936 | 0.2722 | 0.5576 | 0.5112 | 0.7473 | 0.7473 | 0.8966 | 0.9811 | 0.6497 | 0.2082 |
aya-expanse-8b
|
CohereLabs
|
CohereLabs/aya-expanse-8b
| 0.6864 | 0.6226 | 0.569 | 0.808 | 0.7066 | 0.08 | 0.366 | 0.609 | 0.6667 | 0.6667 | 0.4286 | 0.875 | 0.6761 | 0.4675 | 0.6667 | 0.6667 | 0.4286 | 0.875 | 0.8534 | 0.9056 | 0.5466 | 0.6515 | 0.7644 | 0.4765 | 0.4824 | 0.4697 | 0.1538 | 0.1547 | 0.4261 | 0.3948 | 0.5825 | 0.4866 | 0.7041 | 0.5557 | 0.6046 | 0.5307 | 0.4967 | 0.4428 | 0.541 | 0.4929 | 0.4779 | 0.5775 | 0.6032 | 0.5518 | 0.7871 | 0.7871 | 0.8816 | 0.9958 | 0.6972 | 0.1552 |
Yi-1.5-9B-Chat
|
01-ai
|
01-ai/Yi-1.5-9B-Chat
| 0.5754 | 0.5355 | 0.5465 | 0.722 | 0.7104 | 0.188 | 0.266 | 0.63 | 0.7143 | 0.3333 | 0.4286 | 0.625 | 0.6761 | 0.4281 | 0.7143 | 0.3333 | 0.4286 | 0.625 | 0.8356 | 0.8911 | 0.3574 | 0.6396 | 0.7618 | 0.4624 | 0.1622 | 0.152 | 0.1231 | 0.1267 | 0.3423 | 0.3306 | 0.4771 | 0.4216 | 0.6326 | 0.5273 | 0.5472 | 0.4758 | 0.291 | 0.2751 | 0.4725 | 0.4396 | 0.485 | 0.2387 | 0.5194 | 0.4749 | 0.7683 | 0.7683 | 0.8786 | 0.9055 | 0.6696 | 0.1517 |
Hermes-3-Llama-3.1-8B
|
NousResearch
|
NousResearch/Hermes-3-Llama-3.1-8B
| 0.6987 | 0.6176 | 0.5742 | 0.834 | 0.7085 | 0 | 0.372 | 0.6035 | 0.619 | 0.5 | 0.4286 | 0.875 | 0.7606 | 0.4767 | 0.619 | 0.5 | 0.4286 | 0.875 | 0.8622 | 0.9133 | 0.573 | 0.6739 | 0.7108 | 0.4902 | 0.4655 | 0.4594 | 0.1916 | 0.1876 | 0.3648 | 0.3476 | 0.544 | 0.4953 | 0.6799 | 0.5588 | 0.5886 | 0.5248 | 0.4484 | 0.4051 | 0.5315 | 0.5014 | 0.5212 | 0.5112 | 0.5352 | 0.4872 | 0.8493 | 0.8493 | 0.8922 | 0.9937 | 0.7711 | 0.0663 |
Hunyuan-MT-7B
|
tencent
|
tencent/Hunyuan-MT-7B
| 0.5378 | 0.4844 | 0.5035 | 0.678 | 0.5983 | 0.024 | 0.304 | 0.5795 | 0.4286 | 0.3333 | 0.2857 | 0.625 | 0.5493 | 0.4068 | 0.4286 | 0.3333 | 0.2857 | 0.625 | 0.833 | 0.906 | 0.3616 | 0.4864 | 0.4696 | 0.3718 | 0.1036 | 0.1027 | 0.0475 | 0.0693 | 0.3956 | 0.385 | 0.3729 | 0.3377 | 0.2069 | 0.189 | 0.3558 | 0.3496 | 0.3279 | 0.2951 | 0.3966 | 0.3677 | 0.3262 | 0.1105 | 0.3849 | 0.2255 | 0.7301 | 0.7301 | 0.8805 | 0.9706 | 0.6247 | 0.2167 |
Apertus-8B-Instruct-2509
|
swiss-ai
|
swiss-ai/Apertus-8B-Instruct-2509
| 0.6838 | 0.6358 | 0.5898 | 0.842 | 0.7066 | 0.012 | 0.394 | 0.612 | 0.7143 | 0.6667 | 0.4286 | 0.875 | 0.6901 | 0.5076 | 0.7143 | 0.6667 | 0.4286 | 0.875 | 0.8675 | 0.9175 | 0.5355 | 0.6697 | 0.7526 | 0.4888 | 0.4799 | 0.4676 | 0.1815 | 0.1798 | 0.4324 | 0.3865 | 0.5834 | 0.4744 | 0.6915 | 0.5263 | 0.6142 | 0.4901 | 0.5079 | 0.4413 | 0.5396 | 0.4682 | 0.4969 | 0.5724 | 0.5987 | 0.5461 | 0.752 | 0.752 | 0.8848 | 0.979 | 0.6575 | 0.208 |
Seed-X-PPO-7B
|
ByteDance-Seed
|
ByteDance-Seed/Seed-X-PPO-7B
| 0.4226 | 0.571 | 0.5293 | 0.822 | 0.5907 | 0.044 | 0.358 | 0.6 | 0.6667 | 0.6667 | 0.2857 | 0.75 | 0.6479 | 0.4185 | 0.6667 | 0.6667 | 0.2857 | 0.75 | 0.779 | 0.8227 | 0.4353 | 0.5514 | 0.4397 | 0.3681 | 0.088 | 0.057 | 0.1687 | 0.1724 | 0.1897 | 0.1909 | 0.2328 | 0.2284 | 0.5919 | 0.5596 | 0.2512 | 0.2442 | 0.1275 | 0.127 | 0.2485 | 0.2447 | 0.2415 | 0.3206 | 0.5791 | 0.5413 | 0.2525 | 0.2525 | 0.932 | 0.1996 | 0.064 | 0.1855 |
gemma-3n-E4B-it
|
google
|
google/gemma-3n-E4B-it
| 0.6611 | 0.6412 | 0.5665 | 0.838 | 0.7189 | 0.124 | 0.388 | 0.6115 | 0.7143 | 0.6667 | 0.4286 | 1 | 0.6761 | 0.443 | 0.7143 | 0.6667 | 0.4286 | 1 | 0.8654 | 0.926 | 0.605 | 0.7152 | 0.7119 | 0.5198 | 0.3023 | 0.2677 | 0.178 | 0.1792 | 0.1806 | 0.1705 | 0.2381 | 0.2338 | 0.7052 | 0.5722 | 0.2628 | 0.2625 | 0.1334 | 0.1277 | 0.2602 | 0.256 | 0.2552 | 0.5616 | 0.5862 | 0.5371 | 0.8354 | 0.8354 | 0.8947 | 0.9811 | 0.7503 | 0.0727 |
Phi-4-mini-instruct
|
microsoft
|
microsoft/Phi-4-mini-instruct
| 0.5669 | 0.5082 | 0.5266 | 0.736 | 0.529 | 0.144 | 0.332 | 0.582 | 0.5238 | 0.3333 | 0.2857 | 0.625 | 0.6761 | 0.4747 | 0.5238 | 0.3333 | 0.2857 | 0.625 | 0.8227 | 0.8871 | 0.5188 | 0.6081 | 0.6872 | 0.4323 | 0.1871 | 0.1775 | 0.1477 | 0.1552 | 0.3596 | 0.3515 | 0.5061 | 0.4685 | 0.6646 | 0.5613 | 0.5763 | 0.5065 | 0.3016 | 0.2835 | 0.5025 | 0.4747 | 0.4955 | 0.2586 | 0.5453 | 0.4907 | 0.7495 | 0.7495 | 0.8956 | 0.9916 | 0.6539 | 0.2124 |
AFM-4.5B
|
arcee-ai
|
arcee-ai/AFM-4.5B
| 0.5892 | 0.528 | 0.5387 | 0.7 | 0.7132 | 0.052 | 0.304 | 0.6035 | 0.4286 | 0.3333 | 0.4286 | 0.5 | 0.7465 | 0.4225 | 0.4286 | 0.3333 | 0.4286 | 0.5 | 0.82 | 0.8719 | 0.4979 | 0.5598 | 0.7549 | 0.3977 | 0.262 | 0.2542 | 0.128 | 0.1236 | 0.234 | 0.1958 | 0.251 | 0.2365 | 0.485 | 0.4211 | 0.2698 | 0.274 | 0.1849 | 0.1844 | 0.269 | 0.2709 | 0.2845 | 0.3204 | 0.355 | 0.2858 | 0.7468 | 0.7468 | 0.8804 | 0.9727 | 0.6453 | 0.196 |
Hormoz-8B
|
mann-e
|
mann-e/Hormoz-8B
| 0.6179 | 0.6096 | 0.5709 | 0.814 | 0.7094 | 0.092 | 0.358 | 0.619 | 0.6667 | 0.6667 | 0.4286 | 0.75 | 0.6761 | 0.4643 | 0.6667 | 0.6667 | 0.4286 | 0.75 | 0.8565 | 0.909 | 0.5299 | 0.6431 | 0.7663 | 0.4811 | 0.2175 | 0.2023 | 0.154 | 0.1551 | 0.4285 | 0.3945 | 0.5789 | 0.4586 | 0.7038 | 0.559 | 0.5862 | 0.4954 | 0.4985 | 0.4409 | 0.5245 | 0.4555 | 0.426 | 0.3313 | 0.6041 | 0.5498 | 0.7881 | 0.7881 | 0.8792 | 0.9958 | 0.6985 | 0.1545 |
Seed-X-Instruct-7B
|
ByteDance-Seed
|
ByteDance-Seed/Seed-X-Instruct-7B
| 0.4279 | 0.5872 | 0.526 | 0.822 | 0.5954 | 0.032 | 0.352 | 0.5985 | 0.619 | 0.6667 | 0.4286 | 0.75 | 0.662 | 0.4092 | 0.619 | 0.6667 | 0.4286 | 0.75 | 0.7772 | 0.825 | 0.3755 | 0.5248 | 0.4397 | 0.354 | 0.0856 | 0.0561 | 0.1621 | 0.1644 | 0.1679 | 0.1663 | 0.2317 | 0.2263 | 0.5909 | 0.56 | 0.2493 | 0.2419 | 0.1253 | 0.1245 | 0.2467 | 0.2422 | 0.2399 | 0.3072 | 0.5809 | 0.5129 | 0.2615 | 0.2615 | 1 | 0.0273 | 0.0769 | 0.0252 |
AFM-4.5B
|
arcee-ai
|
arcee-ai/AFM-4.5B
| 0.589192 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Apertus-8B-Instruct-2509
|
swiss-ai
|
swiss-ai/Apertus-8B-Instruct-2509
| 0.683834 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
DeepSeek-R1-Distill-Llama-8B
|
deepseek-ai
|
deepseek-ai/DeepSeek-R1-Distill-Llama-8B
| 0.543268 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
DeepSeek-R1-Distill-Qwen-7B
|
deepseek-ai
|
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
| 0.503546 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Hermes-3-Llama-3.1-8B
|
NousResearch
|
NousResearch/Hermes-3-Llama-3.1-8B
| 0.69866 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Hormoz-8B
|
mann-e
|
mann-e/Hormoz-8B
| 0.617899 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Hunyuan-MT-7B
|
tencent
|
tencent/Hunyuan-MT-7B
| 0.537802 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Llama-3.1-8B-Instruct
|
meta-llama
|
meta-llama/Llama-3.1-8B-Instruct
| 0.617931 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Llama-3.2-3B-Instruct
|
meta-llama
|
meta-llama/Llama-3.2-3B-Instruct
| 0.55315 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Ministral-8B-Instruct-2410
|
mistralai
|
mistralai/Ministral-8B-Instruct-2410
| 0.672497 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Phi-4-mini-instruct
|
microsoft
|
microsoft/Phi-4-mini-instruct
| 0.566865 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Qwen3-4B-Instruct-2507
|
Qwen
|
Qwen/Qwen3-4B-Instruct-2507
| 0.626855 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Seed-X-Instruct-7B
|
ByteDance-Seed
|
ByteDance-Seed/Seed-X-Instruct-7B
| 0.427887 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Seed-X-PPO-7B
|
ByteDance-Seed
|
ByteDance-Seed/Seed-X-PPO-7B
| 0.422619 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Yi-1.5-6B-Chat
|
01-ai
|
01-ai/Yi-1.5-6B-Chat
| 0.545657 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Yi-1.5-9B-Chat
|
01-ai
|
01-ai/Yi-1.5-9B-Chat
| 0.575384 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
aya-expanse-8b
|
CohereLabs
|
CohereLabs/aya-expanse-8b
| 0.686363 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
gemma-3n-E2B-it
|
google
|
google/gemma-3n-E2B-it
| 0.594583 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
gemma-3n-E4B-it
|
google
|
google/gemma-3n-E4B-it
| 0.661055 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
zephyr-7b-beta
|
HuggingFaceH4
|
HuggingFaceH4/zephyr-7b-beta
| 0.654483 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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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