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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'versions' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 620, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'versions' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'versions' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1405, 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 1044, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
config_general
dict | results
dict | versions
dict | config_tasks
dict | summary_tasks
dict | summary_general
dict |
|---|---|---|---|---|---|
{
"model_name": "01-ai/Yi-1.5-34B-32K",
"model_dtype": "float16",
"model_size": 0
} | {
"harness-c_arc_challenge": {
"acc_norm": 58.02,
"acc_stderr": 0,
"c_arc_challenge_25shot_acc": 53.5,
"c_arc_challenge_25shot_acc_norm": 58.02
},
"harness-c_gsm8k": {
"acc": 0,
"acc_stderr": 0,
"c_gsm8k_5shot_acc": 0
},
"harness-c_hellaswag": {
"acc_norm": 67.48,
"acc_stderr": 0,
"c_hellaswag_10shot_acc": 49.28,
"c_hellaswag_10shot_acc_norm": 67.48
},
"harness-c-sem-v2": {
"acc": 88.8075,
"acc_stderr": 0,
"c_sem_v2-LLSRC_5shot_acc": 92.23,
"c_sem_v2-SLPWC_5shot_acc": 83.57,
"c_sem_v2-SLRFC_5shot_acc": 92.52,
"c_sem_v2-SLSRC_5shot_acc": 86.91,
"c_sem_v2-LLSRC_5shot_acc_norm": 92.23,
"c_sem_v2-SLPWC_5shot_acc_norm": 83.57,
"c_sem_v2-SLRFC_5shot_acc_norm": 92.52,
"c_sem_v2-SLSRC_5shot_acc_norm": 86.91
},
"harness-c_truthfulqa_mc": {
"mc2": 47.66,
"acc_stderr": 0,
"c_truthfulqa_mc_0shot_mc1": 26.32,
"c_truthfulqa_mc_0shot_mc2": 47.66
},
"harness-c_winogrande": {
"acc": 68.11,
"acc_stderr": 0,
"c_winogrande_0shot_acc": 68.11
},
"harness-cmmlu": {
"acc_norm": 70.96,
"acc_stderr": 0,
"cmmlu-anatomy_5shot_acc": 61.48,
"cmmlu_fullavg_5shot_acc": 70.96,
"cmmlu-virology_5shot_acc": 52.41,
"cmmlu-astronomy_5shot_acc": 82.24,
"cmmlu-marketing_5shot_acc": 88.89,
"cmmlu-nutrition_5shot_acc": 81.05,
"cmmlu-sociology_5shot_acc": 85.07,
"cmmlu-management_5shot_acc": 79.61,
"cmmlu-philosophy_5shot_acc": 70.1,
"cmmlu-prehistory_5shot_acc": 73.46,
"cmmlu-human_aging_5shot_acc": 72.65,
"cmmlu-econometrics_5shot_acc": 59.65,
"cmmlu-formal_logic_5shot_acc": 48,
"cmmlu-global_facts_5shot_acc": 48,
"cmmlu-jurisprudence_5shot_acc": 83.33,
"cmmlu-miscellaneous_5shot_acc": 80.08,
"cmmlu-moral_disputes_5shot_acc": 71.39,
"cmmlu-business_ethics_5shot_acc": 76,
"cmmlu-college_biology_5shot_acc": 69.44,
"cmmlu-college_physics_5shot_acc": 55.88,
"cmmlu-human_sexuality_5shot_acc": 74.05,
"cmmlu-moral_scenarios_5shot_acc": 51.51,
"cmmlu-world_religions_5shot_acc": 74.85,
"cmmlu-abstract_algebra_5shot_acc": 47,
"cmmlu-college_medicine_5shot_acc": 73.99,
"cmmlu-machine_learning_5shot_acc": 54.46,
"cmmlu-medical_genetics_5shot_acc": 73,
"cmmlu-professional_law_5shot_acc": 51.96,
"cmmlu-public_relations_5shot_acc": 70,
"cmmlu-security_studies_5shot_acc": 77.55,
"cmmlu-college_chemistry_5shot_acc": 56,
"cmmlu-computer_security_5shot_acc": 77,
"cmmlu-international_law_5shot_acc": 90.91,
"cmmlu-logical_fallacies_5shot_acc": 71.17,
"cmmlu-us_foreign_policy_5shot_acc": 85,
"cmmlu-clinical_knowledge_5shot_acc": 75.09,
"cmmlu-conceptual_physics_5shot_acc": 75.74,
"cmmlu-college_mathematics_5shot_acc": 45,
"cmmlu-high_school_biology_5shot_acc": 83.87,
"cmmlu-high_school_physics_5shot_acc": 53.64,
"cmmlu-high_school_chemistry_5shot_acc": 61.58,
"cmmlu-high_school_geography_5shot_acc": 81.31,
"cmmlu-professional_medicine_5shot_acc": 70.96,
"cmmlu-electrical_engineering_5shot_acc": 73.1,
"cmmlu-elementary_mathematics_5shot_acc": 69.58,
"cmmlu-high_school_psychology_5shot_acc": 83.12,
"cmmlu-high_school_statistics_5shot_acc": 68.52,
"cmmlu-high_school_us_history_5shot_acc": 87.75,
"cmmlu-high_school_mathematics_5shot_acc": 49.26,
"cmmlu-professional_accounting_5shot_acc": 56.38,
"cmmlu-professional_psychology_5shot_acc": 70.1,
"cmmlu-college_computer_science_5shot_acc": 67,
"cmmlu-high_school_world_history_5shot_acc": 84.81,
"cmmlu-high_school_macroeconomics_5shot_acc": 80,
"cmmlu-high_school_microeconomics_5shot_acc": 86.55,
"cmmlu-high_school_computer_science_5shot_acc": 83,
"cmmlu-high_school_european_history_5shot_acc": 81.21,
"cmmlu-high_school_government_and_politics_5shot_acc": 90.16,
"cmmlu-anatomy_5shot_acc_norm": 61.48,
"cmmlu_fullavg_5shot_acc_norm": 70.96,
"cmmlu-virology_5shot_acc_norm": 52.41,
"cmmlu-astronomy_5shot_acc_norm": 82.24,
"cmmlu-marketing_5shot_acc_norm": 88.89,
"cmmlu-nutrition_5shot_acc_norm": 81.05,
"cmmlu-sociology_5shot_acc_norm": 85.07,
"cmmlu-management_5shot_acc_norm": 79.61,
"cmmlu-philosophy_5shot_acc_norm": 70.1,
"cmmlu-prehistory_5shot_acc_norm": 73.46,
"cmmlu-human_aging_5shot_acc_norm": 72.65,
"cmmlu-econometrics_5shot_acc_norm": 59.65,
"cmmlu-formal_logic_5shot_acc_norm": 48,
"cmmlu-global_facts_5shot_acc_norm": 48,
"cmmlu-jurisprudence_5shot_acc_norm": 83.33,
"cmmlu-miscellaneous_5shot_acc_norm": 80.08,
"cmmlu-moral_disputes_5shot_acc_norm": 71.39,
"cmmlu-business_ethics_5shot_acc_norm": 76,
"cmmlu-college_biology_5shot_acc_norm": 69.44,
"cmmlu-college_physics_5shot_acc_norm": 55.88,
"cmmlu-human_sexuality_5shot_acc_norm": 74.05,
"cmmlu-moral_scenarios_5shot_acc_norm": 51.51,
"cmmlu-world_religions_5shot_acc_norm": 74.85,
"cmmlu-abstract_algebra_5shot_acc_norm": 47,
"cmmlu-college_medicine_5shot_acc_norm": 73.99,
"cmmlu-machine_learning_5shot_acc_norm": 54.46,
"cmmlu-medical_genetics_5shot_acc_norm": 73,
"cmmlu-professional_law_5shot_acc_norm": 51.96,
"cmmlu-public_relations_5shot_acc_norm": 70,
"cmmlu-security_studies_5shot_acc_norm": 77.55,
"cmmlu-college_chemistry_5shot_acc_norm": 56,
"cmmlu-computer_security_5shot_acc_norm": 77,
"cmmlu-international_law_5shot_acc_norm": 90.91,
"cmmlu-logical_fallacies_5shot_acc_norm": 71.17,
"cmmlu-us_foreign_policy_5shot_acc_norm": 85,
"cmmlu-clinical_knowledge_5shot_acc_norm": 75.09,
"cmmlu-conceptual_physics_5shot_acc_norm": 75.74,
"cmmlu-college_mathematics_5shot_acc_norm": 45,
"cmmlu-high_school_biology_5shot_acc_norm": 83.87,
"cmmlu-high_school_physics_5shot_acc_norm": 53.64,
"cmmlu-high_school_chemistry_5shot_acc_norm": 61.58,
"cmmlu-high_school_geography_5shot_acc_norm": 81.31,
"cmmlu-professional_medicine_5shot_acc_norm": 70.96,
"cmmlu-electrical_engineering_5shot_acc_norm": 73.1,
"cmmlu-elementary_mathematics_5shot_acc_norm": 69.58,
"cmmlu-high_school_psychology_5shot_acc_norm": 83.12,
"cmmlu-high_school_statistics_5shot_acc_norm": 68.52,
"cmmlu-high_school_us_history_5shot_acc_norm": 87.75,
"cmmlu-high_school_mathematics_5shot_acc_norm": 49.26,
"cmmlu-professional_accounting_5shot_acc_norm": 56.38,
"cmmlu-professional_psychology_5shot_acc_norm": 70.1,
"cmmlu-college_computer_science_5shot_acc_norm": 67,
"cmmlu-high_school_world_history_5shot_acc_norm": 84.81,
"cmmlu-high_school_macroeconomics_5shot_acc_norm": 80,
"cmmlu-high_school_microeconomics_5shot_acc_norm": 86.55,
"cmmlu-high_school_computer_science_5shot_acc_norm": 83,
"cmmlu-high_school_european_history_5shot_acc_norm": 81.21,
"cmmlu-high_school_government_and_politics_5shot_acc_norm": 90.16
}
} | {} | {} | {} | {} |
{
"model_name": "01-ai/Yi-1.5-34B-Chat-16K",
"model_dtype": "float16",
"model_size": 0
} | {
"harness-c_arc_challenge": {
"acc_norm": 63.74,
"acc_stderr": 0,
"c_arc_challenge_25shot_acc": 57.68,
"c_arc_challenge_25shot_acc_norm": 63.74
},
"harness-c_gsm8k": {
"acc": 66.72,
"acc_stderr": 0,
"c_gsm8k_5shot_acc": 66.72
},
"harness-c_hellaswag": {
"acc_norm": 69.35,
"acc_stderr": 0,
"c_hellaswag_10shot_acc": 50.67,
"c_hellaswag_10shot_acc_norm": 69.35
},
"harness-c-sem-v2": {
"acc": 90.095,
"acc_stderr": 0,
"c_sem_v2-LLSRC_5shot_acc": 93.81,
"c_sem_v2-SLPWC_5shot_acc": 85.71,
"c_sem_v2-SLRFC_5shot_acc": 93.09,
"c_sem_v2-SLSRC_5shot_acc": 87.77,
"c_sem_v2-LLSRC_5shot_acc_norm": 93.81,
"c_sem_v2-SLPWC_5shot_acc_norm": 85.71,
"c_sem_v2-SLRFC_5shot_acc_norm": 93.09,
"c_sem_v2-SLSRC_5shot_acc_norm": 87.77
},
"harness-c_truthfulqa_mc": {
"mc2": 54.54,
"acc_stderr": 0,
"c_truthfulqa_mc_0shot_mc1": 32.93,
"c_truthfulqa_mc_0shot_mc2": 54.54
},
"harness-c_winogrande": {
"acc": 69.53,
"acc_stderr": 0,
"c_winogrande_0shot_acc": 69.53
},
"CLCC-H": {
"acc": 0.5127,
"acc_stderr": 0
},
"harness-cmmlu": {
"acc_norm": 70.03,
"acc_stderr": 0,
"cmmlu_fullavg_5shot_acc": 70.03,
"cmmlu-virology_5shot_acc": 52.41,
"cmmlu-nutrition_5shot_acc": 80.07,
"cmmlu-sociology_5shot_acc": 82.59,
"cmmlu-philosophy_5shot_acc": 68.81,
"cmmlu-prehistory_5shot_acc": 72.53,
"cmmlu-moral_disputes_5shot_acc": 71.97,
"cmmlu-moral_scenarios_5shot_acc": 60.56,
"cmmlu-world_religions_5shot_acc": 75.44,
"cmmlu-professional_law_5shot_acc": 52.61,
"cmmlu-public_relations_5shot_acc": 71.82,
"cmmlu-security_studies_5shot_acc": 75.51,
"cmmlu-us_foreign_policy_5shot_acc": 86,
"cmmlu-professional_medicine_5shot_acc": 72.43,
"cmmlu-professional_accounting_5shot_acc": 57.09,
"cmmlu-professional_psychology_5shot_acc": 70.59,
"cmmlu_fullavg_5shot_acc_norm": 70.03,
"cmmlu-virology_5shot_acc_norm": 52.41,
"cmmlu-nutrition_5shot_acc_norm": 80.07,
"cmmlu-sociology_5shot_acc_norm": 82.59,
"cmmlu-philosophy_5shot_acc_norm": 68.81,
"cmmlu-prehistory_5shot_acc_norm": 72.53,
"cmmlu-moral_disputes_5shot_acc_norm": 71.97,
"cmmlu-moral_scenarios_5shot_acc_norm": 60.56,
"cmmlu-world_religions_5shot_acc_norm": 75.44,
"cmmlu-professional_law_5shot_acc_norm": 52.61,
"cmmlu-public_relations_5shot_acc_norm": 71.82,
"cmmlu-security_studies_5shot_acc_norm": 75.51,
"cmmlu-us_foreign_policy_5shot_acc_norm": 86,
"cmmlu-professional_medicine_5shot_acc_norm": 72.43,
"cmmlu-professional_accounting_5shot_acc_norm": 57.09,
"cmmlu-professional_psychology_5shot_acc_norm": 70.59
}
} | {} | {} | {} | {} |
{
"model_name": "01-ai/Yi-1.5-34B-Chat",
"model_dtype": "float16",
"model_size": 0
} | {
"harness-c_arc_challenge": {
"acc_norm": 61.6,
"acc_stderr": 0,
"c_arc_challenge_25shot_acc": 56.66,
"c_arc_challenge_25shot_acc_norm": 61.6
},
"harness-c_gsm8k": {
"acc": 68.31,
"acc_stderr": 0,
"c_gsm8k_5shot_acc": 68.31
},
"harness-c_hellaswag": {
"acc_norm": 66.95,
"acc_stderr": 0,
"c_hellaswag_10shot_acc": 49.69,
"c_hellaswag_10shot_acc_norm": 66.95
},
"harness-c-sem-v2": {
"acc": 87.4375,
"acc_stderr": 0,
"c_sem_v2-LLSRC_5shot_acc": 91.08,
"c_sem_v2-SLPWC_5shot_acc": 84.14,
"c_sem_v2-SLRFC_5shot_acc": 91.22,
"c_sem_v2-SLSRC_5shot_acc": 83.31,
"c_sem_v2-LLSRC_5shot_acc_norm": 91.08,
"c_sem_v2-SLPWC_5shot_acc_norm": 84.14,
"c_sem_v2-SLRFC_5shot_acc_norm": 91.22,
"c_sem_v2-SLSRC_5shot_acc_norm": 83.31
},
"harness-c_truthfulqa_mc": {
"mc2": 56.28,
"acc_stderr": 0,
"c_truthfulqa_mc_0shot_mc1": 33.29,
"c_truthfulqa_mc_0shot_mc2": 56.28
},
"harness-c_winogrande": {
"acc": 68.27,
"acc_stderr": 0,
"c_winogrande_0shot_acc": 68.27
},
"CLCC-H": {
"acc": 0.742,
"acc_stderr": 0
},
"harness-cmmlu": {
"acc_norm": 68.31,
"acc_stderr": 0,
"cmmlu-anatomy_5shot_acc": 65.19,
"cmmlu_fullavg_5shot_acc": 68.31,
"cmmlu-virology_5shot_acc": 53.01,
"cmmlu-astronomy_5shot_acc": 80.92,
"cmmlu-marketing_5shot_acc": 86.32,
"cmmlu-nutrition_5shot_acc": 75.82,
"cmmlu-sociology_5shot_acc": 80.6,
"cmmlu-management_5shot_acc": 76.7,
"cmmlu-philosophy_5shot_acc": 69.77,
"cmmlu-prehistory_5shot_acc": 72.22,
"cmmlu-human_aging_5shot_acc": 71.3,
"cmmlu-econometrics_5shot_acc": 51.75,
"cmmlu-formal_logic_5shot_acc": 44.8,
"cmmlu-global_facts_5shot_acc": 50,
"cmmlu-jurisprudence_5shot_acc": 76.85,
"cmmlu-miscellaneous_5shot_acc": 76.76,
"cmmlu-moral_disputes_5shot_acc": 67.92,
"cmmlu-business_ethics_5shot_acc": 68,
"cmmlu-college_biology_5shot_acc": 70.83,
"cmmlu-college_physics_5shot_acc": 55.88,
"cmmlu-human_sexuality_5shot_acc": 68.7,
"cmmlu-moral_scenarios_5shot_acc": 50.28,
"cmmlu-world_religions_5shot_acc": 76.02,
"cmmlu-abstract_algebra_5shot_acc": 49,
"cmmlu-college_medicine_5shot_acc": 70.52,
"cmmlu-machine_learning_5shot_acc": 47.32,
"cmmlu-medical_genetics_5shot_acc": 75,
"cmmlu-professional_law_5shot_acc": 49.22,
"cmmlu-public_relations_5shot_acc": 66.36,
"cmmlu-security_studies_5shot_acc": 73.47,
"cmmlu-college_chemistry_5shot_acc": 53,
"cmmlu-computer_security_5shot_acc": 76,
"cmmlu-international_law_5shot_acc": 83.47,
"cmmlu-logical_fallacies_5shot_acc": 65.03,
"cmmlu-us_foreign_policy_5shot_acc": 85,
"cmmlu-clinical_knowledge_5shot_acc": 69.43,
"cmmlu-conceptual_physics_5shot_acc": 71.49,
"cmmlu-college_mathematics_5shot_acc": 44,
"cmmlu-high_school_biology_5shot_acc": 81.61,
"cmmlu-high_school_physics_5shot_acc": 56.29,
"cmmlu-high_school_chemistry_5shot_acc": 58.62,
"cmmlu-high_school_geography_5shot_acc": 79.29,
"cmmlu-professional_medicine_5shot_acc": 71.32,
"cmmlu-electrical_engineering_5shot_acc": 64.83,
"cmmlu-elementary_mathematics_5shot_acc": 68.25,
"cmmlu-high_school_psychology_5shot_acc": 82.02,
"cmmlu-high_school_statistics_5shot_acc": 65.28,
"cmmlu-high_school_us_history_5shot_acc": 80.88,
"cmmlu-high_school_mathematics_5shot_acc": 50,
"cmmlu-professional_accounting_5shot_acc": 52.84,
"cmmlu-professional_psychology_5shot_acc": 68.3,
"cmmlu-college_computer_science_5shot_acc": 60,
"cmmlu-high_school_world_history_5shot_acc": 84.39,
"cmmlu-high_school_macroeconomics_5shot_acc": 76.92,
"cmmlu-high_school_microeconomics_5shot_acc": 84.45,
"cmmlu-high_school_computer_science_5shot_acc": 82,
"cmmlu-high_school_european_history_5shot_acc": 75.76,
"cmmlu-high_school_government_and_politics_5shot_acc": 82.9,
"cmmlu-anatomy_5shot_acc_norm": 65.19,
"cmmlu_fullavg_5shot_acc_norm": 68.31,
"cmmlu-virology_5shot_acc_norm": 53.01,
"cmmlu-astronomy_5shot_acc_norm": 80.92,
"cmmlu-marketing_5shot_acc_norm": 86.32,
"cmmlu-nutrition_5shot_acc_norm": 75.82,
"cmmlu-sociology_5shot_acc_norm": 80.6,
"cmmlu-management_5shot_acc_norm": 76.7,
"cmmlu-philosophy_5shot_acc_norm": 69.77,
"cmmlu-prehistory_5shot_acc_norm": 72.22,
"cmmlu-human_aging_5shot_acc_norm": 71.3,
"cmmlu-econometrics_5shot_acc_norm": 51.75,
"cmmlu-formal_logic_5shot_acc_norm": 44.8,
"cmmlu-global_facts_5shot_acc_norm": 50,
"cmmlu-jurisprudence_5shot_acc_norm": 76.85,
"cmmlu-miscellaneous_5shot_acc_norm": 76.76,
"cmmlu-moral_disputes_5shot_acc_norm": 67.92,
"cmmlu-business_ethics_5shot_acc_norm": 68,
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