Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: InvalidConfigName
Message: Bad characters from black list '<>:/\|?*' found in 'erinya/weighted_rd_results__results'. They could create issues when creating a directory for this config on Windows filesystem.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 656, in get_module
builder_configs, default_config_name = create_builder_configs_from_metadata_configs(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 353, in create_builder_configs_from_metadata_configs
builder_config_cls(
File "<string>", line 18, in __init__
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 57, in __post_init__
super().__post_init__()
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 125, in __post_init__
raise InvalidConfigName(
datasets.builder.InvalidConfigName: Bad characters from black list '<>:/\|?*' found in 'erinya/weighted_rd_results__results'. They could create issues when creating a directory for this config on Windows filesystem.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.
Dataset Card for Evaluation run of erinya/weighted_rd_results
Dataset automatically created during the evaluation run of model erinya/weighted_rd_results The dataset is composed of 0 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 3 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
from datasets import load_dataset
data = load_dataset(
"erinya/weighted_rd_results",
name="erinya/weighted_rd_results__results",
split="latest"
)
Latest results
These are the latest results from run 2026-05-03T16-48-11.185306.json (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
{
"all": {
"arc_easy": {
"name": "arc_easy",
"alias": "arc_easy",
"sample_len": 2376,
"acc,none": 0.37373737373737376,
"acc_stderr,none": 0.009927267058259592,
"acc_norm,none": 0.3522727272727273,
"acc_norm_stderr,none": 0.009801753933112646
},
"arc_challenge": {
"name": "arc_challenge",
"alias": "arc_challenge",
"sample_len": 1172,
"acc,none": 0.2960750853242321,
"acc_stderr,none": 0.013340916085246126,
"acc_norm,none": 0.31313993174061433,
"acc_norm_stderr,none": 0.013552671543623438
},
"mmlu_abstract_algebra": {
"name": "mmlu_abstract_algebra",
"alias": "abstract_algebra",
"sample_len": 100,
"acc,none": 0.19,
"acc_stderr,none": 0.039427724440366255
},
"mmlu_anatomy": {
"name": "mmlu_anatomy",
"alias": "anatomy",
"sample_len": 135,
"acc,none": 0.18518518518518517,
"acc_stderr,none": 0.03355677216313144
},
"mmlu_astronomy": {
"name": "mmlu_astronomy",
"alias": "astronomy",
"sample_len": 152,
"acc,none": 0.23684210526315788,
"acc_stderr,none": 0.03459777606810534
},
"mmlu_college_biology": {
"name": "mmlu_college_biology",
"alias": "college_biology",
"sample_len": 144,
"acc,none": 0.2777777777777778,
"acc_stderr,none": 0.037455547914624555
},
"mmlu_college_chemistry": {
"name": "mmlu_college_chemistry",
"alias": "college_chemistry",
"sample_len": 100,
"acc,none": 0.19,
"acc_stderr,none": 0.039427724440366255
},
"mmlu_college_computer_science": {
"name": "mmlu_college_computer_science",
"alias": "college_computer_science",
"sample_len": 100,
"acc,none": 0.25,
"acc_stderr,none": 0.04351941398892446
},
"mmlu_college_mathematics": {
"name": "mmlu_college_mathematics",
"alias": "college_mathematics",
"sample_len": 100,
"acc,none": 0.21,
"acc_stderr,none": 0.040936018074033236
},
"mmlu_college_physics": {
"name": "mmlu_college_physics",
"alias": "college_physics",
"sample_len": 102,
"acc,none": 0.21568627450980393,
"acc_stderr,none": 0.04092563958237658
},
"mmlu_computer_security": {
"name": "mmlu_computer_security",
"alias": "computer_security",
"sample_len": 100,
"acc,none": 0.28,
"acc_stderr,none": 0.045126085985421296
},
"mmlu_conceptual_physics": {
"name": "mmlu_conceptual_physics",
"alias": "conceptual_physics",
"sample_len": 235,
"acc,none": 0.26382978723404255,
"acc_stderr,none": 0.028809989854102946
},
"mmlu_electrical_engineering": {
"name": "mmlu_electrical_engineering",
"alias": "electrical_engineering",
"sample_len": 145,
"acc,none": 0.2689655172413793,
"acc_stderr,none": 0.03695183311650232
},
"mmlu_elementary_mathematics": {
"name": "mmlu_elementary_mathematics",
"alias": "elementary_mathematics",
"sample_len": 378,
"acc,none": 0.21164021164021163,
"acc_stderr,none": 0.02103733150526295
},
"mmlu_high_school_biology": {
"name": "mmlu_high_school_biology",
"alias": "high_school_biology",
"sample_len": 310,
"acc,none": 0.1967741935483871,
"acc_stderr,none": 0.02261640942074208
},
"mmlu_high_school_chemistry": {
"name": "mmlu_high_school_chemistry",
"alias": "high_school_chemistry",
"sample_len": 203,
"acc,none": 0.1625615763546798,
"acc_stderr,none": 0.025960300064605635
},
"mmlu_high_school_computer_science": {
"name": "mmlu_high_school_computer_science",
"alias": "high_school_computer_science",
"sample_len": 100,
"acc,none": 0.25,
"acc_stderr,none": 0.04351941398892446
},
"mmlu_high_school_mathematics": {
"name": "mmlu_high_school_mathematics",
"alias": "high_school_mathematics",
"sample_len": 270,
"acc,none": 0.2111111111111111,
"acc_stderr,none": 0.02488211685765511
},
"mmlu_high_school_physics": {
"name": "mmlu_high_school_physics",
"alias": "high_school_physics",
"sample_len": 151,
"acc,none": 0.2052980132450331,
"acc_stderr,none": 0.032979866484738364
},
"mmlu_high_school_statistics": {
"name": "mmlu_high_school_statistics",
"alias": "high_school_statistics",
"sample_len": 216,
"acc,none": 0.1527777777777778,
"acc_stderr,none": 0.024536326026134234
},
"mmlu_machine_learning": {
"name": "mmlu_machine_learning",
"alias": "machine_learning",
"sample_len": 112,
"acc,none": 0.29464285714285715,
"acc_stderr,none": 0.043270409325787296
},
"mmlu_business_ethics": {
"name": "mmlu_business_ethics",
"alias": "business_ethics",
"sample_len": 100,
"acc,none": 0.3,
"acc_stderr,none": 0.04605661864718382
},
"mmlu_clinical_knowledge": {
"name": "mmlu_clinical_knowledge",
"alias": "clinical_knowledge",
"sample_len": 265,
"acc,none": 0.21132075471698114,
"acc_stderr,none": 0.0251257664848279
},
"mmlu_college_medicine": {
"name": "mmlu_college_medicine",
"alias": "college_medicine",
"sample_len": 173,
"acc,none": 0.2023121387283237,
"acc_stderr,none": 0.030631145539198767
},
"mmlu_global_facts": {
"name": "mmlu_global_facts",
"alias": "global_facts",
"sample_len": 100,
"acc,none": 0.17,
"acc_stderr,none": 0.03775251680686369
},
"mmlu_human_aging": {
"name": "mmlu_human_aging",
"alias": "human_aging",
"sample_len": 223,
"acc,none": 0.31390134529147984,
"acc_stderr,none": 0.031146796482972486
},
"mmlu_management": {
"name": "mmlu_management",
"alias": "management",
"sample_len": 103,
"acc,none": 0.17475728155339806,
"acc_stderr,none": 0.03760178006026618
},
"mmlu_marketing": {
"name": "mmlu_marketing",
"alias": "marketing",
"sample_len": 234,
"acc,none": 0.2905982905982906,
"acc_stderr,none": 0.029745048572674043
},
"mmlu_medical_genetics": {
"name": "mmlu_medical_genetics",
"alias": "medical_genetics",
"sample_len": 100,
"acc,none": 0.32,
"acc_stderr,none": 0.04688261722621507
},
"mmlu_miscellaneous": {
"name": "mmlu_miscellaneous",
"alias": "miscellaneous",
"sample_len": 783,
"acc,none": 0.23627075351213284,
"acc_stderr,none": 0.01519047371703751
},
"mmlu_nutrition": {
"name": "mmlu_nutrition",
"alias": "nutrition",
"sample_len": 306,
"acc,none": 0.21568627450980393,
"acc_stderr,none": 0.02355083135199512
},
"mmlu_professional_accounting": {
"name": "mmlu_professional_accounting",
"alias": "professional_accounting",
"sample_len": 282,
"acc,none": 0.2375886524822695,
"acc_stderr,none": 0.02538951255272987
},
"mmlu_professional_medicine": {
"name": "mmlu_professional_medicine",
"alias": "professional_medicine",
"sample_len": 272,
"acc,none": 0.19852941176470587,
"acc_stderr,none": 0.024231013370541114
},
"mmlu_virology": {
"name": "mmlu_virology",
"alias": "virology",
"sample_len": 166,
"acc,none": 0.28313253012048195,
"acc_stderr,none": 0.035072954313705176
},
"mmlu_econometrics": {
"name": "mmlu_econometrics",
"alias": "econometrics",
"sample_len": 114,
"acc,none": 0.22807017543859648,
"acc_stderr,none": 0.039471527826694136
},
"mmlu_high_school_geography": {
"name": "mmlu_high_school_geography",
"alias": "high_school_geography",
"sample_len": 198,
"acc,none": 0.17676767676767677,
"acc_stderr,none": 0.027178752639044908
},
"mmlu_high_school_government_and_politics": {
"name": "mmlu_high_school_government_and_politics",
"alias": "high_school_government_and_politics",
"sample_len": 193,
"acc,none": 0.23316062176165803,
"acc_stderr,none": 0.03051611137147603
},
"mmlu_high_school_macroeconomics": {
"name": "mmlu_high_school_macroeconomics",
"alias": "high_school_macroeconomics",
"sample_len": 390,
"acc,none": 0.23076923076923078,
"acc_stderr,none": 0.0213620277252227
},
"mmlu_high_school_microeconomics": {
"name": "mmlu_high_school_microeconomics",
"alias": "high_school_microeconomics",
"sample_len": 238,
"acc,none": 0.23529411764705882,
"acc_stderr,none": 0.02755361446786382
},
"mmlu_high_school_psychology": {
"name": "mmlu_high_school_psychology",
"alias": "high_school_psychology",
"sample_len": 545,
"acc,none": 0.1908256880733945,
"acc_stderr,none": 0.01684767640009113
},
"mmlu_human_sexuality": {
"name": "mmlu_human_sexuality",
"alias": "human_sexuality",
"sample_len": 131,
"acc,none": 0.2595419847328244,
"acc_stderr,none": 0.03844876139785267
},
"mmlu_professional_psychology": {
"name": "mmlu_professional_psychology",
"alias": "professional_psychology",
"sample_len": 612,
"acc,none": 0.25,
"acc_stderr,none": 0.01751781884501444
},
"mmlu_public_relations": {
"name": "mmlu_public_relations",
"alias": "public_relations",
"sample_len": 110,
"acc,none": 0.21818181818181817,
"acc_stderr,none": 0.03955932861795833
},
"mmlu_security_studies": {
"name": "mmlu_security_studies",
"alias": "security_studies",
"sample_len": 245,
"acc,none": 0.18775510204081633,
"acc_stderr,none": 0.025000256039546167
},
"mmlu_sociology": {
"name": "mmlu_sociology",
"alias": "sociology",
"sample_len": 201,
"acc,none": 0.24875621890547264,
"acc_stderr,none": 0.030567675938916686
},
"mmlu_us_foreign_policy": {
"name": "mmlu_us_foreign_policy",
"alias": "us_foreign_policy",
"sample_len": 100,
"acc,none": 0.27,
"acc_stderr,none": 0.04461960433384737
},
"mmlu_formal_logic": {
"name": "mmlu_formal_logic",
"alias": "formal_logic",
"sample_len": 126,
"acc,none": 0.25396825396825395,
"acc_stderr,none": 0.038932596106046706
},
"mmlu_high_school_european_history": {
"name": "mmlu_high_school_european_history",
"alias": "high_school_european_history",
"sample_len": 165,
"acc,none": 0.24242424242424243,
"acc_stderr,none": 0.03346409881055956
},
"mmlu_high_school_us_history": {
"name": "mmlu_high_school_us_history",
"alias": "high_school_us_history",
"sample_len": 204,
"acc,none": 0.31862745098039214,
"acc_stderr,none": 0.032702871814820796
},
"mmlu_high_school_world_history": {
"name": "mmlu_high_school_world_history",
"alias": "high_school_world_history",
"sample_len": 237,
"acc,none": 0.3333333333333333,
"acc_stderr,none": 0.03068582059661078
},
"mmlu_international_law": {
"name": "mmlu_international_law",
"alias": "international_law",
"sample_len": 121,
"acc,none": 0.23140495867768596,
"acc_stderr,none": 0.03849856098794088
},
"mmlu_jurisprudence": {
"name": "mmlu_jurisprudence",
"alias": "jurisprudence",
"sample_len": 108,
"acc,none": 0.25925925925925924,
"acc_stderr,none": 0.042365112580946315
},
"mmlu_logical_fallacies": {
"name": "mmlu_logical_fallacies",
"alias": "logical_fallacies",
"sample_len": 163,
"acc,none": 0.22085889570552147,
"acc_stderr,none": 0.032591773927421734
},
"mmlu_moral_disputes": {
"name": "mmlu_moral_disputes",
"alias": "moral_disputes",
"sample_len": 346,
"acc,none": 0.24855491329479767,
"acc_stderr,none": 0.023267528432100153
},
"mmlu_moral_scenarios": {
"name": "mmlu_moral_scenarios",
"alias": "moral_scenarios",
"sample_len": 895,
"acc,none": 0.23798882681564246,
"acc_stderr,none": 0.014242630070574904
},
"mmlu_philosophy": {
"name": "mmlu_philosophy",
"alias": "philosophy",
"sample_len": 311,
"acc,none": 0.1864951768488746,
"acc_stderr,none": 0.022122439772480733
},
"mmlu_prehistory": {
"name": "mmlu_prehistory",
"alias": "prehistory",
"sample_len": 324,
"acc,none": 0.21296296296296297,
"acc_stderr,none": 0.022779719088733413
},
"mmlu_professional_law": {
"name": "mmlu_professional_law",
"alias": "professional_law",
"sample_len": 1534,
"acc,none": 0.2503259452411995,
"acc_stderr,none": 0.011064151027165346
},
"mmlu_world_religions": {
"name": "mmlu_world_religions",
"alias": "world_religions",
"sample_len": 171,
"acc,none": 0.3216374269005848,
"acc_stderr,none": 0.03582529442573121
},
"gsm8k": {
"name": "gsm8k",
"alias": "gsm8k",
"sample_len": 1319,
"exact_match,strict-match": 0.0,
"exact_match_stderr,strict-match": 0.0,
"exact_match,flexible-extract": 0.1288855193328279,
"exact_match_stderr,flexible-extract": 0.009229580761400279
},
"wikitext": {
"name": "wikitext",
"alias": "wikitext",
"sample_len": 62,
"word_perplexity,none": 142.7228968592309,
"word_perplexity_stderr,none": "N/A",
"byte_perplexity,none": 2.5287219750443755,
"byte_perplexity_stderr,none": "N/A",
"bits_per_byte,none": 1.3384084259793887,
"bits_per_byte_stderr,none": "N/A"
},
"mmlu_stem": {
"alias": "stem",
"name": "mmlu_stem",
"sample_len": 3153,
"acc,none": 0.2185220424992071,
"acc_stderr,none": 0.007349214281918891,
"sample_count": {
"acc,none": 3153
}
},
"mmlu_other": {
"alias": "other",
"name": "mmlu_other",
"sample_len": 3107,
"acc,none": 0.23978113936272932,
"acc_stderr,none": 0.007640501818234404,
"sample_count": {
"acc,none": 3107
}
},
"mmlu_social_sciences": {
"alias": "social sciences",
"name": "mmlu_social_sciences",
"sample_len": 3077,
"acc,none": 0.22424439389015274,
"acc_stderr,none": 0.007517158730896199,
"sample_count": {
"acc,none": 3077
}
},
"mmlu_humanities": {
"alias": "humanities",
"name": "mmlu_humanities",
"sample_len": 4705,
"acc,none": 0.24930924548352817,
"acc_stderr,none": 0.006295892322338704,
"sample_count": {
"acc,none": 4705
}
},
"mmlu": {
"alias": "mmlu",
"name": "mmlu",
"sample_len": 14042,
"acc,none": 0.23479561316051845,
"acc_stderr,none": 0.00357004014360794,
"sample_count": {
"acc,none": 14042
}
}
},
"arc_easy": {
"name": "arc_easy",
"alias": "arc_easy",
"sample_len": 2376,
"acc,none": 0.37373737373737376,
"acc_stderr,none": 0.009927267058259592,
"acc_norm,none": 0.3522727272727273,
"acc_norm_stderr,none": 0.009801753933112646
},
"arc_challenge": {
"name": "arc_challenge",
"alias": "arc_challenge",
"sample_len": 1172,
"acc,none": 0.2960750853242321,
"acc_stderr,none": 0.013340916085246126,
"acc_norm,none": 0.31313993174061433,
"acc_norm_stderr,none": 0.013552671543623438
},
"mmlu_abstract_algebra": {
"name": "mmlu_abstract_algebra",
"alias": "abstract_algebra",
"sample_len": 100,
"acc,none": 0.19,
"acc_stderr,none": 0.039427724440366255
},
"mmlu_anatomy": {
"name": "mmlu_anatomy",
"alias": "anatomy",
"sample_len": 135,
"acc,none": 0.18518518518518517,
"acc_stderr,none": 0.03355677216313144
},
"mmlu_astronomy": {
"name": "mmlu_astronomy",
"alias": "astronomy",
"sample_len": 152,
"acc,none": 0.23684210526315788,
"acc_stderr,none": 0.03459777606810534
},
"mmlu_college_biology": {
"name": "mmlu_college_biology",
"alias": "college_biology",
"sample_len": 144,
"acc,none": 0.2777777777777778,
"acc_stderr,none": 0.037455547914624555
},
"mmlu_college_chemistry": {
"name": "mmlu_college_chemistry",
"alias": "college_chemistry",
"sample_len": 100,
"acc,none": 0.19,
"acc_stderr,none": 0.039427724440366255
},
"mmlu_college_computer_science": {
"name": "mmlu_college_computer_science",
"alias": "college_computer_science",
"sample_len": 100,
"acc,none": 0.25,
"acc_stderr,none": 0.04351941398892446
},
"mmlu_college_mathematics": {
"name": "mmlu_college_mathematics",
"alias": "college_mathematics",
"sample_len": 100,
"acc,none": 0.21,
"acc_stderr,none": 0.040936018074033236
},
"mmlu_college_physics": {
"name": "mmlu_college_physics",
"alias": "college_physics",
"sample_len": 102,
"acc,none": 0.21568627450980393,
"acc_stderr,none": 0.04092563958237658
},
"mmlu_computer_security": {
"name": "mmlu_computer_security",
"alias": "computer_security",
"sample_len": 100,
"acc,none": 0.28,
"acc_stderr,none": 0.045126085985421296
},
"mmlu_conceptual_physics": {
"name": "mmlu_conceptual_physics",
"alias": "conceptual_physics",
"sample_len": 235,
"acc,none": 0.26382978723404255,
"acc_stderr,none": 0.028809989854102946
},
"mmlu_electrical_engineering": {
"name": "mmlu_electrical_engineering",
"alias": "electrical_engineering",
"sample_len": 145,
"acc,none": 0.2689655172413793,
"acc_stderr,none": 0.03695183311650232
},
"mmlu_elementary_mathematics": {
"name": "mmlu_elementary_mathematics",
"alias": "elementary_mathematics",
"sample_len": 378,
"acc,none": 0.21164021164021163,
"acc_stderr,none": 0.02103733150526295
},
"mmlu_high_school_biology": {
"name": "mmlu_high_school_biology",
"alias": "high_school_biology",
"sample_len": 310,
"acc,none": 0.1967741935483871,
"acc_stderr,none": 0.02261640942074208
},
"mmlu_high_school_chemistry": {
"name": "mmlu_high_school_chemistry",
"alias": "high_school_chemistry",
"sample_len": 203,
"acc,none": 0.1625615763546798,
"acc_stderr,none": 0.025960300064605635
},
"mmlu_high_school_computer_science": {
"name": "mmlu_high_school_computer_science",
"alias": "high_school_computer_science",
"sample_len": 100,
"acc,none": 0.25,
"acc_stderr,none": 0.04351941398892446
},
"mmlu_high_school_mathematics": {
"name": "mmlu_high_school_mathematics",
"alias": "high_school_mathematics",
"sample_len": 270,
"acc,none": 0.2111111111111111,
"acc_stderr,none": 0.02488211685765511
},
"mmlu_high_school_physics": {
"name": "mmlu_high_school_physics",
"alias": "high_school_physics",
"sample_len": 151,
"acc,none": 0.2052980132450331,
"acc_stderr,none": 0.032979866484738364
},
"mmlu_high_school_statistics": {
"name": "mmlu_high_school_statistics",
"alias": "high_school_statistics",
"sample_len": 216,
"acc,none": 0.1527777777777778,
"acc_stderr,none": 0.024536326026134234
},
"mmlu_machine_learning": {
"name": "mmlu_machine_learning",
"alias": "machine_learning",
"sample_len": 112,
"acc,none": 0.29464285714285715,
"acc_stderr,none": 0.043270409325787296
},
"mmlu_business_ethics": {
"name": "mmlu_business_ethics",
"alias": "business_ethics",
"sample_len": 100,
"acc,none": 0.3,
"acc_stderr,none": 0.04605661864718382
},
"mmlu_clinical_knowledge": {
"name": "mmlu_clinical_knowledge",
"alias": "clinical_knowledge",
"sample_len": 265,
"acc,none": 0.21132075471698114,
"acc_stderr,none": 0.0251257664848279
},
"mmlu_college_medicine": {
"name": "mmlu_college_medicine",
"alias": "college_medicine",
"sample_len": 173,
"acc,none": 0.2023121387283237,
"acc_stderr,none": 0.030631145539198767
},
"mmlu_global_facts": {
"name": "mmlu_global_facts",
"alias": "global_facts",
"sample_len": 100,
"acc,none": 0.17,
"acc_stderr,none": 0.03775251680686369
},
"mmlu_human_aging": {
"name": "mmlu_human_aging",
"alias": "human_aging",
"sample_len": 223,
"acc,none": 0.31390134529147984,
"acc_stderr,none": 0.031146796482972486
},
"mmlu_management": {
"name": "mmlu_management",
"alias": "management",
"sample_len": 103,
"acc,none": 0.17475728155339806,
"acc_stderr,none": 0.03760178006026618
},
"mmlu_marketing": {
"name": "mmlu_marketing",
"alias": "marketing",
"sample_len": 234,
"acc,none": 0.2905982905982906,
"acc_stderr,none": 0.029745048572674043
},
"mmlu_medical_genetics": {
"name": "mmlu_medical_genetics",
"alias": "medical_genetics",
"sample_len": 100,
"acc,none": 0.32,
"acc_stderr,none": 0.04688261722621507
},
"mmlu_miscellaneous": {
"name": "mmlu_miscellaneous",
"alias": "miscellaneous",
"sample_len": 783,
"acc,none": 0.23627075351213284,
"acc_stderr,none": 0.01519047371703751
},
"mmlu_nutrition": {
"name": "mmlu_nutrition",
"alias": "nutrition",
"sample_len": 306,
"acc,none": 0.21568627450980393,
"acc_stderr,none": 0.02355083135199512
},
"mmlu_professional_accounting": {
"name": "mmlu_professional_accounting",
"alias": "professional_accounting",
"sample_len": 282,
"acc,none": 0.2375886524822695,
"acc_stderr,none": 0.02538951255272987
},
"mmlu_professional_medicine": {
"name": "mmlu_professional_medicine",
"alias": "professional_medicine",
"sample_len": 272,
"acc,none": 0.19852941176470587,
"acc_stderr,none": 0.024231013370541114
},
"mmlu_virology": {
"name": "mmlu_virology",
"alias": "virology",
"sample_len": 166,
"acc,none": 0.28313253012048195,
"acc_stderr,none": 0.035072954313705176
},
"mmlu_econometrics": {
"name": "mmlu_econometrics",
"alias": "econometrics",
"sample_len": 114,
"acc,none": 0.22807017543859648,
"acc_stderr,none": 0.039471527826694136
},
"mmlu_high_school_geography": {
"name": "mmlu_high_school_geography",
"alias": "high_school_geography",
"sample_len": 198,
"acc,none": 0.17676767676767677,
"acc_stderr,none": 0.027178752639044908
},
"mmlu_high_school_government_and_politics": {
"name": "mmlu_high_school_government_and_politics",
"alias": "high_school_government_and_politics",
"sample_len": 193,
"acc,none": 0.23316062176165803,
"acc_stderr,none": 0.03051611137147603
},
"mmlu_high_school_macroeconomics": {
"name": "mmlu_high_school_macroeconomics",
"alias": "high_school_macroeconomics",
"sample_len": 390,
"acc,none": 0.23076923076923078,
"acc_stderr,none": 0.0213620277252227
},
"mmlu_high_school_microeconomics": {
"name": "mmlu_high_school_microeconomics",
"alias": "high_school_microeconomics",
"sample_len": 238,
"acc,none": 0.23529411764705882,
"acc_stderr,none": 0.02755361446786382
},
"mmlu_high_school_psychology": {
"name": "mmlu_high_school_psychology",
"alias": "high_school_psychology",
"sample_len": 545,
"acc,none": 0.1908256880733945,
"acc_stderr,none": 0.01684767640009113
},
"mmlu_human_sexuality": {
"name": "mmlu_human_sexuality",
"alias": "human_sexuality",
"sample_len": 131,
"acc,none": 0.2595419847328244,
"acc_stderr,none": 0.03844876139785267
},
"mmlu_professional_psychology": {
"name": "mmlu_professional_psychology",
"alias": "professional_psychology",
"sample_len": 612,
"acc,none": 0.25,
"acc_stderr,none": 0.01751781884501444
},
"mmlu_public_relations": {
"name": "mmlu_public_relations",
"alias": "public_relations",
"sample_len": 110,
"acc,none": 0.21818181818181817,
"acc_stderr,none": 0.03955932861795833
},
"mmlu_security_studies": {
"name": "mmlu_security_studies",
"alias": "security_studies",
"sample_len": 245,
"acc,none": 0.18775510204081633,
"acc_stderr,none": 0.025000256039546167
},
"mmlu_sociology": {
"name": "mmlu_sociology",
"alias": "sociology",
"sample_len": 201,
"acc,none": 0.24875621890547264,
"acc_stderr,none": 0.030567675938916686
},
"mmlu_us_foreign_policy": {
"name": "mmlu_us_foreign_policy",
"alias": "us_foreign_policy",
"sample_len": 100,
"acc,none": 0.27,
"acc_stderr,none": 0.04461960433384737
},
"mmlu_formal_logic": {
"name": "mmlu_formal_logic",
"alias": "formal_logic",
"sample_len": 126,
"acc,none": 0.25396825396825395,
"acc_stderr,none": 0.038932596106046706
},
"mmlu_high_school_european_history": {
"name": "mmlu_high_school_european_history",
"alias": "high_school_european_history",
"sample_len": 165,
"acc,none": 0.24242424242424243,
"acc_stderr,none": 0.03346409881055956
},
"mmlu_high_school_us_history": {
"name": "mmlu_high_school_us_history",
"alias": "high_school_us_history",
"sample_len": 204,
"acc,none": 0.31862745098039214,
"acc_stderr,none": 0.032702871814820796
},
"mmlu_high_school_world_history": {
"name": "mmlu_high_school_world_history",
"alias": "high_school_world_history",
"sample_len": 237,
"acc,none": 0.3333333333333333,
"acc_stderr,none": 0.03068582059661078
},
"mmlu_international_law": {
"name": "mmlu_international_law",
"alias": "international_law",
"sample_len": 121,
"acc,none": 0.23140495867768596,
"acc_stderr,none": 0.03849856098794088
},
"mmlu_jurisprudence": {
"name": "mmlu_jurisprudence",
"alias": "jurisprudence",
"sample_len": 108,
"acc,none": 0.25925925925925924,
"acc_stderr,none": 0.042365112580946315
},
"mmlu_logical_fallacies": {
"name": "mmlu_logical_fallacies",
"alias": "logical_fallacies",
"sample_len": 163,
"acc,none": 0.22085889570552147,
"acc_stderr,none": 0.032591773927421734
},
"mmlu_moral_disputes": {
"name": "mmlu_moral_disputes",
"alias": "moral_disputes",
"sample_len": 346,
"acc,none": 0.24855491329479767,
"acc_stderr,none": 0.023267528432100153
},
"mmlu_moral_scenarios": {
"name": "mmlu_moral_scenarios",
"alias": "moral_scenarios",
"sample_len": 895,
"acc,none": 0.23798882681564246,
"acc_stderr,none": 0.014242630070574904
},
"mmlu_philosophy": {
"name": "mmlu_philosophy",
"alias": "philosophy",
"sample_len": 311,
"acc,none": 0.1864951768488746,
"acc_stderr,none": 0.022122439772480733
},
"mmlu_prehistory": {
"name": "mmlu_prehistory",
"alias": "prehistory",
"sample_len": 324,
"acc,none": 0.21296296296296297,
"acc_stderr,none": 0.022779719088733413
},
"mmlu_professional_law": {
"name": "mmlu_professional_law",
"alias": "professional_law",
"sample_len": 1534,
"acc,none": 0.2503259452411995,
"acc_stderr,none": 0.011064151027165346
},
"mmlu_world_religions": {
"name": "mmlu_world_religions",
"alias": "world_religions",
"sample_len": 171,
"acc,none": 0.3216374269005848,
"acc_stderr,none": 0.03582529442573121
},
"gsm8k": {
"name": "gsm8k",
"alias": "gsm8k",
"sample_len": 1319,
"exact_match,strict-match": 0.0,
"exact_match_stderr,strict-match": 0.0,
"exact_match,flexible-extract": 0.1288855193328279,
"exact_match_stderr,flexible-extract": 0.009229580761400279
},
"wikitext": {
"name": "wikitext",
"alias": "wikitext",
"sample_len": 62,
"word_perplexity,none": 142.7228968592309,
"word_perplexity_stderr,none": "N/A",
"byte_perplexity,none": 2.5287219750443755,
"byte_perplexity_stderr,none": "N/A",
"bits_per_byte,none": 1.3384084259793887,
"bits_per_byte_stderr,none": "N/A"
},
"mmlu_stem": {
"alias": "stem",
"name": "mmlu_stem",
"sample_len": 3153,
"acc,none": 0.2185220424992071,
"acc_stderr,none": 0.007349214281918891,
"sample_count": {
"acc,none": 3153
}
},
"mmlu_other": {
"alias": "other",
"name": "mmlu_other",
"sample_len": 3107,
"acc,none": 0.23978113936272932,
"acc_stderr,none": 0.007640501818234404,
"sample_count": {
"acc,none": 3107
}
},
"mmlu_social_sciences": {
"alias": "social sciences",
"name": "mmlu_social_sciences",
"sample_len": 3077,
"acc,none": 0.22424439389015274,
"acc_stderr,none": 0.007517158730896199,
"sample_count": {
"acc,none": 3077
}
},
"mmlu_humanities": {
"alias": "humanities",
"name": "mmlu_humanities",
"sample_len": 4705,
"acc,none": 0.24930924548352817,
"acc_stderr,none": 0.006295892322338704,
"sample_count": {
"acc,none": 4705
}
},
"mmlu": {
"alias": "mmlu",
"name": "mmlu",
"sample_len": 14042,
"acc,none": 0.23479561316051845,
"acc_stderr,none": 0.00357004014360794,
"sample_count": {
"acc,none": 14042
}
}
}
Dataset Details
Dataset Description
- Curated by: [More Information Needed]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
Dataset Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Dataset Structure
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Data Collection and Processing
[More Information Needed]
Who are the source data producers?
[More Information Needed]
Annotations [optional]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Dataset Card Authors [optional]
[More Information Needed]
Dataset Card Contact
[More Information Needed]
- Downloads last month
- 9,171