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Parent(s):
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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of jondurbin/airoboros-13b-gpt4
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [jondurbin/airoboros-13b-gpt4](https://huggingface.co/jondurbin/airoboros-13b-gpt4)\
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of
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\ evaluated task.\n\nThe dataset has been created from
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\ found as a specific split in each configuration, the split being named using the\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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\nAn additional configuration \"results\" store all the aggregated results of the\
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@@ -12,172 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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\nTo load the details from a run, you can for instance do the following:\n```python\n\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4\"\
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,\n\t\"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4666666666666667,\n\
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\ \"acc_stderr\": 0.043097329010363554,\n \"acc_norm\": 0.4666666666666667,\n\
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\ \"acc_norm_stderr\": 0.043097329010363554\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.47368421052631576,\n \"acc_stderr\": 0.04063302731486671,\n\
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\ \"acc_norm\": 0.47368421052631576,\n \"acc_norm_stderr\": 0.04063302731486671\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
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\ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n \
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\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.5018867924528302,\n \"acc_stderr\": 0.03077265364207567,\n\
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\ \"acc_norm\": 0.5018867924528302,\n \"acc_norm_stderr\": 0.03077265364207567\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4861111111111111,\n\
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\ \"acc_stderr\": 0.04179596617581,\n \"acc_norm\": 0.4861111111111111,\n\
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\ \"acc_norm_stderr\": 0.04179596617581\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \
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\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\
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\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.42,\n\
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\ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n \
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\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
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\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4393063583815029,\n\
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\ \"acc_stderr\": 0.03784271932887467,\n \"acc_norm\": 0.4393063583815029,\n\
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\ \"acc_norm_stderr\": 0.03784271932887467\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
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\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\": 0.66,\n\
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\ \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.39574468085106385,\n \"acc_stderr\": 0.031967586978353627,\n\
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\ \"acc_norm\": 0.39574468085106385,\n \"acc_norm_stderr\": 0.031967586978353627\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2894736842105263,\n\
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\ \"acc_stderr\": 0.04266339443159394,\n \"acc_norm\": 0.2894736842105263,\n\
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\ \"acc_norm_stderr\": 0.04266339443159394\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.46206896551724136,\n \"acc_stderr\": 0.04154659671707546,\n\
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\ \"acc_norm\": 0.46206896551724136,\n \"acc_norm_stderr\": 0.04154659671707546\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.2566137566137566,\n \"acc_stderr\": 0.022494510767503154,\n \"\
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acc_norm\": 0.2566137566137566,\n \"acc_norm_stderr\": 0.022494510767503154\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.35714285714285715,\n\
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\ \"acc_stderr\": 0.04285714285714281,\n \"acc_norm\": 0.35714285714285715,\n\
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\ \"acc_norm_stderr\": 0.04285714285714281\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
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\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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: 0.5451612903225806,\n \"acc_stderr\": 0.02832774309156106,\n \"\
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acc_norm\": 0.5451612903225806,\n \"acc_norm_stderr\": 0.02832774309156106\n\
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\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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: 0.3497536945812808,\n \"acc_stderr\": 0.03355400904969565,\n \"\
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acc_norm\": 0.3497536945812808,\n \"acc_norm_stderr\": 0.03355400904969565\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\"\
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: 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.23636363636363636,\n \"acc_stderr\": 0.033175059300091805,\n\
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\ \"acc_norm\": 0.23636363636363636,\n \"acc_norm_stderr\": 0.033175059300091805\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.5353535353535354,\n \"acc_stderr\": 0.035534363688280626,\n \"\
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acc_norm\": 0.5353535353535354,\n \"acc_norm_stderr\": 0.035534363688280626\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.6528497409326425,\n \"acc_stderr\": 0.034356961683613546,\n\
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\ \"acc_norm\": 0.6528497409326425,\n \"acc_norm_stderr\": 0.034356961683613546\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.46923076923076923,\n \"acc_stderr\": 0.02530295889085015,\n\
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\ \"acc_norm\": 0.46923076923076923,\n \"acc_norm_stderr\": 0.02530295889085015\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.23703703703703705,\n \"acc_stderr\": 0.025928876132766114,\n \
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\ \"acc_norm\": 0.23703703703703705,\n \"acc_norm_stderr\": 0.025928876132766114\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.47058823529411764,\n \"acc_stderr\": 0.03242225027115006,\n\
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\ \"acc_norm\": 0.47058823529411764,\n \"acc_norm_stderr\": 0.03242225027115006\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.26490066225165565,\n \"acc_stderr\": 0.036030385453603826,\n \"\
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acc_norm\": 0.26490066225165565,\n \"acc_norm_stderr\": 0.036030385453603826\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.6458715596330276,\n \"acc_stderr\": 0.020504729013829125,\n \"\
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acc_norm\": 0.6458715596330276,\n \"acc_norm_stderr\": 0.020504729013829125\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.2962962962962963,\n \"acc_stderr\": 0.031141447823536023,\n \"\
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acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.031141447823536023\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.25,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.25,\n\
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\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
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: {\n \"acc\": 0.7257383966244726,\n \"acc_stderr\": 0.02904133351059804,\n\
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\ \"acc_norm\": 0.7257383966244726,\n \"acc_norm_stderr\": 0.02904133351059804\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5515695067264574,\n\
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\ \"acc_stderr\": 0.03337883736255098,\n \"acc_norm\": 0.5515695067264574,\n\
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\ \"acc_norm_stderr\": 0.03337883736255098\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5725190839694656,\n \"acc_stderr\": 0.04338920305792401,\n\
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\ \"acc_norm\": 0.5725190839694656,\n \"acc_norm_stderr\": 0.04338920305792401\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.6528925619834711,\n \"acc_stderr\": 0.043457245702925335,\n \"\
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acc_norm\": 0.6528925619834711,\n \"acc_norm_stderr\": 0.043457245702925335\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5277777777777778,\n\
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\ \"acc_stderr\": 0.04826217294139894,\n \"acc_norm\": 0.5277777777777778,\n\
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\ \"acc_norm_stderr\": 0.04826217294139894\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.5766871165644172,\n \"acc_stderr\": 0.03881891213334383,\n\
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\ \"acc_norm\": 0.5766871165644172,\n \"acc_norm_stderr\": 0.03881891213334383\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3482142857142857,\n\
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\ \"acc_stderr\": 0.04521829902833587,\n \"acc_norm\": 0.3482142857142857,\n\
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\ \"acc_norm_stderr\": 0.04521829902833587\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6893203883495146,\n \"acc_stderr\": 0.0458212416016155,\n\
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\ \"acc_norm\": 0.6893203883495146,\n \"acc_norm_stderr\": 0.0458212416016155\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7393162393162394,\n\
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\ \"acc_stderr\": 0.02876034895652341,\n \"acc_norm\": 0.7393162393162394,\n\
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\ \"acc_norm_stderr\": 0.02876034895652341\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \
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\ \"acc_norm\": 0.58,\n \"acc_norm_stderr\": 0.04960449637488583\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6794380587484036,\n\
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\ \"acc_stderr\": 0.01668889331080376,\n \"acc_norm\": 0.6794380587484036,\n\
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\ \"acc_norm_stderr\": 0.01668889331080376\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.5144508670520231,\n \"acc_stderr\": 0.026907849856282532,\n\
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\ \"acc_norm\": 0.5144508670520231,\n \"acc_norm_stderr\": 0.026907849856282532\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2636871508379888,\n\
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\ \"acc_stderr\": 0.014736926383761985,\n \"acc_norm\": 0.2636871508379888,\n\
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\ \"acc_norm_stderr\": 0.014736926383761985\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.5359477124183006,\n \"acc_stderr\": 0.028555827516528784,\n\
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\ \"acc_norm\": 0.5359477124183006,\n \"acc_norm_stderr\": 0.028555827516528784\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5434083601286174,\n\
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\ \"acc_stderr\": 0.028290869054197608,\n \"acc_norm\": 0.5434083601286174,\n\
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\ \"acc_norm_stderr\": 0.028290869054197608\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.5462962962962963,\n \"acc_stderr\": 0.0277012284685426,\n\
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\ \"acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.0277012284685426\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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acc\": 0.35815602836879434,\n \"acc_stderr\": 0.028602085862759422,\n \
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\ \"acc_norm\": 0.35815602836879434,\n \"acc_norm_stderr\": 0.028602085862759422\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3963494132985658,\n\
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\ \"acc_stderr\": 0.012492830452095222,\n \"acc_norm\": 0.3963494132985658,\n\
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\ \"acc_norm_stderr\": 0.012492830452095222\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.5257352941176471,\n \"acc_stderr\": 0.030332578094555026,\n\
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\ \"acc_norm\": 0.5257352941176471,\n \"acc_norm_stderr\": 0.030332578094555026\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.5228758169934641,\n \"acc_stderr\": 0.020206653187884786,\n \
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\ \"acc_norm\": 0.5228758169934641,\n \"acc_norm_stderr\": 0.020206653187884786\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5636363636363636,\n\
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\ \"acc_stderr\": 0.04750185058907296,\n \"acc_norm\": 0.5636363636363636,\n\
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\ \"acc_norm_stderr\": 0.04750185058907296\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.5142857142857142,\n \"acc_stderr\": 0.03199615232806286,\n\
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\ \"acc_norm\": 0.5142857142857142,\n \"acc_norm_stderr\": 0.03199615232806286\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6368159203980099,\n\
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\ \"acc_stderr\": 0.03400598505599014,\n \"acc_norm\": 0.6368159203980099,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.03400598505599014\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \
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\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42771084337349397,\n\
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\ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.42771084337349397,\n\
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\ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.03565079670708312,\n\
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\ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.03565079670708312\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3072215422276622,\n\
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\ \"mc1_stderr\": 0.016150201321323013,\n \"mc2\": 0.47650415239645905,\n\
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\ \"mc2_stderr\": 0.015250263669871788\n }\n}\n```"
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repo_url: https://huggingface.co/jondurbin/airoboros-13b-gpt4
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-08-18T14:07:58.585031.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_08_18T14_07_58.585031
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-08-18T14:07:58.585031.parquet'
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- config_name: results
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data_files:
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- split: 2023_08_18T14_07_58.585031
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path:
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- results_2023-08-18T14:07:58.585031.parquet
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- split: latest
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path:
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-
- results_2023-
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---
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# Dataset Card for Evaluation run of jondurbin/airoboros-13b-gpt4
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@@ -806,9 +681,9 @@ configs:
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| 807 |
Dataset automatically created during the evaluation run of model [jondurbin/airoboros-13b-gpt4](https://huggingface.co/jondurbin/airoboros-13b-gpt4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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The dataset is composed of
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The dataset has been created from
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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```python
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4",
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"
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| 820 |
split="train")
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| 821 |
```
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| 822 |
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| 823 |
## Latest results
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| 824 |
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| 825 |
-
These are the [latest results from run 2023-
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| 826 |
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| 827 |
```python
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{
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"all": {
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-
"
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"
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"
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"
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"
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-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.35,
|
| 853 |
-
"acc_stderr": 0.047937248544110196,
|
| 854 |
-
"acc_norm": 0.35,
|
| 855 |
-
"acc_norm_stderr": 0.047937248544110196
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.4666666666666667,
|
| 859 |
-
"acc_stderr": 0.043097329010363554,
|
| 860 |
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"acc_norm": 0.4666666666666667,
|
| 861 |
-
"acc_norm_stderr": 0.043097329010363554
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.47368421052631576,
|
| 865 |
-
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| 866 |
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"acc_norm": 0.47368421052631576,
|
| 867 |
-
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|
| 868 |
-
},
|
| 869 |
-
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|
| 870 |
-
"acc": 0.53,
|
| 871 |
-
"acc_stderr": 0.050161355804659205,
|
| 872 |
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"acc_norm": 0.53,
|
| 873 |
-
"acc_norm_stderr": 0.050161355804659205
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.5018867924528302,
|
| 877 |
-
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|
| 878 |
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"acc_norm": 0.5018867924528302,
|
| 879 |
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|
| 880 |
-
},
|
| 881 |
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"harness|hendrycksTest-college_biology|5": {
|
| 882 |
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|
| 883 |
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|
| 884 |
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"acc_norm": 0.4861111111111111,
|
| 885 |
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"acc_norm_stderr": 0.04179596617581
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
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"acc": 0.37,
|
| 889 |
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"acc_stderr": 0.048523658709391,
|
| 890 |
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"acc_norm": 0.37,
|
| 891 |
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"acc_norm_stderr": 0.048523658709391
|
| 892 |
-
},
|
| 893 |
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"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
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"acc": 0.42,
|
| 895 |
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"acc_stderr": 0.049604496374885836,
|
| 896 |
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"acc_norm": 0.42,
|
| 897 |
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"acc_norm_stderr": 0.049604496374885836
|
| 898 |
-
},
|
| 899 |
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"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.31,
|
| 901 |
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|
| 902 |
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"acc_norm": 0.31,
|
| 903 |
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"acc_norm_stderr": 0.04648231987117316
|
| 904 |
-
},
|
| 905 |
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"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
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"acc": 0.4393063583815029,
|
| 907 |
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|
| 909 |
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|
| 910 |
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|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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|
| 913 |
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| 915 |
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|
| 916 |
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|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
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"acc": 0.66,
|
| 919 |
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|
| 920 |
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"acc_norm": 0.66,
|
| 921 |
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|
| 922 |
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},
|
| 923 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
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|
| 925 |
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| 927 |
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|
| 928 |
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|
| 929 |
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|
| 930 |
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|
| 931 |
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|
| 934 |
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|
| 935 |
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|
| 936 |
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|
| 940 |
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|
| 941 |
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|
| 942 |
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|
| 943 |
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|
| 946 |
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|
| 947 |
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|
| 948 |
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|
| 949 |
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| 950 |
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| 951 |
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|
| 952 |
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|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
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|
| 955 |
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|
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| 958 |
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|
| 959 |
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|
| 960 |
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| 964 |
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| 965 |
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| 967 |
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| 970 |
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| 971 |
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| 975 |
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| 976 |
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|
| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
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|
| 979 |
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| 981 |
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|
| 982 |
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|
| 983 |
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|
| 984 |
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| 985 |
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| 987 |
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|
| 988 |
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},
|
| 989 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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|
| 991 |
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| 994 |
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},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
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| 997 |
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|
| 999 |
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|
| 1000 |
-
},
|
| 1001 |
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|
| 1002 |
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| 1003 |
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| 1005 |
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|
| 1006 |
-
},
|
| 1007 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
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| 1009 |
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| 1011 |
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| 1012 |
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|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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| 1017 |
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| 1018 |
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| 1019 |
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|
| 1020 |
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|
| 1021 |
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|
| 1024 |
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| 1025 |
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|
| 1026 |
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|
| 1027 |
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| 1029 |
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|
| 1030 |
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|
| 1031 |
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|
| 1032 |
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|
| 1033 |
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|
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|
| 1035 |
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|
| 1036 |
-
},
|
| 1037 |
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"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
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|
| 1039 |
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| 1041 |
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| 1042 |
-
},
|
| 1043 |
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|
| 1044 |
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|
| 1045 |
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| 1047 |
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|
| 1048 |
-
},
|
| 1049 |
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|
| 1050 |
-
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|
| 1051 |
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|
| 1053 |
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|
| 1054 |
-
},
|
| 1055 |
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"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.6528925619834711,
|
| 1057 |
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|
| 1059 |
-
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|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
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|
| 1063 |
-
"acc_stderr": 0.04826217294139894,
|
| 1064 |
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|
| 1065 |
-
"acc_norm_stderr": 0.04826217294139894
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
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|
| 1069 |
-
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|
| 1070 |
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|
| 1071 |
-
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|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.3482142857142857,
|
| 1075 |
-
"acc_stderr": 0.04521829902833587,
|
| 1076 |
-
"acc_norm": 0.3482142857142857,
|
| 1077 |
-
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|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
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|
| 1081 |
-
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|
| 1082 |
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"acc_norm": 0.6893203883495146,
|
| 1083 |
-
"acc_norm_stderr": 0.0458212416016155
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.7393162393162394,
|
| 1087 |
-
"acc_stderr": 0.02876034895652341,
|
| 1088 |
-
"acc_norm": 0.7393162393162394,
|
| 1089 |
-
"acc_norm_stderr": 0.02876034895652341
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.58,
|
| 1093 |
-
"acc_stderr": 0.04960449637488583,
|
| 1094 |
-
"acc_norm": 0.58,
|
| 1095 |
-
"acc_norm_stderr": 0.04960449637488583
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.6794380587484036,
|
| 1099 |
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"acc_stderr": 0.01668889331080376,
|
| 1100 |
-
"acc_norm": 0.6794380587484036,
|
| 1101 |
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|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.5144508670520231,
|
| 1105 |
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|
| 1106 |
-
"acc_norm": 0.5144508670520231,
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| 1107 |
-
"acc_norm_stderr": 0.026907849856282532
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
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|
| 1111 |
-
"acc_stderr": 0.014736926383761985,
|
| 1112 |
-
"acc_norm": 0.2636871508379888,
|
| 1113 |
-
"acc_norm_stderr": 0.014736926383761985
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.5359477124183006,
|
| 1117 |
-
"acc_stderr": 0.028555827516528784,
|
| 1118 |
-
"acc_norm": 0.5359477124183006,
|
| 1119 |
-
"acc_norm_stderr": 0.028555827516528784
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.5434083601286174,
|
| 1123 |
-
"acc_stderr": 0.028290869054197608,
|
| 1124 |
-
"acc_norm": 0.5434083601286174,
|
| 1125 |
-
"acc_norm_stderr": 0.028290869054197608
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.5462962962962963,
|
| 1129 |
-
"acc_stderr": 0.0277012284685426,
|
| 1130 |
-
"acc_norm": 0.5462962962962963,
|
| 1131 |
-
"acc_norm_stderr": 0.0277012284685426
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.35815602836879434,
|
| 1135 |
-
"acc_stderr": 0.028602085862759422,
|
| 1136 |
-
"acc_norm": 0.35815602836879434,
|
| 1137 |
-
"acc_norm_stderr": 0.028602085862759422
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.3963494132985658,
|
| 1141 |
-
"acc_stderr": 0.012492830452095222,
|
| 1142 |
-
"acc_norm": 0.3963494132985658,
|
| 1143 |
-
"acc_norm_stderr": 0.012492830452095222
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.5257352941176471,
|
| 1147 |
-
"acc_stderr": 0.030332578094555026,
|
| 1148 |
-
"acc_norm": 0.5257352941176471,
|
| 1149 |
-
"acc_norm_stderr": 0.030332578094555026
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5228758169934641,
|
| 1153 |
-
"acc_stderr": 0.020206653187884786,
|
| 1154 |
-
"acc_norm": 0.5228758169934641,
|
| 1155 |
-
"acc_norm_stderr": 0.020206653187884786
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.5636363636363636,
|
| 1159 |
-
"acc_stderr": 0.04750185058907296,
|
| 1160 |
-
"acc_norm": 0.5636363636363636,
|
| 1161 |
-
"acc_norm_stderr": 0.04750185058907296
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.5142857142857142,
|
| 1165 |
-
"acc_stderr": 0.03199615232806286,
|
| 1166 |
-
"acc_norm": 0.5142857142857142,
|
| 1167 |
-
"acc_norm_stderr": 0.03199615232806286
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.6368159203980099,
|
| 1171 |
-
"acc_stderr": 0.03400598505599014,
|
| 1172 |
-
"acc_norm": 0.6368159203980099,
|
| 1173 |
-
"acc_norm_stderr": 0.03400598505599014
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.81,
|
| 1177 |
-
"acc_stderr": 0.039427724440366255,
|
| 1178 |
-
"acc_norm": 0.81,
|
| 1179 |
-
"acc_norm_stderr": 0.039427724440366255
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.42771084337349397,
|
| 1183 |
-
"acc_stderr": 0.038515976837185335,
|
| 1184 |
-
"acc_norm": 0.42771084337349397,
|
| 1185 |
-
"acc_norm_stderr": 0.038515976837185335
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.6842105263157895,
|
| 1189 |
-
"acc_stderr": 0.03565079670708312,
|
| 1190 |
-
"acc_norm": 0.6842105263157895,
|
| 1191 |
-
"acc_norm_stderr": 0.03565079670708312
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.3072215422276622,
|
| 1195 |
-
"mc1_stderr": 0.016150201321323013,
|
| 1196 |
-
"mc2": 0.47650415239645905,
|
| 1197 |
-
"mc2_stderr": 0.015250263669871788
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [jondurbin/airoboros-13b-gpt4](https://huggingface.co/jondurbin/airoboros-13b-gpt4)\
|
| 5 |
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-23T04:00:44.911684](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4/blob/main/results_2023-10-23T04-00-44.911684.json)(note\
|
| 17 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.014681208053691275,\n\
|
| 20 |
+
\ \"em_stderr\": 0.001231711314310859,\n \"f1\": 0.07406564597315451,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0017844772735649754,\n \"acc\": 0.4182714775789221,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009732871523024014\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.014681208053691275,\n \"em_stderr\": 0.001231711314310859,\n\
|
| 24 |
+
\ \"f1\": 0.07406564597315451,\n \"f1_stderr\": 0.0017844772735649754\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.07884761182714177,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.00742339051987324\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7576953433307024,\n \"acc_stderr\": 0.012042352526174787\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/jondurbin/airoboros-13b-gpt4
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-08-18T14:07:58.585031.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_23T04_00_44.911684
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-23T04-00-44.911684.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-23T04-00-44.911684.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_23T04_00_44.911684
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-23T04-00-44.911684.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-23T04-00-44.911684.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_08_18T14_07_58.585031
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-08-18T14:07:58.585031.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_23T04_00_44.911684
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-23T04-00-44.911684.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-23T04-00-44.911684.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_08_18T14_07_58.585031
|
| 660 |
path:
|
| 661 |
- results_2023-08-18T14:07:58.585031.parquet
|
| 662 |
+
- split: 2023_10_23T04_00_44.911684
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-23T04-00-44.911684.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-23T04-00-44.911684.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of jondurbin/airoboros-13b-gpt4
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [jondurbin/airoboros-13b-gpt4](https://huggingface.co/jondurbin/airoboros-13b-gpt4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 683 |
|
| 684 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
| 685 |
|
| 686 |
+
The dataset has been created from 2 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.
|
| 687 |
|
| 688 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 689 |
|
|
|
|
| 691 |
```python
|
| 692 |
from datasets import load_dataset
|
| 693 |
data = load_dataset("open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-23T04:00:44.911684](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-13b-gpt4/blob/main/results_2023-10-23T04-00-44.911684.json)(note that their 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):
|
| 701 |
|
| 702 |
```python
|
| 703 |
{
|
| 704 |
"all": {
|
| 705 |
+
"em": 0.014681208053691275,
|
| 706 |
+
"em_stderr": 0.001231711314310859,
|
| 707 |
+
"f1": 0.07406564597315451,
|
| 708 |
+
"f1_stderr": 0.0017844772735649754,
|
| 709 |
+
"acc": 0.4182714775789221,
|
| 710 |
+
"acc_stderr": 0.009732871523024014
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.014681208053691275,
|
| 714 |
+
"em_stderr": 0.001231711314310859,
|
| 715 |
+
"f1": 0.07406564597315451,
|
| 716 |
+
"f1_stderr": 0.0017844772735649754
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.07884761182714177,
|
| 720 |
+
"acc_stderr": 0.00742339051987324
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7576953433307024,
|
| 724 |
+
"acc_stderr": 0.012042352526174787
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|