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README.md
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---
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pretty_name: Evaluation run of openai/gemma-4-E4B-20260610190427-
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ openai/gemma-4-E4B-20260610190427-
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\ each one corresponding to one of the evaluated task.\n\nThe dataset has been created\
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\ from
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\ the split being named using the timestamp of the run.The \"train\" split is always\
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\ pointing to the latest results.\n\nAn additional configuration \"results\" store\
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\ all the aggregated results of the run.\n\nTo load the details from a run, you\
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\ can for instance do the following:\n## Latest results\n\nThese are the [latest\
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\ results from run 2026-06-11T05-
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\ (note that there might be results for other tasks in the repos if successive evals\
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\ didn't cover the same tasks. You find each in the results and the \"latest\" split\
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\ for each eval):\n\n```python\n{\n \"all\": {\n \"mmlu_prox_de_nothink_biology\"\
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: {\n \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\"\
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: \"biology\",\n \"sample_len\": 717,\n \"exact_match,custom-extract\"\
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-
: 0.
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\ },\n \"mmlu_prox_de_nothink_business\": {\n \"name\"\
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: \"mmlu_prox_de_nothink_business\",\n \"alias\": \"business\",\n \
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\ \"sample_len\": 789,\n \"exact_match,custom-extract\": 0.
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,\n \"name\": \"mmlu_prox_de_nothink\",\n \"sample_len\":\
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\ 11759,\n \"exact_match,custom-extract\": 0.
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\
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\ \"sample_count\": {\n \"exact_match,custom-extract\": 11759\n\
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\ }\n }\n },\n \"mmlu_prox_de_nothink_biology\": {\n \
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\ \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\": \"biology\"\
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,\n \"sample_len\": 717,\n \"exact_match,custom-extract\": 0.
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\ \"exact_match_stderr,custom-extract\": 0.
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\
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,\n \"alias\": \"business\",\n \"sample_len\": 789,\n \"exact_match,custom-extract\"\
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: 0.
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\ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"mmlu_prox_de_nothink_chemistry\"\
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,\n \"alias\": \"chemistry\",\n \"sample_len\": 1132,\n \"\
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exact_match,custom-extract\": 0.
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: 0.
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\ \"name\": \"mmlu_prox_de_nothink_computer_science\",\n \"alias\"\
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: \"computer_science\",\n \"sample_len\": 410,\n \"exact_match,custom-extract\"\
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: 0.
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\ },\n \"mmlu_prox_de_nothink_economics\": {\n \"name\": \"mmlu_prox_de_nothink_economics\"\
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,\n \"alias\": \"economics\",\n \"sample_len\": 844,\n \"exact_match,custom-extract\"\
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: 0.
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\ },\n \"mmlu_prox_de_nothink_engineering\": {\n \"name\": \"mmlu_prox_de_nothink_engineering\"\
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,\n \"alias\": \"engineering\",\n \"sample_len\": 969,\n \"\
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exact_match,custom-extract\": 0.
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: 0.
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\
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\ \"exact_match_stderr,custom-extract\": 0.
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\
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,\n \"alias\": \"history\",\n \"sample_len\": 381,\n \"exact_match,custom-extract\"\
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: 0.
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\ },\n \"mmlu_prox_de_nothink_law\": {\n \"name\": \"mmlu_prox_de_nothink_law\"\
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,\n \"alias\": \"law\",\n \"sample_len\": 959,\n \"exact_match,custom-extract\"\
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-
: 0.
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\ },\n \"mmlu_prox_de_nothink_math\": {\n \"name\": \"mmlu_prox_de_nothink_math\"\
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,\n \"alias\": \"math\",\n \"sample_len\": 1351,\n \"exact_match,custom-extract\"\
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-
: 0.
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\ },\n \"mmlu_prox_de_nothink_other\": {\n \"name\": \"mmlu_prox_de_nothink_other\"\
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,\n \"alias\": \"other\",\n \"sample_len\": 924,\n \"exact_match,custom-extract\"\
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-
: 0.
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\ },\n \"mmlu_prox_de_nothink_philosophy\": {\n \"name\": \"mmlu_prox_de_nothink_philosophy\"\
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,\n \"alias\": \"philosophy\",\n \"sample_len\": 499,\n \"\
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exact_match,custom-extract\": 0.
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-
: 0.
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\ \"name\": \"mmlu_prox_de_nothink_physics\",\n \"alias\": \"physics\",\n\
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-
\ \"sample_len\": 1299,\n \"exact_match,custom-extract\": 0.
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\ \"exact_match_stderr,custom-extract\": 0.
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\
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,\n \"alias\": \"psychology\",\n \"sample_len\": 798,\n \"\
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exact_match,custom-extract\": 0.
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-
: 0.
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: \"mmlu_prox_de_nothink\",\n \"name\": \"mmlu_prox_de_nothink\",\n \
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-
\ \"sample_len\": 11759,\n \"exact_match,custom-extract\": 0.
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\ \"exact_match_stderr,custom-extract\": 0.
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-
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\
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-
repo_url: https://huggingface.co/openai/gemma-4-E4B-20260610190427-
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leaderboard_url: ''
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point_of_contact: ''
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configs:
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- split: latest
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path:
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- '**/samples_include_de_2026-06-10T22-32-58.767355.jsonl'
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- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__sb10k_de
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data_files:
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- split: 2026_06_10T22_35_22.260911
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- '**/samples_scala_de_2026-06-11T00-43-59.881898.jsonl'
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---
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-
# Dataset Card for Evaluation run of openai/gemma-4-E4B-20260610190427-
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<!-- Provide a quick summary of the dataset. -->
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-
Dataset automatically created during the evaluation run of model openai/gemma-4-E4B-20260610190427-
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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.
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To load the details from a run, you can for instance do the following:
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## Latest results
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-
These are the [latest results from run 2026-06-11T05-
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```python
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{
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@@ -582,106 +694,106 @@ These are the [latest results from run 2026-06-11T05-09-37.300579](https://huggi
|
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"name": "mmlu_prox_de_nothink_biology",
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"alias": "biology",
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"sample_len": 717,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_business": {
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"name": "mmlu_prox_de_nothink_business",
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"alias": "business",
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"sample_len": 789,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_chemistry": {
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"name": "mmlu_prox_de_nothink_chemistry",
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"alias": "chemistry",
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"sample_len": 1132,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_computer_science": {
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"name": "mmlu_prox_de_nothink_computer_science",
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"alias": "computer_science",
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"sample_len": 410,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_economics": {
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"name": "mmlu_prox_de_nothink_economics",
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"alias": "economics",
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"sample_len": 844,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_engineering": {
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"name": "mmlu_prox_de_nothink_engineering",
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"alias": "engineering",
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"sample_len": 969,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_health": {
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"name": "mmlu_prox_de_nothink_health",
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"alias": "health",
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"sample_len": 687,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_history": {
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"name": "mmlu_prox_de_nothink_history",
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"alias": "history",
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"sample_len": 381,
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| 634 |
-
"exact_match,custom-extract": 0.
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| 635 |
-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_law": {
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"name": "mmlu_prox_de_nothink_law",
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"alias": "law",
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| 640 |
"sample_len": 959,
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| 641 |
-
"exact_match,custom-extract": 0.
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| 642 |
-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_math": {
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"name": "mmlu_prox_de_nothink_math",
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"alias": "math",
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| 647 |
"sample_len": 1351,
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| 648 |
-
"exact_match,custom-extract": 0.
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| 649 |
-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_other": {
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"name": "mmlu_prox_de_nothink_other",
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"alias": "other",
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"sample_len": 924,
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| 655 |
-
"exact_match,custom-extract": 0.
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| 656 |
-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_philosophy": {
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"name": "mmlu_prox_de_nothink_philosophy",
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"alias": "philosophy",
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"sample_len": 499,
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-
"exact_match,custom-extract": 0.
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| 663 |
-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_physics": {
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"name": "mmlu_prox_de_nothink_physics",
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"alias": "physics",
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"sample_len": 1299,
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| 669 |
-
"exact_match,custom-extract": 0.
|
| 670 |
-
"exact_match_stderr,custom-extract": 0.
|
| 671 |
},
|
| 672 |
"mmlu_prox_de_nothink_psychology": {
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"name": "mmlu_prox_de_nothink_psychology",
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"alias": "psychology",
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"sample_len": 798,
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-
"exact_match,custom-extract": 0.
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-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink": {
|
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"alias": "mmlu_prox_de_nothink",
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"name": "mmlu_prox_de_nothink",
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"sample_len": 11759,
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| 683 |
-
"exact_match,custom-extract": 0.
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| 684 |
-
"exact_match_stderr,custom-extract": 0.
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| 685 |
"sample_count": {
|
| 686 |
"exact_match,custom-extract": 11759
|
| 687 |
}
|
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@@ -691,106 +803,106 @@ These are the [latest results from run 2026-06-11T05-09-37.300579](https://huggi
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"name": "mmlu_prox_de_nothink_biology",
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"alias": "biology",
|
| 693 |
"sample_len": 717,
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| 694 |
-
"exact_match,custom-extract": 0.
|
| 695 |
-
"exact_match_stderr,custom-extract": 0.
|
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},
|
| 697 |
"mmlu_prox_de_nothink_business": {
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"name": "mmlu_prox_de_nothink_business",
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"alias": "business",
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"sample_len": 789,
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-
"exact_match,custom-extract": 0.
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| 702 |
-
"exact_match_stderr,custom-extract": 0.
|
| 703 |
},
|
| 704 |
"mmlu_prox_de_nothink_chemistry": {
|
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"name": "mmlu_prox_de_nothink_chemistry",
|
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"alias": "chemistry",
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| 707 |
"sample_len": 1132,
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| 708 |
-
"exact_match,custom-extract": 0.
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| 709 |
-
"exact_match_stderr,custom-extract": 0.
|
| 710 |
},
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| 711 |
"mmlu_prox_de_nothink_computer_science": {
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"name": "mmlu_prox_de_nothink_computer_science",
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"alias": "computer_science",
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"sample_len": 410,
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-
"exact_match,custom-extract": 0.
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| 716 |
-
"exact_match_stderr,custom-extract": 0.
|
| 717 |
},
|
| 718 |
"mmlu_prox_de_nothink_economics": {
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"name": "mmlu_prox_de_nothink_economics",
|
| 720 |
"alias": "economics",
|
| 721 |
"sample_len": 844,
|
| 722 |
-
"exact_match,custom-extract": 0.
|
| 723 |
-
"exact_match_stderr,custom-extract": 0.
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},
|
| 725 |
"mmlu_prox_de_nothink_engineering": {
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"name": "mmlu_prox_de_nothink_engineering",
|
| 727 |
"alias": "engineering",
|
| 728 |
"sample_len": 969,
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| 729 |
-
"exact_match,custom-extract": 0.
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| 730 |
-
"exact_match_stderr,custom-extract": 0.
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},
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| 732 |
"mmlu_prox_de_nothink_health": {
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"name": "mmlu_prox_de_nothink_health",
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"alias": "health",
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"sample_len": 687,
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-
"exact_match,custom-extract": 0.
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| 737 |
-
"exact_match_stderr,custom-extract": 0.
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},
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"mmlu_prox_de_nothink_history": {
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"name": "mmlu_prox_de_nothink_history",
|
| 741 |
"alias": "history",
|
| 742 |
"sample_len": 381,
|
| 743 |
-
"exact_match,custom-extract": 0.
|
| 744 |
-
"exact_match_stderr,custom-extract": 0.
|
| 745 |
},
|
| 746 |
"mmlu_prox_de_nothink_law": {
|
| 747 |
"name": "mmlu_prox_de_nothink_law",
|
| 748 |
"alias": "law",
|
| 749 |
"sample_len": 959,
|
| 750 |
-
"exact_match,custom-extract": 0.
|
| 751 |
-
"exact_match_stderr,custom-extract": 0.
|
| 752 |
},
|
| 753 |
"mmlu_prox_de_nothink_math": {
|
| 754 |
"name": "mmlu_prox_de_nothink_math",
|
| 755 |
"alias": "math",
|
| 756 |
"sample_len": 1351,
|
| 757 |
-
"exact_match,custom-extract": 0.
|
| 758 |
-
"exact_match_stderr,custom-extract": 0.
|
| 759 |
},
|
| 760 |
"mmlu_prox_de_nothink_other": {
|
| 761 |
"name": "mmlu_prox_de_nothink_other",
|
| 762 |
"alias": "other",
|
| 763 |
"sample_len": 924,
|
| 764 |
-
"exact_match,custom-extract": 0.
|
| 765 |
-
"exact_match_stderr,custom-extract": 0.
|
| 766 |
},
|
| 767 |
"mmlu_prox_de_nothink_philosophy": {
|
| 768 |
"name": "mmlu_prox_de_nothink_philosophy",
|
| 769 |
"alias": "philosophy",
|
| 770 |
"sample_len": 499,
|
| 771 |
-
"exact_match,custom-extract": 0.
|
| 772 |
-
"exact_match_stderr,custom-extract": 0.
|
| 773 |
},
|
| 774 |
"mmlu_prox_de_nothink_physics": {
|
| 775 |
"name": "mmlu_prox_de_nothink_physics",
|
| 776 |
"alias": "physics",
|
| 777 |
"sample_len": 1299,
|
| 778 |
-
"exact_match,custom-extract": 0.
|
| 779 |
-
"exact_match_stderr,custom-extract": 0.
|
| 780 |
},
|
| 781 |
"mmlu_prox_de_nothink_psychology": {
|
| 782 |
"name": "mmlu_prox_de_nothink_psychology",
|
| 783 |
"alias": "psychology",
|
| 784 |
"sample_len": 798,
|
| 785 |
-
"exact_match,custom-extract": 0.
|
| 786 |
-
"exact_match_stderr,custom-extract": 0.
|
| 787 |
},
|
| 788 |
"mmlu_prox_de_nothink": {
|
| 789 |
"alias": "mmlu_prox_de_nothink",
|
| 790 |
"name": "mmlu_prox_de_nothink",
|
| 791 |
"sample_len": 11759,
|
| 792 |
-
"exact_match,custom-extract": 0.
|
| 793 |
-
"exact_match_stderr,custom-extract": 0.
|
| 794 |
"sample_count": {
|
| 795 |
"exact_match,custom-extract": 11759
|
| 796 |
}
|
|
|
|
| 1 |
---
|
| 2 |
+
pretty_name: Evaluation run of openai/gemma-4-E4B-20260610190427-v1-bf16
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
+
\ openai/gemma-4-E4B-20260610190427-v1-bf16\nThe dataset is composed of 67 configuration(s),\
|
| 5 |
\ each one corresponding to one of the evaluated task.\n\nThe dataset has been created\
|
| 6 |
+
\ from 32 run(s). Each run can be found as a specific split in each configuration,\
|
| 7 |
\ the split being named using the timestamp of the run.The \"train\" split is always\
|
| 8 |
\ pointing to the latest results.\n\nAn additional configuration \"results\" store\
|
| 9 |
\ all the aggregated results of the run.\n\nTo load the details from a run, you\
|
| 10 |
\ can for instance do the following:\n## Latest results\n\nThese are the [latest\
|
| 11 |
+
\ results from run 2026-06-11T05-37-36.712298](https://huggingface.co/datasets/peerbench/gemma4-results/blob/main/openai/gemma-4-E4B-20260610190427-v1-bf16/results_2026-06-11T05-37-36.712298.json)\
|
| 12 |
\ (note that there might be results for other tasks in the repos if successive evals\
|
| 13 |
\ didn't cover the same tasks. You find each in the results and the \"latest\" split\
|
| 14 |
\ for each eval):\n\n```python\n{\n \"all\": {\n \"mmlu_prox_de_nothink_biology\"\
|
| 15 |
: {\n \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\"\
|
| 16 |
: \"biology\",\n \"sample_len\": 717,\n \"exact_match,custom-extract\"\
|
| 17 |
+
: 0.6471408647140865,\n \"exact_match_stderr,custom-extract\": 0.017858442674663324\n\
|
| 18 |
\ },\n \"mmlu_prox_de_nothink_business\": {\n \"name\"\
|
| 19 |
: \"mmlu_prox_de_nothink_business\",\n \"alias\": \"business\",\n \
|
| 20 |
+
\ \"sample_len\": 789,\n \"exact_match,custom-extract\": 0.39543726235741444,\n\
|
| 21 |
+
\ \"exact_match_stderr,custom-extract\": 0.01741792333110886\n \
|
| 22 |
+
\ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"mmlu_prox_de_nothink_chemistry\"\
|
| 23 |
+
,\n \"alias\": \"chemistry\",\n \"sample_len\": 1132,\n \
|
| 24 |
+
\ \"exact_match,custom-extract\": 0.23233215547703182,\n \"\
|
| 25 |
+
exact_match_stderr,custom-extract\": 0.012557697961009957\n },\n \"\
|
| 26 |
+
mmlu_prox_de_nothink_computer_science\": {\n \"name\": \"mmlu_prox_de_nothink_computer_science\"\
|
| 27 |
+
,\n \"alias\": \"computer_science\",\n \"sample_len\": 410,\n\
|
| 28 |
+
\ \"exact_match,custom-extract\": 0.4634146341463415,\n \"\
|
| 29 |
+
exact_match_stderr,custom-extract\": 0.02465713597594657\n },\n \"\
|
| 30 |
+
mmlu_prox_de_nothink_economics\": {\n \"name\": \"mmlu_prox_de_nothink_economics\"\
|
| 31 |
+
,\n \"alias\": \"economics\",\n \"sample_len\": 844,\n \
|
| 32 |
+
\ \"exact_match,custom-extract\": 0.5319905213270142,\n \"exact_match_stderr,custom-extract\"\
|
| 33 |
+
: 0.017185631068934174\n },\n \"mmlu_prox_de_nothink_engineering\"\
|
| 34 |
+
: {\n \"name\": \"mmlu_prox_de_nothink_engineering\",\n \"\
|
| 35 |
+
alias\": \"engineering\",\n \"sample_len\": 969,\n \"exact_match,custom-extract\"\
|
| 36 |
+
: 0.19607843137254902,\n \"exact_match_stderr,custom-extract\": 0.01276098133981857\n\
|
| 37 |
+
\ },\n \"mmlu_prox_de_nothink_health\": {\n \"name\": \"\
|
| 38 |
+
mmlu_prox_de_nothink_health\",\n \"alias\": \"health\",\n \
|
| 39 |
+
\ \"sample_len\": 687,\n \"exact_match,custom-extract\": 0.3682678311499272,\n\
|
| 40 |
+
\ \"exact_match_stderr,custom-extract\": 0.018415619388146082\n \
|
| 41 |
+
\ },\n \"mmlu_prox_de_nothink_history\": {\n \"name\": \"mmlu_prox_de_nothink_history\"\
|
| 42 |
+
,\n \"alias\": \"history\",\n \"sample_len\": 381,\n \
|
| 43 |
+
\ \"exact_match,custom-extract\": 0.35170603674540685,\n \"exact_match_stderr,custom-extract\"\
|
| 44 |
+
: 0.024495375528231108\n },\n \"mmlu_prox_de_nothink_law\": {\n \
|
| 45 |
+
\ \"name\": \"mmlu_prox_de_nothink_law\",\n \"alias\": \"law\"\
|
| 46 |
+
,\n \"sample_len\": 959,\n \"exact_match,custom-extract\"\
|
| 47 |
+
: 0.205422314911366,\n \"exact_match_stderr,custom-extract\": 0.013052966909628755\n\
|
| 48 |
+
\ },\n \"mmlu_prox_de_nothink_math\": {\n \"name\": \"\
|
| 49 |
+
mmlu_prox_de_nothink_math\",\n \"alias\": \"math\",\n \"sample_len\"\
|
| 50 |
+
: 1351,\n \"exact_match,custom-extract\": 0.4537379718726869,\n \
|
| 51 |
+
\ \"exact_match_stderr,custom-extract\": 0.01354990295861251\n },\n\
|
| 52 |
+
\ \"mmlu_prox_de_nothink_other\": {\n \"name\": \"mmlu_prox_de_nothink_other\"\
|
| 53 |
+
,\n \"alias\": \"other\",\n \"sample_len\": 924,\n \
|
| 54 |
+
\ \"exact_match,custom-extract\": 0.3430735930735931,\n \"exact_match_stderr,custom-extract\"\
|
| 55 |
+
: 0.015626119992246876\n },\n \"mmlu_prox_de_nothink_philosophy\"\
|
| 56 |
+
: {\n \"name\": \"mmlu_prox_de_nothink_philosophy\",\n \"\
|
| 57 |
+
alias\": \"philosophy\",\n \"sample_len\": 499,\n \"exact_match,custom-extract\"\
|
| 58 |
+
: 0.3186372745490982,\n \"exact_match_stderr,custom-extract\": 0.020879630252280033\n\
|
| 59 |
+
\ },\n \"mmlu_prox_de_nothink_physics\": {\n \"name\":\
|
| 60 |
+
\ \"mmlu_prox_de_nothink_physics\",\n \"alias\": \"physics\",\n \
|
| 61 |
+
\ \"sample_len\": 1299,\n \"exact_match,custom-extract\": 0.302540415704388,\n\
|
| 62 |
+
\ \"exact_match_stderr,custom-extract\": 0.01275010838860862\n \
|
| 63 |
+
\ },\n \"mmlu_prox_de_nothink_psychology\": {\n \"name\": \"\
|
| 64 |
+
mmlu_prox_de_nothink_psychology\",\n \"alias\": \"psychology\",\n \
|
| 65 |
+
\ \"sample_len\": 798,\n \"exact_match,custom-extract\": 0.5300751879699248,\n\
|
| 66 |
+
\ \"exact_match_stderr,custom-extract\": 0.017678840007925144\n \
|
| 67 |
+
\ },\n \"mmlu_prox_de_nothink\": {\n \"alias\": \"mmlu_prox_de_nothink\"\
|
| 68 |
,\n \"name\": \"mmlu_prox_de_nothink\",\n \"sample_len\":\
|
| 69 |
+
\ 11759,\n \"exact_match,custom-extract\": 0.37052470448167363,\n \
|
| 70 |
+
\ \"exact_match_stderr,custom-extract\": 0.004294092147584978,\n \
|
| 71 |
\ \"sample_count\": {\n \"exact_match,custom-extract\": 11759\n\
|
| 72 |
\ }\n }\n },\n \"mmlu_prox_de_nothink_biology\": {\n \
|
| 73 |
\ \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\": \"biology\"\
|
| 74 |
+
,\n \"sample_len\": 717,\n \"exact_match,custom-extract\": 0.6471408647140865,\n\
|
| 75 |
+
\ \"exact_match_stderr,custom-extract\": 0.017858442674663324\n },\n \
|
| 76 |
+
\ \"mmlu_prox_de_nothink_business\": {\n \"name\": \"mmlu_prox_de_nothink_business\"\
|
| 77 |
,\n \"alias\": \"business\",\n \"sample_len\": 789,\n \"exact_match,custom-extract\"\
|
| 78 |
+
: 0.39543726235741444,\n \"exact_match_stderr,custom-extract\": 0.01741792333110886\n\
|
| 79 |
\ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"mmlu_prox_de_nothink_chemistry\"\
|
| 80 |
,\n \"alias\": \"chemistry\",\n \"sample_len\": 1132,\n \"\
|
| 81 |
+
exact_match,custom-extract\": 0.23233215547703182,\n \"exact_match_stderr,custom-extract\"\
|
| 82 |
+
: 0.012557697961009957\n },\n \"mmlu_prox_de_nothink_computer_science\": {\n\
|
| 83 |
\ \"name\": \"mmlu_prox_de_nothink_computer_science\",\n \"alias\"\
|
| 84 |
: \"computer_science\",\n \"sample_len\": 410,\n \"exact_match,custom-extract\"\
|
| 85 |
+
: 0.4634146341463415,\n \"exact_match_stderr,custom-extract\": 0.02465713597594657\n\
|
| 86 |
\ },\n \"mmlu_prox_de_nothink_economics\": {\n \"name\": \"mmlu_prox_de_nothink_economics\"\
|
| 87 |
,\n \"alias\": \"economics\",\n \"sample_len\": 844,\n \"exact_match,custom-extract\"\
|
| 88 |
+
: 0.5319905213270142,\n \"exact_match_stderr,custom-extract\": 0.017185631068934174\n\
|
| 89 |
\ },\n \"mmlu_prox_de_nothink_engineering\": {\n \"name\": \"mmlu_prox_de_nothink_engineering\"\
|
| 90 |
,\n \"alias\": \"engineering\",\n \"sample_len\": 969,\n \"\
|
| 91 |
+
exact_match,custom-extract\": 0.19607843137254902,\n \"exact_match_stderr,custom-extract\"\
|
| 92 |
+
: 0.01276098133981857\n },\n \"mmlu_prox_de_nothink_health\": {\n \"\
|
| 93 |
+
name\": \"mmlu_prox_de_nothink_health\",\n \"alias\": \"health\",\n \
|
| 94 |
+
\ \"sample_len\": 687,\n \"exact_match,custom-extract\": 0.3682678311499272,\n\
|
| 95 |
+
\ \"exact_match_stderr,custom-extract\": 0.018415619388146082\n },\n \
|
| 96 |
+
\ \"mmlu_prox_de_nothink_history\": {\n \"name\": \"mmlu_prox_de_nothink_history\"\
|
| 97 |
,\n \"alias\": \"history\",\n \"sample_len\": 381,\n \"exact_match,custom-extract\"\
|
| 98 |
+
: 0.35170603674540685,\n \"exact_match_stderr,custom-extract\": 0.024495375528231108\n\
|
| 99 |
\ },\n \"mmlu_prox_de_nothink_law\": {\n \"name\": \"mmlu_prox_de_nothink_law\"\
|
| 100 |
,\n \"alias\": \"law\",\n \"sample_len\": 959,\n \"exact_match,custom-extract\"\
|
| 101 |
+
: 0.205422314911366,\n \"exact_match_stderr,custom-extract\": 0.013052966909628755\n\
|
| 102 |
\ },\n \"mmlu_prox_de_nothink_math\": {\n \"name\": \"mmlu_prox_de_nothink_math\"\
|
| 103 |
,\n \"alias\": \"math\",\n \"sample_len\": 1351,\n \"exact_match,custom-extract\"\
|
| 104 |
+
: 0.4537379718726869,\n \"exact_match_stderr,custom-extract\": 0.01354990295861251\n\
|
| 105 |
\ },\n \"mmlu_prox_de_nothink_other\": {\n \"name\": \"mmlu_prox_de_nothink_other\"\
|
| 106 |
,\n \"alias\": \"other\",\n \"sample_len\": 924,\n \"exact_match,custom-extract\"\
|
| 107 |
+
: 0.3430735930735931,\n \"exact_match_stderr,custom-extract\": 0.015626119992246876\n\
|
| 108 |
\ },\n \"mmlu_prox_de_nothink_philosophy\": {\n \"name\": \"mmlu_prox_de_nothink_philosophy\"\
|
| 109 |
,\n \"alias\": \"philosophy\",\n \"sample_len\": 499,\n \"\
|
| 110 |
+
exact_match,custom-extract\": 0.3186372745490982,\n \"exact_match_stderr,custom-extract\"\
|
| 111 |
+
: 0.020879630252280033\n },\n \"mmlu_prox_de_nothink_physics\": {\n \
|
| 112 |
\ \"name\": \"mmlu_prox_de_nothink_physics\",\n \"alias\": \"physics\",\n\
|
| 113 |
+
\ \"sample_len\": 1299,\n \"exact_match,custom-extract\": 0.302540415704388,\n\
|
| 114 |
+
\ \"exact_match_stderr,custom-extract\": 0.01275010838860862\n },\n \
|
| 115 |
+
\ \"mmlu_prox_de_nothink_psychology\": {\n \"name\": \"mmlu_prox_de_nothink_psychology\"\
|
| 116 |
,\n \"alias\": \"psychology\",\n \"sample_len\": 798,\n \"\
|
| 117 |
+
exact_match,custom-extract\": 0.5300751879699248,\n \"exact_match_stderr,custom-extract\"\
|
| 118 |
+
: 0.017678840007925144\n },\n \"mmlu_prox_de_nothink\": {\n \"alias\"\
|
| 119 |
: \"mmlu_prox_de_nothink\",\n \"name\": \"mmlu_prox_de_nothink\",\n \
|
| 120 |
+
\ \"sample_len\": 11759,\n \"exact_match,custom-extract\": 0.37052470448167363,\n\
|
| 121 |
+
\ \"exact_match_stderr,custom-extract\": 0.004294092147584978,\n \"\
|
| 122 |
+
sample_count\": {\n \"exact_match,custom-extract\": 11759\n }\n\
|
| 123 |
+
\ }\n}\n```"
|
| 124 |
+
repo_url: https://huggingface.co/openai/gemma-4-E4B-20260610190427-v1-bf16
|
| 125 |
leaderboard_url: ''
|
| 126 |
point_of_contact: ''
|
| 127 |
configs:
|
|
|
|
| 133 |
- split: latest
|
| 134 |
path:
|
| 135 |
- '**/samples_include_de_2026-06-10T22-32-58.767355.jsonl'
|
| 136 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_biology
|
| 137 |
+
data_files:
|
| 138 |
+
- split: 2026_06_11T05_37_36.712298
|
| 139 |
+
path:
|
| 140 |
+
- '**/samples_mmlu_prox_de_nothink_biology_2026-06-11T05-37-36.712298.jsonl'
|
| 141 |
+
- split: latest
|
| 142 |
+
path:
|
| 143 |
+
- '**/samples_mmlu_prox_de_nothink_biology_2026-06-11T05-37-36.712298.jsonl'
|
| 144 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_business
|
| 145 |
+
data_files:
|
| 146 |
+
- split: 2026_06_11T05_37_36.712298
|
| 147 |
+
path:
|
| 148 |
+
- '**/samples_mmlu_prox_de_nothink_business_2026-06-11T05-37-36.712298.jsonl'
|
| 149 |
+
- split: latest
|
| 150 |
+
path:
|
| 151 |
+
- '**/samples_mmlu_prox_de_nothink_business_2026-06-11T05-37-36.712298.jsonl'
|
| 152 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_chemistry
|
| 153 |
+
data_files:
|
| 154 |
+
- split: 2026_06_11T05_37_36.712298
|
| 155 |
+
path:
|
| 156 |
+
- '**/samples_mmlu_prox_de_nothink_chemistry_2026-06-11T05-37-36.712298.jsonl'
|
| 157 |
+
- split: latest
|
| 158 |
+
path:
|
| 159 |
+
- '**/samples_mmlu_prox_de_nothink_chemistry_2026-06-11T05-37-36.712298.jsonl'
|
| 160 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_computer_science
|
| 161 |
+
data_files:
|
| 162 |
+
- split: 2026_06_11T05_37_36.712298
|
| 163 |
+
path:
|
| 164 |
+
- '**/samples_mmlu_prox_de_nothink_computer_science_2026-06-11T05-37-36.712298.jsonl'
|
| 165 |
+
- split: latest
|
| 166 |
+
path:
|
| 167 |
+
- '**/samples_mmlu_prox_de_nothink_computer_science_2026-06-11T05-37-36.712298.jsonl'
|
| 168 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_economics
|
| 169 |
+
data_files:
|
| 170 |
+
- split: 2026_06_11T05_37_36.712298
|
| 171 |
+
path:
|
| 172 |
+
- '**/samples_mmlu_prox_de_nothink_economics_2026-06-11T05-37-36.712298.jsonl'
|
| 173 |
+
- split: latest
|
| 174 |
+
path:
|
| 175 |
+
- '**/samples_mmlu_prox_de_nothink_economics_2026-06-11T05-37-36.712298.jsonl'
|
| 176 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_engineering
|
| 177 |
+
data_files:
|
| 178 |
+
- split: 2026_06_11T05_37_36.712298
|
| 179 |
+
path:
|
| 180 |
+
- '**/samples_mmlu_prox_de_nothink_engineering_2026-06-11T05-37-36.712298.jsonl'
|
| 181 |
+
- split: latest
|
| 182 |
+
path:
|
| 183 |
+
- '**/samples_mmlu_prox_de_nothink_engineering_2026-06-11T05-37-36.712298.jsonl'
|
| 184 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_health
|
| 185 |
+
data_files:
|
| 186 |
+
- split: 2026_06_11T05_37_36.712298
|
| 187 |
+
path:
|
| 188 |
+
- '**/samples_mmlu_prox_de_nothink_health_2026-06-11T05-37-36.712298.jsonl'
|
| 189 |
+
- split: latest
|
| 190 |
+
path:
|
| 191 |
+
- '**/samples_mmlu_prox_de_nothink_health_2026-06-11T05-37-36.712298.jsonl'
|
| 192 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_history
|
| 193 |
+
data_files:
|
| 194 |
+
- split: 2026_06_11T05_37_36.712298
|
| 195 |
+
path:
|
| 196 |
+
- '**/samples_mmlu_prox_de_nothink_history_2026-06-11T05-37-36.712298.jsonl'
|
| 197 |
+
- split: latest
|
| 198 |
+
path:
|
| 199 |
+
- '**/samples_mmlu_prox_de_nothink_history_2026-06-11T05-37-36.712298.jsonl'
|
| 200 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_law
|
| 201 |
+
data_files:
|
| 202 |
+
- split: 2026_06_11T05_37_36.712298
|
| 203 |
+
path:
|
| 204 |
+
- '**/samples_mmlu_prox_de_nothink_law_2026-06-11T05-37-36.712298.jsonl'
|
| 205 |
+
- split: latest
|
| 206 |
+
path:
|
| 207 |
+
- '**/samples_mmlu_prox_de_nothink_law_2026-06-11T05-37-36.712298.jsonl'
|
| 208 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_math
|
| 209 |
+
data_files:
|
| 210 |
+
- split: 2026_06_11T05_37_36.712298
|
| 211 |
+
path:
|
| 212 |
+
- '**/samples_mmlu_prox_de_nothink_math_2026-06-11T05-37-36.712298.jsonl'
|
| 213 |
+
- split: latest
|
| 214 |
+
path:
|
| 215 |
+
- '**/samples_mmlu_prox_de_nothink_math_2026-06-11T05-37-36.712298.jsonl'
|
| 216 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_other
|
| 217 |
+
data_files:
|
| 218 |
+
- split: 2026_06_11T05_37_36.712298
|
| 219 |
+
path:
|
| 220 |
+
- '**/samples_mmlu_prox_de_nothink_other_2026-06-11T05-37-36.712298.jsonl'
|
| 221 |
+
- split: latest
|
| 222 |
+
path:
|
| 223 |
+
- '**/samples_mmlu_prox_de_nothink_other_2026-06-11T05-37-36.712298.jsonl'
|
| 224 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_philosophy
|
| 225 |
+
data_files:
|
| 226 |
+
- split: 2026_06_11T05_37_36.712298
|
| 227 |
+
path:
|
| 228 |
+
- '**/samples_mmlu_prox_de_nothink_philosophy_2026-06-11T05-37-36.712298.jsonl'
|
| 229 |
+
- split: latest
|
| 230 |
+
path:
|
| 231 |
+
- '**/samples_mmlu_prox_de_nothink_philosophy_2026-06-11T05-37-36.712298.jsonl'
|
| 232 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_physics
|
| 233 |
+
data_files:
|
| 234 |
+
- split: 2026_06_11T05_37_36.712298
|
| 235 |
+
path:
|
| 236 |
+
- '**/samples_mmlu_prox_de_nothink_physics_2026-06-11T05-37-36.712298.jsonl'
|
| 237 |
+
- split: latest
|
| 238 |
+
path:
|
| 239 |
+
- '**/samples_mmlu_prox_de_nothink_physics_2026-06-11T05-37-36.712298.jsonl'
|
| 240 |
+
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_psychology
|
| 241 |
+
data_files:
|
| 242 |
+
- split: 2026_06_11T05_37_36.712298
|
| 243 |
+
path:
|
| 244 |
+
- '**/samples_mmlu_prox_de_nothink_psychology_2026-06-11T05-37-36.712298.jsonl'
|
| 245 |
+
- split: latest
|
| 246 |
+
path:
|
| 247 |
+
- '**/samples_mmlu_prox_de_nothink_psychology_2026-06-11T05-37-36.712298.jsonl'
|
| 248 |
- config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__sb10k_de
|
| 249 |
data_files:
|
| 250 |
- split: 2026_06_10T22_35_22.260911
|
|
|
|
| 671 |
- '**/samples_scala_de_2026-06-11T00-43-59.881898.jsonl'
|
| 672 |
---
|
| 673 |
|
| 674 |
+
# Dataset Card for Evaluation run of openai/gemma-4-E4B-20260610190427-v1-bf16
|
| 675 |
|
| 676 |
<!-- Provide a quick summary of the dataset. -->
|
| 677 |
|
| 678 |
+
Dataset automatically created during the evaluation run of model openai/gemma-4-E4B-20260610190427-v1-bf16
|
| 679 |
+
The dataset is composed of 67 configuration(s), each one corresponding to one of the evaluated task.
|
| 680 |
|
| 681 |
+
The dataset has been created from 32 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.
|
| 682 |
|
| 683 |
An additional configuration "results" store all the aggregated results of the run.
|
| 684 |
|
| 685 |
To load the details from a run, you can for instance do the following:
|
| 686 |
## Latest results
|
| 687 |
|
| 688 |
+
These are the [latest results from run 2026-06-11T05-37-36.712298](https://huggingface.co/datasets/peerbench/gemma4-results/blob/main/openai/gemma-4-E4B-20260610190427-v1-bf16/results_2026-06-11T05-37-36.712298.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):
|
| 689 |
|
| 690 |
```python
|
| 691 |
{
|
|
|
|
| 694 |
"name": "mmlu_prox_de_nothink_biology",
|
| 695 |
"alias": "biology",
|
| 696 |
"sample_len": 717,
|
| 697 |
+
"exact_match,custom-extract": 0.6471408647140865,
|
| 698 |
+
"exact_match_stderr,custom-extract": 0.017858442674663324
|
| 699 |
},
|
| 700 |
"mmlu_prox_de_nothink_business": {
|
| 701 |
"name": "mmlu_prox_de_nothink_business",
|
| 702 |
"alias": "business",
|
| 703 |
"sample_len": 789,
|
| 704 |
+
"exact_match,custom-extract": 0.39543726235741444,
|
| 705 |
+
"exact_match_stderr,custom-extract": 0.01741792333110886
|
| 706 |
},
|
| 707 |
"mmlu_prox_de_nothink_chemistry": {
|
| 708 |
"name": "mmlu_prox_de_nothink_chemistry",
|
| 709 |
"alias": "chemistry",
|
| 710 |
"sample_len": 1132,
|
| 711 |
+
"exact_match,custom-extract": 0.23233215547703182,
|
| 712 |
+
"exact_match_stderr,custom-extract": 0.012557697961009957
|
| 713 |
},
|
| 714 |
"mmlu_prox_de_nothink_computer_science": {
|
| 715 |
"name": "mmlu_prox_de_nothink_computer_science",
|
| 716 |
"alias": "computer_science",
|
| 717 |
"sample_len": 410,
|
| 718 |
+
"exact_match,custom-extract": 0.4634146341463415,
|
| 719 |
+
"exact_match_stderr,custom-extract": 0.02465713597594657
|
| 720 |
},
|
| 721 |
"mmlu_prox_de_nothink_economics": {
|
| 722 |
"name": "mmlu_prox_de_nothink_economics",
|
| 723 |
"alias": "economics",
|
| 724 |
"sample_len": 844,
|
| 725 |
+
"exact_match,custom-extract": 0.5319905213270142,
|
| 726 |
+
"exact_match_stderr,custom-extract": 0.017185631068934174
|
| 727 |
},
|
| 728 |
"mmlu_prox_de_nothink_engineering": {
|
| 729 |
"name": "mmlu_prox_de_nothink_engineering",
|
| 730 |
"alias": "engineering",
|
| 731 |
"sample_len": 969,
|
| 732 |
+
"exact_match,custom-extract": 0.19607843137254902,
|
| 733 |
+
"exact_match_stderr,custom-extract": 0.01276098133981857
|
| 734 |
},
|
| 735 |
"mmlu_prox_de_nothink_health": {
|
| 736 |
"name": "mmlu_prox_de_nothink_health",
|
| 737 |
"alias": "health",
|
| 738 |
"sample_len": 687,
|
| 739 |
+
"exact_match,custom-extract": 0.3682678311499272,
|
| 740 |
+
"exact_match_stderr,custom-extract": 0.018415619388146082
|
| 741 |
},
|
| 742 |
"mmlu_prox_de_nothink_history": {
|
| 743 |
"name": "mmlu_prox_de_nothink_history",
|
| 744 |
"alias": "history",
|
| 745 |
"sample_len": 381,
|
| 746 |
+
"exact_match,custom-extract": 0.35170603674540685,
|
| 747 |
+
"exact_match_stderr,custom-extract": 0.024495375528231108
|
| 748 |
},
|
| 749 |
"mmlu_prox_de_nothink_law": {
|
| 750 |
"name": "mmlu_prox_de_nothink_law",
|
| 751 |
"alias": "law",
|
| 752 |
"sample_len": 959,
|
| 753 |
+
"exact_match,custom-extract": 0.205422314911366,
|
| 754 |
+
"exact_match_stderr,custom-extract": 0.013052966909628755
|
| 755 |
},
|
| 756 |
"mmlu_prox_de_nothink_math": {
|
| 757 |
"name": "mmlu_prox_de_nothink_math",
|
| 758 |
"alias": "math",
|
| 759 |
"sample_len": 1351,
|
| 760 |
+
"exact_match,custom-extract": 0.4537379718726869,
|
| 761 |
+
"exact_match_stderr,custom-extract": 0.01354990295861251
|
| 762 |
},
|
| 763 |
"mmlu_prox_de_nothink_other": {
|
| 764 |
"name": "mmlu_prox_de_nothink_other",
|
| 765 |
"alias": "other",
|
| 766 |
"sample_len": 924,
|
| 767 |
+
"exact_match,custom-extract": 0.3430735930735931,
|
| 768 |
+
"exact_match_stderr,custom-extract": 0.015626119992246876
|
| 769 |
},
|
| 770 |
"mmlu_prox_de_nothink_philosophy": {
|
| 771 |
"name": "mmlu_prox_de_nothink_philosophy",
|
| 772 |
"alias": "philosophy",
|
| 773 |
"sample_len": 499,
|
| 774 |
+
"exact_match,custom-extract": 0.3186372745490982,
|
| 775 |
+
"exact_match_stderr,custom-extract": 0.020879630252280033
|
| 776 |
},
|
| 777 |
"mmlu_prox_de_nothink_physics": {
|
| 778 |
"name": "mmlu_prox_de_nothink_physics",
|
| 779 |
"alias": "physics",
|
| 780 |
"sample_len": 1299,
|
| 781 |
+
"exact_match,custom-extract": 0.302540415704388,
|
| 782 |
+
"exact_match_stderr,custom-extract": 0.01275010838860862
|
| 783 |
},
|
| 784 |
"mmlu_prox_de_nothink_psychology": {
|
| 785 |
"name": "mmlu_prox_de_nothink_psychology",
|
| 786 |
"alias": "psychology",
|
| 787 |
"sample_len": 798,
|
| 788 |
+
"exact_match,custom-extract": 0.5300751879699248,
|
| 789 |
+
"exact_match_stderr,custom-extract": 0.017678840007925144
|
| 790 |
},
|
| 791 |
"mmlu_prox_de_nothink": {
|
| 792 |
"alias": "mmlu_prox_de_nothink",
|
| 793 |
"name": "mmlu_prox_de_nothink",
|
| 794 |
"sample_len": 11759,
|
| 795 |
+
"exact_match,custom-extract": 0.37052470448167363,
|
| 796 |
+
"exact_match_stderr,custom-extract": 0.004294092147584978,
|
| 797 |
"sample_count": {
|
| 798 |
"exact_match,custom-extract": 11759
|
| 799 |
}
|
|
|
|
| 803 |
"name": "mmlu_prox_de_nothink_biology",
|
| 804 |
"alias": "biology",
|
| 805 |
"sample_len": 717,
|
| 806 |
+
"exact_match,custom-extract": 0.6471408647140865,
|
| 807 |
+
"exact_match_stderr,custom-extract": 0.017858442674663324
|
| 808 |
},
|
| 809 |
"mmlu_prox_de_nothink_business": {
|
| 810 |
"name": "mmlu_prox_de_nothink_business",
|
| 811 |
"alias": "business",
|
| 812 |
"sample_len": 789,
|
| 813 |
+
"exact_match,custom-extract": 0.39543726235741444,
|
| 814 |
+
"exact_match_stderr,custom-extract": 0.01741792333110886
|
| 815 |
},
|
| 816 |
"mmlu_prox_de_nothink_chemistry": {
|
| 817 |
"name": "mmlu_prox_de_nothink_chemistry",
|
| 818 |
"alias": "chemistry",
|
| 819 |
"sample_len": 1132,
|
| 820 |
+
"exact_match,custom-extract": 0.23233215547703182,
|
| 821 |
+
"exact_match_stderr,custom-extract": 0.012557697961009957
|
| 822 |
},
|
| 823 |
"mmlu_prox_de_nothink_computer_science": {
|
| 824 |
"name": "mmlu_prox_de_nothink_computer_science",
|
| 825 |
"alias": "computer_science",
|
| 826 |
"sample_len": 410,
|
| 827 |
+
"exact_match,custom-extract": 0.4634146341463415,
|
| 828 |
+
"exact_match_stderr,custom-extract": 0.02465713597594657
|
| 829 |
},
|
| 830 |
"mmlu_prox_de_nothink_economics": {
|
| 831 |
"name": "mmlu_prox_de_nothink_economics",
|
| 832 |
"alias": "economics",
|
| 833 |
"sample_len": 844,
|
| 834 |
+
"exact_match,custom-extract": 0.5319905213270142,
|
| 835 |
+
"exact_match_stderr,custom-extract": 0.017185631068934174
|
| 836 |
},
|
| 837 |
"mmlu_prox_de_nothink_engineering": {
|
| 838 |
"name": "mmlu_prox_de_nothink_engineering",
|
| 839 |
"alias": "engineering",
|
| 840 |
"sample_len": 969,
|
| 841 |
+
"exact_match,custom-extract": 0.19607843137254902,
|
| 842 |
+
"exact_match_stderr,custom-extract": 0.01276098133981857
|
| 843 |
},
|
| 844 |
"mmlu_prox_de_nothink_health": {
|
| 845 |
"name": "mmlu_prox_de_nothink_health",
|
| 846 |
"alias": "health",
|
| 847 |
"sample_len": 687,
|
| 848 |
+
"exact_match,custom-extract": 0.3682678311499272,
|
| 849 |
+
"exact_match_stderr,custom-extract": 0.018415619388146082
|
| 850 |
},
|
| 851 |
"mmlu_prox_de_nothink_history": {
|
| 852 |
"name": "mmlu_prox_de_nothink_history",
|
| 853 |
"alias": "history",
|
| 854 |
"sample_len": 381,
|
| 855 |
+
"exact_match,custom-extract": 0.35170603674540685,
|
| 856 |
+
"exact_match_stderr,custom-extract": 0.024495375528231108
|
| 857 |
},
|
| 858 |
"mmlu_prox_de_nothink_law": {
|
| 859 |
"name": "mmlu_prox_de_nothink_law",
|
| 860 |
"alias": "law",
|
| 861 |
"sample_len": 959,
|
| 862 |
+
"exact_match,custom-extract": 0.205422314911366,
|
| 863 |
+
"exact_match_stderr,custom-extract": 0.013052966909628755
|
| 864 |
},
|
| 865 |
"mmlu_prox_de_nothink_math": {
|
| 866 |
"name": "mmlu_prox_de_nothink_math",
|
| 867 |
"alias": "math",
|
| 868 |
"sample_len": 1351,
|
| 869 |
+
"exact_match,custom-extract": 0.4537379718726869,
|
| 870 |
+
"exact_match_stderr,custom-extract": 0.01354990295861251
|
| 871 |
},
|
| 872 |
"mmlu_prox_de_nothink_other": {
|
| 873 |
"name": "mmlu_prox_de_nothink_other",
|
| 874 |
"alias": "other",
|
| 875 |
"sample_len": 924,
|
| 876 |
+
"exact_match,custom-extract": 0.3430735930735931,
|
| 877 |
+
"exact_match_stderr,custom-extract": 0.015626119992246876
|
| 878 |
},
|
| 879 |
"mmlu_prox_de_nothink_philosophy": {
|
| 880 |
"name": "mmlu_prox_de_nothink_philosophy",
|
| 881 |
"alias": "philosophy",
|
| 882 |
"sample_len": 499,
|
| 883 |
+
"exact_match,custom-extract": 0.3186372745490982,
|
| 884 |
+
"exact_match_stderr,custom-extract": 0.020879630252280033
|
| 885 |
},
|
| 886 |
"mmlu_prox_de_nothink_physics": {
|
| 887 |
"name": "mmlu_prox_de_nothink_physics",
|
| 888 |
"alias": "physics",
|
| 889 |
"sample_len": 1299,
|
| 890 |
+
"exact_match,custom-extract": 0.302540415704388,
|
| 891 |
+
"exact_match_stderr,custom-extract": 0.01275010838860862
|
| 892 |
},
|
| 893 |
"mmlu_prox_de_nothink_psychology": {
|
| 894 |
"name": "mmlu_prox_de_nothink_psychology",
|
| 895 |
"alias": "psychology",
|
| 896 |
"sample_len": 798,
|
| 897 |
+
"exact_match,custom-extract": 0.5300751879699248,
|
| 898 |
+
"exact_match_stderr,custom-extract": 0.017678840007925144
|
| 899 |
},
|
| 900 |
"mmlu_prox_de_nothink": {
|
| 901 |
"alias": "mmlu_prox_de_nothink",
|
| 902 |
"name": "mmlu_prox_de_nothink",
|
| 903 |
"sample_len": 11759,
|
| 904 |
+
"exact_match,custom-extract": 0.37052470448167363,
|
| 905 |
+
"exact_match_stderr,custom-extract": 0.004294092147584978,
|
| 906 |
"sample_count": {
|
| 907 |
"exact_match,custom-extract": 11759
|
| 908 |
}
|