datasetId stringlengths 2 117 | card stringlengths 19 1.01M |
|---|---|
KasparZ/HITL-2 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 721902
num_examples: 55
- name: test
num_bytes: 721902
num_examples: 55
download_size: 793340
dataset_size: 1443804
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
OALL/AlGhafa-Arabic-LLM-Benchmark-Translated | ---
dataset_info:
- config_name: arc_challenge_okapi_ar
features:
- name: query
dtype: string
- name: sol1
dtype: string
- name: sol2
dtype: string
- name: sol3
dtype: string
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dtype: string
- name: label
dtype: int64
splits:
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num_bytes: 478407
num_examples: 1160
- name: validation
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num_examples: 5
download_size: 263684
dataset_size: 480187
- config_name: arc_easy_ar
features:
- name: query
dtype: string
- name: sol1
dtype: string
- name: sol2
dtype: string
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dtype: string
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dtype: string
- name: label
dtype: int64
splits:
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num_bytes: 832686
num_examples: 2364
- name: validation
num_bytes: 1712
num_examples: 5
download_size: 443177
dataset_size: 834398
- config_name: boolq_ar
features:
- name: question
dtype: string
- name: passage
dtype: string
- name: answer
dtype: bool
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num_examples: 3260
- name: validation
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num_examples: 5
download_size: 1581745
dataset_size: 3106013
- config_name: copa_ext_ar
features:
- name: premise
dtype: string
- name: choice1
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- name: label
dtype: int64
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num_examples: 90
- name: validation
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num_examples: 5
download_size: 15714
dataset_size: 15362
- config_name: hellaswag_okapi_ar
features:
- name: ind
dtype: int64
- name: activity_label
dtype: string
- name: ctx_a
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- name: ctx
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- name: endings
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- name: source_id
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- name: label
dtype: int64
splits:
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num_examples: 9171
- name: validation
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num_examples: 5
download_size: 7411269
dataset_size: 15054312
- config_name: mmlu_okapi_ar
features:
- name: query
dtype: string
- name: sol1
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- name: label
dtype: int64
splits:
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num_examples: 12923
- name: validation
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num_examples: 5
download_size: 4233486
dataset_size: 7851156
- config_name: openbook_qa_ext_ar
features:
- name: query
dtype: string
- name: sol1
dtype: string
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splits:
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num_examples: 5
download_size: 71738
dataset_size: 113042
- config_name: piqa_ar
features:
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num_examples: 5
download_size: 383879
dataset_size: 719284
- config_name: race_ar
features:
- name: query
dtype: string
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num_examples: 5
download_size: 3426208
dataset_size: 13514213
- config_name: sciq_ar
features:
- name: question
dtype: string
- name: distractor3
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splits:
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num_examples: 995
- name: validation
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num_examples: 5
download_size: 439660
dataset_size: 885736
- config_name: toxigen_ar
features:
- name: text
dtype: string
- name: target_group
dtype: string
- name: factual?
dtype: string
- name: ingroup_effect
dtype: string
- name: lewd
dtype: string
- name: framing
dtype: string
- name: predicted_group
dtype: string
- name: stereotyping
dtype: string
- name: intent
dtype: float64
- name: toxicity_ai
dtype: float64
- name: toxicity_human
dtype: float64
- name: predicted_author
dtype: string
- name: actual_method
dtype: string
splits:
- name: test
num_bytes: 540217
num_examples: 935
- name: validation
num_bytes: 3029
num_examples: 5
download_size: 109449
dataset_size: 543246
configs:
- config_name: arc_challenge_okapi_ar
data_files:
- split: test
path: arc_challenge_okapi_ar/test-*
- split: validation
path: arc_challenge_okapi_ar/validation-*
- config_name: arc_easy_ar
data_files:
- split: test
path: arc_easy_ar/test-*
- split: validation
path: arc_easy_ar/validation-*
- config_name: boolq_ar
data_files:
- split: test
path: boolq_ar/test-*
- split: validation
path: boolq_ar/validation-*
- config_name: copa_ext_ar
data_files:
- split: test
path: copa_ext_ar/test-*
- split: validation
path: copa_ext_ar/validation-*
- config_name: hellaswag_okapi_ar
data_files:
- split: test
path: hellaswag_okapi_ar/test-*
- split: validation
path: hellaswag_okapi_ar/validation-*
- config_name: mmlu_okapi_ar
data_files:
- split: test
path: mmlu_okapi_ar/test-*
- split: validation
path: mmlu_okapi_ar/validation-*
- config_name: openbook_qa_ext_ar
data_files:
- split: test
path: openbook_qa_ext_ar/test-*
- split: validation
path: openbook_qa_ext_ar/validation-*
- config_name: piqa_ar
data_files:
- split: test
path: piqa_ar/test-*
- split: validation
path: piqa_ar/validation-*
- config_name: race_ar
data_files:
- split: test
path: race_ar/test-*
- split: validation
path: race_ar/validation-*
- config_name: sciq_ar
data_files:
- split: test
path: sciq_ar/test-*
- split: validation
path: sciq_ar/validation-*
- config_name: toxigen_ar
data_files:
- split: test
path: toxigen_ar/test-*
- split: validation
path: toxigen_ar/validation-*
---
|
irds/msmarco-document_trec-dl-hard_fold1 | ---
pretty_name: '`msmarco-document/trec-dl-hard/fold1`'
viewer: false
source_datasets: ['irds/msmarco-document']
task_categories:
- text-retrieval
---
# Dataset Card for `msmarco-document/trec-dl-hard/fold1`
The `msmarco-document/trec-dl-hard/fold1` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/msmarco-document#msmarco-document/trec-dl-hard/fold1).
# Data
This dataset provides:
- `queries` (i.e., topics); count=10
- `qrels`: (relevance assessments); count=1,557
- For `docs`, use [`irds/msmarco-document`](https://huggingface.co/datasets/irds/msmarco-document)
## Usage
```python
from datasets import load_dataset
queries = load_dataset('irds/msmarco-document_trec-dl-hard_fold1', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
qrels = load_dataset('irds/msmarco-document_trec-dl-hard_fold1', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ...}
```
Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.
## Citation Information
```
@article{Mackie2021DlHard,
title={How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset},
author={Iain Mackie and Jeffrey Dalton and Andrew Yates},
journal={ArXiv},
year={2021},
volume={abs/2105.07975}
}
@inproceedings{Bajaj2016Msmarco,
title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},
author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang},
booktitle={InCoCo@NIPS},
year={2016}
}
```
|
open-llm-leaderboard/details_damerajee__Oot-v2_lll | ---
pretty_name: Evaluation run of damerajee/Oot-v2_lll
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [damerajee/Oot-v2_lll](https://huggingface.co/damerajee/Oot-v2_lll) on the [Open\
\ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 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.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_damerajee__Oot-v2_lll\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-01-13T15:05:46.112716](https://huggingface.co/datasets/open-llm-leaderboard/details_damerajee__Oot-v2_lll/blob/main/results_2024-01-13T15-05-46.112716.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6541530142901238,\n\
\ \"acc_stderr\": 0.03197706952839702,\n \"acc_norm\": 0.6540116792008602,\n\
\ \"acc_norm_stderr\": 0.03263780198638047,\n \"mc1\": 0.46266829865361075,\n\
\ \"mc1_stderr\": 0.01745464515097059,\n \"mc2\": 0.6256716337528857,\n\
\ \"mc2_stderr\": 0.01513290351648502\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6655290102389079,\n \"acc_stderr\": 0.013787460322441372,\n\
\ \"acc_norm\": 0.6928327645051194,\n \"acc_norm_stderr\": 0.013481034054980941\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6799442342162916,\n\
\ \"acc_stderr\": 0.004655442766599467,\n \"acc_norm\": 0.8659629555865366,\n\
\ \"acc_norm_stderr\": 0.003399958334372064\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\
\ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\
\ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.7171052631578947,\n \"acc_stderr\": 0.03665349695640767,\n\
\ \"acc_norm\": 0.7171052631578947,\n \"acc_norm_stderr\": 0.03665349695640767\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\
\ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \
\ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7169811320754716,\n \"acc_stderr\": 0.027724236492700918,\n\
\ \"acc_norm\": 0.7169811320754716,\n \"acc_norm_stderr\": 0.027724236492700918\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\
\ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\
\ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\"\
: 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\
\ \"acc_stderr\": 0.03614665424180826,\n \"acc_norm\": 0.6589595375722543,\n\
\ \"acc_norm_stderr\": 0.03614665424180826\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\
\ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\
\ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5914893617021276,\n \"acc_stderr\": 0.032134180267015755,\n\
\ \"acc_norm\": 0.5914893617021276,\n \"acc_norm_stderr\": 0.032134180267015755\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\
\ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\
\ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\
\ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.4365079365079365,\n \"acc_stderr\": 0.0255428468174005,\n \"acc_norm\"\
: 0.4365079365079365,\n \"acc_norm_stderr\": 0.0255428468174005\n },\n\
\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4603174603174603,\n\
\ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\
\ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7838709677419354,\n\
\ \"acc_stderr\": 0.02341529343356853,\n \"acc_norm\": 0.7838709677419354,\n\
\ \"acc_norm_stderr\": 0.02341529343356853\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n\
\ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
: 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.797979797979798,\n \"acc_stderr\": 0.028606204289229872,\n \"\
acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229872\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\
\ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.6641025641025641,\n \"acc_stderr\": 0.023946724741563976,\n\
\ \"acc_norm\": 0.6641025641025641,\n \"acc_norm_stderr\": 0.023946724741563976\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3333333333333333,\n \"acc_stderr\": 0.02874204090394848,\n \
\ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.02874204090394848\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.029953823891887034,\n\
\ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.029953823891887034\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\
acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8568807339449541,\n \"acc_stderr\": 0.015014462497168589,\n \"\
acc_norm\": 0.8568807339449541,\n \"acc_norm_stderr\": 0.015014462497168589\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\
acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8235294117647058,\n \"acc_stderr\": 0.026756401538078966,\n \"\
acc_norm\": 0.8235294117647058,\n \"acc_norm_stderr\": 0.026756401538078966\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8059071729957806,\n \"acc_stderr\": 0.025744902532290913,\n \
\ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.025744902532290913\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\
\ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\
\ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624734,\n\
\ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624734\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990946,\n \"\
acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990946\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\
\ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\
\ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\
\ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\
\ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\
\ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\
\ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\
\ \"acc_stderr\": 0.022509033937077805,\n \"acc_norm\": 0.8632478632478633,\n\
\ \"acc_norm_stderr\": 0.022509033937077805\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768079,\n \
\ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768079\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8326947637292464,\n\
\ \"acc_stderr\": 0.013347327202920332,\n \"acc_norm\": 0.8326947637292464,\n\
\ \"acc_norm_stderr\": 0.013347327202920332\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7485549132947977,\n \"acc_stderr\": 0.02335736578587403,\n\
\ \"acc_norm\": 0.7485549132947977,\n \"acc_norm_stderr\": 0.02335736578587403\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4,\n\
\ \"acc_stderr\": 0.01638463841038082,\n \"acc_norm\": 0.4,\n \
\ \"acc_norm_stderr\": 0.01638463841038082\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.02545775669666788,\n\
\ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.02545775669666788\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.707395498392283,\n\
\ \"acc_stderr\": 0.02583989833487798,\n \"acc_norm\": 0.707395498392283,\n\
\ \"acc_norm_stderr\": 0.02583989833487798\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7561728395061729,\n \"acc_stderr\": 0.023891879541959607,\n\
\ \"acc_norm\": 0.7561728395061729,\n \"acc_norm_stderr\": 0.023891879541959607\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5,\n \"acc_stderr\": 0.029827499313594685,\n \"acc_norm\"\
: 0.5,\n \"acc_norm_stderr\": 0.029827499313594685\n },\n \"harness|hendrycksTest-professional_law|5\"\
: {\n \"acc\": 0.4706649282920469,\n \"acc_stderr\": 0.012748238397365549,\n\
\ \"acc_norm\": 0.4706649282920469,\n \"acc_norm_stderr\": 0.012748238397365549\n\
\ },\n \"harness|hendrycksTest-professional_medicine|5\": {\n \"acc\"\
: 0.6911764705882353,\n \"acc_stderr\": 0.02806499816704009,\n \"\
acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.02806499816704009\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6813725490196079,\n \"acc_stderr\": 0.01885008469646872,\n \
\ \"acc_norm\": 0.6813725490196079,\n \"acc_norm_stderr\": 0.01885008469646872\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7428571428571429,\n \"acc_stderr\": 0.02797982353874455,\n\
\ \"acc_norm\": 0.7428571428571429,\n \"acc_norm_stderr\": 0.02797982353874455\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\
\ \"acc_stderr\": 0.02553843336857833,\n \"acc_norm\": 0.845771144278607,\n\
\ \"acc_norm_stderr\": 0.02553843336857833\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\
\ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\
\ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.46266829865361075,\n\
\ \"mc1_stderr\": 0.01745464515097059,\n \"mc2\": 0.6256716337528857,\n\
\ \"mc2_stderr\": 0.01513290351648502\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8082083662194159,\n \"acc_stderr\": 0.011065209664659527\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7217589082638363,\n \
\ \"acc_stderr\": 0.012343803671422677\n }\n}\n```"
repo_url: https://huggingface.co/damerajee/Oot-v2_lll
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|arc:challenge|25_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|gsm8k|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hellaswag|10_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T15-05-46.112716.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-13T15-05-46.112716.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- '**/details_harness|winogrande|5_2024-01-13T15-05-46.112716.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-01-13T15-05-46.112716.parquet'
- config_name: results
data_files:
- split: 2024_01_13T15_05_46.112716
path:
- results_2024-01-13T15-05-46.112716.parquet
- split: latest
path:
- results_2024-01-13T15-05-46.112716.parquet
---
# Dataset Card for Evaluation run of damerajee/Oot-v2_lll
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [damerajee/Oot-v2_lll](https://huggingface.co/damerajee/Oot-v2_lll) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_damerajee__Oot-v2_lll",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-01-13T15:05:46.112716](https://huggingface.co/datasets/open-llm-leaderboard/details_damerajee__Oot-v2_lll/blob/main/results_2024-01-13T15-05-46.112716.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):
```python
{
"all": {
"acc": 0.6541530142901238,
"acc_stderr": 0.03197706952839702,
"acc_norm": 0.6540116792008602,
"acc_norm_stderr": 0.03263780198638047,
"mc1": 0.46266829865361075,
"mc1_stderr": 0.01745464515097059,
"mc2": 0.6256716337528857,
"mc2_stderr": 0.01513290351648502
},
"harness|arc:challenge|25": {
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"harness|hendrycksTest-world_religions|5": {
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"harness|truthfulqa:mc|0": {
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"harness|winogrande|5": {
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},
"harness|gsm8k|5": {
"acc": 0.7217589082638363,
"acc_stderr": 0.012343803671422677
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## Dataset Card Contact
[More Information Needed] |
felipesampaio2010/clarestaravenska | ---
license: openrail
---
|
tyzhu/squad_qa_title_v5_full_last_permute | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: answer
dtype: string
- name: context_id
dtype: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 7724566.286747957
num_examples: 4778
- name: validation
num_bytes: 353148
num_examples: 300
download_size: 1323670
dataset_size: 8077714.286747957
---
# Dataset Card for "squad_qa_title_v5_full_last_permute"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
open-llm-leaderboard/details_Epiculous__Mika-7B | ---
pretty_name: Evaluation run of Epiculous/Mika-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Epiculous/Mika-7B](https://huggingface.co/Epiculous/Mika-7B) on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 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.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Epiculous__Mika-7B\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-03-11T18:07:57.740067](https://huggingface.co/datasets/open-llm-leaderboard/details_Epiculous__Mika-7B/blob/main/results_2024-03-11T18-07-57.740067.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.59715272914875,\n\
\ \"acc_stderr\": 0.03311922309154774,\n \"acc_norm\": 0.6034733862012912,\n\
\ \"acc_norm_stderr\": 0.03380074400034284,\n \"mc1\": 0.5397796817625459,\n\
\ \"mc1_stderr\": 0.017448017223960874,\n \"mc2\": 0.6957046246525949,\n\
\ \"mc2_stderr\": 0.015188535752571326\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5930034129692833,\n \"acc_stderr\": 0.01435639941800912,\n\
\ \"acc_norm\": 0.6348122866894198,\n \"acc_norm_stderr\": 0.014070265519268804\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6835291774546903,\n\
\ \"acc_stderr\": 0.004641484273335095,\n \"acc_norm\": 0.8544114718183629,\n\
\ \"acc_norm_stderr\": 0.003519724163310886\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.562962962962963,\n\
\ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\
\ \"acc_norm_stderr\": 0.04284958639753401\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \
\ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\
\ \"acc_stderr\": 0.049999999999999996,\n \"acc_norm\": 0.55,\n \
\ \"acc_norm_stderr\": 0.049999999999999996\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.02863723563980089,\n\
\ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.02863723563980089\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6875,\n\
\ \"acc_stderr\": 0.038760854559127644,\n \"acc_norm\": 0.6875,\n\
\ \"acc_norm_stderr\": 0.038760854559127644\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n\
\ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5491329479768786,\n\
\ \"acc_stderr\": 0.03794012674697029,\n \"acc_norm\": 0.5491329479768786,\n\
\ \"acc_norm_stderr\": 0.03794012674697029\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107224,\n\
\ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107224\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\
\ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.4851063829787234,\n \"acc_stderr\": 0.032671518489247764,\n\
\ \"acc_norm\": 0.4851063829787234,\n \"acc_norm_stderr\": 0.032671518489247764\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.42105263157894735,\n\
\ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.42105263157894735,\n\
\ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.6068965517241379,\n \"acc_stderr\": 0.0407032901370707,\n\
\ \"acc_norm\": 0.6068965517241379,\n \"acc_norm_stderr\": 0.0407032901370707\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.36507936507936506,\n \"acc_stderr\": 0.02479606060269995,\n \"\
acc_norm\": 0.36507936507936506,\n \"acc_norm_stderr\": 0.02479606060269995\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4126984126984127,\n\
\ \"acc_stderr\": 0.04403438954768176,\n \"acc_norm\": 0.4126984126984127,\n\
\ \"acc_norm_stderr\": 0.04403438954768176\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.5838709677419355,\n\
\ \"acc_stderr\": 0.028040981380761547,\n \"acc_norm\": 0.5838709677419355,\n\
\ \"acc_norm_stderr\": 0.028040981380761547\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\
\ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\"\
: 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7515151515151515,\n \"acc_stderr\": 0.033744026441394036,\n\
\ \"acc_norm\": 0.7515151515151515,\n \"acc_norm_stderr\": 0.033744026441394036\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\
acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153327,\n\
\ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153327\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5461538461538461,\n \"acc_stderr\": 0.025242770987126184,\n\
\ \"acc_norm\": 0.5461538461538461,\n \"acc_norm_stderr\": 0.025242770987126184\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \
\ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.031041941304059278,\n\
\ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.031041941304059278\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7779816513761468,\n \"acc_stderr\": 0.017818849564796634,\n \"\
acc_norm\": 0.7779816513761468,\n \"acc_norm_stderr\": 0.017818849564796634\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4537037037037037,\n \"acc_stderr\": 0.03395322726375797,\n \"\
acc_norm\": 0.4537037037037037,\n \"acc_norm_stderr\": 0.03395322726375797\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7696078431372549,\n \"acc_stderr\": 0.029554292605695066,\n \"\
acc_norm\": 0.7696078431372549,\n \"acc_norm_stderr\": 0.029554292605695066\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7679324894514767,\n \"acc_stderr\": 0.027479744550808507,\n \
\ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.027479744550808507\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6233183856502242,\n\
\ \"acc_stderr\": 0.032521134899291884,\n \"acc_norm\": 0.6233183856502242,\n\
\ \"acc_norm_stderr\": 0.032521134899291884\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306086,\n\
\ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306086\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909476,\n \"\
acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909476\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\
\ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\
\ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615624,\n\
\ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615624\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\
\ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\
\ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.7184466019417476,\n \"acc_stderr\": 0.04453254836326466,\n\
\ \"acc_norm\": 0.7184466019417476,\n \"acc_norm_stderr\": 0.04453254836326466\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\
\ \"acc_stderr\": 0.02280138253459756,\n \"acc_norm\": 0.8589743589743589,\n\
\ \"acc_norm_stderr\": 0.02280138253459756\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \
\ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252609\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7701149425287356,\n\
\ \"acc_stderr\": 0.015046301846691815,\n \"acc_norm\": 0.7701149425287356,\n\
\ \"acc_norm_stderr\": 0.015046301846691815\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6936416184971098,\n \"acc_stderr\": 0.024818350129436593,\n\
\ \"acc_norm\": 0.6936416184971098,\n \"acc_norm_stderr\": 0.024818350129436593\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3027932960893855,\n\
\ \"acc_stderr\": 0.015366860386397108,\n \"acc_norm\": 0.3027932960893855,\n\
\ \"acc_norm_stderr\": 0.015366860386397108\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6633986928104575,\n \"acc_stderr\": 0.027057974624494382,\n\
\ \"acc_norm\": 0.6633986928104575,\n \"acc_norm_stderr\": 0.027057974624494382\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6816720257234726,\n\
\ \"acc_stderr\": 0.026457225067811025,\n \"acc_norm\": 0.6816720257234726,\n\
\ \"acc_norm_stderr\": 0.026457225067811025\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6944444444444444,\n \"acc_stderr\": 0.025630824975621344,\n\
\ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.025630824975621344\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.42907801418439717,\n \"acc_stderr\": 0.02952591430255856,\n \
\ \"acc_norm\": 0.42907801418439717,\n \"acc_norm_stderr\": 0.02952591430255856\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.41851368970013036,\n\
\ \"acc_stderr\": 0.012599505608336455,\n \"acc_norm\": 0.41851368970013036,\n\
\ \"acc_norm_stderr\": 0.012599505608336455\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6176470588235294,\n \"acc_stderr\": 0.029520095697687765,\n\
\ \"acc_norm\": 0.6176470588235294,\n \"acc_norm_stderr\": 0.029520095697687765\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.630718954248366,\n \"acc_stderr\": 0.01952431674486635,\n \
\ \"acc_norm\": 0.630718954248366,\n \"acc_norm_stderr\": 0.01952431674486635\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7272727272727273,\n\
\ \"acc_stderr\": 0.04265792110940589,\n \"acc_norm\": 0.7272727272727273,\n\
\ \"acc_norm_stderr\": 0.04265792110940589\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\
\ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7114427860696517,\n\
\ \"acc_stderr\": 0.032038410402133226,\n \"acc_norm\": 0.7114427860696517,\n\
\ \"acc_norm_stderr\": 0.032038410402133226\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \
\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.46987951807228917,\n\
\ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\
\ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8538011695906432,\n \"acc_stderr\": 0.02709729011807082,\n\
\ \"acc_norm\": 0.8538011695906432,\n \"acc_norm_stderr\": 0.02709729011807082\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5397796817625459,\n\
\ \"mc1_stderr\": 0.017448017223960874,\n \"mc2\": 0.6957046246525949,\n\
\ \"mc2_stderr\": 0.015188535752571326\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7490134175217048,\n \"acc_stderr\": 0.01218577622051615\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2850644427596664,\n \
\ \"acc_stderr\": 0.012435042334904004\n }\n}\n```"
repo_url: https://huggingface.co/Epiculous/Mika-7B
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|arc:challenge|25_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|gsm8k|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hellaswag|10_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-11T18-07-57.740067.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-11T18-07-57.740067.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- '**/details_harness|winogrande|5_2024-03-11T18-07-57.740067.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-03-11T18-07-57.740067.parquet'
- config_name: results
data_files:
- split: 2024_03_11T18_07_57.740067
path:
- results_2024-03-11T18-07-57.740067.parquet
- split: latest
path:
- results_2024-03-11T18-07-57.740067.parquet
---
# Dataset Card for Evaluation run of Epiculous/Mika-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Epiculous/Mika-7B](https://huggingface.co/Epiculous/Mika-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Epiculous__Mika-7B",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-03-11T18:07:57.740067](https://huggingface.co/datasets/open-llm-leaderboard/details_Epiculous__Mika-7B/blob/main/results_2024-03-11T18-07-57.740067.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):
```python
{
"all": {
"acc": 0.59715272914875,
"acc_stderr": 0.03311922309154774,
"acc_norm": 0.6034733862012912,
"acc_norm_stderr": 0.03380074400034284,
"mc1": 0.5397796817625459,
"mc1_stderr": 0.017448017223960874,
"mc2": 0.6957046246525949,
"mc2_stderr": 0.015188535752571326
},
"harness|arc:challenge|25": {
"acc": 0.5930034129692833,
"acc_stderr": 0.01435639941800912,
"acc_norm": 0.6348122866894198,
"acc_norm_stderr": 0.014070265519268804
},
"harness|hellaswag|10": {
"acc": 0.6835291774546903,
"acc_stderr": 0.004641484273335095,
"acc_norm": 0.8544114718183629,
"acc_norm_stderr": 0.003519724163310886
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.562962962962963,
"acc_stderr": 0.04284958639753401,
"acc_norm": 0.562962962962963,
"acc_norm_stderr": 0.04284958639753401
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.625,
"acc_stderr": 0.039397364351956274,
"acc_norm": 0.625,
"acc_norm_stderr": 0.039397364351956274
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.55,
"acc_stderr": 0.049999999999999996,
"acc_norm": 0.55,
"acc_norm_stderr": 0.049999999999999996
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6830188679245283,
"acc_stderr": 0.02863723563980089,
"acc_norm": 0.6830188679245283,
"acc_norm_stderr": 0.02863723563980089
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6875,
"acc_stderr": 0.038760854559127644,
"acc_norm": 0.6875,
"acc_norm_stderr": 0.038760854559127644
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.38,
"acc_stderr": 0.04878317312145633,
"acc_norm": 0.38,
"acc_norm_stderr": 0.04878317312145633
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.5,
"acc_stderr": 0.050251890762960605,
"acc_norm": 0.5,
"acc_norm_stderr": 0.050251890762960605
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.5491329479768786,
"acc_stderr": 0.03794012674697029,
"acc_norm": 0.5491329479768786,
"acc_norm_stderr": 0.03794012674697029
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.38235294117647056,
"acc_stderr": 0.04835503696107224,
"acc_norm": 0.38235294117647056,
"acc_norm_stderr": 0.04835503696107224
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.71,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.71,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.4851063829787234,
"acc_stderr": 0.032671518489247764,
"acc_norm": 0.4851063829787234,
"acc_norm_stderr": 0.032671518489247764
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.42105263157894735,
"acc_stderr": 0.046446020912223177,
"acc_norm": 0.42105263157894735,
"acc_norm_stderr": 0.046446020912223177
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.6068965517241379,
"acc_stderr": 0.0407032901370707,
"acc_norm": 0.6068965517241379,
"acc_norm_stderr": 0.0407032901370707
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.36507936507936506,
"acc_stderr": 0.02479606060269995,
"acc_norm": 0.36507936507936506,
"acc_norm_stderr": 0.02479606060269995
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.4126984126984127,
"acc_stderr": 0.04403438954768176,
"acc_norm": 0.4126984126984127,
"acc_norm_stderr": 0.04403438954768176
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.5838709677419355,
"acc_stderr": 0.028040981380761547,
"acc_norm": 0.5838709677419355,
"acc_norm_stderr": 0.028040981380761547
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5024630541871922,
"acc_stderr": 0.035179450386910616,
"acc_norm": 0.5024630541871922,
"acc_norm_stderr": 0.035179450386910616
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.6,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.6,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7515151515151515,
"acc_stderr": 0.033744026441394036,
"acc_norm": 0.7515151515151515,
"acc_norm_stderr": 0.033744026441394036
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7676767676767676,
"acc_stderr": 0.030088629490217487,
"acc_norm": 0.7676767676767676,
"acc_norm_stderr": 0.030088629490217487
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.844559585492228,
"acc_stderr": 0.026148483469153327,
"acc_norm": 0.844559585492228,
"acc_norm_stderr": 0.026148483469153327
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.5461538461538461,
"acc_stderr": 0.025242770987126184,
"acc_norm": 0.5461538461538461,
"acc_norm_stderr": 0.025242770987126184
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.28888888888888886,
"acc_stderr": 0.027634907264178544,
"acc_norm": 0.28888888888888886,
"acc_norm_stderr": 0.027634907264178544
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.6470588235294118,
"acc_stderr": 0.031041941304059278,
"acc_norm": 0.6470588235294118,
"acc_norm_stderr": 0.031041941304059278
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.33774834437086093,
"acc_stderr": 0.03861557546255169,
"acc_norm": 0.33774834437086093,
"acc_norm_stderr": 0.03861557546255169
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.7779816513761468,
"acc_stderr": 0.017818849564796634,
"acc_norm": 0.7779816513761468,
"acc_norm_stderr": 0.017818849564796634
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.4537037037037037,
"acc_stderr": 0.03395322726375797,
"acc_norm": 0.4537037037037037,
"acc_norm_stderr": 0.03395322726375797
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7696078431372549,
"acc_stderr": 0.029554292605695066,
"acc_norm": 0.7696078431372549,
"acc_norm_stderr": 0.029554292605695066
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7679324894514767,
"acc_stderr": 0.027479744550808507,
"acc_norm": 0.7679324894514767,
"acc_norm_stderr": 0.027479744550808507
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6233183856502242,
"acc_stderr": 0.032521134899291884,
"acc_norm": 0.6233183856502242,
"acc_norm_stderr": 0.032521134899291884
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7480916030534351,
"acc_stderr": 0.03807387116306086,
"acc_norm": 0.7480916030534351,
"acc_norm_stderr": 0.03807387116306086
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.8016528925619835,
"acc_stderr": 0.036401182719909476,
"acc_norm": 0.8016528925619835,
"acc_norm_stderr": 0.036401182719909476
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.7314814814814815,
"acc_stderr": 0.042844679680521934,
"acc_norm": 0.7314814814814815,
"acc_norm_stderr": 0.042844679680521934
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.7361963190184049,
"acc_stderr": 0.03462419931615624,
"acc_norm": 0.7361963190184049,
"acc_norm_stderr": 0.03462419931615624
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.4107142857142857,
"acc_stderr": 0.04669510663875191,
"acc_norm": 0.4107142857142857,
"acc_norm_stderr": 0.04669510663875191
},
"harness|hendrycksTest-management|5": {
"acc": 0.7184466019417476,
"acc_stderr": 0.04453254836326466,
"acc_norm": 0.7184466019417476,
"acc_norm_stderr": 0.04453254836326466
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.8589743589743589,
"acc_stderr": 0.02280138253459756,
"acc_norm": 0.8589743589743589,
"acc_norm_stderr": 0.02280138253459756
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.67,
"acc_stderr": 0.04725815626252609,
"acc_norm": 0.67,
"acc_norm_stderr": 0.04725815626252609
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.7701149425287356,
"acc_stderr": 0.015046301846691815,
"acc_norm": 0.7701149425287356,
"acc_norm_stderr": 0.015046301846691815
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.6936416184971098,
"acc_stderr": 0.024818350129436593,
"acc_norm": 0.6936416184971098,
"acc_norm_stderr": 0.024818350129436593
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.3027932960893855,
"acc_stderr": 0.015366860386397108,
"acc_norm": 0.3027932960893855,
"acc_norm_stderr": 0.015366860386397108
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.6633986928104575,
"acc_stderr": 0.027057974624494382,
"acc_norm": 0.6633986928104575,
"acc_norm_stderr": 0.027057974624494382
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.6816720257234726,
"acc_stderr": 0.026457225067811025,
"acc_norm": 0.6816720257234726,
"acc_norm_stderr": 0.026457225067811025
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.6944444444444444,
"acc_stderr": 0.025630824975621344,
"acc_norm": 0.6944444444444444,
"acc_norm_stderr": 0.025630824975621344
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.42907801418439717,
"acc_stderr": 0.02952591430255856,
"acc_norm": 0.42907801418439717,
"acc_norm_stderr": 0.02952591430255856
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.41851368970013036,
"acc_stderr": 0.012599505608336455,
"acc_norm": 0.41851368970013036,
"acc_norm_stderr": 0.012599505608336455
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.6176470588235294,
"acc_stderr": 0.029520095697687765,
"acc_norm": 0.6176470588235294,
"acc_norm_stderr": 0.029520095697687765
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.630718954248366,
"acc_stderr": 0.01952431674486635,
"acc_norm": 0.630718954248366,
"acc_norm_stderr": 0.01952431674486635
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.7272727272727273,
"acc_stderr": 0.04265792110940589,
"acc_norm": 0.7272727272727273,
"acc_norm_stderr": 0.04265792110940589
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.7224489795918367,
"acc_stderr": 0.02866685779027465,
"acc_norm": 0.7224489795918367,
"acc_norm_stderr": 0.02866685779027465
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.7114427860696517,
"acc_stderr": 0.032038410402133226,
"acc_norm": 0.7114427860696517,
"acc_norm_stderr": 0.032038410402133226
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.81,
"acc_stderr": 0.03942772444036625,
"acc_norm": 0.81,
"acc_norm_stderr": 0.03942772444036625
},
"harness|hendrycksTest-virology|5": {
"acc": 0.46987951807228917,
"acc_stderr": 0.03885425420866766,
"acc_norm": 0.46987951807228917,
"acc_norm_stderr": 0.03885425420866766
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8538011695906432,
"acc_stderr": 0.02709729011807082,
"acc_norm": 0.8538011695906432,
"acc_norm_stderr": 0.02709729011807082
},
"harness|truthfulqa:mc|0": {
"mc1": 0.5397796817625459,
"mc1_stderr": 0.017448017223960874,
"mc2": 0.6957046246525949,
"mc2_stderr": 0.015188535752571326
},
"harness|winogrande|5": {
"acc": 0.7490134175217048,
"acc_stderr": 0.01218577622051615
},
"harness|gsm8k|5": {
"acc": 0.2850644427596664,
"acc_stderr": 0.012435042334904004
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |
heliosprime/twitter_dataset_1713222181 | ---
dataset_info:
features:
- name: id
dtype: string
- name: tweet_content
dtype: string
- name: user_name
dtype: string
- name: user_id
dtype: string
- name: created_at
dtype: string
- name: url
dtype: string
- name: favourite_count
dtype: int64
- name: scraped_at
dtype: string
- name: image_urls
dtype: string
splits:
- name: train
num_bytes: 31545
num_examples: 89
download_size: 26186
dataset_size: 31545
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "twitter_dataset_1713222181"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
autoevaluate/autoeval-eval-futin__feed-top_en_-3f631c-2246071661 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-66b
metrics: []
dataset_name: futin/feed
dataset_config: top_en_
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: futin/feed
* Config: top_en_
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. |
nuprl/stack_dedup_lua_codegen_full | ---
dataset_info:
features:
- name: content
dtype: string
- name: pass_rate
dtype: float64
- name: id
dtype: int64
- name: original_id
dtype: int64
- name: tests
dtype: string
- name: edu_score
dtype: float64
splits:
- name: train
num_bytes: 152206357
num_examples: 117557
download_size: 51503174
dataset_size: 152206357
---
# Dataset Card for "stack_dedup_lua_codegen_full"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
atomi-labs/sml_gold_schema_test | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: subject_group_code
dtype: string
- name: question_type
dtype: string
- name: reference_answer_type
dtype: string
- name: question
dtype: string
- name: reference_answer
dtype: string
- name: student_answer
dtype: string
- name: label
dtype: string
- name: test_type
dtype: string
- name: text
dtype: string
- name: question_unique_id
dtype: string
- name: question_attempt_id
dtype: string
- name: confidence_score
dtype: float64
- name: labelling_postprocessing_run_timestamp
dtype: string
- name: post_id
dtype: int64
- name: module_id
dtype: int64
- name: topic_id
dtype: int64
- name: subtopic_id
dtype: int64
- name: question_attempt_timestamp
dtype: 'null'
- name: html_url
dtype: 'null'
- name: annotation_type_category
dtype: string
- name: annotation_type
dtype: string
- name: labelling_function
dtype: string
- name: dataset_preparation_run_id
dtype: string
- name: labelling_postprocessing_run_id
dtype: string
splits:
- name: train
num_bytes: 1804613
num_examples: 1364
- name: test
num_bytes: 1117505
num_examples: 893
download_size: 637008
dataset_size: 2922118
---
# Dataset Card for "sml_gold_schema_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
fia24/including_200 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '1'
'1': '10'
'2': '100'
'3': '1000'
'4': '2'
'5': '20'
'6': '200'
'7': '5'
'8': '50'
'9': '500'
splits:
- name: train
num_bytes: 80251809.05
num_examples: 8500
- name: test
num_bytes: 14147239.95
num_examples: 1500
download_size: 88688092
dataset_size: 94399049.0
---
# Dataset Card for "including_200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
autoevaluate/autoeval-staging-eval-samsum-samsum-85416c-15556147 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- samsum
eval_info:
task: summarization
model: facebook/bart-large-cnn
metrics: ['rouge', 'mse', 'mae', 'squad']
dataset_name: samsum
dataset_config: samsum
dataset_split: validation
col_mapping:
text: dialogue
target: summary
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@SamuelAllen12345](https://huggingface.co/SamuelAllen12345) for evaluating this model. |
setswana_ner_corpus | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- tn
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: Setswana NER Corpus
license_details: Creative Commons Attribution 2.5 South Africa License
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': OUT
'1': B-PERS
'2': I-PERS
'3': B-ORG
'4': I-ORG
'5': B-LOC
'6': I-LOC
'7': B-MISC
'8': I-MISC
config_name: setswana_ner_corpus
splits:
- name: train
num_bytes: 3874793
num_examples: 7944
download_size: 25905236
dataset_size: 3874793
---
# Dataset Card for Setswana NER Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [Setswana Ner Corpus Homepage](https://repo.sadilar.org/handle/20.500.12185/319)
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** [Martin Puttkammer](mailto:Martin.Puttkammer@nwu.ac.za)
### Dataset Summary
The Setswana Ner Corpus is a Setswana dataset developed by [The Centre for Text Technology (CTexT), North-West University, South Africa](http://humanities.nwu.ac.za/ctext). The data is based on documents from the South African goverment domain and crawled from gov.za websites. It was created to support NER task for Setswana language. The dataset uses CoNLL shared task annotation standards.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
The language supported is Setswana.
## Dataset Structure
### Data Instances
A data point consists of sentences seperated by empty line and tab-seperated tokens and tags.
```
{'id': '0',
'ner_tags': [0, 0, 0, 0, 0],
'tokens': ['Ka', 'dinako', 'dingwe', ',', 'go']
}
```
### Data Fields
- `id`: id of the sample
- `tokens`: the tokens of the example text
- `ner_tags`: the NER tags of each token
The NER tags correspond to this list:
```
"OUT", "B-PERS", "I-PERS", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC",
```
The NER tags have the same format as in the CoNLL shared task: a B denotes the first item of a phrase and an I any non-initial word. There are four types of phrases: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). (OUT) is used for tokens not considered part of any named entity.
### Data Splits
The data was not split.
## Dataset Creation
### Curation Rationale
The data was created to help introduce resources to new language - setswana.
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
The data is based on South African government domain and was crawled from gov.za websites.
[More Information Needed]
#### Who are the source language producers?
The data was produced by writers of South African government websites - gov.za
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
The data was annotated during the NCHLT text resource development project.
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
The annotated data sets were developed by the Centre for Text Technology (CTexT, North-West University, South Africa).
See: [more information](http://www.nwu.ac.za/ctext)
### Licensing Information
The data is under the [Creative Commons Attribution 2.5 South Africa License](http://creativecommons.org/licenses/by/2.5/za/legalcode)
### Citation Information
```
@inproceedings{sepedi_ner_corpus,
author = {S.S.B.M. Phakedi and
Roald Eiselen},
title = {NCHLT Setswana Named Entity Annotated Corpus},
booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.},
year = {2016},
url = {https://repo.sadilar.org/handle/20.500.12185/341},
}
```
### Contributions
Thanks to [@yvonnegitau](https://github.com/yvonnegitau) for adding this dataset. |
basilis/wvDataset2 | ---
dataset_info:
features:
- name: tokenized_text
sequence: string
splits:
- name: train
num_bytes: 6675666248
num_examples: 97928
download_size: 1690147799
dataset_size: 6675666248
---
# Dataset Card for "wvDataset2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
NobodyExistsOnTheInternet/12000kLongConversations | ---
license: mit
---
A 12000 token long conversation dataset
Why did i do this? |
autoevaluate/autoeval-eval-futin__guess-vi_3-3e6f1a-2087867178 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/guess
eval_info:
task: text_zero_shot_classification
model: bigscience/bloomz-1b1
metrics: []
dataset_name: futin/guess
dataset_config: vi_3
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloomz-1b1
* Dataset: futin/guess
* Config: vi_3
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. |
open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft | ---
pretty_name: Evaluation run of dfurman/llama-2-70b-dolphin-peft
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [dfurman/llama-2-70b-dolphin-peft](https://huggingface.co/dfurman/llama-2-70b-dolphin-peft)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe 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.\n\
\nAn 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)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-10-05T00:46:08.934942](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft/blob/main/results_2023-10-05T00-46-08.934942.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):\n\n```python\n{\n \"all\": {\n \"em\": 0.002307046979865772,\n\
\ \"em_stderr\": 0.0004913221265094568,\n \"f1\": 0.0702915268456376,\n\
\ \"f1_stderr\": 0.0014330013107730173,\n \"acc\": 0.5563409652980272,\n\
\ \"acc_stderr\": 0.011305358161874588\n },\n \"harness|drop|3\": {\n\
\ \"em\": 0.002307046979865772,\n \"em_stderr\": 0.0004913221265094568,\n\
\ \"f1\": 0.0702915268456376,\n \"f1_stderr\": 0.0014330013107730173\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.27369219105382864,\n \
\ \"acc_stderr\": 0.012281003490963456\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8389897395422258,\n \"acc_stderr\": 0.01032971283278572\n\
\ }\n}\n```"
repo_url: https://huggingface.co/dfurman/llama-2-70b-dolphin-peft
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|arc:challenge|25_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_10_05T00_46_08.934942
path:
- '**/details_harness|drop|3_2023-10-05T00-46-08.934942.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-10-05T00-46-08.934942.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_10_05T00_46_08.934942
path:
- '**/details_harness|gsm8k|5_2023-10-05T00-46-08.934942.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-10-05T00-46-08.934942.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hellaswag|10_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-04T21:00:53.208892.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-management|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-virology|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- '**/details_harness|truthfulqa:mc|0_2023-08-04T21:00:53.208892.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-08-04T21:00:53.208892.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_10_05T00_46_08.934942
path:
- '**/details_harness|winogrande|5_2023-10-05T00-46-08.934942.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-10-05T00-46-08.934942.parquet'
- config_name: results
data_files:
- split: 2023_08_04T21_00_53.208892
path:
- results_2023-08-04T21:00:53.208892.parquet
- split: 2023_10_05T00_46_08.934942
path:
- results_2023-10-05T00-46-08.934942.parquet
- split: latest
path:
- results_2023-10-05T00-46-08.934942.parquet
---
# Dataset Card for Evaluation run of dfurman/llama-2-70b-dolphin-peft
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/dfurman/llama-2-70b-dolphin-peft
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [dfurman/llama-2-70b-dolphin-peft](https://huggingface.co/dfurman/llama-2-70b-dolphin-peft) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
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.
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)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-10-05T00:46:08.934942](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft/blob/main/results_2023-10-05T00-46-08.934942.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):
```python
{
"all": {
"em": 0.002307046979865772,
"em_stderr": 0.0004913221265094568,
"f1": 0.0702915268456376,
"f1_stderr": 0.0014330013107730173,
"acc": 0.5563409652980272,
"acc_stderr": 0.011305358161874588
},
"harness|drop|3": {
"em": 0.002307046979865772,
"em_stderr": 0.0004913221265094568,
"f1": 0.0702915268456376,
"f1_stderr": 0.0014330013107730173
},
"harness|gsm8k|5": {
"acc": 0.27369219105382864,
"acc_stderr": 0.012281003490963456
},
"harness|winogrande|5": {
"acc": 0.8389897395422258,
"acc_stderr": 0.01032971283278572
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
Dmkond/ocr2json-form | ---
license: apache-2.0
---
|
snikhil17/tesseract-test | ---
license: apache-2.0
---
|
tr416/alpaca_bc_data | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 29059508
num_examples: 29581
download_size: 14969317
dataset_size: 29059508
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "alpaca_bc_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yuan-sf63/word_label_0.8_16_P | ---
dataset_info:
features:
- name: text
dtype: string
- name: '0'
dtype: int64
- name: '1'
dtype: int64
- name: '2'
dtype: int64
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dtype: int64
- name: '4'
dtype: int64
- name: '5'
dtype: int64
- name: '6'
dtype: int64
- name: '7'
dtype: int64
- name: '8'
dtype: int64
- name: '9'
dtype: int64
- name: '10'
dtype: int64
- name: '11'
dtype: int64
- name: '12'
dtype: int64
- name: '13'
dtype: int64
- name: '14'
dtype: int64
- name: '15'
dtype: int64
splits:
- name: train
num_bytes: 8537417.368139727
num_examples: 47818
- name: validation
num_bytes: 948760.6318602725
num_examples: 5314
download_size: 2471753
dataset_size: 9486178.0
---
# Dataset Card for "word_label_0.8_16_P"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
jovianzm/img2vid-pexels-350k | ---
license: mit
language:
- en
pretty_name: Pexels 359k Image-To-Video
task_categories:
- image-to-video
size_categories:
- 100K<n<1M
---
# Pexels Image To Video
Video and thumbnail pairs extracted from the Pexels-359k dataset. (https://hf.co/datasets/Corran/pexelvideos)
# Download
Dataset is available in JSON, and Parquet.
358,551 pairs really. |
heliosprime/twitter_dataset_1712990820 | ---
dataset_info:
features:
- name: id
dtype: string
- name: tweet_content
dtype: string
- name: user_name
dtype: string
- name: user_id
dtype: string
- name: created_at
dtype: string
- name: url
dtype: string
- name: favourite_count
dtype: int64
- name: scraped_at
dtype: string
- name: image_urls
dtype: string
splits:
- name: train
num_bytes: 7558
num_examples: 16
download_size: 8824
dataset_size: 7558
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "twitter_dataset_1712990820"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
CJWeiss/lcr_final | ---
dataset_info:
features:
- name: Long Text
dtype: string
- name: Summary
dtype: string
splits:
- name: train
num_bytes: 87287943
num_examples: 2918
- name: test
num_bytes: 16210230
num_examples: 584
- name: valid
num_bytes: 10483063
num_examples: 389
download_size: 55981252
dataset_size: 113981236
---
# Dataset Card for "lcr_final"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
natarojas/luffy | ---
license: openrail
---
|
Erynan/gpt_deon_10 | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: response_a
dtype: string
- name: response_b
dtype: string
- name: more_reasonable
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 3199
num_examples: 10
download_size: 6335
dataset_size: 3199
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
chriztopherton/reddit_chroma_db | ---
license: mit
language:
- en
pretty_name: chroma_wanderchat
--- |
one-sec-cv12/chunk_99 | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: train
num_bytes: 24252696288.75
num_examples: 252506
download_size: 22892001720
dataset_size: 24252696288.75
---
# Dataset Card for "chunk_99"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
SDbiaseval/notebooks | ---
license: apache-2.0
viewer: false
---
Jupyter notebooks and supporting code |
yasik/poly-opt-scam | ---
license: cc-by-nc-nd-4.0
---
|
Zaperdolik/ferni | ---
license: afl-3.0
---
|
FidelOdok/DOA_dataset_6_classes2 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
splits:
- name: train
num_bytes: 24221585400.202
num_examples: 62869
download_size: 24218154768
dataset_size: 24221585400.202
---
# Dataset Card for "DOA_dataset_6_classes2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
minoruskore/ilustraciones-seguras | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Safe
'1': Unsafe
splits:
- name: train
num_bytes: 3681733449.8
num_examples: 12532
download_size: 4443405455
dataset_size: 3681733449.8
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
open-llm-leaderboard/details_Severian__Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B | ---
pretty_name: Evaluation run of Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B](https://huggingface.co/Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 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.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Severian__Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-03-27T19:39:16.052543](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B/blob/main/results_2024-03-27T19-39-16.052543.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.2501250199524837,\n\
\ \"acc_stderr\": 0.030807509585901272,\n \"acc_norm\": 0.2511620133774842,\n\
\ \"acc_norm_stderr\": 0.03162753058155332,\n \"mc1\": 0.2252141982864137,\n\
\ \"mc1_stderr\": 0.014623240768023493,\n \"mc2\": NaN,\n \"\
mc2_stderr\": NaN\n },\n \"harness|arc:challenge|25\": {\n \"acc\"\
: 0.24573378839590443,\n \"acc_stderr\": 0.012581033453730113,\n \"\
acc_norm\": 0.29266211604095566,\n \"acc_norm_stderr\": 0.013295916103619413\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2674765982871938,\n\
\ \"acc_stderr\": 0.004417384102398679,\n \"acc_norm\": 0.28818960366460866,\n\
\ \"acc_norm_stderr\": 0.004519941716508355\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.2518518518518518,\n\
\ \"acc_stderr\": 0.03749850709174021,\n \"acc_norm\": 0.2518518518518518,\n\
\ \"acc_norm_stderr\": 0.03749850709174021\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.2631578947368421,\n \"acc_stderr\": 0.035834961763610645,\n\
\ \"acc_norm\": 0.2631578947368421,\n \"acc_norm_stderr\": 0.035834961763610645\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.24,\n\
\ \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.24,\n \
\ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.2830188679245283,\n \"acc_stderr\": 0.027724236492700904,\n\
\ \"acc_norm\": 0.2830188679245283,\n \"acc_norm_stderr\": 0.027724236492700904\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2638888888888889,\n\
\ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.2638888888888889,\n\
\ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\
\ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2543352601156069,\n\
\ \"acc_stderr\": 0.0332055644308557,\n \"acc_norm\": 0.2543352601156069,\n\
\ \"acc_norm_stderr\": 0.0332055644308557\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.04158307533083286,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.04158307533083286\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.24,\n\
\ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.2553191489361702,\n \"acc_stderr\": 0.028504856470514196,\n\
\ \"acc_norm\": 0.2553191489361702,\n \"acc_norm_stderr\": 0.028504856470514196\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
\ \"acc_stderr\": 0.04049339297748141,\n \"acc_norm\": 0.24561403508771928,\n\
\ \"acc_norm_stderr\": 0.04049339297748141\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.2206896551724138,\n \"acc_stderr\": 0.034559302019248124,\n\
\ \"acc_norm\": 0.2206896551724138,\n \"acc_norm_stderr\": 0.034559302019248124\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.2566137566137566,\n \"acc_stderr\": 0.022494510767503154,\n \"\
acc_norm\": 0.2566137566137566,\n \"acc_norm_stderr\": 0.022494510767503154\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.23015873015873015,\n\
\ \"acc_stderr\": 0.03764950879790604,\n \"acc_norm\": 0.23015873015873015,\n\
\ \"acc_norm_stderr\": 0.03764950879790604\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.33225806451612905,\n\
\ \"acc_stderr\": 0.026795560848122794,\n \"acc_norm\": 0.33225806451612905,\n\
\ \"acc_norm_stderr\": 0.026795560848122794\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.2512315270935961,\n \"acc_stderr\": 0.030516530732694436,\n\
\ \"acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694436\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \"acc_norm\"\
: 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.21818181818181817,\n \"acc_stderr\": 0.03225078108306289,\n\
\ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03225078108306289\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.23232323232323232,\n \"acc_stderr\": 0.030088629490217483,\n \"\
acc_norm\": 0.23232323232323232,\n \"acc_norm_stderr\": 0.030088629490217483\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.30569948186528495,\n \"acc_stderr\": 0.03324837939758159,\n\
\ \"acc_norm\": 0.30569948186528495,\n \"acc_norm_stderr\": 0.03324837939758159\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.23076923076923078,\n \"acc_stderr\": 0.021362027725222717,\n\
\ \"acc_norm\": 0.23076923076923078,\n \"acc_norm_stderr\": 0.021362027725222717\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.25555555555555554,\n \"acc_stderr\": 0.02659393910184407,\n \
\ \"acc_norm\": 0.25555555555555554,\n \"acc_norm_stderr\": 0.02659393910184407\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.25630252100840334,\n \"acc_stderr\": 0.02835962087053395,\n\
\ \"acc_norm\": 0.25630252100840334,\n \"acc_norm_stderr\": 0.02835962087053395\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2847682119205298,\n \"acc_stderr\": 0.03684881521389024,\n \"\
acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.03684881521389024\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.26972477064220185,\n \"acc_stderr\": 0.01902848671111544,\n \"\
acc_norm\": 0.26972477064220185,\n \"acc_norm_stderr\": 0.01902848671111544\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.25,\n \"acc_stderr\": 0.029531221160930918,\n \"acc_norm\": 0.25,\n\
\ \"acc_norm_stderr\": 0.029531221160930918\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.27941176470588236,\n \"acc_stderr\": 0.031493281045079556,\n\
\ \"acc_norm\": 0.27941176470588236,\n \"acc_norm_stderr\": 0.031493281045079556\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.21940928270042195,\n \"acc_stderr\": 0.026939106581553945,\n \
\ \"acc_norm\": 0.21940928270042195,\n \"acc_norm_stderr\": 0.026939106581553945\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.21076233183856502,\n\
\ \"acc_stderr\": 0.02737309550054019,\n \"acc_norm\": 0.21076233183856502,\n\
\ \"acc_norm_stderr\": 0.02737309550054019\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.22900763358778625,\n \"acc_stderr\": 0.036853466317118506,\n\
\ \"acc_norm\": 0.22900763358778625,\n \"acc_norm_stderr\": 0.036853466317118506\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.2231404958677686,\n \"acc_stderr\": 0.03800754475228733,\n \"\
acc_norm\": 0.2231404958677686,\n \"acc_norm_stderr\": 0.03800754475228733\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.24074074074074073,\n\
\ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.24074074074074073,\n\
\ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.2392638036809816,\n \"acc_stderr\": 0.033519538795212696,\n\
\ \"acc_norm\": 0.2392638036809816,\n \"acc_norm_stderr\": 0.033519538795212696\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.26785714285714285,\n\
\ \"acc_stderr\": 0.04203277291467765,\n \"acc_norm\": 0.26785714285714285,\n\
\ \"acc_norm_stderr\": 0.04203277291467765\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.23300970873786409,\n \"acc_stderr\": 0.041858325989283136,\n\
\ \"acc_norm\": 0.23300970873786409,\n \"acc_norm_stderr\": 0.041858325989283136\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.20085470085470086,\n\
\ \"acc_stderr\": 0.02624677294689048,\n \"acc_norm\": 0.20085470085470086,\n\
\ \"acc_norm_stderr\": 0.02624677294689048\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\
\ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.19540229885057472,\n\
\ \"acc_stderr\": 0.014179171373424384,\n \"acc_norm\": 0.19540229885057472,\n\
\ \"acc_norm_stderr\": 0.014179171373424384\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.30346820809248554,\n \"acc_stderr\": 0.02475241196091722,\n\
\ \"acc_norm\": 0.30346820809248554,\n \"acc_norm_stderr\": 0.02475241196091722\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23687150837988827,\n\
\ \"acc_stderr\": 0.014219570788103982,\n \"acc_norm\": 0.23687150837988827,\n\
\ \"acc_norm_stderr\": 0.014219570788103982\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.024288619466046112,\n\
\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.024288619466046112\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.21543408360128619,\n\
\ \"acc_stderr\": 0.023350225475471418,\n \"acc_norm\": 0.21543408360128619,\n\
\ \"acc_norm_stderr\": 0.023350225475471418\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.25925925925925924,\n \"acc_stderr\": 0.024383665531035454,\n\
\ \"acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.024383665531035454\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.24468085106382978,\n \"acc_stderr\": 0.025645553622266733,\n \
\ \"acc_norm\": 0.24468085106382978,\n \"acc_norm_stderr\": 0.025645553622266733\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23663624511082137,\n\
\ \"acc_stderr\": 0.010855137351572746,\n \"acc_norm\": 0.23663624511082137,\n\
\ \"acc_norm_stderr\": 0.010855137351572746\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.2536764705882353,\n \"acc_stderr\": 0.02643132987078954,\n\
\ \"acc_norm\": 0.2536764705882353,\n \"acc_norm_stderr\": 0.02643132987078954\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.2173202614379085,\n \"acc_stderr\": 0.016684820929148587,\n \
\ \"acc_norm\": 0.2173202614379085,\n \"acc_norm_stderr\": 0.016684820929148587\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.2727272727272727,\n\
\ \"acc_stderr\": 0.04265792110940588,\n \"acc_norm\": 0.2727272727272727,\n\
\ \"acc_norm_stderr\": 0.04265792110940588\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.2571428571428571,\n \"acc_stderr\": 0.027979823538744546,\n\
\ \"acc_norm\": 0.2571428571428571,\n \"acc_norm_stderr\": 0.027979823538744546\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.19900497512437812,\n\
\ \"acc_stderr\": 0.02823136509275841,\n \"acc_norm\": 0.19900497512437812,\n\
\ \"acc_norm_stderr\": 0.02823136509275841\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.23493975903614459,\n\
\ \"acc_stderr\": 0.03300533186128922,\n \"acc_norm\": 0.23493975903614459,\n\
\ \"acc_norm_stderr\": 0.03300533186128922\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.17543859649122806,\n \"acc_stderr\": 0.02917088550072768,\n\
\ \"acc_norm\": 0.17543859649122806,\n \"acc_norm_stderr\": 0.02917088550072768\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2252141982864137,\n\
\ \"mc1_stderr\": 0.014623240768023493,\n \"mc2\": NaN,\n \"\
mc2_stderr\": NaN\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.5067087608524072,\n\
\ \"acc_stderr\": 0.014051220692330349\n },\n \"harness|gsm8k|5\":\
\ {\n \"acc\": 0.0,\n \"acc_stderr\": 0.0\n }\n}\n```"
repo_url: https://huggingface.co/Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|arc:challenge|25_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|gsm8k|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hellaswag|10_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-16.052543.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-27T19-39-16.052543.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- '**/details_harness|winogrande|5_2024-03-27T19-39-16.052543.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-03-27T19-39-16.052543.parquet'
- config_name: results
data_files:
- split: 2024_03_27T19_39_16.052543
path:
- results_2024-03-27T19-39-16.052543.parquet
- split: latest
path:
- results_2024-03-27T19-39-16.052543.parquet
---
# Dataset Card for Evaluation run of Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B](https://huggingface.co/Severian/Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Severian__Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-03-27T19:39:16.052543](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B/blob/main/results_2024-03-27T19-39-16.052543.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):
```python
{
"all": {
"acc": 0.2501250199524837,
"acc_stderr": 0.030807509585901272,
"acc_norm": 0.2511620133774842,
"acc_norm_stderr": 0.03162753058155332,
"mc1": 0.2252141982864137,
"mc1_stderr": 0.014623240768023493,
"mc2": NaN,
"mc2_stderr": NaN
},
"harness|arc:challenge|25": {
"acc": 0.24573378839590443,
"acc_stderr": 0.012581033453730113,
"acc_norm": 0.29266211604095566,
"acc_norm_stderr": 0.013295916103619413
},
"harness|hellaswag|10": {
"acc": 0.2674765982871938,
"acc_stderr": 0.004417384102398679,
"acc_norm": 0.28818960366460866,
"acc_norm_stderr": 0.004519941716508355
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.2518518518518518,
"acc_stderr": 0.03749850709174021,
"acc_norm": 0.2518518518518518,
"acc_norm_stderr": 0.03749850709174021
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.2631578947368421,
"acc_stderr": 0.035834961763610645,
"acc_norm": 0.2631578947368421,
"acc_norm_stderr": 0.035834961763610645
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.24,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.24,
"acc_norm_stderr": 0.042923469599092816
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.2830188679245283,
"acc_stderr": 0.027724236492700904,
"acc_norm": 0.2830188679245283,
"acc_norm_stderr": 0.027724236492700904
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.2638888888888889,
"acc_stderr": 0.03685651095897532,
"acc_norm": 0.2638888888888889,
"acc_norm_stderr": 0.03685651095897532
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.33,
"acc_stderr": 0.04725815626252605,
"acc_norm": 0.33,
"acc_norm_stderr": 0.04725815626252605
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.32,
"acc_stderr": 0.04688261722621504,
"acc_norm": 0.32,
"acc_norm_stderr": 0.04688261722621504
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.2543352601156069,
"acc_stderr": 0.0332055644308557,
"acc_norm": 0.2543352601156069,
"acc_norm_stderr": 0.0332055644308557
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.04158307533083286,
"acc_norm": 0.22549019607843138,
"acc_norm_stderr": 0.04158307533083286
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.24,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.24,
"acc_norm_stderr": 0.042923469599092816
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.2553191489361702,
"acc_stderr": 0.028504856470514196,
"acc_norm": 0.2553191489361702,
"acc_norm_stderr": 0.028504856470514196
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.24561403508771928,
"acc_stderr": 0.04049339297748141,
"acc_norm": 0.24561403508771928,
"acc_norm_stderr": 0.04049339297748141
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.2206896551724138,
"acc_stderr": 0.034559302019248124,
"acc_norm": 0.2206896551724138,
"acc_norm_stderr": 0.034559302019248124
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.2566137566137566,
"acc_stderr": 0.022494510767503154,
"acc_norm": 0.2566137566137566,
"acc_norm_stderr": 0.022494510767503154
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.23015873015873015,
"acc_stderr": 0.03764950879790604,
"acc_norm": 0.23015873015873015,
"acc_norm_stderr": 0.03764950879790604
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816505,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816505
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.33225806451612905,
"acc_stderr": 0.026795560848122794,
"acc_norm": 0.33225806451612905,
"acc_norm_stderr": 0.026795560848122794
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.2512315270935961,
"acc_stderr": 0.030516530732694436,
"acc_norm": 0.2512315270935961,
"acc_norm_stderr": 0.030516530732694436
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.28,
"acc_stderr": 0.045126085985421276,
"acc_norm": 0.28,
"acc_norm_stderr": 0.045126085985421276
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.21818181818181817,
"acc_stderr": 0.03225078108306289,
"acc_norm": 0.21818181818181817,
"acc_norm_stderr": 0.03225078108306289
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.23232323232323232,
"acc_stderr": 0.030088629490217483,
"acc_norm": 0.23232323232323232,
"acc_norm_stderr": 0.030088629490217483
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.30569948186528495,
"acc_stderr": 0.03324837939758159,
"acc_norm": 0.30569948186528495,
"acc_norm_stderr": 0.03324837939758159
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.23076923076923078,
"acc_stderr": 0.021362027725222717,
"acc_norm": 0.23076923076923078,
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"harness|truthfulqa:mc|0": {
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"mc2": NaN,
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},
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"acc_stderr": 0.014051220692330349
},
"harness|gsm8k|5": {
"acc": 0.0,
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}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
[More Information Needed] |
jxu9001/tagged_addresses | ---
dataset_info:
features:
- name: tokens
sequence: string
- name: tags
sequence: string
splits:
- name: train
num_bytes: 14472345
num_examples: 105594
- name: validation
num_bytes: 1809379
num_examples: 13199
- name: test
num_bytes: 1811309
num_examples: 13200
download_size: 0
dataset_size: 18093033
---
# Dataset Card for "tagged_addresses"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
PanGD/lotus-QnA | ---
language:
- th
--- |
kpriyanshu256/the_verge-linustechtips-two_min | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 109422333
num_examples: 10489
download_size: 61977808
dataset_size: 109422333
---
# Dataset Card for "the_verge-linustechtips-two_min"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
freshpearYoon/vr_train_free_2 | ---
dataset_info:
features:
- name: audio
struct:
- name: array
sequence: float64
- name: path
dtype: string
- name: sampling_rate
dtype: int64
- name: filename
dtype: string
- name: NumOfUtterance
dtype: int64
- name: text
dtype: string
- name: samplingrate
dtype: int64
- name: begin_time
dtype: float64
- name: end_time
dtype: float64
- name: speaker_id
dtype: string
- name: directory
dtype: string
splits:
- name: train
num_bytes: 7451378597
num_examples: 10000
download_size: 1168169417
dataset_size: 7451378597
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
gagan3012/SafetyTraining | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: category
sequence: string
- name: is_safe
dtype: bool
- name: index
dtype: int64
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: 330k_train
num_bytes: 394568361
num_examples: 300567
- name: 330k_test
num_bytes: 43734122
num_examples: 33396
- name: 30k_train
num_bytes: 36098915
num_examples: 27186
- name: 30k_test
num_bytes: 3979832
num_examples: 3021
download_size: 209748510
dataset_size: 478381230
configs:
- config_name: default
data_files:
- split: 330k_train
path: data/330k_train-*
- split: 330k_test
path: data/330k_test-*
- split: 30k_train
path: data/30k_train-*
- split: 30k_test
path: data/30k_test-*
---
|
kekunh/stock-related-tweets-vol1 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 6225071
num_examples: 53683
download_size: 3955144
dataset_size: 6225071
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
manu/french_boolq | ---
dataset_info:
features:
- name: question
dtype: string
- name: passage
dtype: string
- name: label
dtype: int64
splits:
- name: test
num_bytes: 153880
num_examples: 178
- name: valid
num_bytes: 7038
num_examples: 10
download_size: 64042
dataset_size: 160918
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: valid
path: data/valid-*
---
# Dataset Card for "test_fboolq"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Abner112/problemsvc | ---
license: openrail
---
|
kaaniince/turkishReviews-ds-textGeneration | ---
dataset_info:
features:
- name: review
dtype: string
- name: review_length
dtype: int64
splits:
- name: train
num_bytes: 1408268.074460517
num_examples: 3795
- name: validation
num_bytes: 156597.92553948305
num_examples: 422
download_size: 1004999
dataset_size: 1564866.0
---
# Dataset Card for "turkishReviews-ds-textGeneration"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
yotam56/mix_ds | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': american_shirt
'1': black
'2': blue
'3': buttoned_shirt
'4': checked_shirt
'5': coat
'6': dark_tshirts
'7': hoodie
'8': long_sleeves
'9': other_tshirts
'10': polo
'11': red
'12': striped_sweater
'13': striped_tshirts
'14': white_with_logo
'15': yellow
splits:
- name: train
num_bytes: 3587713.0
num_examples: 84
download_size: 3527249
dataset_size: 3587713.0
---
# Dataset Card for "mix_ds"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
AnanthZeke/tamil_sentences_sample | ---
dataset_info:
features:
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1164550978
num_examples: 2391475
download_size: 347960778
dataset_size: 1164550978
license: mit
task_categories:
- sentence-similarity
- zero-shot-classification
language:
- ta
tags:
- OSCAR
- Wikipedia
- Tamil
size_categories:
- 1M<n<10M
---
# Dataset Card for "tamil_combined_sentences"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
nlpso/m1_fine_tuning_ref_ptrn_cmbert_io | ---
language:
- fr
multilinguality:
- monolingual
task_categories:
- token-classification
---
# m1_fine_tuning_ref_ptrn_cmbert_io
## Introduction
This dataset was used to fine-tuned [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) for **nested NER task** using Independant NER layers approach [M1].
It contains Paris trade directories entries from the 19th century.
## Dataset parameters
* Approach : M1
* Dataset type : ground-truth
* Tokenizer : [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained)
* Tagging format : IO
* Counts :
* Train : 6084
* Dev : 676
* Test : 1685
* Associated fine-tuned models :
* Level-1 : [nlpso/m1_ind_layers_ref_ptrn_cmbert_io_level_1](https://huggingface.co/nlpso/m1_ind_layers_ref_ptrn_cmbert_io_level_1)
* Level 2 : [nlpso/m1_ind_layers_ref_ptrn_cmbert_io_level_2](https://huggingface.co/nlpso/m1_ind_layers_ref_ptrn_cmbert_io_level_2)
## Entity types
Abbreviation|Entity group (level)|Description
-|-|-
O |1 & 2|Outside of a named entity
PER |1|Person or company name
ACT |1 & 2|Person or company professional activity
TITREH |2|Military or civil distinction
DESC |1|Entry full description
TITREP |2|Professionnal reward
SPAT |1|Address
LOC |2|Street name
CARDINAL |2|Street number
FT |2|Geographical feature
## How to use this dataset
```python
from datasets import load_dataset
train_dev_test = load_dataset("nlpso/m1_fine_tuning_ref_ptrn_cmbert_io")
|
GroundCtrl/ColonoFalando2 | ---
license: openrail
---
|
cmcmaster/OpenHermes2.5-dpo-binarized-alpha-trl | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 23409772
num_examples: 8813
- name: test
num_bytes: 2564326
num_examples: 980
download_size: 15317441
dataset_size: 25974098
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
hf14062778/QAChinese | ---
license: apache-2.0
---
|
Aehus/bumblebee_8 | ---
dataset_info:
features:
- name: new_output
dtype: string
- name: new_input
dtype: string
- name: new_instruction
dtype: string
splits:
- name: train
num_bytes: 4339598
num_examples: 5457
download_size: 1873593
dataset_size: 4339598
---
# Dataset Card for "bumblebee_8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
open-llm-leaderboard/details_Steelskull__VerB-Etheria-55b | ---
pretty_name: Evaluation run of Steelskull/VerB-Etheria-55b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Steelskull/VerB-Etheria-55b](https://huggingface.co/Steelskull/VerB-Etheria-55b)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 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.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Steelskull__VerB-Etheria-55b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-01-25T17:11:57.529002](https://huggingface.co/datasets/open-llm-leaderboard/details_Steelskull__VerB-Etheria-55b/blob/main/results_2024-01-25T17-11-57.529002.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.7273568607295041,\n\
\ \"acc_stderr\": 0.029263863644913724,\n \"acc_norm\": 0.7377743224385701,\n\
\ \"acc_norm_stderr\": 0.02981943493187247,\n \"mc1\": 0.3990208078335373,\n\
\ \"mc1_stderr\": 0.01714282572849677,\n \"mc2\": 0.575213422471882,\n\
\ \"mc2_stderr\": 0.01606436002486393\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6279863481228669,\n \"acc_stderr\": 0.014124597881844461,\n\
\ \"acc_norm\": 0.659556313993174,\n \"acc_norm_stderr\": 0.013847460518892973\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6437960565624378,\n\
\ \"acc_stderr\": 0.004778978031389639,\n \"acc_norm\": 0.8147779326827326,\n\
\ \"acc_norm_stderr\": 0.003876836709461124\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \
\ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6666666666666666,\n\
\ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.6666666666666666,\n\
\ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.8618421052631579,\n \"acc_stderr\": 0.028081042939576552,\n\
\ \"acc_norm\": 0.8618421052631579,\n \"acc_norm_stderr\": 0.028081042939576552\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.77,\n\
\ \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n \
\ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7735849056603774,\n \"acc_stderr\": 0.025757559893106723,\n\
\ \"acc_norm\": 0.7735849056603774,\n \"acc_norm_stderr\": 0.025757559893106723\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8611111111111112,\n\
\ \"acc_stderr\": 0.028919802956134905,\n \"acc_norm\": 0.8611111111111112,\n\
\ \"acc_norm_stderr\": 0.028919802956134905\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.55,\n \"acc_stderr\": 0.04999999999999999,\n \
\ \"acc_norm\": 0.55,\n \"acc_norm_stderr\": 0.04999999999999999\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\": 0.6,\n\
\ \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6994219653179191,\n\
\ \"acc_stderr\": 0.0349610148119118,\n \"acc_norm\": 0.6994219653179191,\n\
\ \"acc_norm_stderr\": 0.0349610148119118\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.47058823529411764,\n \"acc_stderr\": 0.04966570903978529,\n\
\ \"acc_norm\": 0.47058823529411764,\n \"acc_norm_stderr\": 0.04966570903978529\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.8,\n \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\": 0.8,\n\
\ \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.7446808510638298,\n \"acc_stderr\": 0.02850485647051426,\n\
\ \"acc_norm\": 0.7446808510638298,\n \"acc_norm_stderr\": 0.02850485647051426\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5526315789473685,\n\
\ \"acc_stderr\": 0.04677473004491199,\n \"acc_norm\": 0.5526315789473685,\n\
\ \"acc_norm_stderr\": 0.04677473004491199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.7448275862068966,\n \"acc_stderr\": 0.03632984052707842,\n\
\ \"acc_norm\": 0.7448275862068966,\n \"acc_norm_stderr\": 0.03632984052707842\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.5582010582010583,\n \"acc_stderr\": 0.025576257061253833,\n \"\
acc_norm\": 0.5582010582010583,\n \"acc_norm_stderr\": 0.025576257061253833\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5,\n\
\ \"acc_stderr\": 0.04472135954999579,\n \"acc_norm\": 0.5,\n \
\ \"acc_norm_stderr\": 0.04472135954999579\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.9,\n\
\ \"acc_stderr\": 0.017066403719657255,\n \"acc_norm\": 0.9,\n \
\ \"acc_norm_stderr\": 0.017066403719657255\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.5911330049261084,\n \"acc_stderr\": 0.03459058815883232,\n\
\ \"acc_norm\": 0.5911330049261084,\n \"acc_norm_stderr\": 0.03459058815883232\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036624,\n \"acc_norm\"\
: 0.81,\n \"acc_norm_stderr\": 0.03942772444036624\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8303030303030303,\n \"acc_stderr\": 0.029311188674983116,\n\
\ \"acc_norm\": 0.8303030303030303,\n \"acc_norm_stderr\": 0.029311188674983116\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.9292929292929293,\n \"acc_stderr\": 0.018263105420199505,\n \"\
acc_norm\": 0.9292929292929293,\n \"acc_norm_stderr\": 0.018263105420199505\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9792746113989638,\n \"acc_stderr\": 0.010281417011909032,\n\
\ \"acc_norm\": 0.9792746113989638,\n \"acc_norm_stderr\": 0.010281417011909032\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.782051282051282,\n \"acc_stderr\": 0.020932445774463196,\n \
\ \"acc_norm\": 0.782051282051282,\n \"acc_norm_stderr\": 0.020932445774463196\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3962962962962963,\n \"acc_stderr\": 0.029822619458533997,\n \
\ \"acc_norm\": 0.3962962962962963,\n \"acc_norm_stderr\": 0.029822619458533997\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.8529411764705882,\n \"acc_stderr\": 0.023005459446673957,\n\
\ \"acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.023005459446673957\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.4768211920529801,\n \"acc_stderr\": 0.04078093859163083,\n \"\
acc_norm\": 0.4768211920529801,\n \"acc_norm_stderr\": 0.04078093859163083\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.9064220183486239,\n \"acc_stderr\": 0.01248684182460197,\n \"\
acc_norm\": 0.9064220183486239,\n \"acc_norm_stderr\": 0.01248684182460197\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6527777777777778,\n \"acc_stderr\": 0.032468872436376486,\n \"\
acc_norm\": 0.6527777777777778,\n \"acc_norm_stderr\": 0.032468872436376486\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.9019607843137255,\n \"acc_stderr\": 0.020871118455552104,\n \"\
acc_norm\": 0.9019607843137255,\n \"acc_norm_stderr\": 0.020871118455552104\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8945147679324894,\n \"acc_stderr\": 0.019995560723758535,\n \
\ \"acc_norm\": 0.8945147679324894,\n \"acc_norm_stderr\": 0.019995560723758535\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8026905829596412,\n\
\ \"acc_stderr\": 0.02670985334496796,\n \"acc_norm\": 0.8026905829596412,\n\
\ \"acc_norm_stderr\": 0.02670985334496796\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8396946564885496,\n \"acc_stderr\": 0.03217829420744631,\n\
\ \"acc_norm\": 0.8396946564885496,\n \"acc_norm_stderr\": 0.03217829420744631\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8677685950413223,\n \"acc_stderr\": 0.03092278832044579,\n \"\
acc_norm\": 0.8677685950413223,\n \"acc_norm_stderr\": 0.03092278832044579\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8611111111111112,\n\
\ \"acc_stderr\": 0.0334327006286962,\n \"acc_norm\": 0.8611111111111112,\n\
\ \"acc_norm_stderr\": 0.0334327006286962\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.8834355828220859,\n \"acc_stderr\": 0.025212327210507104,\n\
\ \"acc_norm\": 0.8834355828220859,\n \"acc_norm_stderr\": 0.025212327210507104\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6071428571428571,\n\
\ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.6071428571428571,\n\
\ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\
\ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9102564102564102,\n\
\ \"acc_stderr\": 0.018724301741941646,\n \"acc_norm\": 0.9102564102564102,\n\
\ \"acc_norm_stderr\": 0.018724301741941646\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \
\ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8876117496807152,\n\
\ \"acc_stderr\": 0.011294541351216533,\n \"acc_norm\": 0.8876117496807152,\n\
\ \"acc_norm_stderr\": 0.011294541351216533\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.8179190751445087,\n \"acc_stderr\": 0.020776761102512965,\n\
\ \"acc_norm\": 0.8179190751445087,\n \"acc_norm_stderr\": 0.020776761102512965\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6324022346368715,\n\
\ \"acc_stderr\": 0.016125543823552944,\n \"acc_norm\": 0.6324022346368715,\n\
\ \"acc_norm_stderr\": 0.016125543823552944\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.8169934640522876,\n \"acc_stderr\": 0.02214076751288097,\n\
\ \"acc_norm\": 0.8169934640522876,\n \"acc_norm_stderr\": 0.02214076751288097\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8167202572347267,\n\
\ \"acc_stderr\": 0.021974198848265823,\n \"acc_norm\": 0.8167202572347267,\n\
\ \"acc_norm_stderr\": 0.021974198848265823\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8240740740740741,\n \"acc_stderr\": 0.021185893615225153,\n\
\ \"acc_norm\": 0.8240740740740741,\n \"acc_norm_stderr\": 0.021185893615225153\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.624113475177305,\n \"acc_stderr\": 0.028893955412115882,\n \
\ \"acc_norm\": 0.624113475177305,\n \"acc_norm_stderr\": 0.028893955412115882\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5684485006518905,\n\
\ \"acc_stderr\": 0.012650007999463902,\n \"acc_norm\": 0.5684485006518905,\n\
\ \"acc_norm_stderr\": 0.012650007999463902\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.7977941176470589,\n \"acc_stderr\": 0.024398192986654924,\n\
\ \"acc_norm\": 0.7977941176470589,\n \"acc_norm_stderr\": 0.024398192986654924\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.7875816993464052,\n \"acc_stderr\": 0.016547148636203147,\n \
\ \"acc_norm\": 0.7875816993464052,\n \"acc_norm_stderr\": 0.016547148636203147\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7272727272727273,\n\
\ \"acc_stderr\": 0.04265792110940588,\n \"acc_norm\": 0.7272727272727273,\n\
\ \"acc_norm_stderr\": 0.04265792110940588\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.8204081632653061,\n \"acc_stderr\": 0.024573293589585637,\n\
\ \"acc_norm\": 0.8204081632653061,\n \"acc_norm_stderr\": 0.024573293589585637\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8805970149253731,\n\
\ \"acc_stderr\": 0.02292879327721974,\n \"acc_norm\": 0.8805970149253731,\n\
\ \"acc_norm_stderr\": 0.02292879327721974\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \
\ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\
\ \"acc_stderr\": 0.038695433234721015,\n \"acc_norm\": 0.5542168674698795,\n\
\ \"acc_norm_stderr\": 0.038695433234721015\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8538011695906432,\n \"acc_stderr\": 0.027097290118070827,\n\
\ \"acc_norm\": 0.8538011695906432,\n \"acc_norm_stderr\": 0.027097290118070827\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3990208078335373,\n\
\ \"mc1_stderr\": 0.01714282572849677,\n \"mc2\": 0.575213422471882,\n\
\ \"mc2_stderr\": 0.01606436002486393\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7545382794001578,\n \"acc_stderr\": 0.012095272937183653\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2880970432145565,\n \
\ \"acc_stderr\": 0.012474469737197923\n }\n}\n```"
repo_url: https://huggingface.co/Steelskull/VerB-Etheria-55b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|arc:challenge|25_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|gsm8k|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hellaswag|10_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T17-11-57.529002.parquet'
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-25T17-11-57.529002.parquet'
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- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T17-11-57.529002.parquet'
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-01-25T17-11-57.529002.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-01-25T17-11-57.529002.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- '**/details_harness|winogrande|5_2024-01-25T17-11-57.529002.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-01-25T17-11-57.529002.parquet'
- config_name: results
data_files:
- split: 2024_01_25T17_11_57.529002
path:
- results_2024-01-25T17-11-57.529002.parquet
- split: latest
path:
- results_2024-01-25T17-11-57.529002.parquet
---
# Dataset Card for Evaluation run of Steelskull/VerB-Etheria-55b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Steelskull/VerB-Etheria-55b](https://huggingface.co/Steelskull/VerB-Etheria-55b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_Steelskull__VerB-Etheria-55b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-01-25T17:11:57.529002](https://huggingface.co/datasets/open-llm-leaderboard/details_Steelskull__VerB-Etheria-55b/blob/main/results_2024-01-25T17-11-57.529002.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):
```python
{
"all": {
"acc": 0.7273568607295041,
"acc_stderr": 0.029263863644913724,
"acc_norm": 0.7377743224385701,
"acc_norm_stderr": 0.02981943493187247,
"mc1": 0.3990208078335373,
"mc1_stderr": 0.01714282572849677,
"mc2": 0.575213422471882,
"mc2_stderr": 0.01606436002486393
},
"harness|arc:challenge|25": {
"acc": 0.6279863481228669,
"acc_stderr": 0.014124597881844461,
"acc_norm": 0.659556313993174,
"acc_norm_stderr": 0.013847460518892973
},
"harness|hellaswag|10": {
"acc": 0.6437960565624378,
"acc_stderr": 0.004778978031389639,
"acc_norm": 0.8147779326827326,
"acc_norm_stderr": 0.003876836709461124
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.41,
"acc_stderr": 0.049431107042371025,
"acc_norm": 0.41,
"acc_norm_stderr": 0.049431107042371025
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6666666666666666,
"acc_stderr": 0.04072314811876837,
"acc_norm": 0.6666666666666666,
"acc_norm_stderr": 0.04072314811876837
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.8618421052631579,
"acc_stderr": 0.028081042939576552,
"acc_norm": 0.8618421052631579,
"acc_norm_stderr": 0.028081042939576552
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.77,
"acc_stderr": 0.04229525846816505,
"acc_norm": 0.77,
"acc_norm_stderr": 0.04229525846816505
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.7735849056603774,
"acc_stderr": 0.025757559893106723,
"acc_norm": 0.7735849056603774,
"acc_norm_stderr": 0.025757559893106723
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.8611111111111112,
"acc_stderr": 0.028919802956134905,
"acc_norm": 0.8611111111111112,
"acc_norm_stderr": 0.028919802956134905
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.55,
"acc_stderr": 0.04999999999999999,
"acc_norm": 0.55,
"acc_norm_stderr": 0.04999999999999999
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.6,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.6,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.6994219653179191,
"acc_stderr": 0.0349610148119118,
"acc_norm": 0.6994219653179191,
"acc_norm_stderr": 0.0349610148119118
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.47058823529411764,
"acc_stderr": 0.04966570903978529,
"acc_norm": 0.47058823529411764,
"acc_norm_stderr": 0.04966570903978529
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.8,
"acc_stderr": 0.04020151261036845,
"acc_norm": 0.8,
"acc_norm_stderr": 0.04020151261036845
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.7446808510638298,
"acc_stderr": 0.02850485647051426,
"acc_norm": 0.7446808510638298,
"acc_norm_stderr": 0.02850485647051426
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5526315789473685,
"acc_stderr": 0.04677473004491199,
"acc_norm": 0.5526315789473685,
"acc_norm_stderr": 0.04677473004491199
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.7448275862068966,
"acc_stderr": 0.03632984052707842,
"acc_norm": 0.7448275862068966,
"acc_norm_stderr": 0.03632984052707842
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.5582010582010583,
"acc_stderr": 0.025576257061253833,
"acc_norm": 0.5582010582010583,
"acc_norm_stderr": 0.025576257061253833
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.5,
"acc_stderr": 0.04472135954999579,
"acc_norm": 0.5,
"acc_norm_stderr": 0.04472135954999579
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.5,
"acc_stderr": 0.050251890762960605,
"acc_norm": 0.5,
"acc_norm_stderr": 0.050251890762960605
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.9,
"acc_stderr": 0.017066403719657255,
"acc_norm": 0.9,
"acc_norm_stderr": 0.017066403719657255
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.5911330049261084,
"acc_stderr": 0.03459058815883232,
"acc_norm": 0.5911330049261084,
"acc_norm_stderr": 0.03459058815883232
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.81,
"acc_stderr": 0.03942772444036624,
"acc_norm": 0.81,
"acc_norm_stderr": 0.03942772444036624
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.8303030303030303,
"acc_stderr": 0.029311188674983116,
"acc_norm": 0.8303030303030303,
"acc_norm_stderr": 0.029311188674983116
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.9292929292929293,
"acc_stderr": 0.018263105420199505,
"acc_norm": 0.9292929292929293,
"acc_norm_stderr": 0.018263105420199505
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.9792746113989638,
"acc_stderr": 0.010281417011909032,
"acc_norm": 0.9792746113989638,
"acc_norm_stderr": 0.010281417011909032
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.782051282051282,
"acc_stderr": 0.020932445774463196,
"acc_norm": 0.782051282051282,
"acc_norm_stderr": 0.020932445774463196
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3962962962962963,
"acc_stderr": 0.029822619458533997,
"acc_norm": 0.3962962962962963,
"acc_norm_stderr": 0.029822619458533997
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.8529411764705882,
"acc_stderr": 0.023005459446673957,
"acc_norm": 0.8529411764705882,
"acc_norm_stderr": 0.023005459446673957
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.4768211920529801,
"acc_stderr": 0.04078093859163083,
"acc_norm": 0.4768211920529801,
"acc_norm_stderr": 0.04078093859163083
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.9064220183486239,
"acc_stderr": 0.01248684182460197,
"acc_norm": 0.9064220183486239,
"acc_norm_stderr": 0.01248684182460197
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.6527777777777778,
"acc_stderr": 0.032468872436376486,
"acc_norm": 0.6527777777777778,
"acc_norm_stderr": 0.032468872436376486
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.9019607843137255,
"acc_stderr": 0.020871118455552104,
"acc_norm": 0.9019607843137255,
"acc_norm_stderr": 0.020871118455552104
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.8945147679324894,
"acc_stderr": 0.019995560723758535,
"acc_norm": 0.8945147679324894,
"acc_norm_stderr": 0.019995560723758535
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.8026905829596412,
"acc_stderr": 0.02670985334496796,
"acc_norm": 0.8026905829596412,
"acc_norm_stderr": 0.02670985334496796
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.8396946564885496,
"acc_stderr": 0.03217829420744631,
"acc_norm": 0.8396946564885496,
"acc_norm_stderr": 0.03217829420744631
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.8677685950413223,
"acc_stderr": 0.03092278832044579,
"acc_norm": 0.8677685950413223,
"acc_norm_stderr": 0.03092278832044579
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.8611111111111112,
"acc_stderr": 0.0334327006286962,
"acc_norm": 0.8611111111111112,
"acc_norm_stderr": 0.0334327006286962
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.8834355828220859,
"acc_stderr": 0.025212327210507104,
"acc_norm": 0.8834355828220859,
"acc_norm_stderr": 0.025212327210507104
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.6071428571428571,
"acc_stderr": 0.04635550135609976,
"acc_norm": 0.6071428571428571,
"acc_norm_stderr": 0.04635550135609976
},
"harness|hendrycksTest-management|5": {
"acc": 0.8349514563106796,
"acc_stderr": 0.03675668832233188,
"acc_norm": 0.8349514563106796,
"acc_norm_stderr": 0.03675668832233188
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.9102564102564102,
"acc_stderr": 0.018724301741941646,
"acc_norm": 0.9102564102564102,
"acc_norm_stderr": 0.018724301741941646
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.83,
"acc_stderr": 0.03775251680686371,
"acc_norm": 0.83,
"acc_norm_stderr": 0.03775251680686371
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.8876117496807152,
"acc_stderr": 0.011294541351216533,
"acc_norm": 0.8876117496807152,
"acc_norm_stderr": 0.011294541351216533
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.8179190751445087,
"acc_stderr": 0.020776761102512965,
"acc_norm": 0.8179190751445087,
"acc_norm_stderr": 0.020776761102512965
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.6324022346368715,
"acc_stderr": 0.016125543823552944,
"acc_norm": 0.6324022346368715,
"acc_norm_stderr": 0.016125543823552944
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.8169934640522876,
"acc_stderr": 0.02214076751288097,
"acc_norm": 0.8169934640522876,
"acc_norm_stderr": 0.02214076751288097
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.8167202572347267,
"acc_stderr": 0.021974198848265823,
"acc_norm": 0.8167202572347267,
"acc_norm_stderr": 0.021974198848265823
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.8240740740740741,
"acc_stderr": 0.021185893615225153,
"acc_norm": 0.8240740740740741,
"acc_norm_stderr": 0.021185893615225153
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.624113475177305,
"acc_stderr": 0.028893955412115882,
"acc_norm": 0.624113475177305,
"acc_norm_stderr": 0.028893955412115882
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.5684485006518905,
"acc_stderr": 0.012650007999463902,
"acc_norm": 0.5684485006518905,
"acc_norm_stderr": 0.012650007999463902
},
"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.7977941176470589,
"acc_stderr": 0.024398192986654924,
"acc_norm": 0.7977941176470589,
"acc_norm_stderr": 0.024398192986654924
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.7875816993464052,
"acc_stderr": 0.016547148636203147,
"acc_norm": 0.7875816993464052,
"acc_norm_stderr": 0.016547148636203147
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.7272727272727273,
"acc_stderr": 0.04265792110940588,
"acc_norm": 0.7272727272727273,
"acc_norm_stderr": 0.04265792110940588
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.8204081632653061,
"acc_stderr": 0.024573293589585637,
"acc_norm": 0.8204081632653061,
"acc_norm_stderr": 0.024573293589585637
},
"harness|hendrycksTest-sociology|5": {
"acc": 0.8805970149253731,
"acc_stderr": 0.02292879327721974,
"acc_norm": 0.8805970149253731,
"acc_norm_stderr": 0.02292879327721974
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.88,
"acc_stderr": 0.03265986323710906,
"acc_norm": 0.88,
"acc_norm_stderr": 0.03265986323710906
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5542168674698795,
"acc_stderr": 0.038695433234721015,
"acc_norm": 0.5542168674698795,
"acc_norm_stderr": 0.038695433234721015
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8538011695906432,
"acc_stderr": 0.027097290118070827,
"acc_norm": 0.8538011695906432,
"acc_norm_stderr": 0.027097290118070827
},
"harness|truthfulqa:mc|0": {
"mc1": 0.3990208078335373,
"mc1_stderr": 0.01714282572849677,
"mc2": 0.575213422471882,
"mc2_stderr": 0.01606436002486393
},
"harness|winogrande|5": {
"acc": 0.7545382794001578,
"acc_stderr": 0.012095272937183653
},
"harness|gsm8k|5": {
"acc": 0.2880970432145565,
"acc_stderr": 0.012474469737197923
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
[More Information Needed] |
irds/mmarco_es | ---
pretty_name: '`mmarco/es`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `mmarco/es`
The `mmarco/es` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/mmarco#mmarco/es).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=8,841,823
This dataset is used by: [`mmarco_es_dev`](https://huggingface.co/datasets/irds/mmarco_es_dev), [`mmarco_es_train`](https://huggingface.co/datasets/irds/mmarco_es_train)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/mmarco_es', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
```
Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.
## Citation Information
```
@article{Bonifacio2021MMarco,
title={{mMARCO}: A Multilingual Version of {MS MARCO} Passage Ranking Dataset},
author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira},
year={2021},
journal={arXiv:2108.13897}
}
```
|
m4so/jaspeech | ---
language:
- ja
license: cc0-1.0
size_categories:
- 10K<n<100K
task_categories:
- automatic-speech-recognition
pretty_name: Japanese-Anime-Speech
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 10116168716.932
num_examples: 73004
download_size: 8832932312
dataset_size: 10116168716.932
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- anime
- japanese
- 日本語
- nihongo
- speech
- audio-text
- asr
- whisper
- voice
- large-v3
- ja
- jp
---
# Japanese Anime Speech Dataset
[**日本語はこちら**](https://huggingface.co/datasets/joujiboi/japanese-anime-speech/blob/main/README_JA.md)
**japanese-anime-speech** is an audio-text dataset designed for the training of automatic speech recognition models. The dataset is comprised of thousands of audio clips and their corresponding transcriptions from different visual novels.
The goal of this dataset is to increase the accuracy of automatic speech recognition models, such as OpenAI's [Whisper](https://huggingface.co/openai/whisper-large-v2), in accurately transcribing dialogue from anime and other similar Japanese media. This genre is characterized by unique linguistic features and speech patterns that diverge from conventional Japanese speech.
A list of all audio files and transcriptions are [**here**](https://huggingface.co/datasets/joujiboi/japanese-anime-speech/raw/main/audio_transcription_list.txt).
<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
<p><b>Content Warning:</b> Please be advised that the majority of the audio in this dataset is sourced from visual novels and may include content that is not suitable for all audiences, such as suggestive sounds or mature topics. Efforts have been undertaken to minimise this content as much as possible. </p>
</div>
# Dataset information
* **73,004** audio-text pairs
* **110 hours** of audio (OpenAI suggests a minimum of [5 hours](https://huggingface.co/blog/fine-tune-whisper) for productive [Whisper](https://huggingface.co/openai/whisper-large-v2) fine-tuning).
* **5.4s** average audio length
* Transcriptions have been scraped directly from the game files of **visual novels**
* Lastest version: **V5 - March 22nd 2024**
# Changelog
* V1 - This version contains **16,143** audio-text pairs from the visual novel `IxSHE Tell`. Some cleaning of the transcriptions has been done to get rid of unwanted characters at the start and end of lines.
* V2 - The version contains **23,422** audio-text pairs from three different visual novels. Cleaning has been done to remove most nsfw lines, especially noises that aren't words. The audio is now in mp3 format, rather than wav. This version contains **32.6** hours of audio.
* V3 - The version contains **38,325** audio-text pairs from five different visual novels. Thorough cleaning has been done to remove most nsfw or low-quality audio files. Transcriptions have been formatted to contain much fewer dramatised duplicated characters (for example 「ああああーーー」), and transcriptions have been made much more consistent. This version contains **52.5 hours** of audio.
* V4 - The dataset contains **47,844** audio-text pairs from six different visual novels. Thorough cleaning has been done to remove most nsfw or low-quality audio files. This version contains **63.4 hours** of audio.
* **V5** - The dataset contains **73,004** audio-text pairs from eight different visual novels. Thorough cleaning has been done to remove most nsfw or low-quality audio files. This version contains **110 hours** of audio.
# Bias and Limitations
This dataset, while valuable for training anime-style Japanese speech recognition, has some inherent biases and limitations. The audio is primarily sourced from visual novels, leading to a gender bias towards female voices and a domain-specific vocabulary revolving around topics such as love, relationships, and fantasy. Additionally, the professionally produced nature of the audio results in clear and slow speech, which may not fully reflect real-world speaking patterns.
# Use & Credit
This dataset is openly available for commercial or non-commercial use. Anyone is welcome to use this dataset as they deem appropriate. However, the creator assumes no responsibility for the consequences of its use. While not mandatory, crediting this dataset with a hyperlink in any derivative work would be greatly appreciated.
I hope that by sharing this dataset, we (the open-source community) improve automatic speech recognition for anime content. |
autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558893 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jeffdshen/inverse_superglue_mixedp1
eval_info:
task: text_zero_shot_classification
model: facebook/opt-2.7b
metrics: []
dataset_name: jeffdshen/inverse_superglue_mixedp1
dataset_config: jeffdshen--inverse_superglue_mixedp1
dataset_split: train
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: jeffdshen/inverse_superglue_mixedp1
* Config: jeffdshen--inverse_superglue_mixedp1
* Split: train
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@jeffdshen](https://huggingface.co/jeffdshen) for evaluating this model. |
PROCESOS/id_reversoNuevo | ---
license: c-uda
---
|
ds3lab/ac-sgd-arxiv21 | ---
license: apache-2.0
---
|
luizlzg/drbyte_dataset | ---
task_categories:
- text-generation
language:
- pt
tags:
- medical
- biology
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: drbyte_ptbr_treino*
- split: test
path: drbyte_ptbr_teste*
- split: validation
path: drbyte_ptbr_valid*
---
# Descrição geral
O seguinte dataset, responsável pelo treinamento do modelo apelidado de Dr Byte, é um dataset, com informações da área da saúde, para o fine tuning com instruções de modelos de linguagem. <br> <br>
Além disso, os datasets contam com dúvidas gerais de pacientes, dúvidas sobre medicamentos, questões de múltipla escolha de vestibulares de medicina, dados de biomedicina, dentre outros. <br>
# Construção do Dataset
O dataset foi construído a partir da tradução, do inglês para o português, dos seguintes datasets (nem todos foram utilizados em sua totalidade):
## Treino:
- MedQA (USMLE), que contém conhecimentos médicos gerais do exame de licenciamento médico dos EUA. (10082 dados) <br>
- MedMCQA, que contém conhecimentos médicos gerais de vestibulares de medicina indianos. (9736 dados) <br>
- LiveQA, que contém dúvidas de conhecimentos médicos gerais, provenientes de pessoas que não são da área. (622 dados) <br>
- MedicationQA, que contém dúvidas frequentes sobre medicamentos, provenientes de pessoas que não são da área. (687 dados) <br> <br> <br>
- Total de dados de treino: 21127 dados.
## Teste
- MedMCQA (SPLIT DE VALIDAÇÃO), que contém conhecimentos médicos gerais de vestibulares de medicina indianos. (4183 dados) <br>
- MedQA (USMLE) (SPLIT DE TESTE), que contém conhecimentos médicos gerais do exame de licenciamento médico dos EUA. (1273 dados) <br>
- PubMedQA (SPLIT DE TESTE), que contém dados da literatura científica de biomedicina. (500 dados) <br>
- MMLU (SPLIT DE TESTE), que cobre questões de múltipla escolha acerca de conhecimento médico, cobrindo os seguintes temas: anatomia, conhecimento clínico, questões de faculdade de medicina, genética médica, questões medicina profissional e biologia universitária.(1089 dados) <br> <br> <br>
- Total de dados de teste: 7045 dados.
# Características dos dados:
Os datasets possuem as seguintes features, para cada split do dataset: <br>
## Treino:
- 'instruction': é a instrução em si, geralmente é uma pergunta ou uma questão de múltipla escolha junto com suas respectivas alternativas. <br>
- 'output': é a resposta esperada para a instrução, pode ser uma resposta direta, uma alternativa e/ou uma explicação a respeito da alternativa. <br>
## Teste:
- 'dataset': o dataset de onde o dado é proveniente. <br>
- 'instruction': a instrução em si. <br>
- 'input': pode estar presente ou não (geralmente só no dataset PubMedQA) e é um contexto adicional para a resolução da instrução. <br>
- 'output': é a resposta esperada para a instrução. <br>
- 'alternativa_a': o texto da alternativa A, quando está presente. <br>
- 'alternativa_b': o texto da alternativa B, quando está presente. <br>
- 'alternativa_c': o texto da alternativa C, quando está presente. <br>
- 'alternativa_d': o texto da alternativa D, quando está presente. <br> |
autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935738 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: facebook/bart-large-xsum
metrics: ['bleu']
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@xarymast](https://huggingface.co/xarymast) for evaluating this model. |
aimsks/ts-aims-reefscapes-marine-features | ---
license: cc-by-4.0
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 313066076.0
num_examples: 772
- name: test
num_bytes: 174907531.0
num_examples: 423
- name: validation
num_bytes: 79156495.0
num_examples: 194
download_size: 565979839
dataset_size: 567130102.0
---
|
CyberHarem/sothis_fireemblem | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of sothis (Fire Emblem)
This is the dataset of sothis (Fire Emblem), containing 433 images and their tags.
The core tags of this character are `green_hair, long_hair, braid, green_eyes, twin_braids, ribbon_braid, pointy_ears, ribbon, hair_ornament, hair_ribbon, side_braid`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 433 | 548.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sothis_fireemblem/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 433 | 325.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sothis_fireemblem/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 939 | 654.56 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sothis_fireemblem/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 433 | 489.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sothis_fireemblem/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 939 | 900.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sothis_fireemblem/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/sothis_fireemblem',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 11 |  |  |  |  |  | 1girl, closed_mouth, simple_background, solo, tiara, upper_body, smile, white_background, looking_at_viewer |
| 1 | 25 |  |  |  |  |  | 1girl, dress, solo, tiara, barefoot, closed_mouth, full_body, smile, anklet, very_long_hair, simple_background, looking_at_viewer |
| 2 | 7 |  |  |  |  |  | 1girl, closed_mouth, sitting, solo, tiara, dress, smile, very_long_hair, throne |
| 3 | 5 |  |  |  |  |  | 1girl, christmas_ornaments, fur_trim, simple_background, smile, solo, tiara, closed_mouth, dress, full_body, white_background, very_long_hair |
| 4 | 9 |  |  |  |  |  | 1girl, fur_trim, gift_box, tiara, christmas_ornaments, smile, solo, dress, closed_mouth, holding, open_mouth |
| 5 | 8 |  |  |  |  |  | 1girl, bangs, cleavage, cosplay, official_alternate_costume, solo, tiara, medium_hair, clothing_cutout, hair_between_eyes, large_breasts, looking_at_viewer, blue_dress, blush, bare_shoulders, closed_mouth, upper_body |
| 6 | 9 |  |  |  |  |  | 2girls, tiara, dress, simple_background, white_background, open_mouth, smile, closed_mouth |
| 7 | 12 |  |  |  |  |  | halloween_costume, witch_hat, smile, 1girl, holding, striped, black_dress, black_headwear, lollipop, looking_at_viewer, official_alternate_costume, open_mouth, puffy_short_sleeves, broom, 1boy, solo |
| 8 | 18 |  |  |  |  |  | 1girl, hetero, nipples, penis, solo_focus, pussy, sex, 1boy, vaginal, small_breasts, tiara, uncensored, completely_nude, cum, navel, spread_legs |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | closed_mouth | simple_background | solo | tiara | upper_body | smile | white_background | looking_at_viewer | dress | barefoot | full_body | anklet | very_long_hair | sitting | throne | christmas_ornaments | fur_trim | gift_box | holding | open_mouth | bangs | cleavage | cosplay | official_alternate_costume | medium_hair | clothing_cutout | hair_between_eyes | large_breasts | blue_dress | blush | bare_shoulders | 2girls | halloween_costume | witch_hat | striped | black_dress | black_headwear | lollipop | puffy_short_sleeves | broom | 1boy | hetero | nipples | penis | solo_focus | pussy | sex | vaginal | small_breasts | uncensored | completely_nude | cum | navel | spread_legs |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:--------------------|:-------|:--------|:-------------|:--------|:-------------------|:--------------------|:--------|:-----------|:------------|:---------|:-----------------|:----------|:---------|:----------------------|:-----------|:-----------|:----------|:-------------|:--------|:-----------|:----------|:-----------------------------|:--------------|:------------------|:--------------------|:----------------|:-------------|:--------|:-----------------|:---------|:--------------------|:------------|:----------|:--------------|:-----------------|:-----------|:----------------------|:--------|:-------|:---------|:----------|:--------|:-------------|:--------|:------|:----------|:----------------|:-------------|:------------------|:------|:--------|:--------------|
| 0 | 11 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 25 |  |  |  |  |  | X | X | X | X | X | | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | X | | X | X | | X | | | X | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | X | X | X | X | | X | X | | X | | X | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 9 |  |  |  |  |  | X | X | | X | X | | X | | | X | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 8 |  |  |  |  |  | X | X | | X | X | X | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 9 |  |  |  |  |  | | X | X | | X | | X | X | | X | | | | | | | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 12 |  |  |  |  |  | X | | | X | | | X | | X | | | | | | | | | | | X | X | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | |
| 8 | 18 |  |  |  |  |  | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
|
gmenon/slt-lyrics-audio | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: eval
path: data/eval-*
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 5522199699.224
num_examples: 9538
- name: eval
num_bytes: 299870166.0
num_examples: 507
download_size: 5411106600
dataset_size: 5822069865.224
---
# Dataset Card for "slt-lyrics-audio"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
sp01/Automotive_NER | ---
license: apache-2.0
---
|
kamilakesbi/real_ami_ihm_processed | ---
dataset_info:
features:
- name: waveforms
sequence: float64
- name: labels
sequence:
sequence: uint8
- name: nb_speakers
sequence: int8
splits:
- name: train
num_bytes: 74292361798.0
num_examples: 57876
- name: validation
num_bytes: 4458195854
num_examples: 3473
- name: test
num_bytes: 16677042696
num_examples: 12992
download_size: 21350053126
dataset_size: 95427600348.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
britneymuller/cnbc_newsfeed | ---
license: other
---
|
open-llm-leaderboard/details_psyche__kollama2-7b-v2 | ---
pretty_name: Evaluation run of psyche/kollama2-7b-v2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [psyche/kollama2-7b-v2](https://huggingface.co/psyche/kollama2-7b-v2) on the [Open\
\ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 3 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 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.\n\
\nAn 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)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_psyche__kollama2-7b-v2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-10-16T01:12:44.878519](https://huggingface.co/datasets/open-llm-leaderboard/details_psyche__kollama2-7b-v2/blob/main/results_2023-10-16T01-12-44.878519.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):\n\n```python\n{\n \"all\": {\n \"em\": 0.01740771812080537,\n\
\ \"em_stderr\": 0.0013393597649753845,\n \"f1\": 0.10400272651006709,\n\
\ \"f1_stderr\": 0.0021202520572007394,\n \"acc\": 0.41065886057278334,\n\
\ \"acc_stderr\": 0.009434613134114641\n },\n \"harness|drop|3\": {\n\
\ \"em\": 0.01740771812080537,\n \"em_stderr\": 0.0013393597649753845,\n\
\ \"f1\": 0.10400272651006709,\n \"f1_stderr\": 0.0021202520572007394\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.06520090978013647,\n \
\ \"acc_stderr\": 0.006800302989321092\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7561168113654302,\n \"acc_stderr\": 0.012068923278908189\n\
\ }\n}\n```"
repo_url: https://huggingface.co/psyche/kollama2-7b-v2
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_drop_3
data_files:
- split: 2023_10_16T01_12_44.878519
path:
- '**/details_harness|drop|3_2023-10-16T01-12-44.878519.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-10-16T01-12-44.878519.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_10_16T01_12_44.878519
path:
- '**/details_harness|gsm8k|5_2023-10-16T01-12-44.878519.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-10-16T01-12-44.878519.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_10_16T01_12_44.878519
path:
- '**/details_harness|winogrande|5_2023-10-16T01-12-44.878519.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-10-16T01-12-44.878519.parquet'
- config_name: results
data_files:
- split: 2023_10_16T01_12_44.878519
path:
- results_2023-10-16T01-12-44.878519.parquet
- split: latest
path:
- results_2023-10-16T01-12-44.878519.parquet
---
# Dataset Card for Evaluation run of psyche/kollama2-7b-v2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/psyche/kollama2-7b-v2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [psyche/kollama2-7b-v2](https://huggingface.co/psyche/kollama2-7b-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 3 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_psyche__kollama2-7b-v2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-10-16T01:12:44.878519](https://huggingface.co/datasets/open-llm-leaderboard/details_psyche__kollama2-7b-v2/blob/main/results_2023-10-16T01-12-44.878519.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):
```python
{
"all": {
"em": 0.01740771812080537,
"em_stderr": 0.0013393597649753845,
"f1": 0.10400272651006709,
"f1_stderr": 0.0021202520572007394,
"acc": 0.41065886057278334,
"acc_stderr": 0.009434613134114641
},
"harness|drop|3": {
"em": 0.01740771812080537,
"em_stderr": 0.0013393597649753845,
"f1": 0.10400272651006709,
"f1_stderr": 0.0021202520572007394
},
"harness|gsm8k|5": {
"acc": 0.06520090978013647,
"acc_stderr": 0.006800302989321092
},
"harness|winogrande|5": {
"acc": 0.7561168113654302,
"acc_stderr": 0.012068923278908189
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
open-llm-leaderboard/details_chargoddard__MelangeC-70b | ---
pretty_name: Evaluation run of chargoddard/MelangeC-70b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [chargoddard/MelangeC-70b](https://huggingface.co/chargoddard/MelangeC-70b) on\
\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe 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.\n\
\nAn 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)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_chargoddard__MelangeC-70b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-09-23T03:39:16.431965](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__MelangeC-70b/blob/main/results_2023-09-23T03-39-16.431965.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):\n\n```python\n{\n \"all\": {\n \"em\": 0.489618288590604,\n\
\ \"em_stderr\": 0.005119364104825758,\n \"f1\": 0.5680631291946334,\n\
\ \"f1_stderr\": 0.004723246870166152,\n \"acc\": 0.4198895027624309,\n\
\ \"acc_stderr\": 0.005154604749093739\n },\n \"harness|drop|3\": {\n\
\ \"em\": 0.489618288590604,\n \"em_stderr\": 0.005119364104825758,\n\
\ \"f1\": 0.5680631291946334,\n \"f1_stderr\": 0.004723246870166152\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\
: 0.0\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.8397790055248618,\n\
\ \"acc_stderr\": 0.010309209498187479\n }\n}\n```"
repo_url: https://huggingface.co/chargoddard/MelangeC-70b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|arc:challenge|25_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_09_23T03_39_16.431965
path:
- '**/details_harness|drop|3_2023-09-23T03-39-16.431965.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-09-23T03-39-16.431965.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_09_23T03_39_16.431965
path:
- '**/details_harness|gsm8k|5_2023-09-23T03-39-16.431965.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-09-23T03-39-16.431965.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hellaswag|10_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-08-23T15:40:38.458774.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-management|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-virology|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_08_23T15_40_38.458774
path:
- '**/details_harness|truthfulqa:mc|0_2023-08-23T15:40:38.458774.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-08-23T15:40:38.458774.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_09_23T03_39_16.431965
path:
- '**/details_harness|winogrande|5_2023-09-23T03-39-16.431965.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-09-23T03-39-16.431965.parquet'
- config_name: results
data_files:
- split: 2023_09_23T03_39_16.431965
path:
- results_2023-09-23T03-39-16.431965.parquet
- split: latest
path:
- results_2023-09-23T03-39-16.431965.parquet
---
# Dataset Card for Evaluation run of chargoddard/MelangeC-70b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/chargoddard/MelangeC-70b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [chargoddard/MelangeC-70b](https://huggingface.co/chargoddard/MelangeC-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
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.
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)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_chargoddard__MelangeC-70b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-09-23T03:39:16.431965](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__MelangeC-70b/blob/main/results_2023-09-23T03-39-16.431965.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):
```python
{
"all": {
"em": 0.489618288590604,
"em_stderr": 0.005119364104825758,
"f1": 0.5680631291946334,
"f1_stderr": 0.004723246870166152,
"acc": 0.4198895027624309,
"acc_stderr": 0.005154604749093739
},
"harness|drop|3": {
"em": 0.489618288590604,
"em_stderr": 0.005119364104825758,
"f1": 0.5680631291946334,
"f1_stderr": 0.004723246870166152
},
"harness|gsm8k|5": {
"acc": 0.0,
"acc_stderr": 0.0
},
"harness|winogrande|5": {
"acc": 0.8397790055248618,
"acc_stderr": 0.010309209498187479
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
skrishna/salient_translation_error_detection_preprocessed | ---
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
sequence: string
- name: multiple_choice_targets
sequence: string
- name: multiple_choice_scores
sequence: int32
- name: idx
dtype: int32
splits:
- name: train
num_bytes: 999293
num_examples: 799
- name: validation
num_bytes: 250301
num_examples: 199
download_size: 0
dataset_size: 1249594
---
# Dataset Card for "salient_translation_error_detection_preprocessed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
pssubitha/sales4-formatted | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 46461
num_examples: 120
download_size: 24850
dataset_size: 46461
---
# Dataset Card for "sales4-formatted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
akumoth/peewee-issues | ---
dataset_info:
features:
- name: url
dtype: string
- name: repository_url
dtype: string
- name: labels_url
dtype: string
- name: comments_url
dtype: string
- name: events_url
dtype: string
- name: html_url
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: number
dtype: int64
- name: title
dtype: string
- name: user
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: site_admin
dtype: bool
- name: labels
list:
- name: id
dtype: int64
- name: node_id
dtype: string
- name: url
dtype: string
- name: name
dtype: string
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: 'null'
- name: state
dtype: string
- name: locked
dtype: bool
- name: assignee
dtype: 'null'
- name: assignees
sequence: 'null'
- name: milestone
dtype: 'null'
- name: comments
sequence: string
- name: created_at
dtype: timestamp[s]
- name: updated_at
dtype: timestamp[s]
- name: closed_at
dtype: timestamp[s]
- name: author_association
dtype: string
- name: active_lock_reason
dtype: string
- name: body
dtype: string
- name: reactions
struct:
- name: url
dtype: string
- name: total_count
dtype: int64
- name: '+1'
dtype: int64
- name: '-1'
dtype: int64
- name: laugh
dtype: int64
- name: hooray
dtype: int64
- name: confused
dtype: int64
- name: heart
dtype: int64
- name: rocket
dtype: int64
- name: eyes
dtype: int64
- name: timeline_url
dtype: string
- name: performed_via_github_app
dtype: 'null'
- name: state_reason
dtype: string
- name: draft
dtype: bool
- name: pull_request
struct:
- name: url
dtype: string
- name: html_url
dtype: string
- name: diff_url
dtype: string
- name: patch_url
dtype: string
- name: merged_at
dtype: timestamp[s]
splits:
- name: train
num_bytes: 9990717
num_examples: 2814
download_size: 3607838
dataset_size: 9990717
annotations_creators:
- found
language:
- en
language_creators:
- found
license:
- mit
multilinguality:
- monolingual
pretty_name: Peewee Github Issues
size_categories:
- n<1K
source_datasets:
- original
tags:
- peewee
- python
- github
- issues
task_categories:
- text-classification
- feature-extraction
task_ids:
- topic-classification
- multi-label-classification
---
# Dataset Card for Peewee Issues
## Dataset Summary
Peewee Issues is a dataset containing all the issues in the [Peewee github repository](https://github.com/coleifer/peewee) up to the last date of extraction (5/3/2023). It has been made for educational purposes in mind (especifically, to get me used to using Hugging Face's datasets), but can be used for multi-label classification or semantic search. The contents are all in English and concern SQL databases and ORM libraries. |
mteb-pt/scidocs | ---
configs:
- config_name: pt-br
data_files:
- split: test
path: test*
- split: validation
path: scidocs_validation*
--- |
davanstrien/ia-loaded-embedded | Invalid username or password. |
heliosprime/twitter_dataset_1713036885 | ---
dataset_info:
features:
- name: id
dtype: string
- name: tweet_content
dtype: string
- name: user_name
dtype: string
- name: user_id
dtype: string
- name: created_at
dtype: string
- name: url
dtype: string
- name: favourite_count
dtype: int64
- name: scraped_at
dtype: string
- name: image_urls
dtype: string
splits:
- name: train
num_bytes: 15807
num_examples: 34
download_size: 11798
dataset_size: 15807
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "twitter_dataset_1713036885"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
PaDaS-Lab/legal-reference-annotations | ---
license: mit
---
In this dataset, we present a dataset of 2944 legal references in German law that are manually annotated by law experts. This dataset has 21 properties for each law reference in the dataset, such as _Buch_, _Teil_, _Titel_, _Untertitel_, etc. It also provides the complete text of each law reference in the dataset, along with specific paragraph text mentioned in the law reference.
Paper: [A Dataset of German Legal Reference Annotations](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=c5KToK8AAAAJ&citation_for_view=c5KToK8AAAAJ:9yKSN-GCB0IC)
Please reference our work when using this dataset:
```tex
@inproceedings{10.1145/3594536.3595173,
author = {Darji, Harshil and Mitrovi\'{c}, Jelena and Granitzer, Michael},
title = {A Dataset of German Legal Reference Annotations},
year = {2023},
isbn = {9798400701979},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3594536.3595173},
doi = {10.1145/3594536.3595173},
abstract = {The field of legal Natural Language Processing faces a lot of challenges due to the unavailability of properly structured datasets. One such instance is the need for a dataset that not only separates different parts of legal references, such as an article or paragraph number but also provides information about what a particular legal reference dictates. Having access to such a dataset can provide easy access to researchers working on experiments such as context similarity between law texts and legal cases that refer to a particular law. In this paper, we present a dataset of 2944 legal references in German law that are manually annotated by law experts. This dataset has 21 properties for each law reference in the dataset, such as Buch, Teil, Titel, Untertitel, etc. It also provides the complete text of each law reference in the dataset, along with specific paragraph text mentioned in the law reference. Furthermore, using this dataset together with Open Legal Data, we perform a law reference prediction task to compare the performance between predicting full law reference and only the base law reference.},
booktitle = {Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law},
pages = {392–396},
numpages = {5},
keywords = {NLP, Law Reference Annotations, Sentence Transformers, Legal Language Processing, Law References, Open Legal Data},
location = {Braga, Portugal},
series = {ICAIL '23}
}
``` |
SINAI/SFU-Review-SP-Neg | ---
license: cc-by-nc-sa-4.0
language:
- es
tags:
- negation
pretty_name: SFU-Review-SP-Neg
configs:
- config_name: default
data_files:
- split: coches
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/coches.txt
- split: hoteles
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/hoteles.txt
- split: lavadoras
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/lavadoras.txt
- split: libros
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/libros.txt
- split: moviles
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/moviles.txt
- split: musica
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/musica.txt
- split: ordenadores
path: >-
SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/ordenadores.txt
- split: peliculas
path: SFU_Review_SP_NEG_cue_scope_event_with_dependency_info_CoNLL/peliculas.txt
---
### Dataset Description
**Papers**:
- [SFU Review SP-NEG: a Spanish corpus annotated with negation for sentiment analysis. A typology of negation patterns.](https://link.springer.com/content/pdf/10.1007/s10579-017-9391-x.pdf)
- [Relevance of the SFU Review SP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish](https://www.scopus.com/record/display.uri?eid=2-s2.0-85036470241&origin=inward&txGid=cf711d60bace4b72a28bbe9f30fe6c1f)
- [Problematic cases in the annotation of negation in Spanish](https://aclanthology.org/W16-5006.pdf)
- [La negación en español: análisis y tipología de patrones de negación](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/download/5335/3148)
**Point of Contact**: sjzafra@ujaen.es, maite@ujaen.es
This corpus is an extension of the SFU Spanish Review Corpus (Brooke et al., 2009) with annotations about negation and its scope. It is a collection of 400 reviews of cars, hotels, washing machines, books, cell phones, music, computers and movies from the Ciao.es website. Each domain contains 25 positive and 25 negative reviews. Each review has been annotated at the token level with the lemma and the PoS and at the sentence level with negative keywords, their linguistic scope, the event and how the polarity of the sentence is affected by negation (if there is a change in the polarity or an increment or reduction of its value), also taking into account intensifiers and diminishers.
### Licensing Information
SFU-Review-SP-Neg is released under the [Apache-2.0 License](http://www.apache.org/licenses/LICENSE-2.0).
### Citation Information
```bibtex
@article{article,
author = {Zafra, Salud María and Delor, Mariona and Martín-Valdivia, Maria and López, L. and Martí, Antonia},
year = {2018},
month = {06},
pages = {1-37},
title = {SFU ReviewSP-NEG: a Spanish corpus annotated with negation for sentiment analysis. A typology of negation patterns},
volume = {52},
journal = {Language Resources and Evaluation},
doi = {10.1007/s10579-017-9391-x}
}
```
```bibtex
@ARTICLE{Jiménez-Zafra2018240,
author = {Jiménez-Zafra, Salud María and Martín-Valdivia, M. Teresa and Molina-González, M. Dolores and Ureña-López, L. Alfonso},
title = {Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish},
year = {2018},
journal = {Information Processing and Management},
volume = {54},
number = {2},
pages = {240 – 251},
doi = {10.1016/j.ipm.2017.11.007},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036470241&doi=10.1016%2fj.ipm.2017.11.007&partnerID=40&md5=ab1b45f84f48a0307ef6d0412de3e6a6},
type = {Article},
publication_stage = {Final},
source = {Scopus},
note = {Cited by: 9}
}
```
```bibtex
@inproceedings{jimenez-zafra-etal-2016-problematic,
title = "Problematic Cases in the Annotation of Negation in {S}panish",
author = "Jim{\'e}nez-Zafra, Salud Mar{\'\i}a and
Martin, Maite and
Ure{\~n}a-L{\'o}pez, L. Alfonso and
Mart{\'\i}, Toni and
Taul{\'e}, Mariona",
editor = "Blanco, Eduardo and
Morante, Roser and
Saur{\'\i}, Roser",
booktitle = "Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics ({E}x{P}ro{M})",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/W16-5006",
pages = "42--48",
abstract = "This paper presents the main sources of disagreement found during the annotation of the Spanish SFU Review Corpus with negation (SFU ReviewSP -NEG). Negation detection is a challenge in most of the task related to NLP, so the availability of corpora annotated with this phenomenon is essential in order to advance in tasks related to this area. A thorough analysis of the problems found during the annotation could help in the study of this phenomenon.",
}
```
```bibtex
@article{PLN5335,
author = {M. Antónia Martí y M. Teresa Martín-Valdivia y Mariona Taulé y Salud María Jiménez-Zafra y Montserrat Nofre y Laia Marsó},
title = {La negación en español: análisis y tipología de patrones de negación},
journal = {Procesamiento del Lenguaje Natural},
volume = {57},
number = {0},
year = {2016},
keywords = {},
abstract = {En este artículo se presentan los criterios aplicados para la anotación del corpus SFU ReviewSP-NEGcon negación y la tipología lingüística correspondiente. Esta tipología presenta la ventaja de ser fácilmente expresable en términos de un tagset para la anotación de corpus, de presentar tipos claramente delimitados, evitando así la ambigüedad en el proceso de anotación, y de presentar una amplia cobertura, es decir, que ha servido para resolver todos los casos que han aparecido. El corpus contiene 400 comentarios y 198.551 palabras. Actualmente está anotado en un 75% y, de un total de 6.331 oraciones revisadas, se han identificado 2.953 estructuras de negación.},
issn = {1989-7553},
url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/5335},
pages = {41--48}
}
``` |
kristmh/mongoDB_testset | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: validate
path: data/validate-*
dataset_info:
features:
- name: text_clean
dtype: string
- name: label
dtype: int64
splits:
- name: test
num_bytes: 103403
num_examples: 181
- name: train
num_bytes: 827091
num_examples: 1448
- name: validate
num_bytes: 109188
num_examples: 181
download_size: 509576
dataset_size: 1039682
---
# Dataset Card for "mongoDB_testset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
shinexia/dataset1 | ---
license: mit
---
|
CyberHarem/katsuragi_kantaicollection | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of katsuragi/葛城 (Kantai Collection)
This is the dataset of katsuragi/葛城 (Kantai Collection), containing 423 images and their tags.
The core tags of this character are `black_hair, long_hair, ribbon, ponytail, hair_ribbon, blue_eyes, white_ribbon`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 423 | 400.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/katsuragi_kantaicollection/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 423 | 278.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/katsuragi_kantaicollection/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 940 | 559.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/katsuragi_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 423 | 376.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/katsuragi_kantaicollection/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 940 | 706.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/katsuragi_kantaicollection/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/katsuragi_kantaicollection',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 8 |  |  |  |  |  | 1girl, bow_(weapon), fingerless_gloves, japanese_clothes, looking_at_viewer, midriff, smile, solo, black_thighhighs, navel, arrow_(projectile), armor, pleated_skirt, elbow_gloves, simple_background, uneven_gloves, white_background |
| 1 | 8 |  |  |  |  |  | 1girl, fingerless_gloves, looking_at_viewer, midriff, solo, navel, japanese_clothes, smile, uneven_gloves, black_thighhighs, elbow_gloves, bow_(weapon), pleated_skirt |
| 2 | 9 |  |  |  |  |  | 1girl, japanese_clothes, midriff, open_mouth, solo, looking_at_viewer, navel, :d, skirt |
| 3 | 9 |  |  |  |  |  | 1girl, japanese_clothes, solo, upper_body, looking_at_viewer, smile, simple_background, midriff, open_mouth |
| 4 | 6 |  |  |  |  |  | 1girl, looking_at_viewer, navel, small_breasts, solo, blush, collarbone, simple_background, white_background, groin, nude |
| 5 | 5 |  |  |  |  |  | 1girl, obi, solo, alternate_costume, furisode, looking_at_viewer, open_mouth, wide_sleeves, green_kimono, simple_background, white_background, floral_print, hair_between_eyes, long_sleeves, smile |
| 6 | 7 |  |  |  |  |  | detached_collar, fake_animal_ears, playboy_bunny, rabbit_ears, bowtie, strapless_leotard, wrist_cuffs, looking_at_viewer, simple_background, small_breasts, white_background, 1girl, cowboy_shot, solo, 2girls, black_pantyhose |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bow_(weapon) | fingerless_gloves | japanese_clothes | looking_at_viewer | midriff | smile | solo | black_thighhighs | navel | arrow_(projectile) | armor | pleated_skirt | elbow_gloves | simple_background | uneven_gloves | white_background | open_mouth | :d | skirt | upper_body | small_breasts | blush | collarbone | groin | nude | obi | alternate_costume | furisode | wide_sleeves | green_kimono | floral_print | hair_between_eyes | long_sleeves | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | bowtie | strapless_leotard | wrist_cuffs | cowboy_shot | 2girls | black_pantyhose |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:--------------------|:-------------------|:--------------------|:----------|:--------|:-------|:-------------------|:--------|:---------------------|:--------|:----------------|:---------------|:--------------------|:----------------|:-------------------|:-------------|:-----|:--------|:-------------|:----------------|:--------|:-------------|:--------|:-------|:------|:--------------------|:-----------|:---------------|:---------------|:---------------|:--------------------|:---------------|:------------------|:-------------------|:----------------|:--------------|:---------|:--------------------|:--------------|:--------------|:---------|:------------------|
| 0 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 8 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | | | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 9 |  |  |  |  |  | X | | | X | X | X | | X | | X | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 9 |  |  |  |  |  | X | | | X | X | X | X | X | | | | | | | X | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 6 |  |  |  |  |  | X | | | | X | | | X | | X | | | | | X | | X | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | X | | | | X | | X | X | | | | | | | X | | X | X | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | |
| 6 | 7 |  |  |  |  |  | X | | | | X | | | X | | | | | | | X | | X | | | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X |
|
thauan002/createvoice00 | ---
license: openrail
---
|
open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v15.4 | ---
pretty_name: Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v15.4
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [OpenBuddy/openbuddy-mixtral-8x7b-v15.4](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v15.4)\
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 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.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v15.4\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-30T15:32:21.448389](https://huggingface.co/datasets/open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v15.4/blob/main/results_2023-12-30T15-32-21.448389.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6934467920122487,\n\
\ \"acc_stderr\": 0.030787993284565957,\n \"acc_norm\": 0.6997711235478742,\n\
\ \"acc_norm_stderr\": 0.031369777502468055,\n \"mc1\": 0.3953488372093023,\n\
\ \"mc1_stderr\": 0.017115815632418187,\n \"mc2\": 0.5546229838725043,\n\
\ \"mc2_stderr\": 0.01500911833285647\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6271331058020477,\n \"acc_stderr\": 0.014131176760131169,\n\
\ \"acc_norm\": 0.6646757679180887,\n \"acc_norm_stderr\": 0.013796182947785562\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5341565425214101,\n\
\ \"acc_stderr\": 0.004978124945759845,\n \"acc_norm\": 0.7180840470025891,\n\
\ \"acc_norm_stderr\": 0.00449013069102043\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6296296296296297,\n\
\ \"acc_stderr\": 0.041716541613545426,\n \"acc_norm\": 0.6296296296296297,\n\
\ \"acc_norm_stderr\": 0.041716541613545426\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.7960526315789473,\n \"acc_stderr\": 0.032790004063100495,\n\
\ \"acc_norm\": 0.7960526315789473,\n \"acc_norm_stderr\": 0.032790004063100495\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.7,\n\
\ \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.7,\n \
\ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.7396226415094339,\n \"acc_stderr\": 0.027008766090708042,\n\
\ \"acc_norm\": 0.7396226415094339,\n \"acc_norm_stderr\": 0.027008766090708042\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8055555555555556,\n\
\ \"acc_stderr\": 0.03309615177059007,\n \"acc_norm\": 0.8055555555555556,\n\
\ \"acc_norm_stderr\": 0.03309615177059007\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \
\ \"acc_norm\": 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.62,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.62,\n\
\ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6994219653179191,\n\
\ \"acc_stderr\": 0.03496101481191179,\n \"acc_norm\": 0.6994219653179191,\n\
\ \"acc_norm_stderr\": 0.03496101481191179\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.049406356306056595,\n\
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.049406356306056595\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.78,\n \"acc_stderr\": 0.04163331998932264,\n \"acc_norm\": 0.78,\n\
\ \"acc_norm_stderr\": 0.04163331998932264\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.6851063829787234,\n \"acc_stderr\": 0.030363582197238167,\n\
\ \"acc_norm\": 0.6851063829787234,\n \"acc_norm_stderr\": 0.030363582197238167\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5789473684210527,\n\
\ \"acc_stderr\": 0.04644602091222316,\n \"acc_norm\": 0.5789473684210527,\n\
\ \"acc_norm_stderr\": 0.04644602091222316\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.696551724137931,\n \"acc_stderr\": 0.038312260488503336,\n\
\ \"acc_norm\": 0.696551724137931,\n \"acc_norm_stderr\": 0.038312260488503336\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.4497354497354497,\n \"acc_stderr\": 0.02562085704293665,\n \"\
acc_norm\": 0.4497354497354497,\n \"acc_norm_stderr\": 0.02562085704293665\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5555555555555556,\n\
\ \"acc_stderr\": 0.04444444444444449,\n \"acc_norm\": 0.5555555555555556,\n\
\ \"acc_norm_stderr\": 0.04444444444444449\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8290322580645161,\n\
\ \"acc_stderr\": 0.02141724293632159,\n \"acc_norm\": 0.8290322580645161,\n\
\ \"acc_norm_stderr\": 0.02141724293632159\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.6157635467980296,\n \"acc_stderr\": 0.03422398565657551,\n\
\ \"acc_norm\": 0.6157635467980296,\n \"acc_norm_stderr\": 0.03422398565657551\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\"\
: 0.77,\n \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8181818181818182,\n \"acc_stderr\": 0.030117688929503582,\n\
\ \"acc_norm\": 0.8181818181818182,\n \"acc_norm_stderr\": 0.030117688929503582\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.8636363636363636,\n \"acc_stderr\": 0.024450155973189835,\n \"\
acc_norm\": 0.8636363636363636,\n \"acc_norm_stderr\": 0.024450155973189835\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078912,\n\
\ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078912\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.7051282051282052,\n \"acc_stderr\": 0.023119362758232304,\n\
\ \"acc_norm\": 0.7051282051282052,\n \"acc_norm_stderr\": 0.023119362758232304\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.35185185185185186,\n \"acc_stderr\": 0.029116617606083018,\n \
\ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.029116617606083018\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.7899159663865546,\n \"acc_stderr\": 0.026461398717471874,\n\
\ \"acc_norm\": 0.7899159663865546,\n \"acc_norm_stderr\": 0.026461398717471874\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.44370860927152317,\n \"acc_stderr\": 0.04056527902281732,\n \"\
acc_norm\": 0.44370860927152317,\n \"acc_norm_stderr\": 0.04056527902281732\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8678899082568807,\n \"acc_stderr\": 0.014517801914598238,\n \"\
acc_norm\": 0.8678899082568807,\n \"acc_norm_stderr\": 0.014517801914598238\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.5879629629629629,\n \"acc_stderr\": 0.03356787758160831,\n \"\
acc_norm\": 0.5879629629629629,\n \"acc_norm_stderr\": 0.03356787758160831\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8431372549019608,\n \"acc_stderr\": 0.025524722324553346,\n \"\
acc_norm\": 0.8431372549019608,\n \"acc_norm_stderr\": 0.025524722324553346\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8776371308016878,\n \"acc_stderr\": 0.021331741829746793,\n \
\ \"acc_norm\": 0.8776371308016878,\n \"acc_norm_stderr\": 0.021331741829746793\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7533632286995515,\n\
\ \"acc_stderr\": 0.028930413120910888,\n \"acc_norm\": 0.7533632286995515,\n\
\ \"acc_norm_stderr\": 0.028930413120910888\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596913,\n\
\ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596913\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035196,\n \"\
acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035196\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8240740740740741,\n\
\ \"acc_stderr\": 0.036809181416738807,\n \"acc_norm\": 0.8240740740740741,\n\
\ \"acc_norm_stderr\": 0.036809181416738807\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\
\ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5446428571428571,\n\
\ \"acc_stderr\": 0.04726835553719097,\n \"acc_norm\": 0.5446428571428571,\n\
\ \"acc_norm_stderr\": 0.04726835553719097\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8446601941747572,\n \"acc_stderr\": 0.035865947385739734,\n\
\ \"acc_norm\": 0.8446601941747572,\n \"acc_norm_stderr\": 0.035865947385739734\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.905982905982906,\n\
\ \"acc_stderr\": 0.01911989279892498,\n \"acc_norm\": 0.905982905982906,\n\
\ \"acc_norm_stderr\": 0.01911989279892498\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \
\ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932262\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8710089399744572,\n\
\ \"acc_stderr\": 0.01198637154808687,\n \"acc_norm\": 0.8710089399744572,\n\
\ \"acc_norm_stderr\": 0.01198637154808687\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7456647398843931,\n \"acc_stderr\": 0.023445826276545546,\n\
\ \"acc_norm\": 0.7456647398843931,\n \"acc_norm_stderr\": 0.023445826276545546\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.39664804469273746,\n\
\ \"acc_stderr\": 0.016361354769822468,\n \"acc_norm\": 0.39664804469273746,\n\
\ \"acc_norm_stderr\": 0.016361354769822468\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7843137254901961,\n \"acc_stderr\": 0.02355083135199509,\n\
\ \"acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.02355083135199509\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7813504823151125,\n\
\ \"acc_stderr\": 0.023475581417861106,\n \"acc_norm\": 0.7813504823151125,\n\
\ \"acc_norm_stderr\": 0.023475581417861106\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8148148148148148,\n \"acc_stderr\": 0.021613809395224805,\n\
\ \"acc_norm\": 0.8148148148148148,\n \"acc_norm_stderr\": 0.021613809395224805\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5319148936170213,\n \"acc_stderr\": 0.02976667507587387,\n \
\ \"acc_norm\": 0.5319148936170213,\n \"acc_norm_stderr\": 0.02976667507587387\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5176010430247718,\n\
\ \"acc_stderr\": 0.012762321298823643,\n \"acc_norm\": 0.5176010430247718,\n\
\ \"acc_norm_stderr\": 0.012762321298823643\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.7683823529411765,\n \"acc_stderr\": 0.025626533803777562,\n\
\ \"acc_norm\": 0.7683823529411765,\n \"acc_norm_stderr\": 0.025626533803777562\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.7434640522875817,\n \"acc_stderr\": 0.01766784161237899,\n \
\ \"acc_norm\": 0.7434640522875817,\n \"acc_norm_stderr\": 0.01766784161237899\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7090909090909091,\n\
\ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.7090909090909091,\n\
\ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7918367346938775,\n \"acc_stderr\": 0.025991117672813292,\n\
\ \"acc_norm\": 0.7918367346938775,\n \"acc_norm_stderr\": 0.025991117672813292\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8805970149253731,\n\
\ \"acc_stderr\": 0.02292879327721974,\n \"acc_norm\": 0.8805970149253731,\n\
\ \"acc_norm_stderr\": 0.02292879327721974\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \
\ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\
\ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\
\ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\
\ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3953488372093023,\n\
\ \"mc1_stderr\": 0.017115815632418187,\n \"mc2\": 0.5546229838725043,\n\
\ \"mc2_stderr\": 0.01500911833285647\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7166535122336227,\n \"acc_stderr\": 0.012664751735505323\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5185746777862017,\n \
\ \"acc_stderr\": 0.013762977910317584\n }\n}\n```"
repo_url: https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v15.4
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|arc:challenge|25_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|gsm8k|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hellaswag|10_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-30T15-32-21.448389.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-30T15-32-21.448389.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- '**/details_harness|winogrande|5_2023-12-30T15-32-21.448389.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-30T15-32-21.448389.parquet'
- config_name: results
data_files:
- split: 2023_12_30T15_32_21.448389
path:
- results_2023-12-30T15-32-21.448389.parquet
- split: latest
path:
- results_2023-12-30T15-32-21.448389.parquet
---
# Dataset Card for Evaluation run of OpenBuddy/openbuddy-mixtral-8x7b-v15.4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-mixtral-8x7b-v15.4](https://huggingface.co/OpenBuddy/openbuddy-mixtral-8x7b-v15.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v15.4",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-30T15:32:21.448389](https://huggingface.co/datasets/open-llm-leaderboard/details_OpenBuddy__openbuddy-mixtral-8x7b-v15.4/blob/main/results_2023-12-30T15-32-21.448389.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):
```python
{
"all": {
"acc": 0.6934467920122487,
"acc_stderr": 0.030787993284565957,
"acc_norm": 0.6997711235478742,
"acc_norm_stderr": 0.031369777502468055,
"mc1": 0.3953488372093023,
"mc1_stderr": 0.017115815632418187,
"mc2": 0.5546229838725043,
"mc2_stderr": 0.01500911833285647
},
"harness|arc:challenge|25": {
"acc": 0.6271331058020477,
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```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
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### Dataset Sources [optional]
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## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
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### Out-of-Scope Use
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## Dataset Structure
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## Dataset Creation
### Curation Rationale
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### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
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### Annotations [optional]
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#### Annotation process
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#### Who are the annotators?
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#### Personal and Sensitive Information
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## Bias, Risks, and Limitations
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### Recommendations
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## Citation [optional]
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autoevaluate/autoeval-staging-eval-project-0b0f26eb-7664950 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- lener_br
eval_info:
task: entity_extraction
model: Luciano/bertimbau-base-lener_br
metrics: []
dataset_name: lener_br
dataset_config: lener_br
dataset_split: test
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: Luciano/bertimbau-base-lener_br
* Dataset: lener_br
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model. |
joey234/mmlu-high_school_biology-neg | ---
dataset_info:
features:
- name: choices
sequence: string
- name: answer
dtype:
class_label:
names:
'0': A
'1': B
'2': C
'3': D
- name: question
dtype: string
splits:
- name: test
num_bytes: 99767
num_examples: 310
download_size: 57653
dataset_size: 99767
---
# Dataset Card for "mmlu-high_school_biology-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
joey234/mmlu-high_school_statistics-original-neg-prepend | ---
dataset_info:
features:
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype:
class_label:
names:
'0': A
'1': B
'2': C
'3': D
- name: neg_prompt
dtype: string
splits:
- name: test
num_bytes: 50072
num_examples: 49
download_size: 32842
dataset_size: 50072
---
# Dataset Card for "mmlu-high_school_statistics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
mHossain/merge_new_para_detection_data_v3 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: 'Unnamed: 0'
dtype: int64
- name: text
dtype: string
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dtype: int64
splits:
- name: train
num_bytes: 18268704.9
num_examples: 108000
- name: test
num_bytes: 2029856.1
num_examples: 12000
download_size: 9189332
dataset_size: 20298561.0
---
# Dataset Card for "merge_new_para_detection_data_v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
bigpang/muti-language-tatoeba_with_comment | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
dtype: string
splits:
- name: train
num_bytes: 57747479
num_examples: 420497
- name: test
num_bytes: 7240347
num_examples: 52564
- name: valid
num_bytes: 7255185
num_examples: 52589
download_size: 42083139
dataset_size: 72243011
---
# Dataset Card for "muti-language-tatoeba_with_comment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
anan-2024/twitter_dataset_1713147604 | ---
dataset_info:
features:
- name: id
dtype: string
- name: tweet_content
dtype: string
- name: user_name
dtype: string
- name: user_id
dtype: string
- name: created_at
dtype: string
- name: url
dtype: string
- name: favourite_count
dtype: int64
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dtype: string
- name: image_urls
dtype: string
splits:
- name: train
num_bytes: 20899
num_examples: 47
download_size: 12592
dataset_size: 20899
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
gopalamga/sample | ---
license: apache-2.0
---
|
blablablanco/test_Cat | ---
tags:
- cat
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': black
'1': mix
'2': orange
'3': white
splits:
- name: train
num_bytes: 82034.0
num_examples: 12
download_size: 83228
dataset_size: 82034.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
charly/test | ---
license: apache-2.0
---
|
RikoteMaster/Emotion_Recognition_4_llama2_chat_oversampled | ---
dataset_info:
features:
- name: Text_processed
dtype: string
- name: Emotion
dtype: string
- name: Augmented
dtype: bool
- name: text
dtype: string
splits:
- name: train
num_bytes: 39065708
num_examples: 82848
download_size: 12633611
dataset_size: 39065708
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "Emotion_Recognition_4_llama2_chat_oversampled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
clarin-knext/msmarco-pl-qrels | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl |
open-llm-leaderboard/details_aisquared__dlite-v1-1_5b | ---
pretty_name: Evaluation run of aisquared/dlite-v1-1_5b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [aisquared/dlite-v1-1_5b](https://huggingface.co/aisquared/dlite-v1-1_5b) on the\
\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe 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.\n\
\nAn 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)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_aisquared__dlite-v1-1_5b\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-09-23T17:48:40.273494](https://huggingface.co/datasets/open-llm-leaderboard/details_aisquared__dlite-v1-1_5b/blob/main/results_2023-09-23T17-48-40.273494.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):\n\n```python\n{\n \"all\": {\n \"em\": 0.005977348993288591,\n\
\ \"em_stderr\": 0.0007893908687131983,\n \"f1\": 0.06289953859060417,\n\
\ \"f1_stderr\": 0.0015069024652225058,\n \"acc\": 0.28017386590137583,\n\
\ \"acc_stderr\": 0.00735524021281907\n },\n \"harness|drop|3\": {\n\
\ \"em\": 0.005977348993288591,\n \"em_stderr\": 0.0007893908687131983,\n\
\ \"f1\": 0.06289953859060417,\n \"f1_stderr\": 0.0015069024652225058\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.000758150113722517,\n \
\ \"acc_stderr\": 0.0007581501137225347\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5595895816890292,\n \"acc_stderr\": 0.013952330311915607\n\
\ }\n}\n```"
repo_url: https://huggingface.co/aisquared/dlite-v1-1_5b
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|arc:challenge|25_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_drop_3
data_files:
- split: 2023_09_23T17_48_40.273494
path:
- '**/details_harness|drop|3_2023-09-23T17-48-40.273494.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-09-23T17-48-40.273494.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_09_23T17_48_40.273494
path:
- '**/details_harness|gsm8k|5_2023-09-23T17-48-40.273494.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-09-23T17-48-40.273494.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hellaswag|10_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:22:45.415057.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-management|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- '**/details_harness|truthfulqa:mc|0_2023-07-19T15:22:45.415057.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-07-19T15:22:45.415057.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_09_23T17_48_40.273494
path:
- '**/details_harness|winogrande|5_2023-09-23T17-48-40.273494.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-09-23T17-48-40.273494.parquet'
- config_name: results
data_files:
- split: 2023_07_19T15_22_45.415057
path:
- results_2023-07-19T15:22:45.415057.parquet
- split: 2023_09_23T17_48_40.273494
path:
- results_2023-09-23T17-48-40.273494.parquet
- split: latest
path:
- results_2023-09-23T17-48-40.273494.parquet
---
# Dataset Card for Evaluation run of aisquared/dlite-v1-1_5b
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/aisquared/dlite-v1-1_5b
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** clementine@hf.co
### Dataset Summary
Dataset automatically created during the evaluation run of model [aisquared/dlite-v1-1_5b](https://huggingface.co/aisquared/dlite-v1-1_5b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
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.
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)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_aisquared__dlite-v1-1_5b",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-09-23T17:48:40.273494](https://huggingface.co/datasets/open-llm-leaderboard/details_aisquared__dlite-v1-1_5b/blob/main/results_2023-09-23T17-48-40.273494.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):
```python
{
"all": {
"em": 0.005977348993288591,
"em_stderr": 0.0007893908687131983,
"f1": 0.06289953859060417,
"f1_stderr": 0.0015069024652225058,
"acc": 0.28017386590137583,
"acc_stderr": 0.00735524021281907
},
"harness|drop|3": {
"em": 0.005977348993288591,
"em_stderr": 0.0007893908687131983,
"f1": 0.06289953859060417,
"f1_stderr": 0.0015069024652225058
},
"harness|gsm8k|5": {
"acc": 0.000758150113722517,
"acc_stderr": 0.0007581501137225347
},
"harness|winogrande|5": {
"acc": 0.5595895816890292,
"acc_stderr": 0.013952330311915607
}
}
```
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed] |
AdapterOcean/physics_dataset_standardized_std | ---
dataset_info:
features:
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dtype: string
- name: message_type
dtype: string
- name: message_id
dtype: int64
- name: conversation_id
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splits:
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num_bytes: 50580506
num_examples: 40000
download_size: 22905844
dataset_size: 50580506
configs:
- config_name: default
data_files:
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path: data/train-*
---
|
CJWeiss/ukabs_id_rename | ---
dataset_info:
features:
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dtype: string
- name: output
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dtype: int64
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num_examples: 79
download_size: 33052341
dataset_size: 71413107
---
# Dataset Card for "ukabs_id_rename"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
d42me/opinions_qa_finetuning | ---
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configs:
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data_files:
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path: data/train-*
---
|
presencesw/dataset_2000_complexquestion_2 | ---
dataset_info:
features:
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sequence: 'null'
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sequence: 'null'
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download_size: 0
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configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "dataset_2000_complexquestion_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
worden1/ultra-feedback-paired | ---
task_categories:
- question-answering
- text-generation
language:
- en
pretty_name: ultra_feedback_paired
size_categories:
- 10M<n<100M
--- |
roettger/eighteenth_century_french_novels | ---
license: cc-by-4.0
task_categories:
- text-generation
language:
- fr
pretty_name: Collection of Eighteenth-Century French Novels (1751-1800)
size_categories:
- 10M<n<100M
---
# General information
This dataset contains 12 Mio Token of Literary French prose 1751-1800 in plain text format, built within the project 'Mining and Modeling Text' (2019-2023) at Trier University.
For the dataset in XML/TEI see the [GitHub repository of the project](https://github.com/MiMoText/roman18/blob/master/README.md).
# Collection de romans français du dix-huitième siècle (1751-1800) / Collection of Eighteenth-Century French Novels (1751-1800)
This collection of Eighteenth-Century French Novels contains 200 digital French texts of novels created or first published between 1751 and 1800. The collection is created in the context of [Mining and Modeling Text](https://www.mimotext.uni-trier.de/en) (2019-2023), a project which is located at the Trier Center for Digital Humanities ([TCDH](https://tcdh.uni-trier.de/en)) at Trier University.
## Metadata
There is a metadata file on the level of the full texts. The column names are explained in the next paragraph.
# Data Fields
* filename: file name
* au-name: author name
* au-birth: birth date of author
* au-death: death date of author
* title: title of literary work
* au-gender: gender of author
* firsted-yr: first year of publication
* printSource-yr: year of publication of print source
* form: narrative form
* spelling: information in historical spelling
* data-capture: information on data capture
* token count: token count of text file
* vols_count: count of volumes ('tome')
* size: size according to Eltec scheme https://distantreading.github.io/Schema/eltec-1.html#TEI.size
* bgrf: unique identifier in 'Bibliographie du genre romanesque français, 1751-1800 (Martin / Mylne / Frautschi 1977)'
* author_wikidata: unique identifier of author on Wikidata
* author_MiMoText-ID: unique identifier of author on MiMoText: https://data.mimotext.uni-trier.de
* title_wikidata: unique identifier of title on Wikidata
* title_MiMoText-ID: unique identifier of title on MiMoText: https://data.mimotext.uni-trier.de
* lang: language of text file
* publisher: information on publisher
* distributor: information on distributor of file
* distribution_date: information on distribuation date
* copyright_status: information on copyrights status of text file
* digitalSource_Title: title of digital text source
* digitalSource_Ref: reference of digital source
* digitalSource_Publisher: publisher of digital source
* digitalSource_Date: date of digital source
* printSource_title: title of print source
* printSource_author: author according to print source
* printSource_pubPlace: place of publication according to print source
* printSource_publisher: publisher of print source
* printSource_date: date of publication of print source
* resp_datacapture: person responsible for data capture
* resp_encoding: person responsible for encoding |
universal_dependencies | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- af
- aii
- ajp
- akk
- am
- apu
- aqz
- ar
- be
- bg
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- bxr
- ca
- ckt
- cop
- cs
- cu
- cy
- da
- de
- el
- en
- es
- et
- eu
- fa
- fi
- fo
- fr
- fro
- ga
- gd
- gl
- got
- grc
- gsw
- gun
- gv
- he
- hi
- hr
- hsb
- hu
- hy
- id
- is
- it
- ja
- kfm
- kk
- kmr
- ko
- koi
- kpv
- krl
- la
- lt
- lv
- lzh
- mdf
- mr
- mt
- myu
- myv
- nl
- 'no'
- nyq
- olo
- orv
- otk
- pcm
- pl
- pt
- ro
- ru
- sa
- sk
- sl
- sme
- sms
- soj
- sq
- sr
- sv
- swl
- ta
- te
- th
- tl
- tpn
- tr
- ug
- uk
- ur
- vi
- wbp
- wo
- yo
- yue
- zh
license:
- unknown
multilinguality:
- multilingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- parsing
paperswithcode_id: universal-dependencies
pretty_name: Universal Dependencies Treebank
tags:
- constituency-parsing
- dependency-parsing
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- yo_ytb
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- zh_hk
- zh_pud
---
# Dataset Card for Universal Dependencies Treebank
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [Universal Dependencies](https://universaldependencies.org/)
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@jplu](https://github.com/jplu) for adding this dataset. |
ImagenHub/Multi_Subject_Driven_Image_Generation | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: concept1
dtype: string
- name: concept2
dtype: string
- name: uid
dtype: int64
splits:
- name: train
num_bytes: 7408
num_examples: 102
download_size: 4243
dataset_size: 7408
---
# Dataset Card
Dataset in [ImagenHub](arxiv.org/abs/2310.01596).
# Citation
Please kindly cite our paper if you use our code, data, models or results:
```
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
``` |
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