metadata
pretty_name: Evaluation run of heegyu/WizardVicuna-Uncensored-3B-0719
dataset_summary: "Dataset automatically created during the evaluation run of model [heegyu/WizardVicuna-Uncensored-3B-0719](https://huggingface.co/heegyu/WizardVicuna-Uncensored-3B-0719) 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\nfrom datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_heegyu__WizardVicuna-Uncensored-3B-0719\",\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese are the [latest results from run 2023-10-19T03:10:00.849734](https://huggingface.co/datasets/open-llm-leaderboard/details_heegyu__WizardVicuna-Uncensored-3B-0719/blob/main/results_2023-10-19T03-10-00.849734.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\": 0.0032508389261744967,\n \"em_stderr\": 0.0005829486708558908,\n \"f1\": 0.05307046979865784,\n \"f1_stderr\": 0.0013744215109358906,\n \"acc\": 0.32454958283792285,\n \"acc_stderr\": 0.008214760837520624\n },\n \"harness|drop|3\": {\n \"em\": 0.0032508389261744967,\n \"em_stderr\": 0.0005829486708558908,\n \"f1\": 0.05307046979865784,\n \"f1_stderr\": 0.0013744215109358906\n },\n \"harness|gsm8k|5\": {\n \"acc\": 0.011372251705837756,\n \"acc_stderr\": 0.002920666198788741\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.6377269139700079,\n \"acc_stderr\": 0.013508855476252508\n }\n}\n```"
repo_url: https://huggingface.co/heegyu/WizardVicuna-Uncensored-3B-0719
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_24T10_29_51.933578
path:
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**/details_harness|arc:challenge|25_2023-07-24T10:29:51.933578.parquet
- split: latest
path:
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**/details_harness|arc:challenge|25_2023-07-24T10:29:51.933578.parquet
- config_name: harness_drop_3
data_files:
- split: 2023_10_19T03_10_00.849734
path:
- '**/details_harness|drop|3_2023-10-19T03-10-00.849734.parquet'
- split: latest
path:
- '**/details_harness|drop|3_2023-10-19T03-10-00.849734.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_10_19T03_10_00.849734
path:
- '**/details_harness|gsm8k|5_2023-10-19T03-10-00.849734.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-10-19T03-10-00.849734.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_07_24T10_29_51.933578
path:
- '**/details_harness|hellaswag|10_2023-07-24T10:29:51.933578.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-07-24T10:29:51.933578.parquet'
- config_name: harness_hendrycksTest_5
data_files:
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path:
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- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
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path:
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**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-24T10:29:51.933578.parquet
- split: latest
path:
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**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_07_24T10_29_51.933578
path:
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**/details_harness|hendrycksTest-anatomy|5_2023-07-24T10:29:51.933578.parquet
- split: latest
path:
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**/details_harness|hendrycksTest-anatomy|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_07_24T10_29_51.933578
path:
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**/details_harness|hendrycksTest-astronomy|5_2023-07-24T10:29:51.933578.parquet
- split: latest
path:
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**/details_harness|hendrycksTest-astronomy|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_07_24T10_29_51.933578
path:
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**/details_harness|hendrycksTest-business_ethics|5_2023-07-24T10:29:51.933578.parquet
- split: latest
path:
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**/details_harness|hendrycksTest-business_ethics|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_07_24T10_29_51.933578
path:
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**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-24T10:29:51.933578.parquet
- split: latest
path:
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**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_college_biology_5
data_files:
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path:
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**/details_harness|hendrycksTest-college_biology|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
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path:
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- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
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**/details_harness|hendrycksTest-college_computer_science|5_2023-07-24T10:29:51.933578.parquet
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
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- config_name: harness_hendrycksTest_college_medicine_5
data_files:
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path:
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- config_name: harness_hendrycksTest_college_physics_5
data_files:
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- config_name: harness_hendrycksTest_computer_security_5
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- config_name: harness_hendrycksTest_conceptual_physics_5
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- config_name: harness_hendrycksTest_electrical_engineering_5
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- config_name: harness_hendrycksTest_elementary_mathematics_5
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- config_name: harness_hendrycksTest_high_school_biology_5
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- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
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- config_name: harness_hendrycksTest_high_school_computer_science_5
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- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
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- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
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- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
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- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
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- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
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- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
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- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
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- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
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- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
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- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
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- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
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- config_name: harness_hendrycksTest_human_aging_5
data_files:
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- config_name: harness_hendrycksTest_human_sexuality_5
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- config_name: harness_hendrycksTest_international_law_5
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- config_name: harness_hendrycksTest_jurisprudence_5
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- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
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- config_name: harness_hendrycksTest_machine_learning_5
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- config_name: harness_hendrycksTest_management_5
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- config_name: harness_hendrycksTest_marketing_5
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- config_name: harness_hendrycksTest_medical_genetics_5
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- config_name: harness_hendrycksTest_miscellaneous_5
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- config_name: harness_hendrycksTest_moral_disputes_5
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- config_name: harness_hendrycksTest_moral_scenarios_5
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- config_name: harness_hendrycksTest_nutrition_5
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- config_name: harness_hendrycksTest_philosophy_5
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- config_name: harness_hendrycksTest_prehistory_5
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- config_name: harness_hendrycksTest_professional_accounting_5
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- config_name: harness_hendrycksTest_professional_law_5
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- config_name: harness_hendrycksTest_professional_medicine_5
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- config_name: harness_hendrycksTest_professional_psychology_5
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- config_name: harness_hendrycksTest_public_relations_5
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- config_name: harness_hendrycksTest_sociology_5
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- config_name: harness_hendrycksTest_us_foreign_policy_5
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- config_name: harness_hendrycksTest_virology_5
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- config_name: harness_hendrycksTest_world_religions_5
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- config_name: harness_truthfulqa_mc_0
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- config_name: harness_winogrande_5
data_files:
- split: 2023_10_19T03_10_00.849734
path:
- '**/details_harness|winogrande|5_2023-10-19T03-10-00.849734.parquet'
- split: latest
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- '**/details_harness|winogrande|5_2023-10-19T03-10-00.849734.parquet'
- config_name: results
data_files:
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- results_2023-07-24T10:29:51.933578.parquet
- split: 2023_10_19T03_10_00.849734
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- results_2023-10-19T03-10-00.849734.parquet
- split: latest
path:
- results_2023-10-19T03-10-00.849734.parquet
Dataset Card for Evaluation run of heegyu/WizardVicuna-Uncensored-3B-0719
Dataset Description
- Homepage:
- Repository: https://huggingface.co/heegyu/WizardVicuna-Uncensored-3B-0719
- 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 heegyu/WizardVicuna-Uncensored-3B-0719 on the 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).
To load the details from a run, you can for instance do the following:
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_heegyu__WizardVicuna-Uncensored-3B-0719",
"harness_winogrande_5",
split="train")
Latest results
These are the latest results from run 2023-10-19T03:10:00.849734(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):
{
"all": {
"em": 0.0032508389261744967,
"em_stderr": 0.0005829486708558908,
"f1": 0.05307046979865784,
"f1_stderr": 0.0013744215109358906,
"acc": 0.32454958283792285,
"acc_stderr": 0.008214760837520624
},
"harness|drop|3": {
"em": 0.0032508389261744967,
"em_stderr": 0.0005829486708558908,
"f1": 0.05307046979865784,
"f1_stderr": 0.0013744215109358906
},
"harness|gsm8k|5": {
"acc": 0.011372251705837756,
"acc_stderr": 0.002920666198788741
},
"harness|winogrande|5": {
"acc": 0.6377269139700079,
"acc_stderr": 0.013508855476252508
}
}
Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
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