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Cursedcelestial/chatgpt-paraphrase.json | Cursedcelestial | 2023-12-06T03:03:24Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T03:03:24Z | ---
license: mit
---
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|
deivsu/JINNYOUTRO | deivsu | 2023-12-06T03:19:13Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T03:19:02Z | ---
license: openrail
---
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|
synckers/bgc | synckers | 2023-12-06T03:35:47Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T03:35:22Z | ---
license: openrail
---
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|
infinex/LaMini-en-id | infinex | 2023-12-06T09:34:48Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T04:01:21Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: response
dtype: string
- name: instruction_source
dtype: string
- name: context_id
dtype: string
- name: instruction_id
dtype: string
- name: response_id
dtype: string
- name: instruction_with_response
dtype: string
- name: instruction_id_with_response
dtype: string
- name: instruction_en
dtype: string
- name: response_en
dtype: string
splits:
- name: train
num_bytes: 4995310804
num_examples: 2585615
download_size: 2970381112
dataset_size: 4995310804
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
jason0573/move_model | jason0573 | 2023-12-06T04:02:09Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-06T04:02:08Z | ---
license: apache-2.0
---
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|
deivsu/JINNYMODEL | deivsu | 2023-12-06T04:26:45Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T04:25:05Z | ---
license: openrail
---
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|
euswam/swam | euswam | 2023-12-06T04:49:28Z | 0 | 0 | [
"license:artistic-2.0",
"region:us"
]
| null | 2023-12-06T04:39:57Z | ---
license: artistic-2.0
---
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|
AshtonIsNotHere/biosift-nli | AshtonIsNotHere | 2023-12-06T05:40:55Z | 0 | 2 | [
"region:us"
]
| null | 2023-12-06T05:25:40Z | ---
dataset_info:
features:
- name: PMID
dtype: int64
- name: Title
dtype: string
- name: Abstract
dtype: string
- name: Hypothesis
dtype: string
- name: Entailment
dtype: float64
- name: Positive
dtype: bool
- name: Label_idx
dtype: int64
splits:
- name: train
num_bytes: 204165086
num_examples: 112070
- name: validation
num_bytes: 25747188
num_examples: 13958
- name: test
num_bytes: 25719177
num_examples: 13972
download_size: 11692785
dataset_size: 255631451
---
# Dataset Card for "biosift-nli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
tyzhu/ds_combined_200_try_lora_merge | tyzhu | 2023-12-06T05:30:27Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T05:28:32Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 20884.95238095238
num_examples: 200
- name: validation
num_bytes: 20884.95238095238
num_examples: 200
download_size: 26996
dataset_size: 41769.90476190476
---
# Dataset Card for "ds_combined_200_try_lora_merge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Solshine/Olympia_WA_USA_Weather_2020s | Solshine | 2023-12-06T05:44:11Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T05:44:05Z | ---
license: mit
---
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|
Solshine/Olympia_WA_USA_Weather_1 | Solshine | 2023-12-06T05:46:42Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T05:46:36Z | ---
license: mit
---
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|
Vinotha/UA_Speech_all_severity | Vinotha | 2023-12-06T05:51:07Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T05:51:06Z | ---
license: mit
---
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|
headsink/rusaini_dataset_1024 | headsink | 2023-12-06T06:14:15Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T05:54:08Z | ---
license: mit
---
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|
khad55/wheat_heads | khad55 | 2023-12-06T09:21:01Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T06:00:32Z | ---
license: mit
---
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|
svjack/CatCup_DS | svjack | 2023-12-06T06:51:13Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T06:45:18Z | ---
dataset_info:
features:
- name: category
dtype: int64
- name: pick-score
dtype: float64
- name: image
dtype: image
splits:
- name: train
num_bytes: 6668832072.0
num_examples: 24000
download_size: 6610915290
dataset_size: 6668832072.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Coooori/dialog_data_test_huggingface | Coooori | 2023-12-06T06:48:14Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T06:47:41Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 205479
num_examples: 98
download_size: 106439
dataset_size: 205479
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "dialog_data_test_huggingface"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
sriramahesh2000/law-summary | sriramahesh2000 | 2023-12-06T06:49:10Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-06T06:49:08Z | ---
license: apache-2.0
---
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|
svjack/cmmlu | svjack | 2023-12-06T07:00:39Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T06:59:00Z | ---
dataset_info:
features:
- name: id
dtype: int32
- name: question
dtype: string
- name: A
dtype: string
- name: B
dtype: string
- name: C
dtype: string
- name: D
dtype: string
- name: answer
dtype: string
- name: task
dtype: string
splits:
- name: train
num_bytes: 2874175
num_examples: 11582
download_size: 1856689
dataset_size: 2874175
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "cmmlu"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
gymprathap/Brain-MRI-LGG-Segmentation | gymprathap | 2023-12-06T07:18:01Z | 0 | 0 | [
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"medical",
"region:us"
]
| null | 2023-12-06T07:09:39Z | ---
license: cc-by-4.0
language:
- en
tags:
- medical
size_categories:
- 1K<n<10K
---
Brain MR images and FLAIR abnormality segmentation masks created by hand are part of this dataset.
These pictures came from TCIA, or The Cancer Imaging Archive.
Their genetic cluster data and fluid-attenuated inversion recovery (FLAIR) sequences are from 110 patients with lower-grade glioma who are part of the Cancer Genome Atlas (TCGA) collection.
You can find patient information and genomic clusters of tumours in the data.csv file.
<a href="http://projectcentersinchennai.co.in/Final-Year-Projects-for-CSE/Final-Year-Projects-for-CSE-Deep-learning-Domain" title="Deep Learning Projects for Final Year">Deep Learning Projects for Final Year</a>
FYI: It is not my dataset. I got it from kaggle. | [
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|
legwyn/temp_ds_aha | legwyn | 2023-12-06T16:29:57Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-06T07:34:04Z | ---
license: mit
---
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|
DynamicSuperb/PhonemeSegmentCounting_TIMIT-Test | DynamicSuperb | 2023-12-06T10:16:05Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T08:11:47Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: label
dtype: int64
- name: instruction
dtype: string
splits:
- name: test
num_bytes: 87558789.0
num_examples: 840
download_size: 82844621
dataset_size: 87558789.0
---
# PhonemeSegmentCounting
The phoneme set follows TIMIT's phoneme set. Slence, pause and special phoneme are removed, including `pau`, `epi`, `h#`, `1`, and `2`.
### Licensing Information
[LDC User Agreement for Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf)
### Citation Information
```
@inproceedings{
title={TIMIT Acoustic-Phonetic Continuous Speech Corpus},
author={Garofolo, John S., et al},
ldc_catalog_no={LDC93S1},
DOI={https://doi.org/10.35111/17gk-bn40},
journal={Linguistic Data Consortium, Philadelphia},
year={1983}
}
``` | [
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|
blanchon/FireRisk | blanchon | 2023-12-06T11:44:29Z | 0 | 2 | [
"task_categories:image-classification",
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"aerial-imagery",
"land-cover-classification",
"arxiv:2303.07035",
"region:us"
]
| [
"image-classification"
]
| 2023-12-06T09:04:11Z | ---
language: en
license: unknown
task_categories:
- image-classification
paperswithcode_id: firerisk
pretty_name: FireRisk
tags:
- remote-sensing
- earth-observation
- geospatial
- aerial-imagery
- land-cover-classification
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': high
'1': low
'2': moderate
'3': non-burnable
'4': very_high
'5': very_low
'6': water
splits:
- name: train
num_bytes: 11575141474.625
num_examples: 70331
download_size: 11575727336
dataset_size: 11575141474.625
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# FireRisk
<!-- Dataset thumbnail -->
<!-- Provide a quick summary of the dataset. -->
The FireRisk dataset is a dataset for remote sensing fire risk classification.
- **Paper:** https://arxiv.org/abs/2303.07035
- **Homepage:** https://github.com/CharmonyShen/FireRisk
## Description
<!-- Provide a longer summary of what this dataset is. -->
- **Total Number of Images**: 91872
- **Bands**: 3 (RGB)
- **Image Size**: 320x320
- **101,878 tree annotations**
- **Image Resolution**: 1m
- **Land Cover Classes**: 7
- **Classes**: high, low, moderate, non-burnable, very_high, very_low, water
- **Source**: NAIP Aerial
## Usage
To use this dataset, simply use `datasets.load_dataset("blanchon/FireRisk")`.
<!-- Provide any additional information on how to use this dataset. -->
```python
from datasets import load_dataset
FireRisk = load_dataset("blanchon/FireRisk")
```
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you use the EuroSAT dataset in your research, please consider citing the following publication:
```bibtex
@article{shen2023firerisk,
title = {FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning},
author = {Shuchang Shen and Sachith Seneviratne and Xinye Wanyan and Michael Kirley},
year = {2023},
journal = {arXiv preprint arXiv: 2303.07035}
}
```
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|
EgoThink/EgoThink | EgoThink | 2023-12-06T10:41:05Z | 0 | 2 | [
"task_categories:visual-question-answering",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"First-person",
"VLMs",
"Egocentric",
"arxiv:2311.15596",
"region:us"
]
| [
"visual-question-answering"
]
| 2023-12-06T09:55:36Z | ---
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configs:
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path: Activity/test-*
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path: Forecasting/test-*
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path: Localization_location/test-*
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path: Object_attribute/test-*
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data_files:
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path: Reasoning_counting/test-*
- config_name: Reasoning_situated
data_files:
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path: Reasoning_situated/test-*
license: apache-2.0
task_categories:
- visual-question-answering
language:
- en
tags:
- First-person
- VLMs
- Egocentric
size_categories:
- n<1K
---
# EgoThink (Can Vision-Language Models Think from a First-Person Perspective?)
[**🌐 Homepage**](https://adacheng.github.io/EgoThink/) | [**🤗 Dataset**](https://huggingface.co/datasets/EgoThink/EgoThink) | [**🤗 Paper**](https://huggingface.co/papers/2311.15596) | [**📖 arXiv**](https://arxiv.org/abs/2311.15596) | [**GitHub**](https://github.com/AdaCheng/EgoThink)
## Contact
- Sijie Cheng: [email protected]
## Citation
```bibtex
@article{cheng2023can,
title={Can Vision-Language Models Think from a First-Person Perspective?},
author={Cheng, Sijie and Guo, Zhicheng and Wu, Jingwen and Fang, Kechen and Li, Peng and Liu, Huaping and Liu, Yang},
journal={arXiv preprint arXiv:2311.15596},
year={2023}
}
``` | [
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|
nikhtu/fuego-20231206-110024-5baa48 | nikhtu | 2023-12-06T12:31:33Z | 0 | 0 | [
"fuego",
"region:us"
]
| null | 2023-12-06T10:00:25Z | ---
tags:
- fuego
fuego:
id: 20231206-110024-5baa48
status: done
script: run_glue.py
requirements_file: requirements.txt
space_id: nikhtu/fuego-20231206-110024-5baa48
space_hardware: cpu-basic
github_repo_id: huggingface/transformers
github_repo_branch: main
github_repo_sha: d6392482bd8af0d28903b5531ed04bd7273931a3
---
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|
blanchon/ChaBuD | blanchon | 2023-12-06T10:46:35Z | 0 | 0 | [
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"change-detection",
"sentinel-2",
"region:us"
]
| [
"change-detection"
]
| 2023-12-06T10:30:49Z | ---
language: en
license: unknown
task_categories:
- change-detection
pretty_name: ChaBuD
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- change-detection
- sentinel-2
dataset_info:
features:
- name: image1
dtype: image
- name: image2
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 577995423.0
num_examples: 278
- name: validation
num_bytes: 158102432.0
num_examples: 78
download_size: 380547073
dataset_size: 736097855.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# ChaBuD
<!-- Dataset thumbnail -->
<!-- Provide a quick summary of the dataset. -->
ChaBuD is a dataset for Change detection for Burned area Delineation and is used for the ChaBuD ECML-PKDD 2023 Discovery Challenge. This is the RGB version with 3 bands.
- **Paper:** https://doi.org/10.1016/j.rse.2021.112603
- **Homepage:** https://huggingface.co/spaces/competitions/ChaBuD-ECML-PKDD2023
## Description
<!-- Provide a longer summary of what this dataset is. -->
- **Total Number of Images**: 356
- **Bands**: 3 (RGB)
- **Image Size**: 512x512
- **Image Resolution**: 10m
- **Land Cover Classes**: 2
- **Classes**: no change, burned area
- **Source**: Sentinel-2
## Usage
To use this dataset, simply use `datasets.load_dataset("blanchon/ChaBuD")`.
<!-- Provide any additional information on how to use this dataset. -->
```python
from datasets import load_dataset
ChaBuD = load_dataset("blanchon/ChaBuD")
```
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you use the ChaBuD dataset in your research, please consider citing the following publication:
```bibtex
@article{TURKOGLU2021112603,
title = {Crop mapping from image time series: Deep learning with multi-scale label hierarchies},
journal = {Remote Sensing of Environment},
volume = {264},
pages = {112603},
year = {2021},
issn = {0034-4257},
doi = {https://doi.org/10.1016/j.rse.2021.112603},
url = {https://www.sciencedirect.com/science/article/pii/S0034425721003230},
author = {Mehmet Ozgur Turkoglu and Stefano D'Aronco and Gregor Perich and Frank Liebisch and Constantin Streit and Konrad Schindler and Jan Dirk Wegner},
keywords = {Deep learning, Recurrent neural network (RNN), Convolutional RNN, Hierarchical classification, Multi-stage, Crop classification, Multi-temporal, Time series},
}
```
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|
blanchon/ChaBuD_MSI | blanchon | 2023-12-06T11:00:16Z | 0 | 0 | [
"language:en",
"license:unknown",
"remote-sensing",
"earth-observation",
"geospatial",
"satellite-imagery",
"change-detection",
"sentinel-2",
"region:us"
]
| [
"change-detection"
]
| 2023-12-06T10:36:32Z | ---
language: en
license: unknown
task_categories:
- change-detection
pretty_name: ChaBuD MSI
tags:
- remote-sensing
- earth-observation
- geospatial
- satellite-imagery
- change-detection
- sentinel-2
dataset_info:
features:
- name: image1
dtype:
array3_d:
dtype: uint8
shape:
- 512
- 512
- 13
- name: image2
dtype:
array3_d:
dtype: uint8
shape:
- 512
- 512
- 13
- name: mask
dtype: image
splits:
- name: train
num_bytes: 2624716428.0
num_examples: 278
- name: validation
num_bytes: 736431228.0
num_examples: 78
download_size: 2232652835
dataset_size: 3361147656.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# ChaBuD MSI
<!-- Dataset thumbnail -->
<!-- Provide a quick summary of the dataset. -->
ChaBuD is a dataset for Change detection for Burned area Delineation and is used for the ChaBuD ECML-PKDD 2023 Discovery Challenge. This is the MSI version with 13 bands.
- **Paper:** https://doi.org/10.1016/j.rse.2021.112603
- **Homepage:** https://huggingface.co/spaces/competitions/ChaBuD-ECML-PKDD2023
## Description
<!-- Provide a longer summary of what this dataset is. -->
- **Total Number of Images**: 356
- **Bands**: 13 (MSI)
- **Image Size**: 512x512
- **Image Resolution**: 10m
- **Land Cover Classes**: 2
- **Classes**: no change, burned area
- **Source**: Sentinel-2
## Usage
To use this dataset, simply use `datasets.load_dataset("blanchon/ChaBuD_MSI")`.
<!-- Provide any additional information on how to use this dataset. -->
```python
from datasets import load_dataset
ChaBuD_MSI = load_dataset("blanchon/ChaBuD_MSI")
```
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you use the ChaBuD_MSI dataset in your research, please consider citing the following publication:
```bibtex
@article{TURKOGLU2021112603,
title = {Crop mapping from image time series: Deep learning with multi-scale label hierarchies},
journal = {Remote Sensing of Environment},
volume = {264},
pages = {112603},
year = {2021},
issn = {0034-4257},
doi = {https://doi.org/10.1016/j.rse.2021.112603},
url = {https://www.sciencedirect.com/science/article/pii/S0034425721003230},
author = {Mehmet Ozgur Turkoglu and Stefano D'Aronco and Gregor Perich and Frank Liebisch and Constantin Streit and Konrad Schindler and Jan Dirk Wegner},
keywords = {Deep learning, Recurrent neural network (RNN), Convolutional RNN, Hierarchical classification, Multi-stage, Crop classification, Multi-temporal, Time series},
}
```
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|
Concyclics/RenMinDaily | Concyclics | 2023-12-06T15:00:29Z | 0 | 2 | [
"task_categories:text-generation",
"task_categories:summarization",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:zh",
"license:apache-2.0",
"medical",
"region:us"
]
| [
"text-generation",
"summarization",
"question-answering"
]
| 2023-12-06T10:38:16Z | ---
license: apache-2.0
task_categories:
- text-generation
- summarization
- question-answering
language:
- zh
tags:
- medical
size_categories:
- 10K<n<100K
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
It is the collection of RenMinDaily's report from 2021/01/01 to 2023/12/05. With title as instruction.
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|
Norod78/xmasize-blip-captions | Norod78 | 2023-12-06T20:45:14Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T11:18:39Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 70088772.0
num_examples: 274
download_size: 69978366
dataset_size: 70088772.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
invmodel/test4 | invmodel | 2023-12-06T11:42:54Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T11:42:47Z | ---
dataset_info:
features:
- name: ground_truth
struct:
- name: gt_parse
struct:
- name: invoice_number
dtype: string
- name: date_of_issue
dtype: string
- name: menu
list:
- name: item_number
dtype: string
- name: description
dtype: string
- name: qty
dtype: string
- name: um
dtype: string
- name: net_price
dtype: string
- name: net_worth
dtype: string
- name: vat_percent
dtype: string
- name: gross_worth
dtype: string
- name: sub_total
struct:
- name: summary_vat_percent
dtype: string
- name: summary_net_worth
dtype: string
- name: vat
dtype: string
- name: gross_worth
dtype: string
- name: total
struct:
- name: total_net_worth
dtype: string
- name: total_vat
dtype: string
- name: total_gross_worth
dtype: string
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: labels
sequence: int64
- name: target_sequence
dtype: string
splits:
- name: train
num_bytes: 83121264
num_examples: 10
download_size: 1544516
dataset_size: 83121264
---
# Dataset Card for "test4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
invmodel/test5 | invmodel | 2023-12-06T11:49:08Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T11:48:55Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
struct:
- name: gt_parse
struct:
- name: invoice_number
dtype: string
- name: date_of_issue
dtype: string
- name: menu
list:
- name: item_number
dtype: string
- name: description
dtype: string
- name: qty
dtype: string
- name: um
dtype: string
- name: net_price
dtype: string
- name: net_worth
dtype: string
- name: vat_percent
dtype: string
- name: gross_worth
dtype: string
- name: sub_total
struct:
- name: summary_vat_percent
dtype: string
- name: summary_net_worth
dtype: string
- name: vat
dtype: string
- name: gross_worth
dtype: string
- name: total
struct:
- name: total_net_worth
dtype: string
- name: total_vat
dtype: string
- name: total_gross_worth
dtype: string
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: labels
sequence: int64
- name: target_sequence
dtype: string
splits:
- name: train
num_bytes: 90629786.0
num_examples: 10
download_size: 8926675
dataset_size: 90629786.0
---
# Dataset Card for "test5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ltbAGIDude/Flashbot-repo | ltbAGIDude | 2023-12-06T18:58:25Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T12:09:54Z | ---
license: openrail
---
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|
hkust-nlp/agentboard | hkust-nlp | 2023-12-06T12:34:25Z | 0 | 0 | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-nc-sa-4.0",
"Embodied AI",
"Game",
"Web",
"Tool",
"region:us"
]
| [
"text-generation"
]
| 2023-12-06T12:14:36Z | ---
license: cc-by-nc-sa-4.0
configs:
- config_name: alfworld
data_files:
- split: test
path:
- data/alfworld/test.jsonl
- config_name: scienceworld
data_files:
- split: test
path:
- data/scienceworld/test.jsonl
- config_name: babyai
data_files:
- split: test
path:
- data/babyai/test.jsonl
- config_name: jericho
data_files:
- split: test
path:
- data/jericho/test.jsonl
- config_name: pddl
data_files:
- split: test
path:
- data/pddl/test.jsonl
- config_name: webarena
data_files:
- split: test
path:
- data/webarena/test.jsonl
- config_name: webshop
data_files:
- split: test
path:
- data/webshop/test.jsonl
- config_name: tool-query
data_files:
- split: test
path:
- data/tool-query/test.jsonl
- config_name: tool-operation
data_files:
- split: test
path:
- data/tool-operation/test.jsonl
language:
- en
tags:
- Embodied AI
- Game
- Web
- Tool
size_categories:
- 1K<n<10K
task_categories:
- text-generation
pretty_name: AgentBoard
---
[Logo of AgentBoard]()
# Dataset Card for AgentBoard
This is the official dataset repository of [AgentBoard]().
## 1. Data Overview
AgentBoard is composed of 9 diverse tasks which can be divided into 4 types, including **Embodied AI**, **Game**, **Web**, and **Tool**:
<table align="center">
<tbody>
<tr align="center" valign="bottom">
<td>
<b>Embodied AI</b>
</td>
<td>
<b>Game</b>
</td>
<td>
<b>Web</b>
</td>
<td>
<b>Tool</b>
</td>
</tr>
<tr valign="top">
<td>
- AlfWorld
- ScienceWorld
- BabyAI
</td>
<td>
- Jericho
- PDDL
</td>
<td>
- WebShop
- WebArena
</td>
<td>
- Tool-Query
- Tool-Operation
</td>
</tr>
</tbody>
</table>
And statistics of the evaluation data of 9 task are as follows:
| | AlfWorld | ScienceWorld | BabyAI | Jericho | PDDL | WebShop | WebArena | Tool-Query | Tool-Operation |
|-------|----------|--------------|--------|---------|------|---------|----------|------------|----------------|
| **Metric** | PR/SR | PR/SR | PR/SR | PR/SR | PR/SR | Matching | Matching | PR/SR | PR/SR/Matching |
| **\#Avg. Turn** | 6 | 15 | 10 | 20 | 20 | 3 | 25 | 5 | 6 |
| **\#Avg. Action Space** | 13 | 21 | 8 | 150 | 8 | 2 | 12 | 15 | 16 |
| **\#Avg. Context Length** | 900 | 2800 | 1800 | 1500 | 2700 | 1200 | 15000 | 2100 | 4300 |
| **\#Avg. Sub-goals** | 3 | 5 | 4 | 6 | 6 | 4 | 6 | 5 | 5 |
| **\#Environment** | 134 | 90 | 112 | 20 | 60 | 251 | 245 | 60 | 40 |
To help researchers quickly understand evaluation data of each task, we provide **Dataset Viewer** at Huggingface Dataset: [🤗 AgentBoard](https://huggingface.co/datasets/hkust-nlp/agentboard/).
> Note: Please download the dataset from the link provided below for the reason that the data in Dataset Viewer is not complete.
## 2. Download Link
You can download the whole evaluation data by running the following command:
```shell
wget https://huggingface.co/datasets/hkust-nlp/agentboard/resolve/main/data.tar.gz
```
Please uncommpress the file and move the data to `agent-board/data`.
```shell
cd agentboard
mkdir data
tar -zxvf data.tar.gz -C ./data
```
The file structure of evaluation data is as follows:
<details>
<summary>
Click to expand the file structure
</summary>
```
data
├── alfworld
│ ├── alfred.pddl # additional data for alfworld
│ ├── alfred.twl2 # additional data for alfworld
│ ├── json_2.1.1 # additional data for alfworld
│ └── test.jsonl
├── babyai
│ └── test.jsonl
├── jericho
│ ├── test.jsonl
│ └── z-machine-games-master # additional data for jericho
├── pddl
│ └── test.jsonl
├── scienceworld
│ └── test.jsonl
├── tool-operation
│ └── test.jsonl
├── tool-query
│ ├── academia # additional data for academia tool
│ └── test.jsonl
├── webarena
│ └── test.jsonl
└── webshop
└── test.jsonl
```
</details>
## 3. Data Fields
We take an instance from the `ScienceWorld` task as an example to illustrate the data fields of evaluation data.
```json
{
"task": "scienceworld",
"id": 0,
"goal": "Your task is to find the animal with the longest life span. The animals are in the 'outside' location. Focus on the animal with the longest life span.",
"subgoals": ["You move to the outside.", "You focus on the crocodile egg."],
"difficulty": "easy",
"additional_info": {"var": 5, "env_name": "lifespan-longest-lived"}
}
```
Details of the data fields are as follows:
| Field Name | Description |
|------------|-------------|
| `task` | The task name of the example, e.g. `alfworld`, `babyai`, `jericho`, `pddl`, `scienceworld`, `tool-operation`, `tool-query`, `webarena`, `webshop`. |
| `id` | The id of the example. |
| `goal` | The goal of the example. |
| `subgoals` | The subgoals of the example. |
| `difficulty` | The difficulty of the example, e.g. `easy`, `hard`. |
| `additional_info` | The additional information of the example, each example has its own additional information. |
## 4. Citation
```bibtex
``` | [
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|
Seongill/NQ_conflict_10_full | Seongill | 2023-12-06T12:14:57Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T12:14:53Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: substitute
dtype: string
- name: num_answer
dtype: int64
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: is_conflict
dtype: bool
- name: num_replace
dtype: int64
splits:
- name: train
num_bytes: 23977426
num_examples: 3610
download_size: 13865411
dataset_size: 23977426
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/NQ_conflict_10_half | Seongill | 2023-12-06T12:16:20Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T12:16:16Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: substitute
dtype: string
- name: num_answer
dtype: int64
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: is_conflict
dtype: bool
- name: num_replace
dtype: int64
splits:
- name: train
num_bytes: 23977166
num_examples: 3610
download_size: 13861525
dataset_size: 23977166
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/NQ_conflict_5_half | Seongill | 2023-12-06T12:22:09Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T12:22:04Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: substitute
dtype: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: is_conflict
dtype: bool
- name: num_replace
dtype: int64
- name: num_answer
dtype: int64
splits:
- name: train
num_bytes: 12189834
num_examples: 3610
download_size: 7217475
dataset_size: 12189834
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
aje220/4chan-Paranormal-Conversations | aje220 | 2023-12-06T17:34:34Z | 0 | 0 | [
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"not-for-all-audiences",
"region:us"
]
| [
"conversational"
]
| 2023-12-06T12:29:37Z | ---
language:
- en
license: mit
size_categories:
- 10K<n<100K
task_categories:
- conversational
dataset_info:
features:
- name: id
dtype: int64
- name: messages
dtype: string
- name: keywords
dtype: string
splits:
- name: train
num_bytes: 79325863
num_examples: 87746
download_size: 39103845
dataset_size: 79325863
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- not-for-all-audiences
---
# 4chan-Paranormal-Conversations
Dialogs taken from 4chan's "/x/" Paranormal image board. The conversations in this dataset occured between 2021 and 2022.
As the name suggests these diaglogs are largely related to esoterica and the metaphysical. In online forums, conversations can distantly diverge from the original topic; as a true respresentation of this specific online community the dataset includes these diverging dialogs.
### Warning:
The content of the dialogs can cause offence.
## Columns:
#### messages
* Dialogs from the forum, back and forth conversations constructed via direct replies.
#### keywords
* Keyword analysis of the thread from which the dialog was taken. Providing more context to the discussion.
* The number of keywords is related to the length of the thread from which the dialog was taken.
| Number of Posts | Number of Keywords |
|--------------|-----------------|
| n < 10 | 5 |
| 10 <= n < 20 | 10 |
| 20 <= n < 50 | 15 |
| 50 <= n | 20 | | [
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|
ISTNetworks/arabic_alpaca-cleaned | ISTNetworks | 2023-12-06T12:58:08Z | 0 | 0 | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:ar",
"license:apache-2.0",
"region:us"
]
| [
"question-answering"
]
| 2023-12-06T12:47:44Z | ---
license: apache-2.0
task_categories:
- question-answering
language:
- ar
pretty_name: arabic_alpaca-cleaned
size_categories:
- 10K<n<100K
---
---
license: apache-2.0
language:
- ar
tags:
- instruction-finetuning
pretty_name: arabic_alpaca-cleaned
task_categories:
- text-generation
---
# Dataset Card for Alpaca-Cleaned
- **Repository:** https://github.com/gururise/AlpacaDataCleaned
## Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
1. **Hallucinations:** Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer.
```
"instruction":"Summarize the given article in 200 Words.",
"input": "https://www.bbc.com/news/world-51461830",
"output": "The recent protests in Belarus are part of a growing wave of discontent against the rule of Alexander Lukashenko, who has led the country since 1994. Demonstrations against his government have been ongoing since August, and come in the wake of an election widely seen as rigged. As police and security forces have cracked down on protesters, the movement has only grown, with hundreds of thousands of people taking to the streets to call for new leadership. Human rights activists have accused the government of using extreme violence in order prosecute protesters, leading to an international outcry and sanctions from the European Union. As the situation in Belarus continues to unfold, the international community is monitoring the situation closely - hoping for a peaceful resolution, while also standing firm against the oppressive tactics employed by the Belarusian state."
"instruction": "Classify the following shape according to simple geometry.",
"input": "<Picture Attached>",
"output": "Triangle"
"instruction": "Given a recent news article, write a headline for it.",
"input": "https://www.news.example.com/article-1",
"output": "\"NASA Launches a Mars 2020 Mission to Search for Signs of Ancient Life\""
```
2. **Merged Instructions:** There were many instructions that were merged together in the original dataset for some reason.
```
"instruction": "Should I invest in stocks?",
"input": "",
"output": "It depends on your individual situation. Investing in stocks carries a certain amount of risk but can also offer potential rewards. Make sure to research the different types of stocks, understand the risks and rewards, and develop a plan that works for you.\n##\n18. Instruction: Identify the noun in the following sentence:\n18. Input:\nThe large apple was delicious.\n18. Output:\nApple"
```
3. **Empty outputs:** Some entries in the original dataset had empty outputs.
```
"instruction": "Calculate the area of the following shape in square centimeters.",
"input": "rectangle of size 4 cm x 5 cm",
"output": ""
```
4. **Empty code examples:** Some descriptions in the original dataset were missing code examples, making it difficult to understand the intended behavior of the code.
5. **Instructions to generate images:** Some descriptions in the original dataset included instructions to generate images, something obviously not possible.
```
"instruction": "Create a graphic or logo that visually represents the word \"courage\".",
"input": "",
"output": "<No Output>"
```
6. **N/A outputs:** Some code snippets in the original dataset had N/A outputs.
7. **Inconsistent input field:** The original dataset had inconsistent usage of the input field when it was supposed to be empty.
```
"input":"<no input>"
"input":"No input"
"input":"noinput"
"input":"<noinput>"
```
8. **Wrong answers:** Some instructions/questions in the original dataset had incorrect answers. About 80% of the math problems are estimated to have incorrect answers.
```
"instruction": "Calculate the median of the following data set.",
"input": "1, 2, 4, 5, 8, 9",
"output": "5"
"instruction": "Convert 25m to km.",
"input": "",
"output": "25km"
```
9. **Non-Sensical/Unclear instructions:** Many instructions are unclear, we try to clarify (or re-write) if instructions are non-sensical. Instructions that are slightly unclear, but where one could deduce the meaning are not altered.
```
"instruction": "Freeze the following sample of yogurt for 10 minutes.",
"input": "Yogurt sample",
"output": "<noinput>"
"instruction": "Increase the font size to 12 points.",
"input": "",
"output": "The font size has been increased to 12 points."
```
10. **Extraneous escape and control characters:** The original dataset had several entries with extraneous escape and control characters.
### Original Alpaca Dataset Summary
Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's `text-davinci-003` engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better.
The authors built on the data generation pipeline from [Self-Instruct framework](https://github.com/yizhongw/self-instruct) and made the following modifications:
- The `text-davinci-003` engine to generate the instruction data instead of `davinci`.
- A [new prompt](https://github.com/tatsu-lab/stanford_alpaca/blob/main/prompt.txt) was written that explicitly gave the requirement of instruction generation to `text-davinci-003`.
- Much more aggressive batch decoding was used, i.e., generating 20 instructions at once, which significantly reduced the cost of data generation.
- The data generation pipeline was simplified by discarding the difference between classification and non-classification instructions.
- Only a single instance was generated for each instruction, instead of 2 to 3 instances as in Self-Instruct.
This produced an instruction-following dataset with 52K examples obtained at a much lower cost (less than $500).
In a preliminary study, the authors also found that the 52K generated data to be much more diverse than the data released by [Self-Instruct](https://github.com/yizhongw/self-instruct/blob/main/data/seed_tasks.jsonl).
### Supported Tasks and Leaderboards
The Alpaca dataset designed for instruction training pretrained language models.
### Languages
The data in Alpaca are in English (BCP-47 en).
## Dataset Structure
### Data Instances
An example of "train" looks as follows:
```json
{
"instruction": "Create a classification task by clustering the given list of items.",
"input": "Apples, oranges, bananas, strawberries, pineapples",
"output": "Class 1: Apples, Oranges\nClass 2: Bananas, Strawberries\nClass 3: Pineapples",
"text": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\nCreate a classification task by clustering the given list of items.\n\n### Input:\nApples, oranges, bananas, strawberries, pineapples\n\n### Response:\nClass 1: Apples, Oranges\nClass 2: Bananas, Strawberries\nClass 3: Pineapples",
}
```
### Data Fields
The data fields are as follows:
* `instruction`: describes the task the model should perform. Each of the 52K instructions is unique.
* `input`: optional context or input for the task. For example, when the instruction is "Summarize the following article", the input is the article. Around 40% of the examples have an input.
* `output`: the answer to the instruction as generated by `text-davinci-003`.
* `text`: the `instruction`, `input` and `output` formatted with the [prompt template](https://github.com/tatsu-lab/stanford_alpaca#data-release) used by the authors for fine-tuning their models.
### Data Splits
| | train |
|---------------|------:|
| alpaca | 52002 |
## 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
Excerpt the [blog post](https://crfm.stanford.edu/2023/03/13/alpaca.html) accompanying the release of this dataset:
> We believe that releasing the above assets will enable the academic community to perform controlled scientific studies on instruction-following language models, resulting in better science and ultimately new techniques to address the existing deficiencies with these models. At the same time, any release carries some risk. First, we recognize that releasing our training recipe reveals the feasibility of certain capabilities. On one hand, this enables more people (including bad actors) to create models that could cause harm (either intentionally or not). On the other hand, this awareness might incentivize swift defensive action, especially from the academic community, now empowered by the means to perform deeper safety research on such models. Overall, we believe that the benefits for the research community outweigh the risks of this particular release. Given that we are releasing the training recipe, we believe that releasing the data, model weights, and training code incur minimal further risk, given the simplicity of the recipe. At the same time, releasing these assets has enormous benefits for reproducible science, so that the academic community can use standard datasets, models, and code to perform controlled comparisons and to explore extensions. Deploying an interactive demo for Alpaca also poses potential risks, such as more widely disseminating harmful content and lowering the barrier for spam, fraud, or disinformation. We have put into place two risk mitigation strategies. First, we have implemented a content filter using OpenAI’s content moderation API, which filters out harmful content as defined by OpenAI’s usage policies. Second, we watermark all the model outputs using the method described in Kirchenbauer et al. 2023, so that others can detect (with some probability) whether an output comes from Alpaca 7B. Finally, we have strict terms and conditions for using the demo; it is restricted to non-commercial uses and to uses that follow LLaMA’s license agreement. We understand that these mitigation measures can be circumvented once we release the model weights or if users train their own instruction-following models. However, by installing these mitigations, we hope to advance the best practices and ultimately develop community norms for the responsible deployment of foundation models.
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
The `alpaca` data is generated by a language model (`text-davinci-003`) and inevitably contains some errors or biases. We encourage users to use this data with caution and propose new methods to filter or improve the imperfections.
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
The dataset is available under the [Creative Commons NonCommercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode).
### Citation Information
```
@misc{alpaca,
author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto },
title = {Stanford Alpaca: An Instruction-following LLaMA model},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
}
```
### Contributions
[More Information Needed] | [
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|
Seongill/Trivia_missing_3 | Seongill | 2023-12-06T12:48:51Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T12:48:46Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: has_answer
dtype: bool
splits:
- name: train
num_bytes: 26270162
num_examples: 11313
download_size: 16168435
dataset_size: 26270162
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/NQ_missing_3 | Seongill | 2023-12-06T12:48:55Z | 0 | 1 | [
"region:us"
]
| null | 2023-12-06T12:48:52Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: has_answer
dtype: bool
splits:
- name: train
num_bytes: 7388979
num_examples: 3610
download_size: 4500772
dataset_size: 7388979
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Seongill/NQ_missing_10 | Seongill | 2023-12-06T12:49:14Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T12:49:12Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: ctxs
list:
- name: hasanswer
dtype: bool
- name: id
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: has_answer
dtype: bool
splits:
- name: train
num_bytes: 23885578
num_examples: 3610
download_size: 13828764
dataset_size: 23885578
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
| [
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|
Nima-nlc/farzan_200k | Nima-nlc | 2023-12-06T12:54:02Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T12:53:57Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 238653701
num_examples: 196889
download_size: 112734667
dataset_size: 238653701
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
augmxnt/ultra-orca-boros-en-ja-v1 | augmxnt | 2023-12-06T12:58:47Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-06T12:55:59Z | ---
license: apache-2.0
---
EN/JA dataset used for [shisa-7b-v1](https://hf.co/augmxnt/shisa-7b-v1) - see details in that model's readme. | [
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|
polinaeterna/pleiades | polinaeterna | 2023-12-06T13:44:50Z | 0 | 0 | [
"license:cc",
"region:us"
]
| null | 2023-12-06T13:36:01Z | ---
configs:
- config_name: locations
data_files: pleiades-locations-latest.csv
- config_name: names
data_files: pleiades-names-latest.csv
- config_name: places
data_files: pleiades-places-latest.csv
license: cc
--- | [
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|
jquann1998/Pepper-Ann-Pearson | jquann1998 | 2023-12-06T14:17:00Z | 0 | 0 | [
"license:cc",
"region:us"
]
| null | 2023-12-06T14:16:10Z | ---
license: cc
---
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|
marcos292/Marc2 | marcos292 | 2023-12-06T15:20:54Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T15:20:26Z | ---
license: openrail
---
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|
HHazard/qodly | HHazard | 2023-12-06T15:28:12Z | 0 | 0 | [
"license:llama2",
"region:us"
]
| null | 2023-12-06T15:28:12Z | ---
license: llama2
---
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|
bertbsb/hebertespanhol | bertbsb | 2023-12-06T15:50:50Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T15:45:56Z | ---
license: openrail
---
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|
Lemoncoke/Marathon | Lemoncoke | 2023-12-08T05:11:50Z | 0 | 0 | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|other",
"language:en",
"license:mit",
"long context",
"region:us"
]
| [
"question-answering"
]
| 2023-12-06T15:52:52Z | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- expert-generated
- machine-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: Marathon
size_categories:
- 1K<n<10K
source_datasets:
- extended|other
tags:
- long context
task_categories:
- question-answering
task_ids:
- open-domain-qa
configs:
- config_name: default
data_files:
- split: test
path: "marathon.json"
---
# Dataset Card for Marathon
###### Paper coming soon ~
## Dataset Summary
Marathon benchmark is a new long-context multiple-choice benchmark, mainly based on [LooGLE](https://github.com/bigai-nlco/LooGLE), with some original data from [LongBench](https://github.com/THUDM/LongBench). The context length can reach up to 200K+. Marathon benchmark comprises six tasks: *Comprehension and Reasoning*, *Multiple Information Retrieval*, *Timeline Reorder*, *Computation*, *Passage Retrieval*, and *Short Dependency Question Answering*. Each test case includes a Long Context, a question, and multiple candidate options. Large Language Models (LLMs) need to select the correct answer from the given options based on the Long Context in the test.
## Github
Marathon is also available at Github: [Marathon](https://github.com/Hambaobao/Marathon).
## Data Instances
An example of test looks as follows. This is a toy example.
```json
{
"id": "7",
"type": "comprehension_and_reasoning",
"context": " Early life. Picardo was born in Jerez de la Frontera, in the Province of Cádiz in Andalucía, Spain on 18 June 1919. His father was Alvaro Picardo de Celis and his mother's family name was Castellón. He had four brothers, one of whom died in infancy. His father died in 1929 when Picardo was ten years old. With his mother and his brothers he moved to Madrid, Spain. [Truncated for display purpose] ",
"question": "How many people were in Picardo's family when he was twelve?",
"options": {
"A": "five",
"B": "eight",
"C": "nine",
"D": "ten"
},
"length": 268760
}
```
+ Methods (optimizing methods):
+ 🏐 Vanilla
+ 🎾 RAG (Retrieval Augmented Generation)
+ 🏀 PC (LongLLMLingua Prompt Compression)
+ Embedding Models:
+ 🍿 OpenAI: text-embedding-ada-002
+ 🍔 Jina: Jina-Embedding-base
| Tag | Model | Parameters | Context Window | Method | Embedding | Avg. Accuracy ⬆️ |
| :--- | :---------- | :-------: | :------------: | :-------- | :-------- | :-------------: |
| 🏐 | **GPT-4** | - | 128K | 🏐 Vanilla | - | **78.59** |
| 🎾🍔 | Yi-chat | 34B | 200K | 🎾 RAG | 🍔 Jina | 63.81 |
| 🎾🍿 | Yi-chat | 34B | 200K | 🎾 RAG | 🍿 OpenAI | 63.56 |
| 🎾🍿 | Tutu2-DPO | 70B | 8K | 🎾 RAG | 🍿 OpenAI | 61.97 |
| 🎾🍔 | Tutu2-DPO | 70B | 8K | 🎾 RAG | 🍔 Jina | 61.52 |
| 🎾🍔 | Qwen | 14B | 8K | 🎾 RAG | 🍔 Jina | 58.12 |
| 🏐 | **ChatGPT** | - | 16K | 🏐 Vanilla | - | **57.37** |
| 🏐 | Yi-chat | 34B | 200K | 🏐 Vanilla | - | 55.91 |
| 🎾🍔 | Beluga2 | 70B | 4K | 🎾 RAG | 🍔 Jina | 55.72 |
| 🏐 | ChatGLM3 | 6B | 32K | 🏐 Vanilla | - | 55.05 |
| 🎾🍔 | Zephyr | 7B | 32K | 🎾 RAG | 🍔 Jina | 53.79 |
| 🎾🍿 | Qwen | 14B | 8K | 🎾 RAG | 🍿 OpenAI | 53.46 |
| 🏀 | Beluga2 | 70B | 4K | 🏀 PC | - | 52.29 |
| 🎾🍔 | Mistral | 7B | 32K | 🎾 RAG | 🍔 Jina | 52.04 |
| 🎾🍿 | Alfred | 40B | 8K | 🎾 RAG | 🍿 OpenAI | 51.35 |
| 🎾🍔 | Alfred | 40B | 8K | 🎾 RAG | 🍔 Jina | 51.24 |
| 🎾🍿 | ChatGLM3 | 6B | 32K | 🎾 RAG | 🍿 OpenAI | 50.99 |
| 🎾🍔 | ChatGLM3 | 6B | 32K | 🎾 RAG | 🍔 Jina | 50.60 |
| 🎾🍿 | Mistral | 7B | 32K | 🎾 RAG | 🍿 OpenAI | 50.18 |
| 🎾🍿 | Zephyr | 7B | 32K | 🎾 RAG | 🍿 OpenAI | 49.63 |
| 🏐 | Beluga2 | 70B | 4K | 🏐 Vanilla | - | 49.51 |
| 🏀 | Yi | 34B | 200K | 🏀 PC | - | 48.66 |
| 🎾🍿 | Beluga2 | 70B | 4K | 🎾 RAG | 🍿 OpenAI | 48.24 |
| 🏀 | ChatGLM3 | 6B | 32K | 🏀 PC | - | 47.91 |
| 🏀 | Tulu2-DPO | 70B | 8K | 🏀 PC | - | 46.56 |
| 🏀 | Qwen | 14B | 8K | 🏀 PC | - | 44.12 |
| 🏐 | Mistral | 7B | 32K | 🏐 Vanilla | - | 39.81 |
| 🏐 | Qwen | 14B | 8K | 🏐 Vanilla | - | 39.27 |
| 🏀 | Alfred | 40B | 8K | 🏀 PC | - | 38.82 |
| 🏐 | Zephyr | 7B | 32K | 🏐 Vanilla | - | 37.97 |
| 🏐 | Tulu2-DPO | 7B | 8K | 🏐 Vanilla | - | 37.92 |
| 🎾🍔 | Longchat | 13B | 16K | 🎾 RAG | 🍔 Jina | 37.78 |
| 🏐 | Alfred | 40B | 8K | 🏐 Vanilla | - | 37.31 |
| 🏀 | Mistral | 7B | 32K | 🏀 PC | - | 37.01 |
| 🏐 | Longchat | 13B | 16K | 🏐 Vanilla | - | 35.87 |
| 🏀 | Longchat | 13B | 16K | 🏀 PC | - | 35.61 |
| 🏀 | Zephyr | 7B | 32K | 🏀 PC | - | 30.23 |
| 🎾🍿 | Longchat | 13B | 16K | 🎾 RAG | 🍿 OpenAI | 29.95 |
## Online Evaluation
Welcome to Marathon Race, online evaluation is now available at [https://openbenchmark.online/marathon](https://openbenchmark.online/marathon).
**Answer File Format**
The file should be a JSON file containing a list of dictionaries with a length of 1530. Each dictionary must include at least two fields: 'id' and 'answer'. Here is a sample answer file:
```json
[
{
"id": "0",
"answer": "C"
},
{
"id": "1",
"answer": "B"
},
{
"id": "2",
"answer": "B"
},
...
{
"id": "1529",
"answer": "C"
}
]
```
**Results File Format**
The Results file is a JSON file that includes the accuracy of the LLM (Language Learning Model) in 6 tasks within the Marathon, as well as the average accuracy across all tasks. Here is a sample results file:
```json
{
"comprehension_and_reasoning": {
"accuracy": 0.46218487394957986,
"correct": 165,
"total": 357
},
"multiple_information_retrieval": {
"accuracy": 0.41935483870967744,
"correct": 143,
"total": 341
},
"timeline_reorder": {
"accuracy": 0.2894736842105263,
"correct": 44,
"total": 152
},
"computation": {
"accuracy": 0.23711340206185566,
"correct": 23,
"total": 97
},
"passage_retrieval": {
"accuracy": 0.49666666666666665,
"correct": 149,
"total": 300
},
"shortdep_qa": {
"accuracy": 0.4840989399293286,
"correct": 137,
"total": 283
},
"average": 0.39814873425460573
}
```
## Citations
If you find our work useful, please cite us.
```
@article{zhang2023marathon,
title={Marathon: A Race Through the Realm of Long Context with Large Language Models},
author={Zhang, Lei and Li, Yunshui and Liu, Ziqiang and Liu, Junhao and Yang, Jiaxi and Yang, Min},
url={https://huggingface.co/datasets/Lemoncoke/Marathon},
year={2023}
}
```
When citing our work, please kindly consider citing the original dataset papers.
```
@misc{li2023loogle,
title={Can Long-Context Language Models Understand Long Contexts?},
author={ Li, Jiaqi and Wang, Mengmeng and Zheng, Zilong and Zhang, Muhan },
url={https://github.com/bigai-nlco/LooGLE},
year={2023}
}
```
```
@article{bai2023longbench,
title={LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding},
author={Bai, Yushi and Lv, Xin and Zhang, Jiajie and Lyu, Hongchang and Tang, Jiankai and Huang, Zhidian and Du, Zhengxiao and Liu, Xiao and Zeng, Aohan and Hou, Lei and Dong, Yuxiao and Tang, Jie and Li, Juanzi},
journal={arXiv preprint arXiv:2308.14508},
year={2023}
}
``` | [
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|
AddictiveFuture/lora | AddictiveFuture | 2023-12-06T16:09:06Z | 0 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-12-06T16:03:25Z | ---
license: unknown
---
# My collection of Lora's
Collection of Lora's that I use every day. Created to make downloading easier. | [
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|
marcos292/LPMark | marcos292 | 2023-12-06T16:04:34Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T16:04:09Z | ---
license: openrail
---
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|
Vinnyyw/Fueravoice | Vinnyyw | 2023-12-06T16:28:00Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T16:26:51Z | ---
license: openrail
---
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|
mesolitica/chatgpt-malay-function-call | mesolitica | 2023-12-10T04:24:03Z | 0 | 0 | [
"language:ms",
"region:us"
]
| null | 2023-12-06T16:29:08Z | ---
language:
- ms
pretty_name: malay-function-call
---
# Evolution function call instructions
Originally from https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2, thanks to https://github.com/aisyahrzk and https://github.com/KamarulAdha for finding the best prompts to evolve.
Generated using ChatGPT3.5, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/chatbot/evol-function-call
Example of data,
```json
{
"function_call": "{\n \"name\": \"get_news_headlines\",\n \"description\": \"Dapatkan tajuk berita terkini\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"country\": {\n \"type\": \"string\",\n \"description\": \"Negara untuk mendapatkan berita\"\n }\n },\n \"required\": [\n \"country\"\n ]\n }\n}",
"conversations": [
{
"role": "user",
"content": "Bolehkah anda memberitahu saya tajuk berita terkini untuk Amerika Syarikat?"
},
{
"role": "assistant",
"content": "<functioncall> {\"name\": \"get_news_headlines\", \"arguments\": \"{\\\"country\\\": \\\"Amerika Syarikat\\\"}\"}"
},
{
"role": "user",
"content": "Itu menarik. Bagaimana pula dengan berita di Perancis?"
},
{
"role": "assistant",
"content": "<functioncall> {\"name\": \"get_news_headlines\", \"arguments\": \"{\\\"country\\\": \\\"Perancis\\\"}\"}"
}
]
}
```
```json
{
"function_call": "{\n \"name\": \"generate_password\",\n \"description\": \"Menghasilkan kata laluan rawak dengan kriteria yang ditetapkan\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"length\": {\n \"type\": \"integer\",\n \"description\": \"Panjang kata laluan\"\n },\n \"include_numbers\": {\n \"type\": \"boolean\",\n \"description\": \"Termasuk nombor dalam kata laluan\"\n },\n \"include_special_characters\": {\n \"type\": \"boolean\",\n \"description\": \"Termasuk karakter-karakter istimewa dalam kata laluan\"\n }\n },\n \"required\": [\n \"length\"\n ]\n }\n}",
"conversations": [
{
"role": "user",
"content": "Saya mahu ia panjang 12 aksara dan ya, ia patut termasuk kedua-dua nombor dan karakter istimewa."
},
{
"role": "assistant",
"content": "<functioncall> {\"name\": \"generate_password\", \"arguments\": \"{\\\"length\\\": 12, \\\"include_numbers\\\": True, \\\"include_special_characters\\\": True}\"}"
}
]
}
``` | [
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|
open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan-v2 | open-llm-leaderboard | 2023-12-06T16:38:41Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T16:37:58Z | ---
pretty_name: Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2)\
\ 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_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan-v2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T16:35:02.254725](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan-v2/blob/main/results_2023-12-06T16-35-02.254725.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\": 0.4854669414522855,\n\
\ \"acc_stderr\": 0.03427653682216115,\n \"acc_norm\": 0.4901902411506228,\n\
\ \"acc_norm_stderr\": 0.03502642515614706,\n \"mc1\": 0.30354957160342716,\n\
\ \"mc1_stderr\": 0.016095884155386847,\n \"mc2\": 0.45656512530226173,\n\
\ \"mc2_stderr\": 0.01564502150544874\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.4948805460750853,\n \"acc_stderr\": 0.01461062489030916,\n\
\ \"acc_norm\": 0.5324232081911263,\n \"acc_norm_stderr\": 0.014580637569995421\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5962955586536547,\n\
\ \"acc_stderr\": 0.004896368185765231,\n \"acc_norm\": 0.7843059151563434,\n\
\ \"acc_norm_stderr\": 0.0041046239918463645\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.48026315789473684,\n \"acc_stderr\": 0.040657710025626036,\n\
\ \"acc_norm\": 0.48026315789473684,\n \"acc_norm_stderr\": 0.040657710025626036\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5433962264150943,\n \"acc_stderr\": 0.03065674869673943,\n\
\ \"acc_norm\": 0.5433962264150943,\n \"acc_norm_stderr\": 0.03065674869673943\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5208333333333334,\n\
\ \"acc_stderr\": 0.041775789507399935,\n \"acc_norm\": 0.5208333333333334,\n\
\ \"acc_norm_stderr\": 0.041775789507399935\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \
\ },\n \"harness|hendrycksTest-college_computer_science|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_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\": 0.4046242774566474,\n\
\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n\
\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.4085106382978723,\n \"acc_stderr\": 0.03213418026701576,\n\
\ \"acc_norm\": 0.4085106382978723,\n \"acc_norm_stderr\": 0.03213418026701576\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.37719298245614036,\n\
\ \"acc_stderr\": 0.045595221419582166,\n \"acc_norm\": 0.37719298245614036,\n\
\ \"acc_norm_stderr\": 0.045595221419582166\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.041665675771015785,\n\
\ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.041665675771015785\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.29365079365079366,\n \"acc_stderr\": 0.023456037383982026,\n \"\
acc_norm\": 0.29365079365079366,\n \"acc_norm_stderr\": 0.023456037383982026\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.24603174603174602,\n\
\ \"acc_stderr\": 0.03852273364924314,\n \"acc_norm\": 0.24603174603174602,\n\
\ \"acc_norm_stderr\": 0.03852273364924314\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.5225806451612903,\n \"acc_stderr\": 0.02841498501970786,\n \"\
acc_norm\": 0.5225806451612903,\n \"acc_norm_stderr\": 0.02841498501970786\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.3694581280788177,\n \"acc_stderr\": 0.033959703819985726,\n \"\
acc_norm\": 0.3694581280788177,\n \"acc_norm_stderr\": 0.033959703819985726\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\
: 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.5878787878787879,\n \"acc_stderr\": 0.03843566993588717,\n\
\ \"acc_norm\": 0.5878787878787879,\n \"acc_norm_stderr\": 0.03843566993588717\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.6060606060606061,\n \"acc_stderr\": 0.034812853382329624,\n \"\
acc_norm\": 0.6060606060606061,\n \"acc_norm_stderr\": 0.034812853382329624\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7150259067357513,\n \"acc_stderr\": 0.032577140777096614,\n\
\ \"acc_norm\": 0.7150259067357513,\n \"acc_norm_stderr\": 0.032577140777096614\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4256410256410256,\n \"acc_stderr\": 0.02506909438729654,\n \
\ \"acc_norm\": 0.4256410256410256,\n \"acc_norm_stderr\": 0.02506909438729654\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.42016806722689076,\n \"acc_stderr\": 0.03206183783236152,\n\
\ \"acc_norm\": 0.42016806722689076,\n \"acc_norm_stderr\": 0.03206183783236152\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2913907284768212,\n \"acc_stderr\": 0.03710185726119995,\n \"\
acc_norm\": 0.2913907284768212,\n \"acc_norm_stderr\": 0.03710185726119995\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.6770642201834862,\n \"acc_stderr\": 0.02004811592341532,\n \"\
acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.02004811592341532\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.3287037037037037,\n \"acc_stderr\": 0.032036140846700596,\n \"\
acc_norm\": 0.3287037037037037,\n \"acc_norm_stderr\": 0.032036140846700596\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.6666666666666666,\n \"acc_stderr\": 0.03308611113236434,\n \"\
acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.03308611113236434\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.679324894514768,\n \"acc_stderr\": 0.030381931949990403,\n \
\ \"acc_norm\": 0.679324894514768,\n \"acc_norm_stderr\": 0.030381931949990403\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5695067264573991,\n\
\ \"acc_stderr\": 0.033231973029429394,\n \"acc_norm\": 0.5695067264573991,\n\
\ \"acc_norm_stderr\": 0.033231973029429394\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5725190839694656,\n \"acc_stderr\": 0.04338920305792401,\n\
\ \"acc_norm\": 0.5725190839694656,\n \"acc_norm_stderr\": 0.04338920305792401\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.6363636363636364,\n \"acc_stderr\": 0.043913262867240704,\n \"\
acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.043913262867240704\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5925925925925926,\n\
\ \"acc_stderr\": 0.04750077341199984,\n \"acc_norm\": 0.5925925925925926,\n\
\ \"acc_norm_stderr\": 0.04750077341199984\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.558282208588957,\n \"acc_stderr\": 0.03901591825836184,\n\
\ \"acc_norm\": 0.558282208588957,\n \"acc_norm_stderr\": 0.03901591825836184\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
\ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
\ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.717948717948718,\n\
\ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.717948717948718,\n\
\ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
\ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
\ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5202312138728323,\n \"acc_stderr\": 0.026897049996382875,\n\
\ \"acc_norm\": 0.5202312138728323,\n \"acc_norm_stderr\": 0.026897049996382875\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2223463687150838,\n\
\ \"acc_stderr\": 0.013907189208156881,\n \"acc_norm\": 0.2223463687150838,\n\
\ \"acc_norm_stderr\": 0.013907189208156881\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5130718954248366,\n \"acc_stderr\": 0.028620130800700246,\n\
\ \"acc_norm\": 0.5130718954248366,\n \"acc_norm_stderr\": 0.028620130800700246\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5691318327974276,\n\
\ \"acc_stderr\": 0.028125340983972714,\n \"acc_norm\": 0.5691318327974276,\n\
\ \"acc_norm_stderr\": 0.028125340983972714\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5679012345679012,\n \"acc_stderr\": 0.027563010971606676,\n\
\ \"acc_norm\": 0.5679012345679012,\n \"acc_norm_stderr\": 0.027563010971606676\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.36879432624113473,\n \"acc_stderr\": 0.02878222756134724,\n \
\ \"acc_norm\": 0.36879432624113473,\n \"acc_norm_stderr\": 0.02878222756134724\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3500651890482399,\n\
\ \"acc_stderr\": 0.012182552313215175,\n \"acc_norm\": 0.3500651890482399,\n\
\ \"acc_norm_stderr\": 0.012182552313215175\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.45588235294117646,\n \"acc_stderr\": 0.03025437257397668,\n\
\ \"acc_norm\": 0.45588235294117646,\n \"acc_norm_stderr\": 0.03025437257397668\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.48366013071895425,\n \"acc_stderr\": 0.020217030653186453,\n \
\ \"acc_norm\": 0.48366013071895425,\n \"acc_norm_stderr\": 0.020217030653186453\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5224489795918368,\n \"acc_stderr\": 0.031976941187136725,\n\
\ \"acc_norm\": 0.5224489795918368,\n \"acc_norm_stderr\": 0.031976941187136725\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6467661691542289,\n\
\ \"acc_stderr\": 0.03379790611796777,\n \"acc_norm\": 0.6467661691542289,\n\
\ \"acc_norm_stderr\": 0.03379790611796777\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.43373493975903615,\n\
\ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.43373493975903615,\n\
\ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.03446296217088427,\n\
\ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.03446296217088427\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.30354957160342716,\n\
\ \"mc1_stderr\": 0.016095884155386847,\n \"mc2\": 0.45656512530226173,\n\
\ \"mc2_stderr\": 0.01564502150544874\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7229676400947119,\n \"acc_stderr\": 0.012577891015342414\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.19484457922668688,\n \
\ \"acc_stderr\": 0.010910039409578768\n }\n}\n```"
repo_url: https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-35-02.254725.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-35-02.254725.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- '**/details_harness|winogrande|5_2023-12-06T16-35-02.254725.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T16-35-02.254725.parquet'
- config_name: results
data_files:
- split: 2023_12_06T16_35_02.254725
path:
- results_2023-12-06T16-35-02.254725.parquet
- split: latest
path:
- results_2023-12-06T16-35-02.254725.parquet
---
# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2) 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_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan-v2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T16:35:02.254725](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-100step-flan-v2/blob/main/results_2023-12-06T16-35-02.254725.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": 0.4854669414522855,
"acc_stderr": 0.03427653682216115,
"acc_norm": 0.4901902411506228,
"acc_norm_stderr": 0.03502642515614706,
"mc1": 0.30354957160342716,
"mc1_stderr": 0.016095884155386847,
"mc2": 0.45656512530226173,
"mc2_stderr": 0.01564502150544874
},
"harness|arc:challenge|25": {
"acc": 0.4948805460750853,
"acc_stderr": 0.01461062489030916,
"acc_norm": 0.5324232081911263,
"acc_norm_stderr": 0.014580637569995421
},
"harness|hellaswag|10": {
"acc": 0.5962955586536547,
"acc_stderr": 0.004896368185765231,
"acc_norm": 0.7843059151563434,
"acc_norm_stderr": 0.0041046239918463645
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542129,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542129
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.4222222222222222,
"acc_stderr": 0.04266763404099582,
"acc_norm": 0.4222222222222222,
"acc_norm_stderr": 0.04266763404099582
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.48026315789473684,
"acc_stderr": 0.040657710025626036,
"acc_norm": 0.48026315789473684,
"acc_norm_stderr": 0.040657710025626036
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.53,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.53,
"acc_norm_stderr": 0.050161355804659205
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.5433962264150943,
"acc_stderr": 0.03065674869673943,
"acc_norm": 0.5433962264150943,
"acc_norm_stderr": 0.03065674869673943
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.5208333333333334,
"acc_stderr": 0.041775789507399935,
"acc_norm": 0.5208333333333334,
"acc_norm_stderr": 0.041775789507399935
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.28,
"acc_stderr": 0.04512608598542127,
"acc_norm": 0.28,
"acc_norm_stderr": 0.04512608598542127
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"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": 0.4046242774566474,
"acc_stderr": 0.03742461193887248,
"acc_norm": 0.4046242774566474,
"acc_norm_stderr": 0.03742461193887248
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.041583075330832865,
"acc_norm": 0.22549019607843138,
"acc_norm_stderr": 0.041583075330832865
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.58,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.58,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.4085106382978723,
"acc_stderr": 0.03213418026701576,
"acc_norm": 0.4085106382978723,
"acc_norm_stderr": 0.03213418026701576
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.37719298245614036,
"acc_stderr": 0.045595221419582166,
"acc_norm": 0.37719298245614036,
"acc_norm_stderr": 0.045595221419582166
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.503448275862069,
"acc_stderr": 0.041665675771015785,
"acc_norm": 0.503448275862069,
"acc_norm_stderr": 0.041665675771015785
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.29365079365079366,
"acc_stderr": 0.023456037383982026,
"acc_norm": 0.29365079365079366,
"acc_norm_stderr": 0.023456037383982026
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.24603174603174602,
"acc_stderr": 0.03852273364924314,
"acc_norm": 0.24603174603174602,
"acc_norm_stderr": 0.03852273364924314
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.36,
"acc_stderr": 0.048241815132442176,
"acc_norm": 0.36,
"acc_norm_stderr": 0.048241815132442176
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.5225806451612903,
"acc_stderr": 0.02841498501970786,
"acc_norm": 0.5225806451612903,
"acc_norm_stderr": 0.02841498501970786
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.3694581280788177,
"acc_stderr": 0.033959703819985726,
"acc_norm": 0.3694581280788177,
"acc_norm_stderr": 0.033959703819985726
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.41,
"acc_stderr": 0.04943110704237102,
"acc_norm": 0.41,
"acc_norm_stderr": 0.04943110704237102
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.5878787878787879,
"acc_stderr": 0.03843566993588717,
"acc_norm": 0.5878787878787879,
"acc_norm_stderr": 0.03843566993588717
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.6060606060606061,
"acc_stderr": 0.034812853382329624,
"acc_norm": 0.6060606060606061,
"acc_norm_stderr": 0.034812853382329624
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.7150259067357513,
"acc_stderr": 0.032577140777096614,
"acc_norm": 0.7150259067357513,
"acc_norm_stderr": 0.032577140777096614
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.4256410256410256,
"acc_stderr": 0.02506909438729654,
"acc_norm": 0.4256410256410256,
"acc_norm_stderr": 0.02506909438729654
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.26296296296296295,
"acc_stderr": 0.02684205787383371,
"acc_norm": 0.26296296296296295,
"acc_norm_stderr": 0.02684205787383371
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.42016806722689076,
"acc_stderr": 0.03206183783236152,
"acc_norm": 0.42016806722689076,
"acc_norm_stderr": 0.03206183783236152
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.2913907284768212,
"acc_stderr": 0.03710185726119995,
"acc_norm": 0.2913907284768212,
"acc_norm_stderr": 0.03710185726119995
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.6770642201834862,
"acc_stderr": 0.02004811592341532,
"acc_norm": 0.6770642201834862,
"acc_norm_stderr": 0.02004811592341532
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.3287037037037037,
"acc_stderr": 0.032036140846700596,
"acc_norm": 0.3287037037037037,
"acc_norm_stderr": 0.032036140846700596
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.6666666666666666,
"acc_stderr": 0.03308611113236434,
"acc_norm": 0.6666666666666666,
"acc_norm_stderr": 0.03308611113236434
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.679324894514768,
"acc_stderr": 0.030381931949990403,
"acc_norm": 0.679324894514768,
"acc_norm_stderr": 0.030381931949990403
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.5695067264573991,
"acc_stderr": 0.033231973029429394,
"acc_norm": 0.5695067264573991,
"acc_norm_stderr": 0.033231973029429394
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.5725190839694656,
"acc_stderr": 0.04338920305792401,
"acc_norm": 0.5725190839694656,
"acc_norm_stderr": 0.04338920305792401
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.6363636363636364,
"acc_stderr": 0.043913262867240704,
"acc_norm": 0.6363636363636364,
"acc_norm_stderr": 0.043913262867240704
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.5925925925925926,
"acc_stderr": 0.04750077341199984,
"acc_norm": 0.5925925925925926,
"acc_norm_stderr": 0.04750077341199984
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.558282208588957,
"acc_stderr": 0.03901591825836184,
"acc_norm": 0.558282208588957,
"acc_norm_stderr": 0.03901591825836184
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.3125,
"acc_stderr": 0.043994650575715215,
"acc_norm": 0.3125,
"acc_norm_stderr": 0.043994650575715215
},
"harness|hendrycksTest-management|5": {
"acc": 0.6796116504854369,
"acc_stderr": 0.04620284082280041,
"acc_norm": 0.6796116504854369,
"acc_norm_stderr": 0.04620284082280041
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.717948717948718,
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}
```
### 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] | [
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|
open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan-v2 | open-llm-leaderboard | 2023-12-06T16:42:17Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T16:41:34Z | ---
pretty_name: Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2)\
\ 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_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan-v2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T16:38:37.454092](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan-v2/blob/main/results_2023-12-06T16-38-37.454092.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\": 0.48616292304115616,\n\
\ \"acc_stderr\": 0.03429063635606904,\n \"acc_norm\": 0.49078740973720447,\n\
\ \"acc_norm_stderr\": 0.03504500095644619,\n \"mc1\": 0.3011015911872705,\n\
\ \"mc1_stderr\": 0.016058999026100616,\n \"mc2\": 0.4541594429045071,\n\
\ \"mc2_stderr\": 0.015593505840237026\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.49402730375426623,\n \"acc_stderr\": 0.014610348300255795,\n\
\ \"acc_norm\": 0.5264505119453925,\n \"acc_norm_stderr\": 0.014590931358120169\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5935072694682334,\n\
\ \"acc_stderr\": 0.004901747426331731,\n \"acc_norm\": 0.780422226648078,\n\
\ \"acc_norm_stderr\": 0.0041311457711038875\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.48026315789473684,\n \"acc_stderr\": 0.040657710025626036,\n\
\ \"acc_norm\": 0.48026315789473684,\n \"acc_norm_stderr\": 0.040657710025626036\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5433962264150943,\n \"acc_stderr\": 0.03065674869673943,\n\
\ \"acc_norm\": 0.5433962264150943,\n \"acc_norm_stderr\": 0.03065674869673943\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5347222222222222,\n\
\ \"acc_stderr\": 0.04171115858181618,\n \"acc_norm\": 0.5347222222222222,\n\
\ \"acc_norm_stderr\": 0.04171115858181618\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \
\ },\n \"harness|hendrycksTest-college_computer_science|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_mathematics|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\
\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.4085106382978723,\n \"acc_stderr\": 0.03213418026701576,\n\
\ \"acc_norm\": 0.4085106382978723,\n \"acc_norm_stderr\": 0.03213418026701576\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3684210526315789,\n\
\ \"acc_stderr\": 0.04537815354939392,\n \"acc_norm\": 0.3684210526315789,\n\
\ \"acc_norm_stderr\": 0.04537815354939392\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.29894179894179895,\n \"acc_stderr\": 0.023577604791655802,\n \"\
acc_norm\": 0.29894179894179895,\n \"acc_norm_stderr\": 0.023577604791655802\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.24603174603174602,\n\
\ \"acc_stderr\": 0.03852273364924314,\n \"acc_norm\": 0.24603174603174602,\n\
\ \"acc_norm_stderr\": 0.03852273364924314\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.5290322580645161,\n \"acc_stderr\": 0.028396016402761005,\n \"\
acc_norm\": 0.5290322580645161,\n \"acc_norm_stderr\": 0.028396016402761005\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.3694581280788177,\n \"acc_stderr\": 0.033959703819985726,\n \"\
acc_norm\": 0.3694581280788177,\n \"acc_norm_stderr\": 0.033959703819985726\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\
: 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.5878787878787879,\n \"acc_stderr\": 0.03843566993588717,\n\
\ \"acc_norm\": 0.5878787878787879,\n \"acc_norm_stderr\": 0.03843566993588717\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.6060606060606061,\n \"acc_stderr\": 0.03481285338232963,\n \"\
acc_norm\": 0.6060606060606061,\n \"acc_norm_stderr\": 0.03481285338232963\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7253886010362695,\n \"acc_stderr\": 0.03221024508041153,\n\
\ \"acc_norm\": 0.7253886010362695,\n \"acc_norm_stderr\": 0.03221024508041153\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4282051282051282,\n \"acc_stderr\": 0.025088301454694834,\n\
\ \"acc_norm\": 0.4282051282051282,\n \"acc_norm_stderr\": 0.025088301454694834\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.42016806722689076,\n \"acc_stderr\": 0.03206183783236152,\n\
\ \"acc_norm\": 0.42016806722689076,\n \"acc_norm_stderr\": 0.03206183783236152\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2913907284768212,\n \"acc_stderr\": 0.03710185726119995,\n \"\
acc_norm\": 0.2913907284768212,\n \"acc_norm_stderr\": 0.03710185726119995\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.6770642201834862,\n \"acc_stderr\": 0.02004811592341532,\n \"\
acc_norm\": 0.6770642201834862,\n \"acc_norm_stderr\": 0.02004811592341532\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.3287037037037037,\n \"acc_stderr\": 0.032036140846700596,\n \"\
acc_norm\": 0.3287037037037037,\n \"acc_norm_stderr\": 0.032036140846700596\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.6715686274509803,\n \"acc_stderr\": 0.03296245110172229,\n \"\
acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.03296245110172229\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.6624472573839663,\n \"acc_stderr\": 0.030781549102026226,\n \
\ \"acc_norm\": 0.6624472573839663,\n \"acc_norm_stderr\": 0.030781549102026226\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5695067264573991,\n\
\ \"acc_stderr\": 0.033231973029429394,\n \"acc_norm\": 0.5695067264573991,\n\
\ \"acc_norm_stderr\": 0.033231973029429394\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.04348208051644858,\n\
\ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.04348208051644858\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.6363636363636364,\n \"acc_stderr\": 0.043913262867240704,\n \"\
acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.043913262867240704\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6018518518518519,\n\
\ \"acc_stderr\": 0.04732332615978813,\n \"acc_norm\": 0.6018518518518519,\n\
\ \"acc_norm_stderr\": 0.04732332615978813\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.558282208588957,\n \"acc_stderr\": 0.03901591825836184,\n\
\ \"acc_norm\": 0.558282208588957,\n \"acc_norm_stderr\": 0.03901591825836184\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
\ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
\ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.717948717948718,\n\
\ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.717948717948718,\n\
\ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \
\ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
\ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
\ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5115606936416185,\n \"acc_stderr\": 0.02691189868637793,\n\
\ \"acc_norm\": 0.5115606936416185,\n \"acc_norm_stderr\": 0.02691189868637793\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.22793296089385476,\n\
\ \"acc_stderr\": 0.014030149950805097,\n \"acc_norm\": 0.22793296089385476,\n\
\ \"acc_norm_stderr\": 0.014030149950805097\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5130718954248366,\n \"acc_stderr\": 0.028620130800700246,\n\
\ \"acc_norm\": 0.5130718954248366,\n \"acc_norm_stderr\": 0.028620130800700246\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5627009646302251,\n\
\ \"acc_stderr\": 0.02817391776176289,\n \"acc_norm\": 0.5627009646302251,\n\
\ \"acc_norm_stderr\": 0.02817391776176289\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5740740740740741,\n \"acc_stderr\": 0.027513747284379428,\n\
\ \"acc_norm\": 0.5740740740740741,\n \"acc_norm_stderr\": 0.027513747284379428\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.3723404255319149,\n \"acc_stderr\": 0.028838921471251458,\n \
\ \"acc_norm\": 0.3723404255319149,\n \"acc_norm_stderr\": 0.028838921471251458\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.34876140808344197,\n\
\ \"acc_stderr\": 0.01217203515712712,\n \"acc_norm\": 0.34876140808344197,\n\
\ \"acc_norm_stderr\": 0.01217203515712712\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.45588235294117646,\n \"acc_stderr\": 0.03025437257397668,\n\
\ \"acc_norm\": 0.45588235294117646,\n \"acc_norm_stderr\": 0.03025437257397668\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.48856209150326796,\n \"acc_stderr\": 0.02022254151561087,\n \
\ \"acc_norm\": 0.48856209150326796,\n \"acc_norm_stderr\": 0.02022254151561087\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5265306122448979,\n \"acc_stderr\": 0.03196412734523272,\n\
\ \"acc_norm\": 0.5265306122448979,\n \"acc_norm_stderr\": 0.03196412734523272\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6467661691542289,\n\
\ \"acc_stderr\": 0.03379790611796777,\n \"acc_norm\": 0.6467661691542289,\n\
\ \"acc_norm_stderr\": 0.03379790611796777\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42771084337349397,\n\
\ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.42771084337349397,\n\
\ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.03446296217088427,\n\
\ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.03446296217088427\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3011015911872705,\n\
\ \"mc1_stderr\": 0.016058999026100616,\n \"mc2\": 0.4541594429045071,\n\
\ \"mc2_stderr\": 0.015593505840237026\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7292817679558011,\n \"acc_stderr\": 0.012487904760626304\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.18953752843062927,\n \
\ \"acc_stderr\": 0.010795837931896377\n }\n}\n```"
repo_url: https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-38-37.454092.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-38-37.454092.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- '**/details_harness|winogrande|5_2023-12-06T16-38-37.454092.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T16-38-37.454092.parquet'
- config_name: results
data_files:
- split: 2023_12_06T16_38_37.454092
path:
- results_2023-12-06T16-38-37.454092.parquet
- split: latest
path:
- results_2023-12-06T16-38-37.454092.parquet
---
# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2) 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_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan-v2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T16:38:37.454092](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-200step-flan-v2/blob/main/results_2023-12-06T16-38-37.454092.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
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```
### 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] | [
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|
open-llm-leaderboard/details_Locutusque__TinyMistral-248M-Instruct | open-llm-leaderboard | 2023-12-06T16:43:51Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T16:43:07Z | ---
pretty_name: Evaluation run of Locutusque/TinyMistral-248M-Instruct
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Locutusque/TinyMistral-248M-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-Instruct)\
\ 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_Locutusque__TinyMistral-248M-Instruct\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T16:40:16.358250](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__TinyMistral-248M-Instruct/blob/main/results_2023-12-06T16-40-16.358250.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\": 0.251231011993023,\n\
\ \"acc_stderr\": 0.030796208549621222,\n \"acc_norm\": 0.252037607935898,\n\
\ \"acc_norm_stderr\": 0.03161677046697385,\n \"mc1\": 0.22399020807833536,\n\
\ \"mc1_stderr\": 0.014594964329474203,\n \"mc2\": 0.419357246718368,\n\
\ \"mc2_stderr\": 0.015180505292617188\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.19965870307167236,\n \"acc_stderr\": 0.011681625756888674,\n\
\ \"acc_norm\": 0.2431740614334471,\n \"acc_norm_stderr\": 0.012536554144587089\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.27165903206532566,\n\
\ \"acc_stderr\": 0.004439059440526251,\n \"acc_norm\": 0.27524397530372435,\n\
\ \"acc_norm_stderr\": 0.004457243336616505\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\": 0.24444444444444444,\n\
\ \"acc_stderr\": 0.03712537833614865,\n \"acc_norm\": 0.24444444444444444,\n\
\ \"acc_norm_stderr\": 0.03712537833614865\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.2565789473684211,\n \"acc_stderr\": 0.035541803680256896,\n\
\ \"acc_norm\": 0.2565789473684211,\n \"acc_norm_stderr\": 0.035541803680256896\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.19,\n\
\ \"acc_stderr\": 0.03942772444036623,\n \"acc_norm\": 0.19,\n \
\ \"acc_norm_stderr\": 0.03942772444036623\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.27169811320754716,\n \"acc_stderr\": 0.027377706624670713,\n\
\ \"acc_norm\": 0.27169811320754716,\n \"acc_norm_stderr\": 0.027377706624670713\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2708333333333333,\n\
\ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.2708333333333333,\n\
\ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768081,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768081\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.22,\n \"acc_stderr\": 0.0416333199893227,\n \"acc_norm\": 0.22,\n\
\ \"acc_norm_stderr\": 0.0416333199893227\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.2254335260115607,\n\
\ \"acc_stderr\": 0.03186209851641143,\n \"acc_norm\": 0.2254335260115607,\n\
\ \"acc_norm_stderr\": 0.03186209851641143\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.042207736591714506,\n\
\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.042207736591714506\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.3148936170212766,\n \"acc_stderr\": 0.030363582197238167,\n\
\ \"acc_norm\": 0.3148936170212766,\n \"acc_norm_stderr\": 0.030363582197238167\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.22758620689655173,\n \"acc_stderr\": 0.03493950380131184,\n\
\ \"acc_norm\": 0.22758620689655173,\n \"acc_norm_stderr\": 0.03493950380131184\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.24603174603174602,\n \"acc_stderr\": 0.022182037202948368,\n \"\
acc_norm\": 0.24603174603174602,\n \"acc_norm_stderr\": 0.022182037202948368\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.21428571428571427,\n\
\ \"acc_stderr\": 0.03670066451047181,\n \"acc_norm\": 0.21428571428571427,\n\
\ \"acc_norm_stderr\": 0.03670066451047181\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.27419354838709675,\n\
\ \"acc_stderr\": 0.025378139970885203,\n \"acc_norm\": 0.27419354838709675,\n\
\ \"acc_norm_stderr\": 0.025378139970885203\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.2955665024630542,\n \"acc_stderr\": 0.032104944337514575,\n\
\ \"acc_norm\": 0.2955665024630542,\n \"acc_norm_stderr\": 0.032104944337514575\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\"\
: 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.26666666666666666,\n \"acc_stderr\": 0.034531318018854146,\n\
\ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.034531318018854146\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.2474747474747475,\n \"acc_stderr\": 0.030746300742124505,\n \"\
acc_norm\": 0.2474747474747475,\n \"acc_norm_stderr\": 0.030746300742124505\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.29015544041450775,\n \"acc_stderr\": 0.03275264467791516,\n\
\ \"acc_norm\": 0.29015544041450775,\n \"acc_norm_stderr\": 0.03275264467791516\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.26153846153846155,\n \"acc_stderr\": 0.022282141204204426,\n\
\ \"acc_norm\": 0.26153846153846155,\n \"acc_norm_stderr\": 0.022282141204204426\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895991,\n \
\ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895991\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.22268907563025211,\n \"acc_stderr\": 0.027025433498882367,\n\
\ \"acc_norm\": 0.22268907563025211,\n \"acc_norm_stderr\": 0.027025433498882367\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2119205298013245,\n \"acc_stderr\": 0.033367670865679766,\n \"\
acc_norm\": 0.2119205298013245,\n \"acc_norm_stderr\": 0.033367670865679766\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.26422018348623855,\n \"acc_stderr\": 0.018904164171510196,\n \"\
acc_norm\": 0.26422018348623855,\n \"acc_norm_stderr\": 0.018904164171510196\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.2222222222222222,\n \"acc_stderr\": 0.028353212866863448,\n \"\
acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.028353212866863448\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.29411764705882354,\n \"acc_stderr\": 0.03198001660115069,\n \"\
acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.03198001660115069\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.29535864978902954,\n \"acc_stderr\": 0.0296963387134229,\n \
\ \"acc_norm\": 0.29535864978902954,\n \"acc_norm_stderr\": 0.0296963387134229\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.2600896860986547,\n\
\ \"acc_stderr\": 0.029442495585857476,\n \"acc_norm\": 0.2600896860986547,\n\
\ \"acc_norm_stderr\": 0.029442495585857476\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.20610687022900764,\n \"acc_stderr\": 0.03547771004159462,\n\
\ \"acc_norm\": 0.20610687022900764,\n \"acc_norm_stderr\": 0.03547771004159462\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.19008264462809918,\n \"acc_stderr\": 0.03581796951709282,\n \"\
acc_norm\": 0.19008264462809918,\n \"acc_norm_stderr\": 0.03581796951709282\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.2777777777777778,\n\
\ \"acc_stderr\": 0.04330043749650742,\n \"acc_norm\": 0.2777777777777778,\n\
\ \"acc_norm_stderr\": 0.04330043749650742\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.2331288343558282,\n \"acc_stderr\": 0.0332201579577674,\n\
\ \"acc_norm\": 0.2331288343558282,\n \"acc_norm_stderr\": 0.0332201579577674\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.30357142857142855,\n\
\ \"acc_stderr\": 0.04364226155841044,\n \"acc_norm\": 0.30357142857142855,\n\
\ \"acc_norm_stderr\": 0.04364226155841044\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.3106796116504854,\n \"acc_stderr\": 0.04582124160161549,\n\
\ \"acc_norm\": 0.3106796116504854,\n \"acc_norm_stderr\": 0.04582124160161549\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.24786324786324787,\n\
\ \"acc_stderr\": 0.0282863240755644,\n \"acc_norm\": 0.24786324786324787,\n\
\ \"acc_norm_stderr\": 0.0282863240755644\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.29118773946360155,\n\
\ \"acc_stderr\": 0.01624608706970139,\n \"acc_norm\": 0.29118773946360155,\n\
\ \"acc_norm_stderr\": 0.01624608706970139\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.1994219653179191,\n \"acc_stderr\": 0.02151190065425255,\n\
\ \"acc_norm\": 0.1994219653179191,\n \"acc_norm_stderr\": 0.02151190065425255\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\
\ \"acc_stderr\": 0.014422292204808835,\n \"acc_norm\": 0.24692737430167597,\n\
\ \"acc_norm_stderr\": 0.014422292204808835\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.27124183006535946,\n \"acc_stderr\": 0.025457756696667895,\n\
\ \"acc_norm\": 0.27124183006535946,\n \"acc_norm_stderr\": 0.025457756696667895\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.21864951768488747,\n\
\ \"acc_stderr\": 0.02347558141786111,\n \"acc_norm\": 0.21864951768488747,\n\
\ \"acc_norm_stderr\": 0.02347558141786111\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.25308641975308643,\n \"acc_stderr\": 0.024191808600713,\n\
\ \"acc_norm\": 0.25308641975308643,\n \"acc_norm_stderr\": 0.024191808600713\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.2624113475177305,\n \"acc_stderr\": 0.02624492034984301,\n \
\ \"acc_norm\": 0.2624113475177305,\n \"acc_norm_stderr\": 0.02624492034984301\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23272490221642764,\n\
\ \"acc_stderr\": 0.010792595553888479,\n \"acc_norm\": 0.23272490221642764,\n\
\ \"acc_norm_stderr\": 0.010792595553888479\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.02456220431414232,\n\
\ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.02456220431414232\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.24183006535947713,\n \"acc_stderr\": 0.017322789207784326,\n \
\ \"acc_norm\": 0.24183006535947713,\n \"acc_norm_stderr\": 0.017322789207784326\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.21818181818181817,\n\
\ \"acc_stderr\": 0.03955932861795833,\n \"acc_norm\": 0.21818181818181817,\n\
\ \"acc_norm_stderr\": 0.03955932861795833\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.24897959183673468,\n \"acc_stderr\": 0.02768297952296023,\n\
\ \"acc_norm\": 0.24897959183673468,\n \"acc_norm_stderr\": 0.02768297952296023\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.263681592039801,\n\
\ \"acc_stderr\": 0.031157150869355568,\n \"acc_norm\": 0.263681592039801,\n\
\ \"acc_norm_stderr\": 0.031157150869355568\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.1927710843373494,\n\
\ \"acc_stderr\": 0.03070982405056527,\n \"acc_norm\": 0.1927710843373494,\n\
\ \"acc_norm_stderr\": 0.03070982405056527\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.2222222222222222,\n \"acc_stderr\": 0.03188578017686398,\n\
\ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.03188578017686398\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.22399020807833536,\n\
\ \"mc1_stderr\": 0.014594964329474203,\n \"mc2\": 0.419357246718368,\n\
\ \"mc2_stderr\": 0.015180505292617188\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5019731649565904,\n \"acc_stderr\": 0.014052376259225629\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\
: 0.0\n }\n}\n```"
repo_url: https://huggingface.co/Locutusque/TinyMistral-248M-Instruct
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-16.358250.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-40-16.358250.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- '**/details_harness|winogrande|5_2023-12-06T16-40-16.358250.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T16-40-16.358250.parquet'
- config_name: results
data_files:
- split: 2023_12_06T16_40_16.358250
path:
- results_2023-12-06T16-40-16.358250.parquet
- split: latest
path:
- results_2023-12-06T16-40-16.358250.parquet
---
# Dataset Card for Evaluation run of Locutusque/TinyMistral-248M-Instruct
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Locutusque/TinyMistral-248M-Instruct
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Locutusque/TinyMistral-248M-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-Instruct) 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_Locutusque__TinyMistral-248M-Instruct",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T16:40:16.358250](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__TinyMistral-248M-Instruct/blob/main/results_2023-12-06T16-40-16.358250.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": 0.251231011993023,
"acc_stderr": 0.030796208549621222,
"acc_norm": 0.252037607935898,
"acc_norm_stderr": 0.03161677046697385,
"mc1": 0.22399020807833536,
"mc1_stderr": 0.014594964329474203,
"mc2": 0.419357246718368,
"mc2_stderr": 0.015180505292617188
},
"harness|arc:challenge|25": {
"acc": 0.19965870307167236,
"acc_stderr": 0.011681625756888674,
"acc_norm": 0.2431740614334471,
"acc_norm_stderr": 0.012536554144587089
},
"harness|hellaswag|10": {
"acc": 0.27165903206532566,
"acc_stderr": 0.004439059440526251,
"acc_norm": 0.27524397530372435,
"acc_norm_stderr": 0.004457243336616505
},
"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": 0.24444444444444444,
"acc_stderr": 0.03712537833614865,
"acc_norm": 0.24444444444444444,
"acc_norm_stderr": 0.03712537833614865
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.2565789473684211,
"acc_stderr": 0.035541803680256896,
"acc_norm": 0.2565789473684211,
"acc_norm_stderr": 0.035541803680256896
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.19,
"acc_stderr": 0.03942772444036623,
"acc_norm": 0.19,
"acc_norm_stderr": 0.03942772444036623
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.27169811320754716,
"acc_stderr": 0.027377706624670713,
"acc_norm": 0.27169811320754716,
"acc_norm_stderr": 0.027377706624670713
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.2708333333333333,
"acc_stderr": 0.03716177437566017,
"acc_norm": 0.2708333333333333,
"acc_norm_stderr": 0.03716177437566017
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768081,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768081
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.22,
"acc_stderr": 0.0416333199893227,
"acc_norm": 0.22,
"acc_norm_stderr": 0.0416333199893227
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.24,
"acc_stderr": 0.042923469599092816,
"acc_norm": 0.24,
"acc_norm_stderr": 0.042923469599092816
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.2254335260115607,
"acc_stderr": 0.03186209851641143,
"acc_norm": 0.2254335260115607,
"acc_norm_stderr": 0.03186209851641143
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.23529411764705882,
"acc_stderr": 0.042207736591714506,
"acc_norm": 0.23529411764705882,
"acc_norm_stderr": 0.042207736591714506
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.25,
"acc_stderr": 0.04351941398892446,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04351941398892446
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.3148936170212766,
"acc_stderr": 0.030363582197238167,
"acc_norm": 0.3148936170212766,
"acc_norm_stderr": 0.030363582197238167
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.2982456140350877,
"acc_stderr": 0.04303684033537315,
"acc_norm": 0.2982456140350877,
"acc_norm_stderr": 0.04303684033537315
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.22758620689655173,
"acc_stderr": 0.03493950380131184,
"acc_norm": 0.22758620689655173,
"acc_norm_stderr": 0.03493950380131184
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.24603174603174602,
"acc_stderr": 0.022182037202948368,
"acc_norm": 0.24603174603174602,
"acc_norm_stderr": 0.022182037202948368
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.21428571428571427,
"acc_stderr": 0.03670066451047181,
"acc_norm": 0.21428571428571427,
"acc_norm_stderr": 0.03670066451047181
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.27419354838709675,
"acc_stderr": 0.025378139970885203,
"acc_norm": 0.27419354838709675,
"acc_norm_stderr": 0.025378139970885203
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.2955665024630542,
"acc_stderr": 0.032104944337514575,
"acc_norm": 0.2955665024630542,
"acc_norm_stderr": 0.032104944337514575
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.32,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.32,
"acc_norm_stderr": 0.046882617226215034
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.26666666666666666,
"acc_stderr": 0.034531318018854146,
"acc_norm": 0.26666666666666666,
"acc_norm_stderr": 0.034531318018854146
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.2474747474747475,
"acc_stderr": 0.030746300742124505,
"acc_norm": 0.2474747474747475,
"acc_norm_stderr": 0.030746300742124505
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.29015544041450775,
"acc_stderr": 0.03275264467791516,
"acc_norm": 0.29015544041450775,
"acc_norm_stderr": 0.03275264467791516
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.26153846153846155,
"acc_stderr": 0.022282141204204426,
"acc_norm": 0.26153846153846155,
"acc_norm_stderr": 0.022282141204204426
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.2518518518518518,
"acc_stderr": 0.02646611753895991,
"acc_norm": 0.2518518518518518,
"acc_norm_stderr": 0.02646611753895991
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.22268907563025211,
"acc_stderr": 0.027025433498882367,
"acc_norm": 0.22268907563025211,
"acc_norm_stderr": 0.027025433498882367
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.2119205298013245,
"acc_stderr": 0.033367670865679766,
"acc_norm": 0.2119205298013245,
"acc_norm_stderr": 0.033367670865679766
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.26422018348623855,
"acc_stderr": 0.018904164171510196,
"acc_norm": 0.26422018348623855,
"acc_norm_stderr": 0.018904164171510196
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.2222222222222222,
"acc_stderr": 0.028353212866863448,
"acc_norm": 0.2222222222222222,
"acc_norm_stderr": 0.028353212866863448
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.29411764705882354,
"acc_stderr": 0.03198001660115069,
"acc_norm": 0.29411764705882354,
"acc_norm_stderr": 0.03198001660115069
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.29535864978902954,
"acc_stderr": 0.0296963387134229,
"acc_norm": 0.29535864978902954,
"acc_norm_stderr": 0.0296963387134229
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.2600896860986547,
"acc_stderr": 0.029442495585857476,
"acc_norm": 0.2600896860986547,
"acc_norm_stderr": 0.029442495585857476
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.20610687022900764,
"acc_stderr": 0.03547771004159462,
"acc_norm": 0.20610687022900764,
"acc_norm_stderr": 0.03547771004159462
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.19008264462809918,
"acc_stderr": 0.03581796951709282,
"acc_norm": 0.19008264462809918,
"acc_norm_stderr": 0.03581796951709282
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.04330043749650742,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.04330043749650742
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.2331288343558282,
"acc_stderr": 0.0332201579577674,
"acc_norm": 0.2331288343558282,
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```
### 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] | [
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|
open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-300step-flan-v2 | open-llm-leaderboard | 2023-12-06T16:43:57Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T16:43:16Z | ---
pretty_name: Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2)\
\ 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_Korabbit__Llama-2-7b-chat-hf-afr-300step-flan-v2\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T16:40:21.068162](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-300step-flan-v2/blob/main/results_2023-12-06T16-40-21.068162.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\": 0.4858318036904494,\n\
\ \"acc_stderr\": 0.03428773546743271,\n \"acc_norm\": 0.4907011751374352,\n\
\ \"acc_norm_stderr\": 0.03504506485866877,\n \"mc1\": 0.29865361077111385,\n\
\ \"mc1_stderr\": 0.016021570613768545,\n \"mc2\": 0.45138129313940284,\n\
\ \"mc2_stderr\": 0.015562220951147801\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.49146757679180886,\n \"acc_stderr\": 0.014609263165632191,\n\
\ \"acc_norm\": 0.5255972696245734,\n \"acc_norm_stderr\": 0.014592230885298964\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5911173073093009,\n\
\ \"acc_stderr\": 0.004906227902850758,\n \"acc_norm\": 0.7776339374626569,\n\
\ \"acc_norm_stderr\": 0.004149859300604911\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.46710526315789475,\n \"acc_stderr\": 0.040601270352363966,\n\
\ \"acc_norm\": 0.46710526315789475,\n \"acc_norm_stderr\": 0.040601270352363966\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
\ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n \
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.539622641509434,\n \"acc_stderr\": 0.030676096599389184,\n\
\ \"acc_norm\": 0.539622641509434,\n \"acc_norm_stderr\": 0.030676096599389184\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5277777777777778,\n\
\ \"acc_stderr\": 0.04174752578923185,\n \"acc_norm\": 0.5277777777777778,\n\
\ \"acc_norm_stderr\": 0.04174752578923185\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \
\ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939098,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939098\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\
\ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
\ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.4127659574468085,\n \"acc_stderr\": 0.03218471141400351,\n\
\ \"acc_norm\": 0.4127659574468085,\n \"acc_norm_stderr\": 0.03218471141400351\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.35964912280701755,\n\
\ \"acc_stderr\": 0.045144961328736334,\n \"acc_norm\": 0.35964912280701755,\n\
\ \"acc_norm_stderr\": 0.045144961328736334\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.29365079365079366,\n \"acc_stderr\": 0.02345603738398203,\n \"\
acc_norm\": 0.29365079365079366,\n \"acc_norm_stderr\": 0.02345603738398203\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.23809523809523808,\n\
\ \"acc_stderr\": 0.038095238095238126,\n \"acc_norm\": 0.23809523809523808,\n\
\ \"acc_norm_stderr\": 0.038095238095238126\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.5258064516129032,\n\
\ \"acc_stderr\": 0.02840609505765332,\n \"acc_norm\": 0.5258064516129032,\n\
\ \"acc_norm_stderr\": 0.02840609505765332\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.3694581280788177,\n \"acc_stderr\": 0.03395970381998573,\n\
\ \"acc_norm\": 0.3694581280788177,\n \"acc_norm_stderr\": 0.03395970381998573\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\"\
: 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6060606060606061,\n \"acc_stderr\": 0.0381549430868893,\n\
\ \"acc_norm\": 0.6060606060606061,\n \"acc_norm_stderr\": 0.0381549430868893\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.601010101010101,\n \"acc_stderr\": 0.03488901616852732,\n \"acc_norm\"\
: 0.601010101010101,\n \"acc_norm_stderr\": 0.03488901616852732\n },\n\
\ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \
\ \"acc\": 0.7253886010362695,\n \"acc_stderr\": 0.03221024508041153,\n\
\ \"acc_norm\": 0.7253886010362695,\n \"acc_norm_stderr\": 0.03221024508041153\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.4282051282051282,\n \"acc_stderr\": 0.025088301454694834,\n\
\ \"acc_norm\": 0.4282051282051282,\n \"acc_norm_stderr\": 0.025088301454694834\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.25555555555555554,\n \"acc_stderr\": 0.026593939101844082,\n \
\ \"acc_norm\": 0.25555555555555554,\n \"acc_norm_stderr\": 0.026593939101844082\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.42436974789915966,\n \"acc_stderr\": 0.03210479051015776,\n\
\ \"acc_norm\": 0.42436974789915966,\n \"acc_norm_stderr\": 0.03210479051015776\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2980132450331126,\n \"acc_stderr\": 0.037345356767871984,\n \"\
acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.037345356767871984\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.671559633027523,\n \"acc_stderr\": 0.02013590279729841,\n \"acc_norm\"\
: 0.671559633027523,\n \"acc_norm_stderr\": 0.02013590279729841\n },\n\
\ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.3287037037037037,\n\
\ \"acc_stderr\": 0.032036140846700596,\n \"acc_norm\": 0.3287037037037037,\n\
\ \"acc_norm_stderr\": 0.032036140846700596\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.033086111132364336,\n\
\ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.033086111132364336\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.6624472573839663,\n \"acc_stderr\": 0.030781549102026226,\n \
\ \"acc_norm\": 0.6624472573839663,\n \"acc_norm_stderr\": 0.030781549102026226\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5650224215246636,\n\
\ \"acc_stderr\": 0.033272833702713445,\n \"acc_norm\": 0.5650224215246636,\n\
\ \"acc_norm_stderr\": 0.033272833702713445\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.04348208051644858,\n\
\ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.04348208051644858\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.628099173553719,\n \"acc_stderr\": 0.04412015806624504,\n \"acc_norm\"\
: 0.628099173553719,\n \"acc_norm_stderr\": 0.04412015806624504\n },\n\
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6018518518518519,\n\
\ \"acc_stderr\": 0.04732332615978813,\n \"acc_norm\": 0.6018518518518519,\n\
\ \"acc_norm_stderr\": 0.04732332615978813\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.5644171779141104,\n \"acc_stderr\": 0.03895632464138937,\n\
\ \"acc_norm\": 0.5644171779141104,\n \"acc_norm_stderr\": 0.03895632464138937\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.32142857142857145,\n\
\ \"acc_stderr\": 0.044328040552915185,\n \"acc_norm\": 0.32142857142857145,\n\
\ \"acc_norm_stderr\": 0.044328040552915185\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7222222222222222,\n\
\ \"acc_stderr\": 0.02934311479809446,\n \"acc_norm\": 0.7222222222222222,\n\
\ \"acc_norm_stderr\": 0.02934311479809446\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \
\ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
\ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
\ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.5144508670520231,\n \"acc_stderr\": 0.026907849856282542,\n\
\ \"acc_norm\": 0.5144508670520231,\n \"acc_norm_stderr\": 0.026907849856282542\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.22681564245810057,\n\
\ \"acc_stderr\": 0.014005843570897899,\n \"acc_norm\": 0.22681564245810057,\n\
\ \"acc_norm_stderr\": 0.014005843570897899\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5098039215686274,\n \"acc_stderr\": 0.028624412550167958,\n\
\ \"acc_norm\": 0.5098039215686274,\n \"acc_norm_stderr\": 0.028624412550167958\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.572347266881029,\n\
\ \"acc_stderr\": 0.028099240775809553,\n \"acc_norm\": 0.572347266881029,\n\
\ \"acc_norm_stderr\": 0.028099240775809553\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.5679012345679012,\n \"acc_stderr\": 0.02756301097160668,\n\
\ \"acc_norm\": 0.5679012345679012,\n \"acc_norm_stderr\": 0.02756301097160668\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.36879432624113473,\n \"acc_stderr\": 0.02878222756134724,\n \
\ \"acc_norm\": 0.36879432624113473,\n \"acc_norm_stderr\": 0.02878222756134724\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3500651890482399,\n\
\ \"acc_stderr\": 0.012182552313215172,\n \"acc_norm\": 0.3500651890482399,\n\
\ \"acc_norm_stderr\": 0.012182552313215172\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.4742647058823529,\n \"acc_stderr\": 0.03033257809455504,\n\
\ \"acc_norm\": 0.4742647058823529,\n \"acc_norm_stderr\": 0.03033257809455504\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.4934640522875817,\n \"acc_stderr\": 0.020226106567657807,\n \
\ \"acc_norm\": 0.4934640522875817,\n \"acc_norm_stderr\": 0.020226106567657807\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5102040816326531,\n \"acc_stderr\": 0.03200255347893782,\n\
\ \"acc_norm\": 0.5102040816326531,\n \"acc_norm_stderr\": 0.03200255347893782\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6467661691542289,\n\
\ \"acc_stderr\": 0.03379790611796777,\n \"acc_norm\": 0.6467661691542289,\n\
\ \"acc_norm_stderr\": 0.03379790611796777\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42168674698795183,\n\
\ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\
\ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.03446296217088427,\n\
\ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.03446296217088427\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29865361077111385,\n\
\ \"mc1_stderr\": 0.016021570613768545,\n \"mc2\": 0.45138129313940284,\n\
\ \"mc2_stderr\": 0.015562220951147801\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7253354380426204,\n \"acc_stderr\": 0.012544516005117187\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.17968157695223655,\n \
\ \"acc_stderr\": 0.01057511996424224\n }\n}\n```"
repo_url: https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-21.068162.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T16-40-21.068162.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- '**/details_harness|winogrande|5_2023-12-06T16-40-21.068162.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T16-40-21.068162.parquet'
- config_name: results
data_files:
- split: 2023_12_06T16_40_21.068162
path:
- results_2023-12-06T16-40-21.068162.parquet
- split: latest
path:
- results_2023-12-06T16-40-21.068162.parquet
---
# Dataset Card for Evaluation run of Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2](https://huggingface.co/Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2) 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_Korabbit__Llama-2-7b-chat-hf-afr-300step-flan-v2",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T16:40:21.068162](https://huggingface.co/datasets/open-llm-leaderboard/details_Korabbit__Llama-2-7b-chat-hf-afr-300step-flan-v2/blob/main/results_2023-12-06T16-40-21.068162.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
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},
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}
```
### 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] | [
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|
jbilcke-hf/ai-tube-ancestral-cooking | jbilcke-hf | 2023-12-07T19:08:01Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-12-06T16:57:46Z | ---
license: cc-by-nc-sa-4.0
pretty_name: Ancestral Cooking
---
## Description
It tasted better before! Come to my channel to rediscover the traditional ways of cooking 👨🍳
## Voice
Julian
## Prompt
A video channel managed by a renowed cook called "Thyme Cook" (it's a play on the words).
The videos will explain how to cook in the wild, through various recipes.
How to make a barbecue using locally source materials, with strange recipes such as cook river fishes, bear, llama etc
| [
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|
jbilcke-hf/ai-tube-miss-beasty | jbilcke-hf | 2023-12-06T20:39:14Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-12-06T17:06:03Z | ---
license: cc-by-nc-sa-4.0
pretty_name: Miss Beasty
---
## Description
I explore the past so you don't have too!
## Prompt
A channel run by an influencer and videoblogger called Miss Beasty.
She often do weird challenges like "saying yes to everyone", "walking to corss the united states", "walk in new york dressed as a chicken" to get millions of views and likes.
She also sometimes give tips and advices for make-up, beauty, dating etc.
She is also a pro gamer, enjoying games like League of Legends, Fortnite, Call of Duty, The Sims, GTA 5, Baldur's Gate 3.
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|
helvioviana/CloneHelvio | helvioviana | 2023-12-06T17:25:18Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T17:21:02Z | ---
license: openrail
---
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|
open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m-instruct | open-llm-leaderboard | 2023-12-06T17:27:14Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T17:26:22Z | ---
pretty_name: Evaluation run of AI-Sweden-Models/gpt-sw3-126m-instruct
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [AI-Sweden-Models/gpt-sw3-126m-instruct](https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m-instruct)\
\ 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_AI-Sweden-Models__gpt-sw3-126m-instruct\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T17:24:12.655083](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m-instruct/blob/main/results_2023-12-06T17-24-12.655083.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\": 0.23830785704981358,\n\
\ \"acc_stderr\": 0.030091824926520686,\n \"acc_norm\": 0.23875634303781132,\n\
\ \"acc_norm_stderr\": 0.030838942303782275,\n \"mc1\": 0.2521419828641371,\n\
\ \"mc1_stderr\": 0.015201522246299965,\n \"mc2\": 0.42647039245716606,\n\
\ \"mc2_stderr\": 0.014756647007334998\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.20392491467576793,\n \"acc_stderr\": 0.011774262478702254,\n\
\ \"acc_norm\": 0.23378839590443687,\n \"acc_norm_stderr\": 0.012368225378507144\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.28360884285998805,\n\
\ \"acc_stderr\": 0.004498280244494508,\n \"acc_norm\": 0.29884485162318264,\n\
\ \"acc_norm_stderr\": 0.004568161710399553\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \
\ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.18518518518518517,\n\
\ \"acc_stderr\": 0.03355677216313143,\n \"acc_norm\": 0.18518518518518517,\n\
\ \"acc_norm_stderr\": 0.03355677216313143\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.20394736842105263,\n \"acc_stderr\": 0.03279000406310052,\n\
\ \"acc_norm\": 0.20394736842105263,\n \"acc_norm_stderr\": 0.03279000406310052\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.22,\n\
\ \"acc_stderr\": 0.041633319989322695,\n \"acc_norm\": 0.22,\n \
\ \"acc_norm_stderr\": 0.041633319989322695\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.2339622641509434,\n \"acc_stderr\": 0.02605529690115292,\n\
\ \"acc_norm\": 0.2339622641509434,\n \"acc_norm_stderr\": 0.02605529690115292\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2222222222222222,\n\
\ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.2222222222222222,\n\
\ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.041633319989322695,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.041633319989322695\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.18,\n \"acc_stderr\": 0.038612291966536955,\n \"acc_norm\"\
: 0.18,\n \"acc_norm_stderr\": 0.038612291966536955\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.20809248554913296,\n\
\ \"acc_stderr\": 0.030952890217749895,\n \"acc_norm\": 0.20809248554913296,\n\
\ \"acc_norm_stderr\": 0.030952890217749895\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.2647058823529412,\n \"acc_stderr\": 0.043898699568087785,\n\
\ \"acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.043898699568087785\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.18,\n \"acc_stderr\": 0.03861229196653694,\n \"acc_norm\": 0.18,\n\
\ \"acc_norm_stderr\": 0.03861229196653694\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.26382978723404255,\n \"acc_stderr\": 0.02880998985410297,\n\
\ \"acc_norm\": 0.26382978723404255,\n \"acc_norm_stderr\": 0.02880998985410297\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\
\ \"acc_stderr\": 0.039994238792813365,\n \"acc_norm\": 0.23684210526315788,\n\
\ \"acc_norm_stderr\": 0.039994238792813365\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.2689655172413793,\n \"acc_stderr\": 0.03695183311650232,\n\
\ \"acc_norm\": 0.2689655172413793,\n \"acc_norm_stderr\": 0.03695183311650232\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.23809523809523808,\n \"acc_stderr\": 0.021935878081184756,\n \"\
acc_norm\": 0.23809523809523808,\n \"acc_norm_stderr\": 0.021935878081184756\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.18253968253968253,\n\
\ \"acc_stderr\": 0.034550710191021475,\n \"acc_norm\": 0.18253968253968253,\n\
\ \"acc_norm_stderr\": 0.034550710191021475\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.23548387096774193,\n\
\ \"acc_stderr\": 0.024137632429337707,\n \"acc_norm\": 0.23548387096774193,\n\
\ \"acc_norm_stderr\": 0.024137632429337707\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.1921182266009852,\n \"acc_stderr\": 0.027719315709614778,\n\
\ \"acc_norm\": 0.1921182266009852,\n \"acc_norm_stderr\": 0.027719315709614778\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \"acc_norm\"\
: 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.20606060606060606,\n \"acc_stderr\": 0.03158415324047707,\n\
\ \"acc_norm\": 0.20606060606060606,\n \"acc_norm_stderr\": 0.03158415324047707\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.20202020202020202,\n \"acc_stderr\": 0.028606204289229876,\n \"\
acc_norm\": 0.20202020202020202,\n \"acc_norm_stderr\": 0.028606204289229876\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.19689119170984457,\n \"acc_stderr\": 0.028697873971860667,\n\
\ \"acc_norm\": 0.19689119170984457,\n \"acc_norm_stderr\": 0.028697873971860667\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.20512820512820512,\n \"acc_stderr\": 0.02047323317355198,\n\
\ \"acc_norm\": 0.20512820512820512,\n \"acc_norm_stderr\": 0.02047323317355198\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.22592592592592592,\n \"acc_stderr\": 0.025497532639609542,\n \
\ \"acc_norm\": 0.22592592592592592,\n \"acc_norm_stderr\": 0.025497532639609542\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.02755361446786382,\n\
\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.02755361446786382\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\
acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.22385321100917432,\n \"acc_stderr\": 0.017871217767790236,\n \"\
acc_norm\": 0.22385321100917432,\n \"acc_norm_stderr\": 0.017871217767790236\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.28703703703703703,\n \"acc_stderr\": 0.030851992993257013,\n \"\
acc_norm\": 0.28703703703703703,\n \"acc_norm_stderr\": 0.030851992993257013\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.25,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.25,\n\
\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
: {\n \"acc\": 0.2489451476793249,\n \"acc_stderr\": 0.028146970599422644,\n\
\ \"acc_norm\": 0.2489451476793249,\n \"acc_norm_stderr\": 0.028146970599422644\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3094170403587444,\n\
\ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.3094170403587444,\n\
\ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.2595419847328244,\n \"acc_stderr\": 0.03844876139785271,\n\
\ \"acc_norm\": 0.2595419847328244,\n \"acc_norm_stderr\": 0.03844876139785271\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.24793388429752067,\n \"acc_stderr\": 0.039418975265163025,\n \"\
acc_norm\": 0.24793388429752067,\n \"acc_norm_stderr\": 0.039418975265163025\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.18518518518518517,\n\
\ \"acc_stderr\": 0.03755265865037182,\n \"acc_norm\": 0.18518518518518517,\n\
\ \"acc_norm_stderr\": 0.03755265865037182\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.2147239263803681,\n \"acc_stderr\": 0.03226219377286775,\n\
\ \"acc_norm\": 0.2147239263803681,\n \"acc_norm_stderr\": 0.03226219377286775\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
\ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
\ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.14563106796116504,\n \"acc_stderr\": 0.034926064766237906,\n\
\ \"acc_norm\": 0.14563106796116504,\n \"acc_norm_stderr\": 0.034926064766237906\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.1752136752136752,\n\
\ \"acc_stderr\": 0.024904439098918214,\n \"acc_norm\": 0.1752136752136752,\n\
\ \"acc_norm_stderr\": 0.024904439098918214\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.24393358876117496,\n\
\ \"acc_stderr\": 0.015357212665829479,\n \"acc_norm\": 0.24393358876117496,\n\
\ \"acc_norm_stderr\": 0.015357212665829479\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.23410404624277456,\n \"acc_stderr\": 0.022797110278071145,\n\
\ \"acc_norm\": 0.23410404624277456,\n \"acc_norm_stderr\": 0.022797110278071145\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\
\ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\
\ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.19934640522875818,\n \"acc_stderr\": 0.022875816993464054,\n\
\ \"acc_norm\": 0.19934640522875818,\n \"acc_norm_stderr\": 0.022875816993464054\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.19614147909967847,\n\
\ \"acc_stderr\": 0.022552447780478022,\n \"acc_norm\": 0.19614147909967847,\n\
\ \"acc_norm_stderr\": 0.022552447780478022\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.22839506172839505,\n \"acc_stderr\": 0.023358211840626267,\n\
\ \"acc_norm\": 0.22839506172839505,\n \"acc_norm_stderr\": 0.023358211840626267\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.2624113475177305,\n \"acc_stderr\": 0.02624492034984301,\n \
\ \"acc_norm\": 0.2624113475177305,\n \"acc_norm_stderr\": 0.02624492034984301\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24771838331160365,\n\
\ \"acc_stderr\": 0.011025499291443738,\n \"acc_norm\": 0.24771838331160365,\n\
\ \"acc_norm_stderr\": 0.011025499291443738\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.44485294117647056,\n \"acc_stderr\": 0.03018753206032938,\n\
\ \"acc_norm\": 0.44485294117647056,\n \"acc_norm_stderr\": 0.03018753206032938\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.26143790849673204,\n \"acc_stderr\": 0.017776947157528023,\n \
\ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.017776947157528023\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.2545454545454545,\n\
\ \"acc_stderr\": 0.04172343038705383,\n \"acc_norm\": 0.2545454545454545,\n\
\ \"acc_norm_stderr\": 0.04172343038705383\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.3020408163265306,\n \"acc_stderr\": 0.029393609319879815,\n\
\ \"acc_norm\": 0.3020408163265306,\n \"acc_norm_stderr\": 0.029393609319879815\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.23880597014925373,\n\
\ \"acc_stderr\": 0.03014777593540922,\n \"acc_norm\": 0.23880597014925373,\n\
\ \"acc_norm_stderr\": 0.03014777593540922\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.2710843373493976,\n\
\ \"acc_stderr\": 0.03460579907553027,\n \"acc_norm\": 0.2710843373493976,\n\
\ \"acc_norm_stderr\": 0.03460579907553027\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.24561403508771928,\n \"acc_stderr\": 0.033014059469872487,\n\
\ \"acc_norm\": 0.24561403508771928,\n \"acc_norm_stderr\": 0.033014059469872487\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2521419828641371,\n\
\ \"mc1_stderr\": 0.015201522246299965,\n \"mc2\": 0.42647039245716606,\n\
\ \"mc2_stderr\": 0.014756647007334998\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.48539857932123126,\n \"acc_stderr\": 0.014046492383275839\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.009855951478392721,\n \
\ \"acc_stderr\": 0.0027210765770416625\n }\n}\n```"
repo_url: https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m-instruct
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-24-12.655083.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-24-12.655083.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- '**/details_harness|winogrande|5_2023-12-06T17-24-12.655083.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T17-24-12.655083.parquet'
- config_name: results
data_files:
- split: 2023_12_06T17_24_12.655083
path:
- results_2023-12-06T17-24-12.655083.parquet
- split: latest
path:
- results_2023-12-06T17-24-12.655083.parquet
---
# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-126m-instruct
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m-instruct
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [AI-Sweden-Models/gpt-sw3-126m-instruct](https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m-instruct) 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_AI-Sweden-Models__gpt-sw3-126m-instruct",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T17:24:12.655083](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m-instruct/blob/main/results_2023-12-06T17-24-12.655083.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
{
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"acc_norm": 0.23875634303781132,
"acc_norm_stderr": 0.030838942303782275,
"mc1": 0.2521419828641371,
"mc1_stderr": 0.015201522246299965,
"mc2": 0.42647039245716606,
"mc2_stderr": 0.014756647007334998
},
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"acc_stderr": 0.011774262478702254,
"acc_norm": 0.23378839590443687,
"acc_norm_stderr": 0.012368225378507144
},
"harness|hellaswag|10": {
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"acc_stderr": 0.004498280244494508,
"acc_norm": 0.29884485162318264,
"acc_norm_stderr": 0.004568161710399553
},
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"acc_norm": 0.19,
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},
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},
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"harness|hendrycksTest-management|5": {
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"harness|hendrycksTest-marketing|5": {
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"harness|hendrycksTest-medical_genetics|5": {
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"harness|hendrycksTest-nutrition|5": {
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"harness|hendrycksTest-us_foreign_policy|5": {
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"harness|hendrycksTest-world_religions|5": {
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"harness|truthfulqa:mc|0": {
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"mc2": 0.42647039245716606,
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"harness|winogrande|5": {
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"acc_stderr": 0.014046492383275839
},
"harness|gsm8k|5": {
"acc": 0.009855951478392721,
"acc_stderr": 0.0027210765770416625
}
}
```
### 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] | [
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|
open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m | open-llm-leaderboard | 2023-12-06T17:31:00Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T17:30:16Z | ---
pretty_name: Evaluation run of AI-Sweden-Models/gpt-sw3-126m
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [AI-Sweden-Models/gpt-sw3-126m](https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m)\
\ 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_AI-Sweden-Models__gpt-sw3-126m\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T17:28:06.762179](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m/blob/main/results_2023-12-06T17-28-06.762179.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\": 0.24433730112760046,\n\
\ \"acc_stderr\": 0.030332131323388613,\n \"acc_norm\": 0.2447940412175911,\n\
\ \"acc_norm_stderr\": 0.031121048735486594,\n \"mc1\": 0.2521419828641371,\n\
\ \"mc1_stderr\": 0.015201522246299969,\n \"mc2\": 0.4403045724428587,\n\
\ \"mc2_stderr\": 0.015027412187518666\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.19283276450511946,\n \"acc_stderr\": 0.01152905546566333,\n\
\ \"acc_norm\": 0.22184300341296928,\n \"acc_norm_stderr\": 0.01214165906814789\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2786297550288787,\n\
\ \"acc_stderr\": 0.004474086489940687,\n \"acc_norm\": 0.2953594901414061,\n\
\ \"acc_norm_stderr\": 0.0045527183605131\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932268,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932268\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.1925925925925926,\n\
\ \"acc_stderr\": 0.03406542058502653,\n \"acc_norm\": 0.1925925925925926,\n\
\ \"acc_norm_stderr\": 0.03406542058502653\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.17763157894736842,\n \"acc_stderr\": 0.031103182383123398,\n\
\ \"acc_norm\": 0.17763157894736842,\n \"acc_norm_stderr\": 0.031103182383123398\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.21,\n\
\ \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.21,\n \
\ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.22264150943396227,\n \"acc_stderr\": 0.025604233470899095,\n\
\ \"acc_norm\": 0.22264150943396227,\n \"acc_norm_stderr\": 0.025604233470899095\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.20833333333333334,\n\
\ \"acc_stderr\": 0.033961162058453336,\n \"acc_norm\": 0.20833333333333334,\n\
\ \"acc_norm_stderr\": 0.033961162058453336\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036845,\n \
\ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036845\n },\n\
\ \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2023121387283237,\n\
\ \"acc_stderr\": 0.030631145539198813,\n \"acc_norm\": 0.2023121387283237,\n\
\ \"acc_norm_stderr\": 0.030631145539198813\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.24509803921568626,\n \"acc_stderr\": 0.04280105837364395,\n\
\ \"acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.04280105837364395\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.23,\n\
\ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.26382978723404255,\n \"acc_stderr\": 0.028809989854102973,\n\
\ \"acc_norm\": 0.26382978723404255,\n \"acc_norm_stderr\": 0.028809989854102973\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2543859649122807,\n\
\ \"acc_stderr\": 0.0409698513984367,\n \"acc_norm\": 0.2543859649122807,\n\
\ \"acc_norm_stderr\": 0.0409698513984367\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.22758620689655173,\n \"acc_stderr\": 0.03493950380131184,\n\
\ \"acc_norm\": 0.22758620689655173,\n \"acc_norm_stderr\": 0.03493950380131184\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.23544973544973544,\n \"acc_stderr\": 0.021851509822031715,\n \"\
acc_norm\": 0.23544973544973544,\n \"acc_norm_stderr\": 0.021851509822031715\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.23809523809523808,\n\
\ \"acc_stderr\": 0.038095238095238106,\n \"acc_norm\": 0.23809523809523808,\n\
\ \"acc_norm_stderr\": 0.038095238095238106\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.18,\n \"acc_stderr\": 0.038612291966536934,\n \
\ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.038612291966536934\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.267741935483871,\n \"acc_stderr\": 0.02518900666021238,\n \"acc_norm\"\
: 0.267741935483871,\n \"acc_norm_stderr\": 0.02518900666021238\n },\n\
\ \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\": 0.2660098522167488,\n\
\ \"acc_stderr\": 0.031089826002937523,\n \"acc_norm\": 0.2660098522167488,\n\
\ \"acc_norm_stderr\": 0.031089826002937523\n },\n \"harness|hendrycksTest-high_school_computer_science|5\"\
: {\n \"acc\": 0.2,\n \"acc_stderr\": 0.040201512610368445,\n \
\ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.040201512610368445\n \
\ },\n \"harness|hendrycksTest-high_school_european_history|5\": {\n \"\
acc\": 0.24242424242424243,\n \"acc_stderr\": 0.033464098810559534,\n \
\ \"acc_norm\": 0.24242424242424243,\n \"acc_norm_stderr\": 0.033464098810559534\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.17676767676767677,\n \"acc_stderr\": 0.027178752639044915,\n \"\
acc_norm\": 0.17676767676767677,\n \"acc_norm_stderr\": 0.027178752639044915\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.21761658031088082,\n \"acc_stderr\": 0.029778663037752954,\n\
\ \"acc_norm\": 0.21761658031088082,\n \"acc_norm_stderr\": 0.029778663037752954\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.26153846153846155,\n \"acc_stderr\": 0.02228214120420442,\n\
\ \"acc_norm\": 0.26153846153846155,\n \"acc_norm_stderr\": 0.02228214120420442\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.25555555555555554,\n \"acc_stderr\": 0.026593939101844054,\n \
\ \"acc_norm\": 0.25555555555555554,\n \"acc_norm_stderr\": 0.026593939101844054\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.24369747899159663,\n \"acc_stderr\": 0.02788682807838056,\n\
\ \"acc_norm\": 0.24369747899159663,\n \"acc_norm_stderr\": 0.02788682807838056\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.21284403669724772,\n \"acc_stderr\": 0.017549376389313694,\n \"\
acc_norm\": 0.21284403669724772,\n \"acc_norm_stderr\": 0.017549376389313694\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.3425925925925926,\n \"acc_stderr\": 0.032365852526021574,\n \"\
acc_norm\": 0.3425925925925926,\n \"acc_norm_stderr\": 0.032365852526021574\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.25,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.25,\n\
\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
: {\n \"acc\": 0.20253164556962025,\n \"acc_stderr\": 0.026160568246601453,\n\
\ \"acc_norm\": 0.20253164556962025,\n \"acc_norm_stderr\": 0.026160568246601453\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.31390134529147984,\n\
\ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.31390134529147984,\n\
\ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.2595419847328244,\n \"acc_stderr\": 0.03844876139785271,\n\
\ \"acc_norm\": 0.2595419847328244,\n \"acc_norm_stderr\": 0.03844876139785271\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.2396694214876033,\n \"acc_stderr\": 0.03896878985070417,\n \"\
acc_norm\": 0.2396694214876033,\n \"acc_norm_stderr\": 0.03896878985070417\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.23148148148148148,\n\
\ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.23148148148148148,\n\
\ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.22085889570552147,\n \"acc_stderr\": 0.03259177392742177,\n\
\ \"acc_norm\": 0.22085889570552147,\n \"acc_norm_stderr\": 0.03259177392742177\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\
\ \"acc_stderr\": 0.0432704093257873,\n \"acc_norm\": 0.29464285714285715,\n\
\ \"acc_norm_stderr\": 0.0432704093257873\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.17475728155339806,\n \"acc_stderr\": 0.037601780060266224,\n\
\ \"acc_norm\": 0.17475728155339806,\n \"acc_norm_stderr\": 0.037601780060266224\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.2863247863247863,\n\
\ \"acc_stderr\": 0.029614323690456648,\n \"acc_norm\": 0.2863247863247863,\n\
\ \"acc_norm_stderr\": 0.029614323690456648\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.23754789272030652,\n\
\ \"acc_stderr\": 0.015218733046150193,\n \"acc_norm\": 0.23754789272030652,\n\
\ \"acc_norm_stderr\": 0.015218733046150193\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.24855491329479767,\n \"acc_stderr\": 0.023267528432100174,\n\
\ \"acc_norm\": 0.24855491329479767,\n \"acc_norm_stderr\": 0.023267528432100174\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\
\ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\
\ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.21241830065359477,\n \"acc_stderr\": 0.023420375478296132,\n\
\ \"acc_norm\": 0.21241830065359477,\n \"acc_norm_stderr\": 0.023420375478296132\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.1864951768488746,\n\
\ \"acc_stderr\": 0.02212243977248077,\n \"acc_norm\": 0.1864951768488746,\n\
\ \"acc_norm_stderr\": 0.02212243977248077\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.25617283950617287,\n \"acc_stderr\": 0.0242885336377261,\n\
\ \"acc_norm\": 0.25617283950617287,\n \"acc_norm_stderr\": 0.0242885336377261\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.22695035460992907,\n \"acc_stderr\": 0.024987106365642976,\n \
\ \"acc_norm\": 0.22695035460992907,\n \"acc_norm_stderr\": 0.024987106365642976\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2438070404172099,\n\
\ \"acc_stderr\": 0.010966507972178473,\n \"acc_norm\": 0.2438070404172099,\n\
\ \"acc_norm_stderr\": 0.010966507972178473\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.030161911930767102,\n\
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.030161911930767102\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.25163398692810457,\n \"acc_stderr\": 0.017555818091322246,\n \
\ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.017555818091322246\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.21818181818181817,\n\
\ \"acc_stderr\": 0.03955932861795833,\n \"acc_norm\": 0.21818181818181817,\n\
\ \"acc_norm_stderr\": 0.03955932861795833\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.19183673469387755,\n \"acc_stderr\": 0.025206963154225395,\n\
\ \"acc_norm\": 0.19183673469387755,\n \"acc_norm_stderr\": 0.025206963154225395\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.24378109452736318,\n\
\ \"acc_stderr\": 0.03036049015401465,\n \"acc_norm\": 0.24378109452736318,\n\
\ \"acc_norm_stderr\": 0.03036049015401465\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.27710843373493976,\n\
\ \"acc_stderr\": 0.034843315926805875,\n \"acc_norm\": 0.27710843373493976,\n\
\ \"acc_norm_stderr\": 0.034843315926805875\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.3157894736842105,\n \"acc_stderr\": 0.03565079670708311,\n\
\ \"acc_norm\": 0.3157894736842105,\n \"acc_norm_stderr\": 0.03565079670708311\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2521419828641371,\n\
\ \"mc1_stderr\": 0.015201522246299969,\n \"mc2\": 0.4403045724428587,\n\
\ \"mc2_stderr\": 0.015027412187518666\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5067087608524072,\n \"acc_stderr\": 0.014051220692330356\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.000758150113722517,\n \
\ \"acc_stderr\": 0.0007581501137225266\n }\n}\n```"
repo_url: https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-28-06.762179.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-28-06.762179.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- '**/details_harness|winogrande|5_2023-12-06T17-28-06.762179.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T17-28-06.762179.parquet'
- config_name: results
data_files:
- split: 2023_12_06T17_28_06.762179
path:
- results_2023-12-06T17-28-06.762179.parquet
- split: latest
path:
- results_2023-12-06T17-28-06.762179.parquet
---
# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-126m
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [AI-Sweden-Models/gpt-sw3-126m](https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m) 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_AI-Sweden-Models__gpt-sw3-126m",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T17:28:06.762179](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m/blob/main/results_2023-12-06T17-28-06.762179.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": 0.24433730112760046,
"acc_stderr": 0.030332131323388613,
"acc_norm": 0.2447940412175911,
"acc_norm_stderr": 0.031121048735486594,
"mc1": 0.2521419828641371,
"mc1_stderr": 0.015201522246299969,
"mc2": 0.4403045724428587,
"mc2_stderr": 0.015027412187518666
},
"harness|arc:challenge|25": {
"acc": 0.19283276450511946,
"acc_stderr": 0.01152905546566333,
"acc_norm": 0.22184300341296928,
"acc_norm_stderr": 0.01214165906814789
},
"harness|hellaswag|10": {
"acc": 0.2786297550288787,
"acc_stderr": 0.004474086489940687,
"acc_norm": 0.2953594901414061,
"acc_norm_stderr": 0.0045527183605131
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.22,
"acc_stderr": 0.04163331998932268,
"acc_norm": 0.22,
"acc_norm_stderr": 0.04163331998932268
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.1925925925925926,
"acc_stderr": 0.03406542058502653,
"acc_norm": 0.1925925925925926,
"acc_norm_stderr": 0.03406542058502653
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.17763157894736842,
"acc_stderr": 0.031103182383123398,
"acc_norm": 0.17763157894736842,
"acc_norm_stderr": 0.031103182383123398
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.21,
"acc_stderr": 0.04093601807403326,
"acc_norm": 0.21,
"acc_norm_stderr": 0.04093601807403326
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.22264150943396227,
"acc_stderr": 0.025604233470899095,
"acc_norm": 0.22264150943396227,
"acc_norm_stderr": 0.025604233470899095
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.20833333333333334,
"acc_stderr": 0.033961162058453336,
"acc_norm": 0.20833333333333334,
"acc_norm_stderr": 0.033961162058453336
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.2,
"acc_stderr": 0.04020151261036845,
"acc_norm": 0.2,
"acc_norm_stderr": 0.04020151261036845
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.27,
"acc_stderr": 0.044619604333847394,
"acc_norm": 0.27,
"acc_norm_stderr": 0.044619604333847394
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.22,
"acc_stderr": 0.04163331998932269,
"acc_norm": 0.22,
"acc_norm_stderr": 0.04163331998932269
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.2023121387283237,
"acc_stderr": 0.030631145539198813,
"acc_norm": 0.2023121387283237,
"acc_norm_stderr": 0.030631145539198813
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.24509803921568626,
"acc_stderr": 0.04280105837364395,
"acc_norm": 0.24509803921568626,
"acc_norm_stderr": 0.04280105837364395
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816506,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816506
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.26382978723404255,
"acc_stderr": 0.028809989854102973,
"acc_norm": 0.26382978723404255,
"acc_norm_stderr": 0.028809989854102973
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.2543859649122807,
"acc_stderr": 0.0409698513984367,
"acc_norm": 0.2543859649122807,
"acc_norm_stderr": 0.0409698513984367
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.22758620689655173,
"acc_stderr": 0.03493950380131184,
"acc_norm": 0.22758620689655173,
"acc_norm_stderr": 0.03493950380131184
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.23544973544973544,
"acc_stderr": 0.021851509822031715,
"acc_norm": 0.23544973544973544,
"acc_norm_stderr": 0.021851509822031715
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.23809523809523808,
"acc_stderr": 0.038095238095238106,
"acc_norm": 0.23809523809523808,
"acc_norm_stderr": 0.038095238095238106
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.18,
"acc_stderr": 0.038612291966536934,
"acc_norm": 0.18,
"acc_norm_stderr": 0.038612291966536934
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.267741935483871,
"acc_stderr": 0.02518900666021238,
"acc_norm": 0.267741935483871,
"acc_norm_stderr": 0.02518900666021238
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.2660098522167488,
"acc_stderr": 0.031089826002937523,
"acc_norm": 0.2660098522167488,
"acc_norm_stderr": 0.031089826002937523
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.2,
"acc_stderr": 0.040201512610368445,
"acc_norm": 0.2,
"acc_norm_stderr": 0.040201512610368445
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.24242424242424243,
"acc_stderr": 0.033464098810559534,
"acc_norm": 0.24242424242424243,
"acc_norm_stderr": 0.033464098810559534
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.17676767676767677,
"acc_stderr": 0.027178752639044915,
"acc_norm": 0.17676767676767677,
"acc_norm_stderr": 0.027178752639044915
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.21761658031088082,
"acc_stderr": 0.029778663037752954,
"acc_norm": 0.21761658031088082,
"acc_norm_stderr": 0.029778663037752954
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.26153846153846155,
"acc_stderr": 0.02228214120420442,
"acc_norm": 0.26153846153846155,
"acc_norm_stderr": 0.02228214120420442
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.25555555555555554,
"acc_stderr": 0.026593939101844054,
"acc_norm": 0.25555555555555554,
"acc_norm_stderr": 0.026593939101844054
},
"harness|hendrycksTest-high_school_microeconomics|5": {
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}
```
### 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] | [
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|
DJFelipeBR/carlospalacio | DJFelipeBR | 2023-12-06T17:36:22Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T17:35:05Z | ---
license: openrail
---
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|
open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-356m-instruct | open-llm-leaderboard | 2023-12-06T17:44:28Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T17:43:45Z | ---
pretty_name: Evaluation run of AI-Sweden-Models/gpt-sw3-356m-instruct
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [AI-Sweden-Models/gpt-sw3-356m-instruct](https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m-instruct)\
\ 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_AI-Sweden-Models__gpt-sw3-356m-instruct\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T17:41:35.635496](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-356m-instruct/blob/main/results_2023-12-06T17-41-35.635496.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\": 0.2566151994762497,\n\
\ \"acc_stderr\": 0.030948731272392564,\n \"acc_norm\": 0.2576874821710207,\n\
\ \"acc_norm_stderr\": 0.03171291031197233,\n \"mc1\": 0.2484700122399021,\n\
\ \"mc1_stderr\": 0.015127427096520667,\n \"mc2\": 0.407425017285801,\n\
\ \"mc2_stderr\": 0.014703540024541484\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.23037542662116042,\n \"acc_stderr\": 0.01230492841874761,\n\
\ \"acc_norm\": 0.2696245733788396,\n \"acc_norm_stderr\": 0.012968040686869157\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.326229834694284,\n\
\ \"acc_stderr\": 0.004678743563766644,\n \"acc_norm\": 0.3801035650268871,\n\
\ \"acc_norm_stderr\": 0.00484419991017304\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.1925925925925926,\n\
\ \"acc_stderr\": 0.03406542058502653,\n \"acc_norm\": 0.1925925925925926,\n\
\ \"acc_norm_stderr\": 0.03406542058502653\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.15789473684210525,\n \"acc_stderr\": 0.029674167520101425,\n\
\ \"acc_norm\": 0.15789473684210525,\n \"acc_norm_stderr\": 0.029674167520101425\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.34,\n\
\ \"acc_stderr\": 0.04760952285695236,\n \"acc_norm\": 0.34,\n \
\ \"acc_norm_stderr\": 0.04760952285695236\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.2188679245283019,\n \"acc_stderr\": 0.025447863825108632,\n\
\ \"acc_norm\": 0.2188679245283019,\n \"acc_norm_stderr\": 0.025447863825108632\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2222222222222222,\n\
\ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.2222222222222222,\n\
\ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.29,\n\
\ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.24855491329479767,\n\
\ \"acc_stderr\": 0.03295304696818318,\n \"acc_norm\": 0.24855491329479767,\n\
\ \"acc_norm_stderr\": 0.03295304696818318\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\
\ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.26,\n \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\": 0.26,\n\
\ \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.2765957446808511,\n \"acc_stderr\": 0.02924188386962883,\n\
\ \"acc_norm\": 0.2765957446808511,\n \"acc_norm_stderr\": 0.02924188386962883\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\
\ \"acc_stderr\": 0.03999423879281335,\n \"acc_norm\": 0.23684210526315788,\n\
\ \"acc_norm_stderr\": 0.03999423879281335\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135302,\n\
\ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135302\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.24603174603174602,\n \"acc_stderr\": 0.02218203720294836,\n \"\
acc_norm\": 0.24603174603174602,\n \"acc_norm_stderr\": 0.02218203720294836\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.20634920634920634,\n\
\ \"acc_stderr\": 0.0361960452412425,\n \"acc_norm\": 0.20634920634920634,\n\
\ \"acc_norm_stderr\": 0.0361960452412425\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816506\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.1967741935483871,\n\
\ \"acc_stderr\": 0.022616409420742018,\n \"acc_norm\": 0.1967741935483871,\n\
\ \"acc_norm_stderr\": 0.022616409420742018\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.21182266009852216,\n \"acc_stderr\": 0.028748983689941072,\n\
\ \"acc_norm\": 0.21182266009852216,\n \"acc_norm_stderr\": 0.028748983689941072\n\
\ },\n \"harness|hendrycksTest-high_school_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-high_school_european_history|5\"\
: {\n \"acc\": 0.23030303030303031,\n \"acc_stderr\": 0.03287666758603488,\n\
\ \"acc_norm\": 0.23030303030303031,\n \"acc_norm_stderr\": 0.03287666758603488\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.1919191919191919,\n \"acc_stderr\": 0.02805779167298901,\n \"\
acc_norm\": 0.1919191919191919,\n \"acc_norm_stderr\": 0.02805779167298901\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.34196891191709844,\n \"acc_stderr\": 0.03423465100104281,\n\
\ \"acc_norm\": 0.34196891191709844,\n \"acc_norm_stderr\": 0.03423465100104281\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.3153846153846154,\n \"acc_stderr\": 0.02355964698318994,\n \
\ \"acc_norm\": 0.3153846153846154,\n \"acc_norm_stderr\": 0.02355964698318994\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.24444444444444444,\n \"acc_stderr\": 0.026202766534652148,\n \
\ \"acc_norm\": 0.24444444444444444,\n \"acc_norm_stderr\": 0.026202766534652148\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.226890756302521,\n \"acc_stderr\": 0.027205371538279472,\n \
\ \"acc_norm\": 0.226890756302521,\n \"acc_norm_stderr\": 0.027205371538279472\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.2980132450331126,\n \"acc_stderr\": 0.037345356767871984,\n \"\
acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.037345356767871984\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.23302752293577983,\n \"acc_stderr\": 0.01812566918086149,\n \"\
acc_norm\": 0.23302752293577983,\n \"acc_norm_stderr\": 0.01812566918086149\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.23148148148148148,\n \"acc_stderr\": 0.028765111718046937,\n \"\
acc_norm\": 0.23148148148148148,\n \"acc_norm_stderr\": 0.028765111718046937\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.2549019607843137,\n \"acc_stderr\": 0.030587591351604236,\n \"\
acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.030587591351604236\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.2742616033755274,\n \"acc_stderr\": 0.029041333510598035,\n \
\ \"acc_norm\": 0.2742616033755274,\n \"acc_norm_stderr\": 0.029041333510598035\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3721973094170404,\n\
\ \"acc_stderr\": 0.03244305283008731,\n \"acc_norm\": 0.3721973094170404,\n\
\ \"acc_norm_stderr\": 0.03244305283008731\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.2824427480916031,\n \"acc_stderr\": 0.03948406125768361,\n\
\ \"acc_norm\": 0.2824427480916031,\n \"acc_norm_stderr\": 0.03948406125768361\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.24793388429752067,\n \"acc_stderr\": 0.039418975265163005,\n \"\
acc_norm\": 0.24793388429752067,\n \"acc_norm_stderr\": 0.039418975265163005\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25,\n\
\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \
\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.2147239263803681,\n \"acc_stderr\": 0.03226219377286774,\n\
\ \"acc_norm\": 0.2147239263803681,\n \"acc_norm_stderr\": 0.03226219377286774\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2767857142857143,\n\
\ \"acc_stderr\": 0.042466243366976256,\n \"acc_norm\": 0.2767857142857143,\n\
\ \"acc_norm_stderr\": 0.042466243366976256\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.21359223300970873,\n \"acc_stderr\": 0.040580420156460344,\n\
\ \"acc_norm\": 0.21359223300970873,\n \"acc_norm_stderr\": 0.040580420156460344\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.2777777777777778,\n\
\ \"acc_stderr\": 0.02934311479809448,\n \"acc_norm\": 0.2777777777777778,\n\
\ \"acc_norm_stderr\": 0.02934311479809448\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.24904214559386972,\n\
\ \"acc_stderr\": 0.015464676163395965,\n \"acc_norm\": 0.24904214559386972,\n\
\ \"acc_norm_stderr\": 0.015464676163395965\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.22254335260115607,\n \"acc_stderr\": 0.02239421566194282,\n\
\ \"acc_norm\": 0.22254335260115607,\n \"acc_norm_stderr\": 0.02239421566194282\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23910614525139665,\n\
\ \"acc_stderr\": 0.014265554192331144,\n \"acc_norm\": 0.23910614525139665,\n\
\ \"acc_norm_stderr\": 0.014265554192331144\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.24836601307189543,\n \"acc_stderr\": 0.024739981355113596,\n\
\ \"acc_norm\": 0.24836601307189543,\n \"acc_norm_stderr\": 0.024739981355113596\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2315112540192926,\n\
\ \"acc_stderr\": 0.023956532766639133,\n \"acc_norm\": 0.2315112540192926,\n\
\ \"acc_norm_stderr\": 0.023956532766639133\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.02409347123262133,\n \
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.02409347123262133\n \
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"acc\"\
: 0.23049645390070922,\n \"acc_stderr\": 0.025123739226872405,\n \"\
acc_norm\": 0.23049645390070922,\n \"acc_norm_stderr\": 0.025123739226872405\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2438070404172099,\n\
\ \"acc_stderr\": 0.010966507972178475,\n \"acc_norm\": 0.2438070404172099,\n\
\ \"acc_norm_stderr\": 0.010966507972178475\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121593,\n\
\ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121593\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.25980392156862747,\n \"acc_stderr\": 0.017740899509177788,\n \
\ \"acc_norm\": 0.25980392156862747,\n \"acc_norm_stderr\": 0.017740899509177788\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.20909090909090908,\n\
\ \"acc_stderr\": 0.03895091015724136,\n \"acc_norm\": 0.20909090909090908,\n\
\ \"acc_norm_stderr\": 0.03895091015724136\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.2163265306122449,\n \"acc_stderr\": 0.026358916334904035,\n\
\ \"acc_norm\": 0.2163265306122449,\n \"acc_norm_stderr\": 0.026358916334904035\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.24875621890547264,\n\
\ \"acc_stderr\": 0.030567675938916718,\n \"acc_norm\": 0.24875621890547264,\n\
\ \"acc_norm_stderr\": 0.030567675938916718\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720685,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720685\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.2891566265060241,\n\
\ \"acc_stderr\": 0.03529486801511114,\n \"acc_norm\": 0.2891566265060241,\n\
\ \"acc_norm_stderr\": 0.03529486801511114\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.26900584795321636,\n \"acc_stderr\": 0.03401052620104089,\n\
\ \"acc_norm\": 0.26900584795321636,\n \"acc_norm_stderr\": 0.03401052620104089\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2484700122399021,\n\
\ \"mc1_stderr\": 0.015127427096520667,\n \"mc2\": 0.407425017285801,\n\
\ \"mc2_stderr\": 0.014703540024541484\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5256511444356748,\n \"acc_stderr\": 0.014033980956108555\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.017437452615617893,\n \
\ \"acc_stderr\": 0.003605486867998272\n }\n}\n```"
repo_url: https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m-instruct
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-41-35.635496.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-41-35.635496.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- '**/details_harness|winogrande|5_2023-12-06T17-41-35.635496.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T17-41-35.635496.parquet'
- config_name: results
data_files:
- split: 2023_12_06T17_41_35.635496
path:
- results_2023-12-06T17-41-35.635496.parquet
- split: latest
path:
- results_2023-12-06T17-41-35.635496.parquet
---
# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-356m-instruct
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m-instruct
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [AI-Sweden-Models/gpt-sw3-356m-instruct](https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m-instruct) 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_AI-Sweden-Models__gpt-sw3-356m-instruct",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T17:41:35.635496](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-356m-instruct/blob/main/results_2023-12-06T17-41-35.635496.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": 0.2566151994762497,
"acc_stderr": 0.030948731272392564,
"acc_norm": 0.2576874821710207,
"acc_norm_stderr": 0.03171291031197233,
"mc1": 0.2484700122399021,
"mc1_stderr": 0.015127427096520667,
"mc2": 0.407425017285801,
"mc2_stderr": 0.014703540024541484
},
"harness|arc:challenge|25": {
"acc": 0.23037542662116042,
"acc_stderr": 0.01230492841874761,
"acc_norm": 0.2696245733788396,
"acc_norm_stderr": 0.012968040686869157
},
"harness|hellaswag|10": {
"acc": 0.326229834694284,
"acc_stderr": 0.004678743563766644,
"acc_norm": 0.3801035650268871,
"acc_norm_stderr": 0.00484419991017304
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816505,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816505
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.1925925925925926,
"acc_stderr": 0.03406542058502653,
"acc_norm": 0.1925925925925926,
"acc_norm_stderr": 0.03406542058502653
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.15789473684210525,
"acc_stderr": 0.029674167520101425,
"acc_norm": 0.15789473684210525,
"acc_norm_stderr": 0.029674167520101425
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695236,
"acc_norm": 0.34,
"acc_norm_stderr": 0.04760952285695236
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.2188679245283019,
"acc_stderr": 0.025447863825108632,
"acc_norm": 0.2188679245283019,
"acc_norm_stderr": 0.025447863825108632
},
"harness|hendrycksTest-college_biology|5": {
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"acc_norm": 0.2222222222222222,
"acc_norm_stderr": 0.03476590104304134
},
"harness|hendrycksTest-college_chemistry|5": {
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"acc_stderr": 0.04408440022768078,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768078
},
"harness|hendrycksTest-college_computer_science|5": {
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"acc_stderr": 0.045604802157206845,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-college_mathematics|5": {
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"acc_norm": 0.28,
"acc_norm_stderr": 0.045126085985421276
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.24855491329479767,
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"acc_norm": 0.24855491329479767,
"acc_norm_stderr": 0.03295304696818318
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.28431372549019607,
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"acc_norm": 0.28431372549019607,
"acc_norm_stderr": 0.04488482852329017
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.26,
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"acc_norm": 0.26,
"acc_norm_stderr": 0.044084400227680794
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.2765957446808511,
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"acc_norm": 0.2765957446808511,
"acc_norm_stderr": 0.02924188386962883
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.23684210526315788,
"acc_stderr": 0.03999423879281335,
"acc_norm": 0.23684210526315788,
"acc_norm_stderr": 0.03999423879281335
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.2413793103448276,
"acc_stderr": 0.03565998174135302,
"acc_norm": 0.2413793103448276,
"acc_norm_stderr": 0.03565998174135302
},
"harness|hendrycksTest-elementary_mathematics|5": {
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"acc_norm": 0.24603174603174602,
"acc_norm_stderr": 0.02218203720294836
},
"harness|hendrycksTest-formal_logic|5": {
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"acc_norm": 0.20634920634920634,
"acc_norm_stderr": 0.0361960452412425
},
"harness|hendrycksTest-global_facts|5": {
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"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816506
},
"harness|hendrycksTest-high_school_biology|5": {
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"acc_norm": 0.1967741935483871,
"acc_norm_stderr": 0.022616409420742018
},
"harness|hendrycksTest-high_school_chemistry|5": {
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"acc_norm": 0.21182266009852216,
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},
"harness|hendrycksTest-high_school_computer_science|5": {
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},
"harness|hendrycksTest-high_school_european_history|5": {
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"harness|hendrycksTest-high_school_geography|5": {
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},
"harness|hendrycksTest-high_school_government_and_politics|5": {
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},
"harness|hendrycksTest-high_school_macroeconomics|5": {
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"acc_norm": 0.24444444444444444,
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},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.226890756302521,
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"acc_norm": 0.226890756302521,
"acc_norm_stderr": 0.027205371538279472
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.2980132450331126,
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"acc_norm": 0.2980132450331126,
"acc_norm_stderr": 0.037345356767871984
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.23302752293577983,
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"acc_norm": 0.23302752293577983,
"acc_norm_stderr": 0.01812566918086149
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.23148148148148148,
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"acc_norm": 0.23148148148148148,
"acc_norm_stderr": 0.028765111718046937
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.2549019607843137,
"acc_stderr": 0.030587591351604236,
"acc_norm": 0.2549019607843137,
"acc_norm_stderr": 0.030587591351604236
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.2742616033755274,
"acc_stderr": 0.029041333510598035,
"acc_norm": 0.2742616033755274,
"acc_norm_stderr": 0.029041333510598035
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.3721973094170404,
"acc_stderr": 0.03244305283008731,
"acc_norm": 0.3721973094170404,
"acc_norm_stderr": 0.03244305283008731
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.2824427480916031,
"acc_stderr": 0.03948406125768361,
"acc_norm": 0.2824427480916031,
"acc_norm_stderr": 0.03948406125768361
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.24793388429752067,
"acc_stderr": 0.039418975265163005,
"acc_norm": 0.24793388429752067,
"acc_norm_stderr": 0.039418975265163005
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.25,
"acc_stderr": 0.04186091791394607,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04186091791394607
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.2147239263803681,
"acc_stderr": 0.03226219377286774,
"acc_norm": 0.2147239263803681,
"acc_norm_stderr": 0.03226219377286774
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.2767857142857143,
"acc_stderr": 0.042466243366976256,
"acc_norm": 0.2767857142857143,
"acc_norm_stderr": 0.042466243366976256
},
"harness|hendrycksTest-management|5": {
"acc": 0.21359223300970873,
"acc_stderr": 0.040580420156460344,
"acc_norm": 0.21359223300970873,
"acc_norm_stderr": 0.040580420156460344
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.02934311479809448,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.02934311479809448
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.3,
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"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.24904214559386972,
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"acc_norm": 0.24904214559386972,
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},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.22254335260115607,
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"acc_norm": 0.22254335260115607,
"acc_norm_stderr": 0.02239421566194282
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.23910614525139665,
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"acc_norm": 0.23910614525139665,
"acc_norm_stderr": 0.014265554192331144
},
"harness|hendrycksTest-nutrition|5": {
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"acc_norm": 0.24836601307189543,
"acc_norm_stderr": 0.024739981355113596
},
"harness|hendrycksTest-philosophy|5": {
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"acc_norm": 0.2315112540192926,
"acc_norm_stderr": 0.023956532766639133
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"harness|hendrycksTest-prehistory|5": {
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"harness|hendrycksTest-professional_accounting|5": {
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},
"harness|hendrycksTest-professional_law|5": {
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"acc_stderr": 0.010966507972178475,
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"acc_norm_stderr": 0.010966507972178475
},
"harness|hendrycksTest-professional_medicine|5": {
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"acc_norm_stderr": 0.030211479609121593
},
"harness|hendrycksTest-professional_psychology|5": {
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},
"harness|hendrycksTest-public_relations|5": {
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"acc_norm_stderr": 0.03895091015724136
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.2163265306122449,
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"acc_norm": 0.2163265306122449,
"acc_norm_stderr": 0.026358916334904035
},
"harness|hendrycksTest-sociology|5": {
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"acc_norm": 0.24875621890547264,
"acc_norm_stderr": 0.030567675938916718
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.29,
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"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720685
},
"harness|hendrycksTest-virology|5": {
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"acc_stderr": 0.03529486801511114,
"acc_norm": 0.2891566265060241,
"acc_norm_stderr": 0.03529486801511114
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.26900584795321636,
"acc_stderr": 0.03401052620104089,
"acc_norm": 0.26900584795321636,
"acc_norm_stderr": 0.03401052620104089
},
"harness|truthfulqa:mc|0": {
"mc1": 0.2484700122399021,
"mc1_stderr": 0.015127427096520667,
"mc2": 0.407425017285801,
"mc2_stderr": 0.014703540024541484
},
"harness|winogrande|5": {
"acc": 0.5256511444356748,
"acc_stderr": 0.014033980956108555
},
"harness|gsm8k|5": {
"acc": 0.017437452615617893,
"acc_stderr": 0.003605486867998272
}
}
```
### 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] | [
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|
open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-356m | open-llm-leaderboard | 2023-12-06T17:51:51Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T17:51:07Z | ---
pretty_name: Evaluation run of AI-Sweden-Models/gpt-sw3-356m
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [AI-Sweden-Models/gpt-sw3-356m](https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m)\
\ 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_AI-Sweden-Models__gpt-sw3-356m\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-06T17:48:56.014901](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-356m/blob/main/results_2023-12-06T17-48-56.014901.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\": 0.25979396469353283,\n\
\ \"acc_stderr\": 0.030934747009693227,\n \"acc_norm\": 0.26083135270282387,\n\
\ \"acc_norm_stderr\": 0.03173400312275678,\n \"mc1\": 0.24112607099143207,\n\
\ \"mc1_stderr\": 0.014974827279752325,\n \"mc2\": 0.4254820499111399,\n\
\ \"mc2_stderr\": 0.014746028552389436\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.21245733788395904,\n \"acc_stderr\": 0.011953482906582947,\n\
\ \"acc_norm\": 0.2363481228668942,\n \"acc_norm_stderr\": 0.012414960524301836\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.3201553475403306,\n\
\ \"acc_stderr\": 0.0046558259808920175,\n \"acc_norm\": 0.37054371639115713,\n\
\ \"acc_norm_stderr\": 0.004819633668832553\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932268,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932268\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.26666666666666666,\n\
\ \"acc_stderr\": 0.03820169914517905,\n \"acc_norm\": 0.26666666666666666,\n\
\ \"acc_norm_stderr\": 0.03820169914517905\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.17763157894736842,\n \"acc_stderr\": 0.031103182383123387,\n\
\ \"acc_norm\": 0.17763157894736842,\n \"acc_norm_stderr\": 0.031103182383123387\n\
\ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\
: {\n \"acc\": 0.21132075471698114,\n \"acc_stderr\": 0.025125766484827845,\n\
\ \"acc_norm\": 0.21132075471698114,\n \"acc_norm_stderr\": 0.025125766484827845\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.22916666666666666,\n\
\ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.22916666666666666,\n\
\ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.041633319989322695,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.041633319989322695\n \
\ },\n \"harness|hendrycksTest-college_computer_science|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_mathematics|5\"\
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.23699421965317918,\n\
\ \"acc_stderr\": 0.03242414757483099,\n \"acc_norm\": 0.23699421965317918,\n\
\ \"acc_norm_stderr\": 0.03242414757483099\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
\ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\
: {\n \"acc\": 0.2978723404255319,\n \"acc_stderr\": 0.029896145682095455,\n\
\ \"acc_norm\": 0.2978723404255319,\n \"acc_norm_stderr\": 0.029896145682095455\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\": 0.2482758620689655,\n \"acc_stderr\": 0.03600105692727772,\n\
\ \"acc_norm\": 0.2482758620689655,\n \"acc_norm_stderr\": 0.03600105692727772\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.23544973544973544,\n \"acc_stderr\": 0.02185150982203172,\n \"\
acc_norm\": 0.23544973544973544,\n \"acc_norm_stderr\": 0.02185150982203172\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.19047619047619047,\n\
\ \"acc_stderr\": 0.03512207412302052,\n \"acc_norm\": 0.19047619047619047,\n\
\ \"acc_norm_stderr\": 0.03512207412302052\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.17,\n \"acc_stderr\": 0.0377525168068637,\n \
\ \"acc_norm\": 0.17,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\
\ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.2032258064516129,\n\
\ \"acc_stderr\": 0.022891687984554952,\n \"acc_norm\": 0.2032258064516129,\n\
\ \"acc_norm_stderr\": 0.022891687984554952\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.24630541871921183,\n \"acc_stderr\": 0.03031509928561773,\n\
\ \"acc_norm\": 0.24630541871921183,\n \"acc_norm_stderr\": 0.03031509928561773\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|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-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\"\
: 0.1919191919191919,\n \"acc_stderr\": 0.02805779167298901,\n \"\
acc_norm\": 0.1919191919191919,\n \"acc_norm_stderr\": 0.02805779167298901\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.3005181347150259,\n \"acc_stderr\": 0.03308818594415751,\n\
\ \"acc_norm\": 0.3005181347150259,\n \"acc_norm_stderr\": 0.03308818594415751\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.28717948717948716,\n \"acc_stderr\": 0.022939925418530616,\n\
\ \"acc_norm\": 0.28717948717948716,\n \"acc_norm_stderr\": 0.022939925418530616\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \
\ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\
\ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.32450331125827814,\n \"acc_stderr\": 0.038227469376587525,\n \"\
acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.038227469376587525\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.22568807339449543,\n \"acc_stderr\": 0.01792308766780305,\n \"\
acc_norm\": 0.22568807339449543,\n \"acc_norm_stderr\": 0.01792308766780305\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.38425925925925924,\n \"acc_stderr\": 0.03317354514310742,\n \"\
acc_norm\": 0.38425925925925924,\n \"acc_norm_stderr\": 0.03317354514310742\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.2647058823529412,\n \"acc_stderr\": 0.030964517926923393,\n \"\
acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.030964517926923393\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.27848101265822783,\n \"acc_stderr\": 0.029178682304842565,\n \
\ \"acc_norm\": 0.27848101265822783,\n \"acc_norm_stderr\": 0.029178682304842565\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3542600896860987,\n\
\ \"acc_stderr\": 0.03210062154134987,\n \"acc_norm\": 0.3542600896860987,\n\
\ \"acc_norm_stderr\": 0.03210062154134987\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.26717557251908397,\n \"acc_stderr\": 0.03880848301082396,\n\
\ \"acc_norm\": 0.26717557251908397,\n \"acc_norm_stderr\": 0.03880848301082396\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.19008264462809918,\n \"acc_stderr\": 0.03581796951709282,\n \"\
acc_norm\": 0.19008264462809918,\n \"acc_norm_stderr\": 0.03581796951709282\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.24074074074074073,\n\
\ \"acc_stderr\": 0.04133119440243839,\n \"acc_norm\": 0.24074074074074073,\n\
\ \"acc_norm_stderr\": 0.04133119440243839\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.19631901840490798,\n \"acc_stderr\": 0.031207970394709218,\n\
\ \"acc_norm\": 0.19631901840490798,\n \"acc_norm_stderr\": 0.031207970394709218\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
\ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
\ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.20388349514563106,\n \"acc_stderr\": 0.03989139859531773,\n\
\ \"acc_norm\": 0.20388349514563106,\n \"acc_norm_stderr\": 0.03989139859531773\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.2905982905982906,\n\
\ \"acc_stderr\": 0.02974504857267404,\n \"acc_norm\": 0.2905982905982906,\n\
\ \"acc_norm_stderr\": 0.02974504857267404\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.23371647509578544,\n\
\ \"acc_stderr\": 0.015133383278988841,\n \"acc_norm\": 0.23371647509578544,\n\
\ \"acc_norm_stderr\": 0.015133383278988841\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.1907514450867052,\n \"acc_stderr\": 0.021152676966575298,\n\
\ \"acc_norm\": 0.1907514450867052,\n \"acc_norm_stderr\": 0.021152676966575298\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\
\ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\
\ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.24509803921568626,\n \"acc_stderr\": 0.024630048979824768,\n\
\ \"acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.024630048979824768\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.19935691318327975,\n\
\ \"acc_stderr\": 0.022691033780549656,\n \"acc_norm\": 0.19935691318327975,\n\
\ \"acc_norm_stderr\": 0.022691033780549656\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.23148148148148148,\n \"acc_stderr\": 0.023468429832451156,\n\
\ \"acc_norm\": 0.23148148148148148,\n \"acc_norm_stderr\": 0.023468429832451156\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.29432624113475175,\n \"acc_stderr\": 0.027187127011503793,\n \
\ \"acc_norm\": 0.29432624113475175,\n \"acc_norm_stderr\": 0.027187127011503793\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24119947848761408,\n\
\ \"acc_stderr\": 0.010926496102034952,\n \"acc_norm\": 0.24119947848761408,\n\
\ \"acc_norm_stderr\": 0.010926496102034952\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121593,\n\
\ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121593\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.2549019607843137,\n \"acc_stderr\": 0.017630827375148383,\n \
\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.017630827375148383\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.21818181818181817,\n\
\ \"acc_stderr\": 0.03955932861795833,\n \"acc_norm\": 0.21818181818181817,\n\
\ \"acc_norm_stderr\": 0.03955932861795833\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.37551020408163266,\n \"acc_stderr\": 0.03100120903989484,\n\
\ \"acc_norm\": 0.37551020408163266,\n \"acc_norm_stderr\": 0.03100120903989484\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.23880597014925373,\n\
\ \"acc_stderr\": 0.03014777593540922,\n \"acc_norm\": 0.23880597014925373,\n\
\ \"acc_norm_stderr\": 0.03014777593540922\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.29518072289156627,\n\
\ \"acc_stderr\": 0.035509201856896294,\n \"acc_norm\": 0.29518072289156627,\n\
\ \"acc_norm_stderr\": 0.035509201856896294\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.32748538011695905,\n \"acc_stderr\": 0.035993357714560276,\n\
\ \"acc_norm\": 0.32748538011695905,\n \"acc_norm_stderr\": 0.035993357714560276\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.24112607099143207,\n\
\ \"mc1_stderr\": 0.014974827279752325,\n \"mc2\": 0.4254820499111399,\n\
\ \"mc2_stderr\": 0.014746028552389436\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.5303867403314917,\n \"acc_stderr\": 0.014026510839428743\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.002274450341167551,\n \
\ \"acc_stderr\": 0.0013121578148674313\n }\n}\n```"
repo_url: https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: [email protected]
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-48-56.014901.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-06T17-48-56.014901.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- '**/details_harness|winogrande|5_2023-12-06T17-48-56.014901.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-06T17-48-56.014901.parquet'
- config_name: results
data_files:
- split: 2023_12_06T17_48_56.014901
path:
- results_2023-12-06T17-48-56.014901.parquet
- split: latest
path:
- results_2023-12-06T17-48-56.014901.parquet
---
# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-356m
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m
- **Paper:**
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- **Point of Contact:** [email protected]
### Dataset Summary
Dataset automatically created during the evaluation run of model [AI-Sweden-Models/gpt-sw3-356m](https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m) 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_AI-Sweden-Models__gpt-sw3-356m",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-06T17:48:56.014901](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-356m/blob/main/results_2023-12-06T17-48-56.014901.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": 0.25979396469353283,
"acc_stderr": 0.030934747009693227,
"acc_norm": 0.26083135270282387,
"acc_norm_stderr": 0.03173400312275678,
"mc1": 0.24112607099143207,
"mc1_stderr": 0.014974827279752325,
"mc2": 0.4254820499111399,
"mc2_stderr": 0.014746028552389436
},
"harness|arc:challenge|25": {
"acc": 0.21245733788395904,
"acc_stderr": 0.011953482906582947,
"acc_norm": 0.2363481228668942,
"acc_norm_stderr": 0.012414960524301836
},
"harness|hellaswag|10": {
"acc": 0.3201553475403306,
"acc_stderr": 0.0046558259808920175,
"acc_norm": 0.37054371639115713,
"acc_norm_stderr": 0.004819633668832553
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.22,
"acc_stderr": 0.04163331998932268,
"acc_norm": 0.22,
"acc_norm_stderr": 0.04163331998932268
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.26666666666666666,
"acc_stderr": 0.03820169914517905,
"acc_norm": 0.26666666666666666,
"acc_norm_stderr": 0.03820169914517905
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.17763157894736842,
"acc_stderr": 0.031103182383123387,
"acc_norm": 0.17763157894736842,
"acc_norm_stderr": 0.031103182383123387
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814,
"acc_norm": 0.3,
"acc_norm_stderr": 0.046056618647183814
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.21132075471698114,
"acc_stderr": 0.025125766484827845,
"acc_norm": 0.21132075471698114,
"acc_norm_stderr": 0.025125766484827845
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.22916666666666666,
"acc_stderr": 0.03514697467862388,
"acc_norm": 0.22916666666666666,
"acc_norm_stderr": 0.03514697467862388
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.22,
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```
### 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] | [
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|
euswam/SuamPk | euswam | 2023-12-06T17:59:12Z | 0 | 0 | [
"license:cc-by-3.0",
"region:us"
]
| null | 2023-12-06T17:58:04Z | ---
license: cc-by-3.0
---
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|
chuckreynolds/wikimedia-enterprise-wikiquote-english | chuckreynolds | 2023-12-06T22:04:53Z | 0 | 0 | [
"task_categories:conversational",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
]
| [
"conversational"
]
| 2023-12-06T18:07:24Z | ---
license: cc-by-sa-3.0
task_categories:
- conversational
language:
- en
pretty_name: Wikimedia Enterprise Wikiquote English snapshot
---
A Wikimedia Enterprise Snapshot from December 1, 2023 of English WikiQuote project.
- Docs => https://enterprise.wikimedia.com/docs/snapshot/
- Schema => https://enterprise.wikimedia.com/docs/data-dictionary/ | [
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|
SoundSafari/Public-Domain-Music | SoundSafari | 2023-12-06T23:01:45Z | 0 | 0 | [
"license:cc0-1.0",
"region:us"
]
| null | 2023-12-06T18:14:05Z | ---
license: cc0-1.0
---
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|
FUBUKIBG/rosepronto1 | FUBUKIBG | 2023-12-06T18:44:06Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T18:43:03Z | ---
license: openrail
---
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|
Bowlen/Sullivan | Bowlen | 2023-12-06T19:32:40Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T18:51:07Z | ---
license: openrail
---
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|
bertbsb/bertespanhol | bertbsb | 2023-12-06T19:14:06Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T18:54:40Z | ---
license: openrail
---
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|
aje220/4chan-Sports-Conversations | aje220 | 2023-12-06T19:06:36Z | 0 | 0 | [
"task_categories:conversational",
"language:en",
"license:mit",
"not-for-all-audiences",
"region:us"
]
| [
"conversational"
]
| 2023-12-06T19:05:25Z | ---
license: mit
task_categories:
- conversational
language:
- en
tags:
- not-for-all-audiences
--- | [
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|
IMJONEZZ/CombinedTinyStories | IMJONEZZ | 2023-12-06T19:10:08Z | 0 | 0 | [
"license:llama2",
"region:us"
]
| null | 2023-12-06T19:10:08Z | ---
license: llama2
---
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|
m44rcus/gsplats | m44rcus | 2023-12-06T19:27:28Z | 0 | 0 | [
"license:cc-by-sa-4.0",
"region:us"
]
| null | 2023-12-06T19:19:03Z | ---
license: cc-by-sa-4.0
---
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aniketr/WikiBias20 | aniketr | 2023-12-06T20:23:20Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-12-06T20:23:20Z | ---
license: cc-by-nc-sa-4.0
---
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|
Daniel357/Lana | Daniel357 | 2023-12-06T20:31:09Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T20:28:31Z | ---
license: openrail
---
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|
nayohan/fms-bench-raw | nayohan | 2023-12-06T20:36:58Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T20:36:54Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: index
dtype: int64
- name: dataID
dtype: string
- name: relationship
dtype: string
- name: time_interval
sequence: string
- name: summary
sequence: string
- name: first_session_dialogue
sequence: string
- name: first_session_speakers
sequence: string
- name: second_session_dialogue
sequence: string
- name: second_session_speakers
sequence: string
- name: third_session_dialogue
sequence: string
- name: third_session_speakers
sequence: string
- name: fourth_session_dialogue
sequence: string
- name: fourth_session_speakers
sequence: string
- name: fifth_session_dialogue
sequence: string
- name: fifth_session_speakers
sequence: string
- name: eval_indicator
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: test
num_bytes: 661372
num_examples: 80
download_size: 352262
dataset_size: 661372
---
# Dataset Card for "fms-bench"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
nayohan/fms-bench | nayohan | 2023-12-09T21:33:32Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-06T20:49:16Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: eval_indicator
dtype: string
splits:
- name: test
num_bytes: 332339
num_examples: 80
download_size: 191705
dataset_size: 332339
---
# Dataset Card for "fms-bench"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
marcos292/ricardo | marcos292 | 2023-12-06T21:20:14Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T21:19:57Z | ---
license: openrail
---
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|
RBTL/Erotico | RBTL | 2023-12-06T22:12:06Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T21:24:39Z | ---
license: openrail
---
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|
ihaflix1/bertespanhol | ihaflix1 | 2023-12-06T21:38:38Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T21:38:09Z | ---
license: openrail
---
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|
ihaflix1/vozbertespanhol | ihaflix1 | 2023-12-06T22:11:28Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T22:10:56Z | ---
license: openrail
---
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|
VozBonita/guilherme | VozBonita | 2023-12-07T00:52:15Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-06T22:33:09Z | ---
license: openrail
---
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|
Pixelatory/AllMolGen | Pixelatory | 2023-12-07T02:08:42Z | 0 | 0 | [
"size_categories:1M<n<10M",
"chemistry",
"region:us"
]
| null | 2023-12-06T22:44:48Z | ---
tags:
- chemistry
size_categories:
- 1M<n<10M
configs:
- config_name: default
data_files: allmolgen.tar.xz
---
Downloaded using PyTDC (https://tdcommons.ai/).
Contains the unique canonicalized SMILES molecules from MOSES, ZINC-250K, and ChEMBL-29, done with RDKit.
Distribution of tokenized SMILES sequence lengths below. The following regex string was used
to split the SMILES molecule into tokens: (\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#|-|\+|\\|\/|:|~|@|\?|>>?|\*|\$|\%[0-9]{2}|[0-9])
<img src="violin_allmolgen_cano.png" width=50% height=50%>
Included in the .csv (after extracting the .tar.xz file) is a column "smi_len".
If using the same SMILES tokenization regex string as above, you can simply filter using the values in this column ("smi_len").
I'd recommend post-processing since clearly a majority of the sequences are of a much shorter length than the highest, which is above 1400 (using my regex string). | [
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|
A3r0N0TH1N/PsychicAudioASR | A3r0N0TH1N | 2023-12-07T00:24:02Z | 0 | 1 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-07T00:24:02Z | ---
license: apache-2.0
---
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|
yashraizada/yelp-open-dataset-checkin | yashraizada | 2023-12-07T00:39:45Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-07T00:38:59Z | ---
license: apache-2.0
---
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|
mitchcardoso/mitch | mitchcardoso | 2023-12-07T00:44:29Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-07T00:42:50Z | ---
license: openrail
---
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|
Zack157/burnleyv2 | Zack157 | 2023-12-07T01:39:20Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-07T01:38:37Z | ---
license: openrail
---
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|
Kingslayer5437/HDFS | Kingslayer5437 | 2023-12-07T02:22:41Z | 0 | 0 | [
"license:gpl-3.0",
"region:us"
]
| null | 2023-12-07T02:22:41Z | ---
license: gpl-3.0
---
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|
benayas/tweet_eval_llm_few_shots | benayas | 2023-12-07T02:54:39Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-07T02:54:36Z | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': negative
'1': neutral
'2': positive
- name: few_shot_1
dtype: string
- name: few_shot_3
dtype: string
splits:
- name: train
num_bytes: 67181706
num_examples: 45615
- name: test
num_bytes: 17547564
num_examples: 12284
- name: validation
num_bytes: 2949252
num_examples: 2000
download_size: 19969411
dataset_size: 87678522
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
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|
zpdsherlock/trace-text | zpdsherlock | 2023-12-08T04:59:25Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-07T03:31:44Z | ---
license: mit
---
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|
gagan3012/fin_hallucination_eval | gagan3012 | 2023-12-08T02:43:36Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-07T03:42:50Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: term
dtype: string
- name: text
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: choices
sequence: string
- name: gold
dtype: int64
- name: Correct_ans
dtype: string
splits:
- name: test
num_bytes: 2170755
num_examples: 1129
download_size: 1090986
dataset_size: 2170755
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
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|
sammyfroly/ladyoscar | sammyfroly | 2023-12-07T04:33:46Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-07T04:04:38Z | ---
license: openrail
---
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|
Phando/vcr-qa | Phando | 2023-12-08T17:35:58Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-07T04:27:08Z | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer_choices
sequence: string
- name: answer_label
dtype: int64
- name: annot_id
dtype: string
- name: image
dtype: image
splits:
- name: validation
num_bytes: 4004490514.636
num_examples: 26534
- name: train
num_bytes: 29995611389.25
num_examples: 212923
download_size: 27332369357
dataset_size: 34000101903.886
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: train
path: data/train-*
---
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|
mwitiderrick/EverythingLM | mwitiderrick | 2023-12-08T13:37:38Z | 0 | 0 | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
]
| [
"question-answering",
"text-generation"
]
| 2023-12-07T04:33:34Z | ---
language:
- en
license: mit
size_categories:
- 1K<n<10K
task_categories:
- question-answering
- text-generation
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 4817562
num_examples: 1073
download_size: 1633970
dataset_size: 4817562
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# EverythingLM
This is a version of [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3) formatted for instruction fine-tuning using the following
prompt template:
```
### Instruction:
Instruction
### Input:
Input
### Response:
``` | [
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|
nampdn-ai/mini-vncc-envi | nampdn-ai | 2023-12-07T04:54:40Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-07T04:51:37Z | ---
license: apache-2.0
---
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|
CyberHarem/suzukaze_aoba_newgame | CyberHarem | 2023-12-07T05:40:16Z | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
]
| [
"text-to-image"
]
| 2023-12-07T04:52:00Z | ---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of Suzukaze Aoba
This is the dataset of Suzukaze Aoba, containing 972 images and their tags.
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)).
| Name | Images | Download | Description |
|:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------|
| raw | 972 | [Download](dataset-raw.zip) | Raw data with meta information. |
| raw-stage3 | 2261 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. |
| raw-stage3-eyes | 2551 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. |
| 384x512 | 972 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. |
| 512x704 | 972 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. |
| 640x880 | 972 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. |
| stage3-640 | 2261 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. |
| stage3-800 | 2261 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. |
| stage3-p512-640 | 1949 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. |
| stage3-eyes-640 | 2551 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. |
| stage3-eyes-800 | 2551 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |
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|
Yunij/datasets | Yunij | 2023-12-07T06:46:15Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-07T05:04:37Z | ---
dataset_info:
features:
- name: query_id
dtype: int32
- name: answers
sequence: string
- name: passages
struct:
- name: is_selected
sequence: int32
- name: passage_text
sequence: string
- name: url
sequence: string
- name: query
dtype: string
- name: query_type
dtype: string
- name: wellFormedAnswers
sequence: 'null'
- name: ai_answers
dtype: string
- name: query_len
dtype: int64
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 22694124
num_examples: 4999
download_size: 11057267
dataset_size: 22694124
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
bitccty/scicorpus | bitccty | 2023-12-07T07:24:14Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-07T05:52:08Z | ---
license: apache-2.0
---
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|
ShuoShuoShuo/xl-gen | ShuoShuoShuo | 2023-12-07T10:36:30Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-07T05:57:06Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 11288495272.3
num_examples: 96150
download_size: 8284700494
dataset_size: 11288495272.3
---
# Dataset Card for "xl-gen"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
blattimer/ScreenEval | blattimer | 2023-12-07T07:14:55Z | 0 | 0 | [
"license:mit",
"arxiv:2310.13189",
"region:us"
]
| null | 2023-12-07T06:33:52Z | ---
license: mit
viewer: false
---
# ScreenEval
contact: Barrett Lattimer, [email protected] \
paper: [Fast and Accurate Factual Inconsistency Detection Over Long Documents](https://arxiv.org/abs/2310.13189) \
github: [scale-score](https://github.com/asappresearch/scale-score)
ScreenEval is a a novel dataset designed for factual inconsistency detection in long dialogues.
52 TV transcripts were summarized by humans, Longformer, and GPT-4, then each summary sentence was labelled for factual consistency with the source TV transcript.
Additionally, if a summary sentence was factually consistent, labellers provided relevant utterance support in the source document.
ScreenEval is the longest dialogue based dataset by tokens for factual inconsistency detection available to date.
The dialogue domain presents unique challenges such as long-distance coreference resolution and significant noise between relevant utterances.
ScreenEval is the dataset proposed in the paper "Fast and Accurate Factual Inconsistency Detection Over Long Documents" from EMNLP2023.
## Stats at a glance
- 52 TV transcripts
- \>6k tokens per TV transcript
- 624 summary sentences in total (from humans, Longformer, and GPT-4)
- Relevant utterance labels for all factually consistent summary sentences
## Arguments
The following keys can be used to access the different part of the ScreenEval dataset.
| Key | Type | Description |
| ------ | ------ | ------ |
| original_convo | List[str] | The source document that is to be summarized as a string |
| convo | List[List[str]] | The source document that is to be summarized split into a list of utterances |
| inferred_summary | List[str] | The summary sentence that is paired with the given source document |
| summary_id | List[str] | The source model for the summary sentence |
| convo_id | List[int] | The ID of the source document |
| annotated_summary | List[str] | The entire associated summary, with the focus summary sentence surrounded by `<mark><\mark>`|
| prediction_annotated_source_doc | List[str] | Raw source document |
| agreement | List[float] | Annotator agreement on summary sentence facutal inconsistency label |
| agg_label | List[bool] | Factual inconsistency label (true -> factually consistent, false -> factually inconsistent) |
| rel_utt | List[List[int]] | The indices of related utterances in the corresponding `convo` list. | [
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|
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