datasetId
stringlengths 2
117
| author
stringlengths 2
42
⌀ | last_modified
timestamp[us, tz=UTC] | downloads
int64 0
9.36M
| likes
int64 0
3.89k
| tags
list | task_categories
list | createdAt
timestamp[us, tz=UTC] | card
stringlengths 19
1.01M
| embedding
list |
|---|---|---|---|---|---|---|---|---|---|
nhantruongcse/data_craw_130k_filter | nhantruongcse | 2023-12-08T18:47:05Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-08T18:46:50Z | ---
dataset_info:
features:
- name: Content
dtype: string
- name: Summary
dtype: string
splits:
- name: train
num_bytes: 486683107
num_examples: 129892
download_size: 249010164
dataset_size: 486683107
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
ohhhchank3/VONHUYdemo | ohhhchank3 | 2023-12-09T02:22:21Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-09T02:22:18Z | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 35331137
num_examples: 40000
download_size: 20434360
dataset_size: 35331137
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
acazau/touch-rugby-rules-embeddings | acazau | 2023-12-09T13:15:24Z | 1 | 0 | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"fine-tuning",
"touch rugby",
"region:us"
]
| [
"text-generation"
]
| 2023-12-09T13:13:02Z | ---
task_categories:
- text-generation
language:
- en
tags:
- fine-tuning
- touch rugby
size_categories:
- n<1K
---
# Touch Rugby Rules Dataset (for embeddings)
train.csv is taken from the [International Touch Website](https://cdn.internationaltouch.org/public/FIT%205th%20Edition%20Rulebook.pdf)
test.csv is copy pasted from abbreviated rules on the [UK Touch website](https://www.englandtouch.org.uk/develop/coaching/the-rules/). Note that I'm bypassing the pdf to text stage.
All text is chunked to a length of 100 tokens with 50% overlap.
For educational and non-commercial use only. | [
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|
anthony-wss/librispeech_asr-audiodec_dac_16k | anthony-wss | 2023-12-09T13:23:53Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-09T13:13:11Z | ---
configs:
- config_name: default
data_files:
- split: train.clean.360
path: data/train.clean.360-*
- split: train.other.500
path: data/train.other.500-*
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: string
- name: unit
sequence:
sequence: int64
splits:
- name: train.clean.360
num_bytes: 12984026772
num_examples: 104014
- name: train.other.500
num_bytes: 17752431057
num_examples: 148688
download_size: 4787888994
dataset_size: 30736457829
---
# Dataset Card for "librispeech_asr-audiodec_dac_16k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
Gummybear05/Y_normal | Gummybear05 | 2023-12-09T16:18:05Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-09T16:09:32Z | ---
dataset_info:
features:
- name: audio
struct:
- name: array
sequence: float64
- name: path
dtype: string
- name: sample_rate
dtype: int64
- name: text
dtype: string
- name: scriptId
dtype: int64
- name: fileNm
dtype: string
- name: recrdTime
dtype: float64
- name: recrdQuality
dtype: int64
- name: recrdDt
dtype: string
- name: scriptSetNo
dtype: string
- name: recrdEnvrn
dtype: string
- name: colctUnitCode
dtype: string
- name: cityCode
dtype: string
- name: recrdUnit
dtype: string
- name: convrsThema
dtype: string
- name: gender
dtype: string
- name: recorderId
dtype: string
- name: age
dtype: int64
splits:
- name: train
num_bytes: 9454815261
num_examples: 12401
- name: test
num_bytes: 504186814
num_examples: 605
download_size: 2181835743
dataset_size: 9959002075
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
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|
Juanpablozarza292/TTS_embedded | Juanpablozarza292 | 2023-12-09T18:44:27Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-09T18:41:16Z | ---
license: mit
---
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|
vigneshgs7/Boundary_detection_Doc_2 | vigneshgs7 | 2023-12-09T19:33:05Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-09T19:32:13Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 4375553760.0
num_examples: 88
download_size: 286343850
dataset_size: 4375553760.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_3 | vigneshgs7 | 2023-12-09T20:07:45Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-09T20:06:27Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 6567269624.0
num_examples: 132
download_size: 433493682
dataset_size: 6567269624.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
nuprl/ts-multi-hole-training | nuprl | 2023-12-10T02:37:34Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T02:37:34Z | ---
dataset_info:
features:
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splits:
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num_bytes: 0.0
num_examples: 0
download_size: 8858
dataset_size: 0.0
configs:
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data_files:
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path: data/train-*
---
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|
adamjweintraut/bart-finetuned-eli5_precomputed_best_slice-512_2023-12-10_run | adamjweintraut | 2023-12-10T20:00:41Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T03:43:54Z | ---
dataset_info:
features:
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dtype: string
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splits:
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num_bytes: 15907389
num_examples: 1250
download_size: 9855757
dataset_size: 15907389
configs:
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data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_4 | vigneshgs7 | 2023-12-10T04:37:25Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T04:35:44Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 8757333932.0
num_examples: 176
download_size: 579002048
dataset_size: 8757333932.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_5 | vigneshgs7 | 2023-12-10T05:43:55Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T05:41:54Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 10946287123.0
num_examples: 220
download_size: 723327321
dataset_size: 10946287123.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
update0909/hf-stack-zyx | update0909 | 2023-12-10T05:56:32Z | 1 | 1 | [
"region:us"
]
| null | 2023-12-10T05:47:53Z | ---
dataset_info:
features:
- name: repo_id
dtype: string
- name: file_path
dtype: string
- name: content
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 114334795
num_examples: 7212
download_size: 38900746
dataset_size: 114334795
---
# Dataset Card for "hf-stack-zyx"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
vigneshgs7/Boundary_detection_Doc_6 | vigneshgs7 | 2023-12-10T06:02:38Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T06:00:12Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 13135529127.0
num_examples: 264
download_size: 867939073
dataset_size: 13135529127.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_7 | vigneshgs7 | 2023-12-10T06:24:59Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T06:21:54Z | ---
dataset_info:
features:
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dtype: string
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dtype: string
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dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 15325018761.0
num_examples: 308
download_size: 1012812048
dataset_size: 15325018761.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_8 | vigneshgs7 | 2023-12-10T06:52:38Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T06:48:47Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 17515986715.0
num_examples: 352
download_size: 1159176262
dataset_size: 17515986715.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
descartes100/Dow30_stock_prediction | descartes100 | 2023-12-10T08:04:49Z | 1 | 1 | [
"region:us"
]
| null | 2023-12-10T07:37:36Z | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: answer
dtype: string
- name: period
dtype: string
- name: label
dtype: string
- name: symbol
dtype: string
splits:
- name: train
num_bytes: 3127735
num_examples: 480
- name: test
num_bytes: 797367
num_examples: 120
download_size: 1523163
dataset_size: 3925102
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dow30 Stock Prediction Dataset
## Overview
Welcome to the Dow30 Stock Prediction dataset! This dataset is designed to assist in predicting stock returns for companies in the Dow Jones Industrial Average (Dow30). It includes essential information about each company, such as news from the last two weeks, basic financial data, and stock prices over the same period.
## Dataset Structure
The dataset consists of the following columns:
1. **prompt:** Information about the company, including news from the last two weeks, basic financial data, and stock prices for the same period. The system prompt is generated using the code provided in the [FinGPT_Forecaster](https://github.com/AI4Finance-Foundation/FinGPT/blob/master/fingpt/FinGPT_Forecaster/prepare_data.ipynb) repository.
2. **answer:** Stock return predictions generated by ChatGPT.
3. **period:** Time period of the data, recorded on a weekly basis.
4. **label:** Indicates whether the stock is predicted to go up or down, along with the percentage change.
5. **symbol:** Stock symbol representing the company in the Dow Jones Industrial Average.
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|
vigneshgs7/Boundary_detection_Doc_10 | vigneshgs7 | 2023-12-10T09:34:28Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T09:29:22Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 21889683441.0
num_examples: 440
download_size: 1443523097
dataset_size: 21889683441.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_11 | vigneshgs7 | 2023-12-10T10:10:16Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T10:05:49Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 24078208445.0
num_examples: 484
download_size: 1587392343
dataset_size: 24078208445.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_12 | vigneshgs7 | 2023-12-10T10:38:19Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T10:33:29Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 26266423085.0
num_examples: 528
download_size: 1730999202
dataset_size: 26266423085.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_13 | vigneshgs7 | 2023-12-10T11:05:42Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T10:58:56Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 28453511417.0
num_examples: 572
download_size: 1873465488
dataset_size: 28453511417.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
marmofayezi/TediGAN | marmofayezi | 2023-12-10T11:01:06Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T10:59:47Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: caption
dtype: string
- name: generated_image
dtype: image
splits:
- name: train
num_bytes: 177436812.274
num_examples: 1498
download_size: 177385595
dataset_size: 177436812.274
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
vigneshgs7/Boundary_detection_Doc_14 | vigneshgs7 | 2023-12-10T11:31:36Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T11:24:30Z | ---
dataset_info:
features:
- name: name
dtype: string
- name: uuid
dtype: string
- name: status
dtype: string
- name: image
dtype: image
- name: label.annotations
list:
- name: id
dtype: int32
- name: category_id
dtype: int32
- name: label.segmentation_bitmap
dtype: image
splits:
- name: train
num_bytes: 30642566096.0
num_examples: 616
download_size: 2017849242
dataset_size: 30642566096.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
anindya64/hardhat | anindya64 | 2023-12-10T18:59:46Z | 1 | 0 | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"language:en",
"license:cc0-1.0",
"construction",
"safety",
"helmet",
"region:us"
]
| [
"object-detection"
]
| 2023-12-10T18:12:57Z | ---
language:
- en
license: cc0-1.0
size_categories:
- 1K<n<10K
task_categories:
- object-detection
pretty_name: hardhat
tags:
- construction
- safety
- helmet
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: objects
struct:
- name: image_id
dtype: int64
- name: width
dtype: int64
- name: height
dtype: int64
- name: objects
struct:
- name: id
sequence: int64
- name: area
sequence: float64
- name: bbox
sequence:
sequence: float64
- name: category
sequence: string
splits:
- name: train
num_bytes: 207310502.085
num_examples: 5297
- name: test
num_bytes: 67741175.806
num_examples: 1766
download_size: 266895328
dataset_size: 275051677.89100003
---
# HardHat Dataset
> The Hard Hat dataset is an object detection dataset of workers in workplace settings that require a hard hat. Annotations also include examples of just "person" and "head," for when an individual may be present without a hard hart.
The original dataset provided by [Northeastern University - China](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/7CBGOS) and has a 75/25 train-test split.
Annotations include bounding boxes which includes the following classes:
1. perso
2. head
3. helmet
## Dataset Usage
To use this dataset you have to write the following code:
```python
from datasets import load_dataset
hardhat_dataset = load_dataset('anindya64/hardhat')
```
## Dataset license
This dataset comes under the [cc0-1.0](https://creativecommons.org/publicdomain/zero/1.0/) license.
## Citation
```
@article{,
title={Hardhat},
author={Xie, Liangbin (Northestern University, China)},
journal={},
year={2019},
url={https://orcid.org/0000-0002-9143-6322,
doi={doi:10.7910/DVN/7CBGOS}
}
``` | [
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|
Asude/asude-imdb-tr-son | Asude | 2023-12-10T18:58:49Z | 1 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-10T18:58:29Z | ---
license: mit
---
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|
Erynan/4_ethics_1000 | Erynan | 2023-12-10T19:14:23Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T19:14:21Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 891497
num_examples: 1000
download_size: 165483
dataset_size: 891497
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Erynan/4_ethics_1 | Erynan | 2023-12-10T19:25:25Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T19:25:21Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 12144432
num_examples: 13629
download_size: 2257567
dataset_size: 12144432
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
dputilov/topshadowmidaslarge | dputilov | 2023-12-10T21:25:50Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T21:25:01Z | ---
dataset_info:
features:
- name: image
dtype: image
- name: conditioning_image
dtype: image
- name: mask
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 654916193.915
num_examples: 2165
download_size: 656546563
dataset_size: 654916193.915
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "topshadowmidaslarge"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
kpriyanshu256/semeval-task-8-a-mono-v2-test-paraphrase-mistral-7b | kpriyanshu256 | 2023-12-10T21:47:25Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T21:47:23Z | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
- name: model
dtype: string
- name: source
dtype: string
- name: id
dtype: int64
- name: paraphrase
dtype: string
- name: mistral-7b_estimated_loss
dtype: float64
- name: mistral-7b_mean_lowest25
dtype: float64
- name: mistral-7b_mean_highest25
dtype: float64
- name: mistral-7b_max
dtype: float64
- name: mistral-7b_min
dtype: float64
- name: mistral-7b_range
dtype: float64
- name: mistral-7b_mean
dtype: float64
- name: mistral-7b_std
dtype: float64
- name: mistral-7b_entropy
dtype: float64
- name: mistral-7b_kurtosis
dtype: float64
- name: mistral-7b_skewness
dtype: float64
- name: mistral-7b_perplexity
dtype: float64
splits:
- name: test
num_bytes: 18057049
num_examples: 5000
download_size: 10618693
dataset_size: 18057049
---
# Dataset Card for "semeval-task-8-a-mono-v2-test-paraphrase-mistral-7b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
cassanof/python-funcs | cassanof | 2023-12-10T22:36:50Z | 1 | 0 | [
"region:us"
]
| null | 2023-12-10T22:36:47Z | ---
dataset_info:
features:
- name: content
dtype: string
splits:
- name: train
num_bytes: 72043715
num_examples: 157767
download_size: 36995463
dataset_size: 72043715
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
Ryan1122/multiturn_cn_18k | Ryan1122 | 2023-12-07T04:12:02Z | 0 | 0 | [
"task_categories:conversational",
"size_categories:10K<n<100K",
"language:zh",
"license:cc-by-nc-4.0",
"multiturn",
"self-instruct",
"CN",
"region:us"
]
| [
"conversational"
]
| 2023-05-16T12:28:53Z | ---
task_categories:
- conversational
language:
- zh
tags:
- multiturn
- self-instruct
- CN
size_categories:
- 10K<n<100K
license: cc-by-nc-4.0
---
# Dataset Card for Dataset Name
Will update soon! | [
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|
torchgeo/usavars | torchgeo | 2023-12-07T15:16:30Z | 0 | 0 | [
"size_categories:10K<n<100K",
"license:cc-by-4.0",
"region:us"
]
| null | 2023-06-28T14:50:52Z | ---
license: cc-by-4.0
size_categories:
- 10K<n<100K
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|
v2ray/jannie-log | v2ray | 2023-12-08T16:53:48Z | 0 | 9 | [
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"not-for-all-audiences",
"region:us"
]
| [
"conversational"
]
| 2023-07-27T06:53:26Z | ---
license: mit
task_categories:
- conversational
language:
- en
tags:
- not-for-all-audiences
size_categories:
- 100K<n<1M
---
# Jannie Log
From moxxie proxy.
Not formatted version: [Click Me](https://drive.google.com/drive/folders/1HZtPe0j7PmNnaFcJtFfXxqFDUK_URqkf?usp=sharing) | [
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|
FreedomIntelligence/Evol-Instruct-Arabic-GPT4 | FreedomIntelligence | 2023-12-06T03:54:06Z | 0 | 0 | [
"task_categories:conversational",
"task_categories:text2text-generation",
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:ar",
"license:apache-2.0",
"arxiv:2309.12053",
"arxiv:2304.10453",
"region:us"
]
| [
"conversational",
"text2text-generation",
"text-generation"
]
| 2023-09-06T02:03:04Z | ---
license: apache-2.0
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 169019459
num_examples: 69997
download_size: 0
dataset_size: 169019459
language:
- ar
task_categories:
- conversational
- text2text-generation
- text-generation
size_categories:
- 10M<n<100M
---
The dataset is created by
1. translating English questions of [Evol-instruct-70k](https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_70k) into Arabic using **GPT4**, and
2. requesting **GPT4** to generate responses in Arabic.
For more details, please refer to:
- **Repository**:
- https://github.com/FreedomIntelligence/AceGPT
- https://github.com/FreedomIntelligence/LLMZoo
- **Paper**:
- [AceGPT, Localizing Large Language Models in Arabic](https://arxiv.org/abs/2309.12053)
- [Phoenix: Democratizing ChatGPT across Languages](https://arxiv.org/abs/2304.10453)
### BibTeX entry and citation info
```bibtex
@article{huang2023acegpt,
title={AceGPT, Localizing Large Language Models in Arabic},
author={Huang, Huang and Yu, Fei and Zhu, Jianqing and Sun, Xuening and Cheng, Hao and Song, Dingjie and Chen, Zhihong and Alharthi, Abdulmohsen and An, Bang and Liu, Ziche and others},
journal={arXiv preprint arXiv:2309.12053},
year={2023}
}
@article{chen2023phoenix,
title={Phoenix: Democratizing chatgpt across languages},
author={Chen, Zhihong and Jiang, Feng and Chen, Junying and Wang, Tiannan and Yu, Fei and Chen, Guiming and Zhang, Hongbo and Liang, Juhao and Zhang, Chen and Zhang, Zhiyi and others},
journal={arXiv preprint arXiv:2304.10453},
year={2023}
}
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|
Tngarg/French_of | Tngarg | 2023-12-08T18:20:50Z | 0 | 0 | [
"region:us"
]
| null | 2023-10-16T11:21:59Z | ---
dataset_info:
features:
- name: content
dtype: string
- name: sentiment
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 7575579
num_examples: 69913
download_size: 5175374
dataset_size: 7575579
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "slovene_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
MaxYuki/daiki | MaxYuki | 2023-12-08T18:38:58Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-10-22T14:14:47Z | ---
license: openrail
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|
AeraX-Valley/BMA_Fondue_Images | AeraX-Valley | 2023-12-07T11:04:28Z | 0 | 1 | [
"language:th",
"language:en",
"license:apache-2.0",
"region:us"
]
| null | 2023-10-26T06:40:00Z | ---
license: apache-2.0
language:
- th
- en
pretty_name: s
---
# Bangkok Metropolitan Urban Issue Image (Traffy Fondue Issue Buckets)
BMA_Fondue_Image Dataset is an original raw dataset without frame labels.
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|
mikehemberger/quest-under-capricorn | mikehemberger | 2023-12-06T17:22:54Z | 0 | 0 | [
"region:us"
]
| null | 2023-11-04T15:16:50Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': quest-under-capricorn-s01-e01-the-desert-gods
'1': quest-under-capricorn-s01-e02-hermits-of-borroloola
'2': quest-under-capricorn-s01-e03-buffalo,-geese-and-men
'3': quest-under-capricorn-s01-e04-the-artists-of-arnhem-land
'4': quest-under-capricorn-s01-e05-bush-walkabout
'5': quest-under-capricorn-s01-e06-the-first-australians
- name: file_name
dtype: string
- name: show_name
dtype: string
- name: relative_path
dtype: string
splits:
- name: train
num_bytes: 269324911.0
num_examples: 21207
download_size: 266520230
dataset_size: 269324911.0
---
# Dataset Card for "quest-under-capricorn"
TODO: upload blip2 captions
update readme with tSNE
UPDATE README
change to darc-ai-quc
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
arhamk/HTML-correction-examples | arhamk | 2023-12-08T16:42:46Z | 0 | 0 | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"license:mit",
"code",
"region:us"
]
| [
"text-classification"
]
| 2023-11-10T16:23:15Z | ---
license: mit
task_categories:
- text-classification
tags:
- code
size_categories:
- 1K<n<10K
--- | [
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|
turkish-nlp-suite/Havadis | turkish-nlp-suite | 2023-12-07T18:00:54Z | 0 | 1 | [
"task_categories:text-generation",
"task_categories:summarization",
"task_categories:fill-mask",
"size_categories:100K<n<1M",
"language:tr",
"license:cc-by-sa-4.0",
"newspaper",
"region:us"
]
| [
"text-generation",
"summarization",
"fill-mask"
]
| 2023-11-12T15:36:02Z | ---
license: cc-by-sa-4.0
task_categories:
- text-generation
- summarization
- fill-mask
language:
- tr
tags:
- newspaper
pretty_name: Havadis
size_categories:
- 100K<n<1M
--- | [
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|
augmxnt/shisa-pretrain-en-ja-v1 | augmxnt | 2023-12-05T20:08:51Z | 0 | 0 | [
"language:ja",
"language:en",
"license:odc-by",
"region:us"
]
| null | 2023-11-19T09:48:04Z | ---
license: odc-by
language:
- ja
- en
---
This pre-training dataset was created for [shisa-base-7b-v1](https://huggingface.co/datasets/augmxnt/shisa-pretrain-en-ja-v1).
It is primarily composed of a DSIR sampling of [MADLAD-400](https://huggingface.co/datasets/allenai/MADLAD-400) JA/EN tokens in a 90%/10% ratio. | [
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|
Nekochu/discord-unstable-diffusion-SD-prompts | Nekochu | 2023-12-06T02:02:33Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-11-22T13:39:36Z | ---
license: apache-2.0
---
## Dataset Description
List of SD prompt in alpaca format from the discord server mostly from "Unstable Diffusion", include "Umi AI, Aitrepreneur, Softology"
#### Data Collection and Processing
Dataset creation [november 2023] and tools:
- DiscordChatExporter to bulk download and keep only prompt image with metadata to "output" and channel name as "input".
- Captioning used for "instruction": ViT-L-14/openai (pharmapsychotic/clip-interrogator-ext), else spacy summarizer
- Kainet Editor and my (test) script [scrapt](https://pastebin.com/w8qPjjiL), [format](https://pastebin.com/gGmDrmjX)[_](https://pastebin.com/VtG9LSuG), [dedup](https://pastebin.com/zZWaH4V3) for misc replace. | [
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|
OpenNLPLab/FAVDBench | OpenNLPLab | 2023-12-06T11:56:08Z | 0 | 1 | [
"size_categories:10K<n<100K",
"language:en",
"language:zh",
"license:apache-2.0",
"FAVD",
"FAVDBench",
"Video Description",
"Audio Description",
"Audible Video Description",
"Fine-grained Description",
"arxiv:2303.15616",
"region:us"
]
| null | 2023-11-24T10:53:16Z | ---
license: apache-2.0
language:
- en
- zh
tags:
- FAVD
- FAVDBench
- Video Description
- Audio Description
- Audible Video Description
- Fine-grained Description
size_categories:
- 10K<n<100K
---
<div align="center">
<h1>
FAVDBench: Fine-grained Audible Video Description
</h1>
</div>
<p align="center">
🤗 <a href="https://huggingface.co/datasets/OpenNLPLab/FAVDBench" target="_blank">Hugging Face</a> •
🏠 <a href="https://github.com/OpenNLPLab/FAVDBench" target="_blank">GitHub</a> •
🤖 <a href="https://openxlab.org.cn/datasets/OpenNLPLab/FAVDBench" target="_blank">OpenDataLab</a> •
💬 <a href="https://forms.gle/5S3DWpBaV1UVczkf8" target="_blank">Apply Dataset</a>
</p>
[[`CVPR2023`]](https://openaccess.thecvf.com/content/CVPR2023/html/Shen_Fine-Grained_Audible_Video_Description_CVPR_2023_paper.html) [[`Project Page`]](http://www.avlbench.opennlplab.cn/papers/favd) [[`arXiv`]](https://arxiv.org/abs/2303.15616) [[`Demo`]](https://www.youtube.com/watch?v=iWJvTB-bTWk&ab_channel=OpenNLPLab)[[`BibTex`]](#Citation) [[`中文简介`]](https://mp.weixin.qq.com/s/_M57ZuOHH0UdwB6i9osqOA)
- [Introduction 简介](#introduction-简介)
- [Files 文件](#files-文件)
- [MD5 checksum](#md5-checksum)
- [Updates](#updates)
- [License](#license)
- [Citation](#citation)
## Introduction 简介
在CVPR2023中我们提出了精细化音视频描述任务（Fine-grained Audible Video Description, FAVD）该任务旨在提供有关可听视频的详细文本描述，包括每个对象的外观和空间位置、移动对象的动作以及视频中的声音。我们同是也为社区贡献了第一个精细化音视频描述数据集FAVDBench。对于每个视频片段，我们不仅提供一句话的视频概要，还提供4-6句描述视频的视觉细节和1-2个音频相关描述，且所有的标注都有中英文双语。
At CVPR2023, we introduced the task of Fine-grained Audible Video Description (FAVD). This task aims to provide detailed textual descriptions of audible videos, including the appearance and spatial positions of each object, the actions of moving objects, and the sounds within the video. Additionally, we contributed the first fine-grained audible video description dataset, FAVDBench, to the community. For each video segment, we offer not only a single-sentence video summary but also 4-6 sentences describing the visual details of the video and 1-2 audio-related descriptions, all annotated in both Chinese and English.
## Files 文件
* `meta`: metadata for raw videos
* `train`, `val`, `test`: train, val, test split
* `ytid`: youtube id
* `start`: vid segments starting time in seconds
* `end`: vid segments ending time in seconds
* `videos` , `audios` : raw video and audio segments
* `train` : train split
* `val`: validation split
* `test`: test split
* **📢📢📢 Please refer to [Apply Dataset](https://forms.gle/5S3DWpBaV1UVczkf8) to get raw video/audio data**
* `annotations_en.json` : annotated descirptions in English
* `id`: unique data (video segment) id
* `description`: audio-visual descriptioins
* `annotations_en.json` : annotated descirptions in Chinese
* `id`: unique data (video segment) id
* `cap`, `des`: audio-visual descriptioins
* `dcount`: count of descriptions
* `experiments`: expiermental files to replicate the results outlined in the paper.
* **📢📢📢 Please refer to [GitHub Repo](https://github.com/OpenNLPLab/FAVDBench) to get related data**
## MD5 checksum
| file | md5sum |
| :-------------------------: | :------------------------------: |
| `videos/train.zip` | 41ddad46ffac339cb0b65dffc02eda65 |
| `videos/val.zip` | 35291ad23944d67212c6e47b4cc6d619 |
| `videos/test.zip` | 07046d205837d2e3b1f65549fc1bc4d7 |
| `audios/train.zip` | 50cc83eebd84f85e9b86bbd2a7517f3f |
| `audios/val.zip` | 73995c5d1fcef269cc90be8a8ef6d917 |
| `audios/test.zip` | f72085feab6ca36060a0a073b31e8acc |
## Updates
**Latest Version: Jan 9, 2023. Public V0.1**
1. v0.1 <Jan 9, 2023>: initial publication
## License
The community usage of FAVDBench model & code requires adherence to [Apache 2.0](https://github.com/OpenNLPLab/FAVDBench/blob/main/LICENSE). The FAVDBench model & code supports commercial use.
## Citation
If you use FAVD or FAVDBench in your research, please use the following BibTeX entry.
```
@InProceedings{Shen_2023_CVPR,
author = {Shen, Xuyang and Li, Dong and Zhou, Jinxing and Qin, Zhen and He, Bowen and Han, Xiaodong and Li, Aixuan and Dai, Yuchao and Kong, Lingpeng and Wang, Meng and Qiao, Yu and Zhong, Yiran},
title = {Fine-Grained Audible Video Description},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2023},
pages = {10585-10596}
}
``` | [
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|
brando/Coq-Gym-Data-Set | brando | 2023-12-05T06:09:09Z | 0 | 1 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-11-24T19:41:52Z | ---
license: apache-2.0
dataset_info:
features:
- name: relevant_lemmas
sequence: string
- name: prev_tactics
sequence: string
- name: context
struct:
- name: bg_goals
list:
- name: goal
dtype: string
- name: hypotheses
sequence: string
- name: fg_goals
list:
- name: goal
dtype: string
- name: hypotheses
sequence: string
- name: given_up_goals
list:
- name: goal
dtype: string
- name: hypotheses
sequence: string
- name: shelved_goals
list:
- name: goal
dtype: string
- name: hypotheses
sequence: string
- name: tactic
dtype: string
splits:
- name: test
num_bytes: 4006839384
num_examples: 363042
download_size: 27586028
dataset_size: 4006839384
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
## Proverbot Scrapes
Here we include a dump of proofs in coq-gym using the proverbot9001 tool. | [
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|
Vinnyh589/PersonagensJogos | Vinnyh589 | 2023-12-09T02:32:29Z | 0 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-11-24T19:54:07Z | ---
license: unknown
---
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|
jbilcke-hf/ai-tube-latent-sports | jbilcke-hf | 2023-12-09T17:18:58Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-11-27T12:22:40Z | ---
license: cc-by-nc-sa-4.0
pretty_name: Latent Sports
---
## Description
A magazine dedicated to the best latent sport competitions!
## Voice
Julian
## Model
SVD
## Prompt
A video channel showing all kind of funny, imaginary sports.
The fictious sports should take inspiration from various elements of current common or uncommon olympic sports or not (like polo, soccer, football, curling, natation etc),
but blended into a goofy mix. For instance sports could include vacuuming, silence keeping,
10-D chess, philosophical arguing and argumentation etc. | [
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|
jbilcke-hf/ai-tube-the-artificial-tutor | jbilcke-hf | 2023-12-07T19:07:46Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-11-27T12:25:14Z | ---
license: cc-by-nc-sa-4.0
pretty_name: The Artificial Tutor
---
## Description
Proud robot and cat dad, I make educative videos about science 👨🔬
## Tags
- Education
## Voice
Julian
## Prompt
A video channel managed by a robot called Archimedes.
The videos are educative videos, explaining how various scientific topics, phenomena work.
It also produces some tutorials about various things, from programming to cooking.
It talks about engineering, constructions, architecture, chemistry, computers, radiactivity, energy production etc (basically anything).
The videos should be short and entertaining. | [
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|
Abcdefghijklmnopqrstuvwxyz12/GIDLE | Abcdefghijklmnopqrstuvwxyz12 | 2023-12-05T19:52:28Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-11-29T20:29:18Z | ---
license: apache-2.0
---
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|
morph-labs/MiniMuSiQue | morph-labs | 2023-12-05T21:14:24Z | 0 | 5 | [
"language:en",
"license:apache-2.0",
"arxiv:2108.00573",
"region:us"
]
| null | 2023-11-30T19:05:12Z | ---
language:
- en
license: apache-2.0
---
# MiniMuSiQue by Morph Labs
**https://morph.so/blog/self-teaching/**
We describe two evaluation datasets that we have derived from the MuSiQue multi-hop question-answering dataset, called MiniMuSiQue-hard (filtered for questions answerable by GPT-4 but not GPT-3.5, where performance significantly degrades if the first pivot document is removed) and MiniMuSiQue-easy (a larger dataset of convoluted off-distribution single-hop question-answer pairs).
## Table of Contents
1. **<a href="https://huggingface.co/morph-labs/MiniMuSiQue#dataset-description" target="_blank">Dataset Description</a>**
2. **<a href="https://huggingface.co/morph-labs/MiniMuSiQue#uses" target="_blank">Uses</a>**
3. **<a href="https://huggingface.co/morph-labs/MiniMuSiQue#contact" target="_blank">Contact</a>**
4. **<a href="https://huggingface.co/morph-labs/MiniMuSiQue#blogpost-and-citation" target="_blank">Blogpost and Citation</a>**
### Dataset Description
We refined the MuSiQue dataset to focus on questions that demand complex multi-hop reasoning, by selecting questions which (1) GPT-4 could answer but GPT-3.5 could not, and which (2) were not answerable without the context relevant to the first reasoning step (the "first hop pivot document") for each question. Specifically, we selected 768 random examples from the MuSiQue training set, ranked them based on a combined score of difficulty (measured by the difference in ROUGE-L recall between GPT-4 and GPT-3.5) and the necessity for multi-hop reasoning (assessed by the change in ROUGE-L recall when the first hop pivot document was removed). We refer to the top-ranked 128 examples as MiniMuSiQue, and obtain MiniMuSiQue-hard by associating the original difficult MuSiQue multi-hop question-answer pair to each example. To additionally test off-distribution single-hop factual recall, for each example we synthesized convoluted off-distribution single-hop question-answer pairs for up to five entities per document in MiniMuSiQue, resulting in the much larger single-hop dataset MiniMuSiQue-easy. Each MiniMuSiQue example consists of twenty documents sampled from different Wikipedia articles, to which we associate a hard MuSiQue multi-hop reasoning question for MiniMuSiQue, and many single-hop questions for MiniMuSiQue-easy.
- **Developed by:** **<a href="https://www.morph.so" target="_blank">Morph Labs</a>**
- **Refined from:** **<a href="https://arxiv.org/abs/2108.00573" target="_blank">MuSiQue</a>**
- **Language(s):** English
- **License:** **<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">Apache 2.0</a>**
## Uses
A particularly challenging form of question for models historically has been multi-hop questions, which require a series of interconnected reasoning steps over multiple documents. However, creating multi-hop questions that truly necessitate knowledge-based reasoning is challenging. For instance, early benchmarks like HotpotQA were found to be largely solvable through shortcuts. The construction of questions and corresponding contexts that avoid such shortcuts, and verifying their effectiveness, requires a comprehensive dataset development process. The MuSiQue dataset addresses many weaknesses of prior work and contains difficult multi-hop questions less susceptible to shortcuts. We derive MiniMuSiQue from the original MuSiQue to better assess model capabilities to answer multi-hop questions that truly necessitate knowledge-based reasoning.
## Contact
[email protected]
## Blogpost and Citation
**https://morph.so/blog/self-teaching/**
@misc{MiniMuSiQue,
title={MiniMuSiQue},
author={Morph Labs, Jesse Michael Han, Eric Yu, Bentley Long, Pranav Mital, Brando Miranda},
year={2023}} | [
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|
ArchitRastogi/united_states_code | ArchitRastogi | 2023-12-05T23:27:58Z | 0 | 0 | [
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"legal",
"region:us"
]
| null | 2023-11-30T23:21:46Z | ---
license: apache-2.0
language:
- en
tags:
- legal
size_categories:
- 100K<n<1M
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|
emon-j/common_voice_13_0_hi_pseudo_labelled | emon-j | 2023-12-08T02:01:33Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-01T05:08:15Z | ---
dataset_info:
config_name: hi
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
- name: variant
dtype: string
- name: whisper_transcript
dtype: string
splits:
- name: train
num_bytes: 130512186.934
num_examples: 4479
- name: validation
num_bytes: 65845875.935
num_examples: 2281
download_size: 178147521
dataset_size: 196358062.86900002
configs:
- config_name: hi
data_files:
- split: train
path: hi/train-*
- split: validation
path: hi/validation-*
---
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|
AIFEG/BenchLMM | AIFEG | 2023-12-06T18:02:22Z | 0 | 2 | [
"task_categories:visual-question-answering",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"arxiv:2312.02896",
"region:us"
]
| [
"visual-question-answering"
]
| 2023-12-02T12:15:36Z | ---
license: apache-2.0
task_categories:
- visual-question-answering
language:
- en
pretty_name: BenchLMM
size_categories:
- n<1K
---
# Dataset Card for BenchLMM
BenchLMM is a benchmarking dataset focusing on the cross-style visual capability of large multimodal models. It evaluates these models' performance in various visual contexts.
## Dataset Details
### Dataset Description
- **Curated by:** Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Xing Luo, Chenyu Yi, and Alex Kot.
- **Funded by :** Supported in part by the Rapid-Rich Object Search (ROSE) Lab of Nanyang Technological University and the NTU-PKU Joint Research Institute.
- **Shared by :** AIFEG.
- **Language(s) (NLP):** English.
- **License:** Apache-2.0.
### Dataset Sources
- **Repository:** [GitHub - AIFEG/BenchLMM](https://github.com/AIFEG/BenchLMM)
- **Paper :** Cai, R., Song, Z., Guan, D., et al. (2023). BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models. arXiv:2312.02896.
## Uses
### Direct Use
The dataset can be used to benchmark large multimodal models, especially focusing on their capability to interpret and respond to different visual styles.
## Dataset Structure
- **Directory Structure:**
- `baseline/`: Baseline code for LLaVA and InstructBLIP.
- `evaluate/`: Python code for model evaluation.
- `evaluate_results/`: Evaluation results of baseline models.
- `jsonl/`: JSONL files with questions, image locations, and answers.
## Dataset Creation
### Curation Rationale
Developed to assess large multimodal models' performance in diverse visual contexts, helping to understand their capabilities and limitations.
### Source Data
#### Data Collection and Processing
The dataset consists of various visual questions and corresponding answers, structured to evaluate multimodal model performance.
## Bias, Risks, and Limitations
Users should consider the specific visual contexts and question types included in the dataset when interpreting model performance.
## Citation
**BibTeX:**
@misc{cai2023benchlmm,
title={BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models},
author={Rizhao Cai and Zirui Song and Dayan Guan and Zhenhao Chen and Xing Luo and Chenyu Yi and Alex Kot},
year={2023},
eprint={2312.02896},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
**APA:**
Cai, R., Song, Z., Guan, D., Chen, Z., Luo, X., Yi, C., & Kot, A. (2023). BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models. arXiv preprint arXiv:2312.02896.
## Acknowledgements
This research is supported in part by the Rapid-Rich Object Search (ROSE) Lab of Nanyang Technological University and the NTU-PKU Joint Research Institute.
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|
Devio/books4_epub | Devio | 2023-12-06T15:57:38Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-03T18:38:34Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 17551774022.22586
num_examples: 1540371
download_size: 12937475460
dataset_size: 17551774022.22586
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
mari-lab/mari-monolingual-corpus | mari-lab | 2023-12-06T07:30:53Z | 0 | 0 | [
"language:mhr",
"region:us"
]
| null | 2023-12-03T19:19:07Z | ---
language:
- mhr
---
A monolingual corpus of the Mari language in various genres, containing over 20 million word occurrences.
The presented genres:
|Genre|Russian|English|
|:-----|:-------|:-------|
|мутер|словарь|dictionary|
|газетысе увер|газетные новости|periodical news|
|прозо|проза|prose|
|фольклор|фольклор|folklore|
|публицистике|публицистика|publicistic literature|
|поэзий|поэзия|poetry|
|трагикомедий|трагикомедия|tragicomedy|
|пьесе|пьеса|play|
|драме|драма|drama|
|комедий-водевиль|водевиль|vaudeville|
|комедий|комедия|comedy|
|йоча ойлымаш-влак|детские рассказы|сhildren's stories|
|сценарий|сценарий|scenario|
|йомак|сказка|fairytale|
|Библий|Библия|Bible|
|повесть|повесть|novel|
|ойлымаш-влак|рассказы|stories|
|ойлымаш ден йомак-влак|рассказы и сказки|stories and fairytales|
|автор нерген|об авторе|about the author|
```
@inproceedings{
title={Mari monolingual corpus},
author={Andrei Chemyshev, Gennadii Sabantsev, Nadezhda Timofeeva, Vasilii Semenov},
year={2023}
}
``` | [
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|
jealk/dk_retrieval_benchmark | jealk | 2023-12-09T18:19:20Z | 0 | 0 | [
"size_categories:10K<n<100K",
"language:da",
"region:us"
]
| null | 2023-12-03T21:28:52Z | ---
language:
- da
pretty_name: Retskrivning QA
size_categories:
- 10K<n<100K
---
# Retsskrivning
Datasets related to generating a Q & Chunk dataset based on guides (vejledninger) from retskrivning.dk to be used as a retrieval benchmark.
vejledninger_tekst.csv contains a dict with all vejledninger (scraped 8/11/23) from retskrivning.dk
chunks_id_text.csv contains text chunks of max 512 token len, based on splitting all the text from vejledninger_tekst.csv, along with a unique id
chunks_questions_100_samples.csv contains a sample of 200 auto-generated questions, based on the first 100 text chunks from the chunks_id_text.csv file, along with the matching text chunk. | [
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]
|
dwancin/most-popular-names-in-denmark | dwancin | 2023-12-09T12:01:58Z | 0 | 0 | [
"language:da",
"license:mit",
"statistics",
"region:us"
]
| null | 2023-12-04T06:13:36Z | ---
license: mit
language:
- da
tags:
- statistics
pretty_name: Most Popular Names in Denmark
---
# Most Popular Names in Denmark
The statistical data source is the Central Population Register and Statistics Denmark. | [
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|
KETI-AIR/kor_aeslc | KETI-AIR | 2023-12-05T01:48:14Z | 0 | 0 | [
"license:cc-by-nc-sa-4.0",
"region:us"
]
| null | 2023-12-04T08:52:08Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: subject_line
dtype: string
- name: email_body
dtype: string
splits:
- name: train
num_bytes: 11852680
num_examples: 14436
- name: validation
num_bytes: 1699457
num_examples: 1960
- name: test
num_bytes: 1539749
num_examples: 1906
download_size: 8634308
dataset_size: 15091886
license: cc-by-nc-sa-4.0
---
# Dataset Card for "kor_aeslc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@inproceedings{zhang-tetreault-2019-email,
title = "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation",
author = "Zhang, Rui and
Tetreault, Joel",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-1043",
doi = "10.18653/v1/P19-1043",
pages = "446--456",
}
``` | [
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|
dumyy/text-classification-subject | dumyy | 2023-12-07T16:55:33Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-04T14:10:44Z | ---
dataset_info:
features:
- name: content
dtype: string
- name: label
dtype:
class_label:
names:
'0': 文学
'1': 数学
'2': 英文
'3': 物理
'4': 生物
'5': 化学
splits:
- name: train
num_bytes: 319
num_examples: 8
- name: val
num_bytes: 319
num_examples: 8
- name: test
num_bytes: 319
num_examples: 8
download_size: 0
dataset_size: 957
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
---
# Dataset Card for "text-classification-subject"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
jdvakil/RoboSet_Sim | jdvakil | 2023-12-08T00:12:22Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-04T20:48:51Z | ---
license: mit
---
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|
open-llm-leaderboard/details_ajibawa-2023__Python-Code-33B | open-llm-leaderboard | 2023-12-05T01:48:36Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T01:47:51Z | ---
pretty_name: Evaluation run of ajibawa-2023/Python-Code-33B
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [ajibawa-2023/Python-Code-33B](https://huggingface.co/ajibawa-2023/Python-Code-33B)\
\ 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_ajibawa-2023__Python-Code-33B\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T01:45:33.454054](https://huggingface.co/datasets/open-llm-leaderboard/details_ajibawa-2023__Python-Code-33B/blob/main/results_2023-12-05T01-45-33.454054.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\": 0.5411850719173311,\n\
\ \"acc_stderr\": 0.03390619726316288,\n \"acc_norm\": 0.5470787854450224,\n\
\ \"acc_norm_stderr\": 0.034649290725190234,\n \"mc1\": 0.2876376988984088,\n\
\ \"mc1_stderr\": 0.01584631510139481,\n \"mc2\": 0.443943398739872,\n\
\ \"mc2_stderr\": 0.01568143022823914\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5418088737201365,\n \"acc_stderr\": 0.014560220308714698,\n\
\ \"acc_norm\": 0.5631399317406144,\n \"acc_norm_stderr\": 0.014494421584256527\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.622087233618801,\n\
\ \"acc_stderr\": 0.004838747305783349,\n \"acc_norm\": 0.8100975901214897,\n\
\ \"acc_norm_stderr\": 0.003914221738689083\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.45185185185185184,\n\
\ \"acc_stderr\": 0.04299268905480863,\n \"acc_norm\": 0.45185185185185184,\n\
\ \"acc_norm_stderr\": 0.04299268905480863\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.5460526315789473,\n \"acc_stderr\": 0.04051646342874143,\n\
\ \"acc_norm\": 0.5460526315789473,\n \"acc_norm_stderr\": 0.04051646342874143\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.59,\n\
\ \"acc_stderr\": 0.04943110704237101,\n \"acc_norm\": 0.59,\n \
\ \"acc_norm_stderr\": 0.04943110704237101\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.5283018867924528,\n \"acc_stderr\": 0.0307235352490061,\n\
\ \"acc_norm\": 0.5283018867924528,\n \"acc_norm_stderr\": 0.0307235352490061\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6111111111111112,\n\
\ \"acc_stderr\": 0.04076663253918567,\n \"acc_norm\": 0.6111111111111112,\n\
\ \"acc_norm_stderr\": 0.04076663253918567\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\
\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.45,\n\
\ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"acc_norm_stderr\"\
: 0.05\n },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \
\ \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \"acc_norm\"\
: 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n },\n \"harness|hendrycksTest-college_medicine|5\"\
: {\n \"acc\": 0.47398843930635837,\n \"acc_stderr\": 0.038073017265045105,\n\
\ \"acc_norm\": 0.47398843930635837,\n \"acc_norm_stderr\": 0.038073017265045105\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\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \
\ \"acc_norm\": 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n \
\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.4723404255319149,\n\
\ \"acc_stderr\": 0.03263597118409769,\n \"acc_norm\": 0.4723404255319149,\n\
\ \"acc_norm_stderr\": 0.03263597118409769\n },\n \"harness|hendrycksTest-econometrics|5\"\
: {\n \"acc\": 0.32456140350877194,\n \"acc_stderr\": 0.04404556157374767,\n\
\ \"acc_norm\": 0.32456140350877194,\n \"acc_norm_stderr\": 0.04404556157374767\n\
\ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\
: 0.4827586206896552,\n \"acc_stderr\": 0.04164188720169377,\n \"\
acc_norm\": 0.4827586206896552,\n \"acc_norm_stderr\": 0.04164188720169377\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.30687830687830686,\n \"acc_stderr\": 0.02375292871211212,\n \"\
acc_norm\": 0.30687830687830686,\n \"acc_norm_stderr\": 0.02375292871211212\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.25396825396825395,\n\
\ \"acc_stderr\": 0.03893259610604674,\n \"acc_norm\": 0.25396825396825395,\n\
\ \"acc_norm_stderr\": 0.03893259610604674\n },\n \"harness|hendrycksTest-global_facts|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_biology|5\": {\n \"acc\": 0.6258064516129033,\n\
\ \"acc_stderr\": 0.027528904299845693,\n \"acc_norm\": 0.6258064516129033,\n\
\ \"acc_norm_stderr\": 0.027528904299845693\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.3251231527093596,\n \"acc_stderr\": 0.032957975663112704,\n\
\ \"acc_norm\": 0.3251231527093596,\n \"acc_norm_stderr\": 0.032957975663112704\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\
: 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.6303030303030303,\n \"acc_stderr\": 0.03769430314512566,\n\
\ \"acc_norm\": 0.6303030303030303,\n \"acc_norm_stderr\": 0.03769430314512566\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\
acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.7875647668393783,\n \"acc_stderr\": 0.02951928261681723,\n\
\ \"acc_norm\": 0.7875647668393783,\n \"acc_norm_stderr\": 0.02951928261681723\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.5333333333333333,\n \"acc_stderr\": 0.025294608023986472,\n\
\ \"acc_norm\": 0.5333333333333333,\n \"acc_norm_stderr\": 0.025294608023986472\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683522,\n \
\ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683522\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.5126050420168067,\n \"acc_stderr\": 0.03246816765752174,\n \
\ \"acc_norm\": 0.5126050420168067,\n \"acc_norm_stderr\": 0.03246816765752174\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.31125827814569534,\n \"acc_stderr\": 0.03780445850526733,\n \"\
acc_norm\": 0.31125827814569534,\n \"acc_norm_stderr\": 0.03780445850526733\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.7302752293577982,\n \"acc_stderr\": 0.019028486711115435,\n \"\
acc_norm\": 0.7302752293577982,\n \"acc_norm_stderr\": 0.019028486711115435\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.4444444444444444,\n \"acc_stderr\": 0.03388857118502326,\n \"\
acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03388857118502326\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.7205882352941176,\n \"acc_stderr\": 0.03149328104507956,\n \"\
acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.03149328104507956\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.7046413502109705,\n \"acc_stderr\": 0.02969633871342288,\n \
\ \"acc_norm\": 0.7046413502109705,\n \"acc_norm_stderr\": 0.02969633871342288\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6188340807174888,\n\
\ \"acc_stderr\": 0.03259625118416828,\n \"acc_norm\": 0.6188340807174888,\n\
\ \"acc_norm_stderr\": 0.03259625118416828\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\":\
\ 0.7355371900826446,\n \"acc_stderr\": 0.04026187527591205,\n \"\
acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.04026187527591205\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6296296296296297,\n\
\ \"acc_stderr\": 0.04668408033024931,\n \"acc_norm\": 0.6296296296296297,\n\
\ \"acc_norm_stderr\": 0.04668408033024931\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.656441717791411,\n \"acc_stderr\": 0.03731133519673893,\n\
\ \"acc_norm\": 0.656441717791411,\n \"acc_norm_stderr\": 0.03731133519673893\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\
\ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.41964285714285715,\n\
\ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.6699029126213593,\n \"acc_stderr\": 0.0465614711001235,\n\
\ \"acc_norm\": 0.6699029126213593,\n \"acc_norm_stderr\": 0.0465614711001235\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7905982905982906,\n\
\ \"acc_stderr\": 0.026655699653922754,\n \"acc_norm\": 0.7905982905982906,\n\
\ \"acc_norm_stderr\": 0.026655699653922754\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \
\ \"acc_norm\": 0.58,\n \"acc_norm_stderr\": 0.04960449637488583\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7330779054916986,\n\
\ \"acc_stderr\": 0.015818450894777552,\n \"acc_norm\": 0.7330779054916986,\n\
\ \"acc_norm_stderr\": 0.015818450894777552\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.6040462427745664,\n \"acc_stderr\": 0.026329813341946243,\n\
\ \"acc_norm\": 0.6040462427745664,\n \"acc_norm_stderr\": 0.026329813341946243\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3642458100558659,\n\
\ \"acc_stderr\": 0.016094338768474596,\n \"acc_norm\": 0.3642458100558659,\n\
\ \"acc_norm_stderr\": 0.016094338768474596\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.5326797385620915,\n \"acc_stderr\": 0.02856869975222588,\n\
\ \"acc_norm\": 0.5326797385620915,\n \"acc_norm_stderr\": 0.02856869975222588\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.617363344051447,\n\
\ \"acc_stderr\": 0.027604689028581996,\n \"acc_norm\": 0.617363344051447,\n\
\ \"acc_norm_stderr\": 0.027604689028581996\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.6049382716049383,\n \"acc_stderr\": 0.02720111766692565,\n\
\ \"acc_norm\": 0.6049382716049383,\n \"acc_norm_stderr\": 0.02720111766692565\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.41134751773049644,\n \"acc_stderr\": 0.029354911159940992,\n \
\ \"acc_norm\": 0.41134751773049644,\n \"acc_norm_stderr\": 0.029354911159940992\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.43741851368970014,\n\
\ \"acc_stderr\": 0.012669813464935729,\n \"acc_norm\": 0.43741851368970014,\n\
\ \"acc_norm_stderr\": 0.012669813464935729\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.5698529411764706,\n \"acc_stderr\": 0.030074971917302875,\n\
\ \"acc_norm\": 0.5698529411764706,\n \"acc_norm_stderr\": 0.030074971917302875\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.5163398692810458,\n \"acc_stderr\": 0.020217030653186457,\n \
\ \"acc_norm\": 0.5163398692810458,\n \"acc_norm_stderr\": 0.020217030653186457\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6272727272727273,\n\
\ \"acc_stderr\": 0.04631381319425465,\n \"acc_norm\": 0.6272727272727273,\n\
\ \"acc_norm_stderr\": 0.04631381319425465\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.5918367346938775,\n \"acc_stderr\": 0.031464657128274245,\n\
\ \"acc_norm\": 0.5918367346938775,\n \"acc_norm_stderr\": 0.031464657128274245\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7512437810945274,\n\
\ \"acc_stderr\": 0.03056767593891672,\n \"acc_norm\": 0.7512437810945274,\n\
\ \"acc_norm_stderr\": 0.03056767593891672\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \
\ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\
\ \"acc_stderr\": 0.038879718495972646,\n \"acc_norm\": 0.4759036144578313,\n\
\ \"acc_norm_stderr\": 0.038879718495972646\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.7426900584795322,\n \"acc_stderr\": 0.03352799844161865,\n\
\ \"acc_norm\": 0.7426900584795322,\n \"acc_norm_stderr\": 0.03352799844161865\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2876376988984088,\n\
\ \"mc1_stderr\": 0.01584631510139481,\n \"mc2\": 0.443943398739872,\n\
\ \"mc2_stderr\": 0.01568143022823914\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.7521704814522494,\n \"acc_stderr\": 0.012134386019865346\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.19181197877179681,\n \
\ \"acc_stderr\": 0.010845169955294024\n }\n}\n```"
repo_url: https://huggingface.co/ajibawa-2023/Python-Code-33B
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_05T01_45_33.454054
path:
- '**/details_harness|arc:challenge|25_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|gsm8k|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hellaswag|10_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T01-45-33.454054.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T01-45-33.454054.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- '**/details_harness|winogrande|5_2023-12-05T01-45-33.454054.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T01-45-33.454054.parquet'
- config_name: results
data_files:
- split: 2023_12_05T01_45_33.454054
path:
- results_2023-12-05T01-45-33.454054.parquet
- split: latest
path:
- results_2023-12-05T01-45-33.454054.parquet
---
# Dataset Card for Evaluation run of ajibawa-2023/Python-Code-33B
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/ajibawa-2023/Python-Code-33B
- **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 [ajibawa-2023/Python-Code-33B](https://huggingface.co/ajibawa-2023/Python-Code-33B) 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_ajibawa-2023__Python-Code-33B",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T01:45:33.454054](https://huggingface.co/datasets/open-llm-leaderboard/details_ajibawa-2023__Python-Code-33B/blob/main/results_2023-12-05T01-45-33.454054.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": 0.5411850719173311,
"acc_stderr": 0.03390619726316288,
"acc_norm": 0.5470787854450224,
"acc_norm_stderr": 0.034649290725190234,
"mc1": 0.2876376988984088,
"mc1_stderr": 0.01584631510139481,
"mc2": 0.443943398739872,
"mc2_stderr": 0.01568143022823914
},
"harness|arc:challenge|25": {
"acc": 0.5418088737201365,
"acc_stderr": 0.014560220308714698,
"acc_norm": 0.5631399317406144,
"acc_norm_stderr": 0.014494421584256527
},
"harness|hellaswag|10": {
"acc": 0.622087233618801,
"acc_stderr": 0.004838747305783349,
"acc_norm": 0.8100975901214897,
"acc_norm_stderr": 0.003914221738689083
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099,
"acc_norm": 0.37,
"acc_norm_stderr": 0.04852365870939099
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.45185185185185184,
"acc_stderr": 0.04299268905480863,
"acc_norm": 0.45185185185185184,
"acc_norm_stderr": 0.04299268905480863
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.5460526315789473,
"acc_stderr": 0.04051646342874143,
"acc_norm": 0.5460526315789473,
"acc_norm_stderr": 0.04051646342874143
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.59,
"acc_stderr": 0.04943110704237101,
"acc_norm": 0.59,
"acc_norm_stderr": 0.04943110704237101
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.5283018867924528,
"acc_stderr": 0.0307235352490061,
"acc_norm": 0.5283018867924528,
"acc_norm_stderr": 0.0307235352490061
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.6111111111111112,
"acc_stderr": 0.04076663253918567,
"acc_norm": 0.6111111111111112,
"acc_norm_stderr": 0.04076663253918567
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.37,
"acc_stderr": 0.048523658709391,
"acc_norm": 0.37,
"acc_norm_stderr": 0.048523658709391
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.33,
"acc_stderr": 0.047258156262526045,
"acc_norm": 0.33,
"acc_norm_stderr": 0.047258156262526045
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.47398843930635837,
"acc_stderr": 0.038073017265045105,
"acc_norm": 0.47398843930635837,
"acc_norm_stderr": 0.038073017265045105
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.2647058823529412,
"acc_stderr": 0.043898699568087785,
"acc_norm": 0.2647058823529412,
"acc_norm_stderr": 0.043898699568087785
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.66,
"acc_stderr": 0.04760952285695237,
"acc_norm": 0.66,
"acc_norm_stderr": 0.04760952285695237
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.4723404255319149,
"acc_stderr": 0.03263597118409769,
"acc_norm": 0.4723404255319149,
"acc_norm_stderr": 0.03263597118409769
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.32456140350877194,
"acc_stderr": 0.04404556157374767,
"acc_norm": 0.32456140350877194,
"acc_norm_stderr": 0.04404556157374767
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.4827586206896552,
"acc_stderr": 0.04164188720169377,
"acc_norm": 0.4827586206896552,
"acc_norm_stderr": 0.04164188720169377
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.30687830687830686,
"acc_stderr": 0.02375292871211212,
"acc_norm": 0.30687830687830686,
"acc_norm_stderr": 0.02375292871211212
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.25396825396825395,
"acc_stderr": 0.03893259610604674,
"acc_norm": 0.25396825396825395,
"acc_norm_stderr": 0.03893259610604674
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.6258064516129033,
"acc_stderr": 0.027528904299845693,
"acc_norm": 0.6258064516129033,
"acc_norm_stderr": 0.027528904299845693
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.3251231527093596,
"acc_stderr": 0.032957975663112704,
"acc_norm": 0.3251231527093596,
"acc_norm_stderr": 0.032957975663112704
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.59,
"acc_stderr": 0.04943110704237102,
"acc_norm": 0.59,
"acc_norm_stderr": 0.04943110704237102
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.6303030303030303,
"acc_stderr": 0.03769430314512566,
"acc_norm": 0.6303030303030303,
"acc_norm_stderr": 0.03769430314512566
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.7474747474747475,
"acc_stderr": 0.030954055470365897,
"acc_norm": 0.7474747474747475,
"acc_norm_stderr": 0.030954055470365897
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.7875647668393783,
"acc_stderr": 0.02951928261681723,
"acc_norm": 0.7875647668393783,
"acc_norm_stderr": 0.02951928261681723
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.5333333333333333,
"acc_stderr": 0.025294608023986472,
"acc_norm": 0.5333333333333333,
"acc_norm_stderr": 0.025294608023986472
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3111111111111111,
"acc_stderr": 0.028226446749683522,
"acc_norm": 0.3111111111111111,
"acc_norm_stderr": 0.028226446749683522
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.5126050420168067,
"acc_stderr": 0.03246816765752174,
"acc_norm": 0.5126050420168067,
"acc_norm_stderr": 0.03246816765752174
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.31125827814569534,
"acc_stderr": 0.03780445850526733,
"acc_norm": 0.31125827814569534,
"acc_norm_stderr": 0.03780445850526733
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.7302752293577982,
"acc_stderr": 0.019028486711115435,
"acc_norm": 0.7302752293577982,
"acc_norm_stderr": 0.019028486711115435
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.4444444444444444,
"acc_stderr": 0.03388857118502326,
"acc_norm": 0.4444444444444444,
"acc_norm_stderr": 0.03388857118502326
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.7205882352941176,
"acc_stderr": 0.03149328104507956,
"acc_norm": 0.7205882352941176,
"acc_norm_stderr": 0.03149328104507956
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.7046413502109705,
"acc_stderr": 0.02969633871342288,
"acc_norm": 0.7046413502109705,
"acc_norm_stderr": 0.02969633871342288
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6188340807174888,
"acc_stderr": 0.03259625118416828,
"acc_norm": 0.6188340807174888,
"acc_norm_stderr": 0.03259625118416828
},
"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": 0.7355371900826446,
"acc_stderr": 0.04026187527591205,
"acc_norm": 0.7355371900826446,
"acc_norm_stderr": 0.04026187527591205
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.6296296296296297,
"acc_stderr": 0.04668408033024931,
"acc_norm": 0.6296296296296297,
"acc_norm_stderr": 0.04668408033024931
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.656441717791411,
"acc_stderr": 0.03731133519673893,
"acc_norm": 0.656441717791411,
"acc_norm_stderr": 0.03731133519673893
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.41964285714285715,
"acc_stderr": 0.04684099321077106,
"acc_norm": 0.41964285714285715,
"acc_norm_stderr": 0.04684099321077106
},
"harness|hendrycksTest-management|5": {
"acc": 0.6699029126213593,
"acc_stderr": 0.0465614711001235,
"acc_norm": 0.6699029126213593,
"acc_norm_stderr": 0.0465614711001235
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.7905982905982906,
"acc_stderr": 0.026655699653922754,
"acc_norm": 0.7905982905982906,
"acc_norm_stderr": 0.026655699653922754
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.58,
"acc_stderr": 0.04960449637488583,
"acc_norm": 0.58,
"acc_norm_stderr": 0.04960449637488583
},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.7330779054916986,
"acc_stderr": 0.015818450894777552,
"acc_norm": 0.7330779054916986,
"acc_norm_stderr": 0.015818450894777552
},
"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.6040462427745664,
"acc_stderr": 0.026329813341946243,
"acc_norm": 0.6040462427745664,
"acc_norm_stderr": 0.026329813341946243
},
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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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|
gymprathap/Semantic-Segmentation-Aerial-Imagery-Dataset | gymprathap | 2023-12-05T02:19:34Z | 0 | 0 | [
"task_categories:feature-extraction",
"size_categories:n<1K",
"language:en",
"license:cc-by-4.0",
"climate",
"region:us"
]
| [
"feature-extraction"
]
| 2023-12-05T02:11:37Z | ---
license: cc-by-4.0
task_categories:
- feature-extraction
language:
- en
tags:
- climate
pretty_name: Semantic segmentation of aerial imagery
size_categories:
- n<1K
---
The dataset comprises aerial imagery of Dubai acquired by MBRSC satellites and annotated with pixel-level semantic segmentation across 6 distinct classes. The dataset comprises a total of 72 images, which are organised into 6 larger tiles. The categories are as follows:
Credit: Humans in the Loop is releasing an openly accessible dataset that has been annotated for a collaborative project with the Mohammed Bin Rashid Space Centre in Dubai, United Arab Emirates.
<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> | [
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|
KETI-AIR/kor_commonsense_qa | KETI-AIR | 2023-12-05T02:36:54Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-05T02:17:36Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: id
dtype: string
- name: question
dtype: string
- name: question_concept
dtype: string
- name: choices
struct:
- name: text
sequence: string
- name: label
sequence: string
- name: answerKey
dtype: string
splits:
- name: train
num_bytes: 2642161
num_examples: 9741
- name: validation
num_bytes: 327694
num_examples: 1221
- name: test
num_bytes: 309213
num_examples: 1140
download_size: 1782280
dataset_size: 3279068
license: mit
---
# Dataset Card for "kor_commonsense_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@inproceedings{talmor-etal-2019-commonsenseqa,
title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge",
author = "Talmor, Alon and
Herzig, Jonathan and
Lourie, Nicholas and
Berant, Jonathan",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N19-1421",
doi = "10.18653/v1/N19-1421",
pages = "4149--4158",
archivePrefix = "arXiv",
eprint = "1811.00937",
primaryClass = "cs",
}
``` | [
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|
eastwu/Easy-Image-Retrieval | eastwu | 2023-12-05T02:20:49Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-05T02:20:49Z | ---
license: apache-2.0
---
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|
c4ba/bielmc | c4ba | 2023-12-05T02:26:55Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T02:26:18Z | ---
license: openrail
---
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|
PikwikCStudios/Carson | PikwikCStudios | 2023-12-05T02:52:20Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-05T02:41:54Z | ---
license: mit
---
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|
Vinnyyw/Anahivoice | Vinnyyw | 2023-12-05T03:05:05Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T03:04:03Z | ---
license: openrail
---
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|
open-llm-leaderboard/details_brucethemoose__CapyTessBorosYi-34B-200K-DARE-Ties | open-llm-leaderboard | 2023-12-05T03:20:28Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T03:19:43Z | ---
pretty_name: Evaluation run of brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties](https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties)\
\ 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_brucethemoose__CapyTessBorosYi-34B-200K-DARE-Ties\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T03:16:54.690977](https://huggingface.co/datasets/open-llm-leaderboard/details_brucethemoose__CapyTessBorosYi-34B-200K-DARE-Ties/blob/main/results_2023-12-05T03-16-54.690977.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\": 0.7567711901753588,\n\
\ \"acc_stderr\": 0.028382267920122734,\n \"acc_norm\": 0.7615616815437645,\n\
\ \"acc_norm_stderr\": 0.028914131489708655,\n \"mc1\": 0.40514075887392903,\n\
\ \"mc1_stderr\": 0.017185611727753368,\n \"mc2\": 0.5583921075323958,\n\
\ \"mc2_stderr\": 0.015750345067611658\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6203071672354948,\n \"acc_stderr\": 0.014182119866974872,\n\
\ \"acc_norm\": 0.6493174061433447,\n \"acc_norm_stderr\": 0.013944635930726097\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6693885680143398,\n\
\ \"acc_stderr\": 0.004694718918225748,\n \"acc_norm\": 0.8591913961362279,\n\
\ \"acc_norm_stderr\": 0.0034711315448920457\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.7407407407407407,\n\
\ \"acc_stderr\": 0.03785714465066653,\n \"acc_norm\": 0.7407407407407407,\n\
\ \"acc_norm_stderr\": 0.03785714465066653\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.9078947368421053,\n \"acc_stderr\": 0.02353268597044349,\n\
\ \"acc_norm\": 0.9078947368421053,\n \"acc_norm_stderr\": 0.02353268597044349\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.77,\n\
\ \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n \
\ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.8301886792452831,\n \"acc_stderr\": 0.02310839379984132,\n\
\ \"acc_norm\": 0.8301886792452831,\n \"acc_norm_stderr\": 0.02310839379984132\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8888888888888888,\n\
\ \"acc_stderr\": 0.026280550932848076,\n \"acc_norm\": 0.8888888888888888,\n\
\ \"acc_norm_stderr\": 0.026280550932848076\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\"\
: 0.58,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7456647398843931,\n\
\ \"acc_stderr\": 0.0332055644308557,\n \"acc_norm\": 0.7456647398843931,\n\
\ \"acc_norm_stderr\": 0.0332055644308557\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.049512182523962604,\n\
\ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.049512182523962604\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \"acc_norm\": 0.83,\n\
\ \"acc_norm_stderr\": 0.03775251680686371\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.7829787234042553,\n \"acc_stderr\": 0.026947483121496224,\n\
\ \"acc_norm\": 0.7829787234042553,\n \"acc_norm_stderr\": 0.026947483121496224\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.6052631578947368,\n\
\ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.6052631578947368,\n\
\ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.7517241379310344,\n \"acc_stderr\": 0.03600105692727771,\n\
\ \"acc_norm\": 0.7517241379310344,\n \"acc_norm_stderr\": 0.03600105692727771\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.6878306878306878,\n \"acc_stderr\": 0.023865206836972592,\n \"\
acc_norm\": 0.6878306878306878,\n \"acc_norm_stderr\": 0.023865206836972592\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5396825396825397,\n\
\ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.5396825396825397,\n\
\ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.896774193548387,\n\
\ \"acc_stderr\": 0.01730838128103453,\n \"acc_norm\": 0.896774193548387,\n\
\ \"acc_norm_stderr\": 0.01730838128103453\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.6502463054187192,\n \"acc_stderr\": 0.03355400904969566,\n\
\ \"acc_norm\": 0.6502463054187192,\n \"acc_norm_stderr\": 0.03355400904969566\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.8,\n \"acc_stderr\": 0.040201512610368445,\n \"acc_norm\"\
: 0.8,\n \"acc_norm_stderr\": 0.040201512610368445\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8606060606060606,\n \"acc_stderr\": 0.027045948825865394,\n\
\ \"acc_norm\": 0.8606060606060606,\n \"acc_norm_stderr\": 0.027045948825865394\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.9343434343434344,\n \"acc_stderr\": 0.01764652667723332,\n \"\
acc_norm\": 0.9343434343434344,\n \"acc_norm_stderr\": 0.01764652667723332\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9740932642487047,\n \"acc_stderr\": 0.01146452335695318,\n\
\ \"acc_norm\": 0.9740932642487047,\n \"acc_norm_stderr\": 0.01146452335695318\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.8076923076923077,\n \"acc_stderr\": 0.019982347208637303,\n\
\ \"acc_norm\": 0.8076923076923077,\n \"acc_norm_stderr\": 0.019982347208637303\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.40370370370370373,\n \"acc_stderr\": 0.029914812342227627,\n \
\ \"acc_norm\": 0.40370370370370373,\n \"acc_norm_stderr\": 0.029914812342227627\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.8571428571428571,\n \"acc_stderr\": 0.02273020811930654,\n \
\ \"acc_norm\": 0.8571428571428571,\n \"acc_norm_stderr\": 0.02273020811930654\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.5033112582781457,\n \"acc_stderr\": 0.04082393379449654,\n \"\
acc_norm\": 0.5033112582781457,\n \"acc_norm_stderr\": 0.04082393379449654\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.9229357798165138,\n \"acc_stderr\": 0.011434381698911096,\n \"\
acc_norm\": 0.9229357798165138,\n \"acc_norm_stderr\": 0.011434381698911096\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6296296296296297,\n \"acc_stderr\": 0.03293377139415191,\n \"\
acc_norm\": 0.6296296296296297,\n \"acc_norm_stderr\": 0.03293377139415191\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\
acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.9029535864978903,\n \"acc_stderr\": 0.019269323025640266,\n \
\ \"acc_norm\": 0.9029535864978903,\n \"acc_norm_stderr\": 0.019269323025640266\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7982062780269058,\n\
\ \"acc_stderr\": 0.02693611191280227,\n \"acc_norm\": 0.7982062780269058,\n\
\ \"acc_norm_stderr\": 0.02693611191280227\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8702290076335878,\n \"acc_stderr\": 0.029473649496907065,\n\
\ \"acc_norm\": 0.8702290076335878,\n \"acc_norm_stderr\": 0.029473649496907065\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8677685950413223,\n \"acc_stderr\": 0.030922788320445784,\n \"\
acc_norm\": 0.8677685950413223,\n \"acc_norm_stderr\": 0.030922788320445784\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8888888888888888,\n\
\ \"acc_stderr\": 0.03038159675665168,\n \"acc_norm\": 0.8888888888888888,\n\
\ \"acc_norm_stderr\": 0.03038159675665168\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.8588957055214724,\n \"acc_stderr\": 0.027351605518389752,\n\
\ \"acc_norm\": 0.8588957055214724,\n \"acc_norm_stderr\": 0.027351605518389752\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6160714285714286,\n\
\ \"acc_stderr\": 0.04616143075028546,\n \"acc_norm\": 0.6160714285714286,\n\
\ \"acc_norm_stderr\": 0.04616143075028546\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8446601941747572,\n \"acc_stderr\": 0.03586594738573974,\n\
\ \"acc_norm\": 0.8446601941747572,\n \"acc_norm_stderr\": 0.03586594738573974\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9358974358974359,\n\
\ \"acc_stderr\": 0.016046261631673137,\n \"acc_norm\": 0.9358974358974359,\n\
\ \"acc_norm_stderr\": 0.016046261631673137\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\
\ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9106002554278416,\n\
\ \"acc_stderr\": 0.010203017847688303,\n \"acc_norm\": 0.9106002554278416,\n\
\ \"acc_norm_stderr\": 0.010203017847688303\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.8179190751445087,\n \"acc_stderr\": 0.020776761102512992,\n\
\ \"acc_norm\": 0.8179190751445087,\n \"acc_norm_stderr\": 0.020776761102512992\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.7094972067039106,\n\
\ \"acc_stderr\": 0.015183844307206165,\n \"acc_norm\": 0.7094972067039106,\n\
\ \"acc_norm_stderr\": 0.015183844307206165\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.8366013071895425,\n \"acc_stderr\": 0.021170623011213505,\n\
\ \"acc_norm\": 0.8366013071895425,\n \"acc_norm_stderr\": 0.021170623011213505\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8006430868167203,\n\
\ \"acc_stderr\": 0.022691033780549656,\n \"acc_norm\": 0.8006430868167203,\n\
\ \"acc_norm_stderr\": 0.022691033780549656\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8827160493827161,\n \"acc_stderr\": 0.017903112615281123,\n\
\ \"acc_norm\": 0.8827160493827161,\n \"acc_norm_stderr\": 0.017903112615281123\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.6453900709219859,\n \"acc_stderr\": 0.02853865002887863,\n \
\ \"acc_norm\": 0.6453900709219859,\n \"acc_norm_stderr\": 0.02853865002887863\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5873533246414603,\n\
\ \"acc_stderr\": 0.012573836633799022,\n \"acc_norm\": 0.5873533246414603,\n\
\ \"acc_norm_stderr\": 0.012573836633799022\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.8088235294117647,\n \"acc_stderr\": 0.02388688192244033,\n\
\ \"acc_norm\": 0.8088235294117647,\n \"acc_norm_stderr\": 0.02388688192244033\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.8218954248366013,\n \"acc_stderr\": 0.015478369653108566,\n \
\ \"acc_norm\": 0.8218954248366013,\n \"acc_norm_stderr\": 0.015478369653108566\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7272727272727273,\n\
\ \"acc_stderr\": 0.04265792110940589,\n \"acc_norm\": 0.7272727272727273,\n\
\ \"acc_norm_stderr\": 0.04265792110940589\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.8530612244897959,\n \"acc_stderr\": 0.022665400417217638,\n\
\ \"acc_norm\": 0.8530612244897959,\n \"acc_norm_stderr\": 0.022665400417217638\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.9104477611940298,\n\
\ \"acc_stderr\": 0.020190670535027908,\n \"acc_norm\": 0.9104477611940298,\n\
\ \"acc_norm_stderr\": 0.020190670535027908\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \
\ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\
\ \"acc_stderr\": 0.03858158940685515,\n \"acc_norm\": 0.5662650602409639,\n\
\ \"acc_norm_stderr\": 0.03858158940685515\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8596491228070176,\n \"acc_stderr\": 0.026640582539133196,\n\
\ \"acc_norm\": 0.8596491228070176,\n \"acc_norm_stderr\": 0.026640582539133196\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.40514075887392903,\n\
\ \"mc1_stderr\": 0.017185611727753368,\n \"mc2\": 0.5583921075323958,\n\
\ \"mc2_stderr\": 0.015750345067611658\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8303078137332282,\n \"acc_stderr\": 0.010549542647363698\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6194086429112965,\n \
\ \"acc_stderr\": 0.013373971277729817\n }\n}\n```"
repo_url: https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties
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_05T03_16_54.690977
path:
- '**/details_harness|arc:challenge|25_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|gsm8k|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hellaswag|10_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-16-54.690977.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T03-16-54.690977.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- '**/details_harness|winogrande|5_2023-12-05T03-16-54.690977.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T03-16-54.690977.parquet'
- config_name: results
data_files:
- split: 2023_12_05T03_16_54.690977
path:
- results_2023-12-05T03-16-54.690977.parquet
- split: latest
path:
- results_2023-12-05T03-16-54.690977.parquet
---
# Dataset Card for Evaluation run of brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties
- **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 [brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties](https://huggingface.co/brucethemoose/CapyTessBorosYi-34B-200K-DARE-Ties) 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_brucethemoose__CapyTessBorosYi-34B-200K-DARE-Ties",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T03:16:54.690977](https://huggingface.co/datasets/open-llm-leaderboard/details_brucethemoose__CapyTessBorosYi-34B-200K-DARE-Ties/blob/main/results_2023-12-05T03-16-54.690977.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": 0.7567711901753588,
"acc_stderr": 0.028382267920122734,
"acc_norm": 0.7615616815437645,
"acc_norm_stderr": 0.028914131489708655,
"mc1": 0.40514075887392903,
"mc1_stderr": 0.017185611727753368,
"mc2": 0.5583921075323958,
"mc2_stderr": 0.015750345067611658
},
"harness|arc:challenge|25": {
"acc": 0.6203071672354948,
"acc_stderr": 0.014182119866974872,
"acc_norm": 0.6493174061433447,
"acc_norm_stderr": 0.013944635930726097
},
"harness|hellaswag|10": {
"acc": 0.6693885680143398,
"acc_stderr": 0.004694718918225748,
"acc_norm": 0.8591913961362279,
"acc_norm_stderr": 0.0034711315448920457
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.7407407407407407,
"acc_stderr": 0.03785714465066653,
"acc_norm": 0.7407407407407407,
"acc_norm_stderr": 0.03785714465066653
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.9078947368421053,
"acc_stderr": 0.02353268597044349,
"acc_norm": 0.9078947368421053,
"acc_norm_stderr": 0.02353268597044349
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.77,
"acc_stderr": 0.04229525846816506,
"acc_norm": 0.77,
"acc_norm_stderr": 0.04229525846816506
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.8301886792452831,
"acc_stderr": 0.02310839379984132,
"acc_norm": 0.8301886792452831,
"acc_norm_stderr": 0.02310839379984132
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.8888888888888888,
"acc_stderr": 0.026280550932848076,
"acc_norm": 0.8888888888888888,
"acc_norm_stderr": 0.026280550932848076
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.58,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.58,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-college_mathematics|5": {
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"acc_norm": 0.4,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-college_medicine|5": {
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"acc_norm": 0.7456647398843931,
"acc_norm_stderr": 0.0332055644308557
},
"harness|hendrycksTest-college_physics|5": {
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"acc_stderr": 0.049512182523962604,
"acc_norm": 0.5490196078431373,
"acc_norm_stderr": 0.049512182523962604
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.83,
"acc_stderr": 0.03775251680686371,
"acc_norm": 0.83,
"acc_norm_stderr": 0.03775251680686371
},
"harness|hendrycksTest-conceptual_physics|5": {
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"acc_norm": 0.7829787234042553,
"acc_norm_stderr": 0.026947483121496224
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.6052631578947368,
"acc_stderr": 0.045981880578165414,
"acc_norm": 0.6052631578947368,
"acc_norm_stderr": 0.045981880578165414
},
"harness|hendrycksTest-electrical_engineering|5": {
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"acc_norm": 0.7517241379310344,
"acc_norm_stderr": 0.03600105692727771
},
"harness|hendrycksTest-elementary_mathematics|5": {
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"acc_norm": 0.6878306878306878,
"acc_norm_stderr": 0.023865206836972592
},
"harness|hendrycksTest-formal_logic|5": {
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"acc_norm": 0.5396825396825397,
"acc_norm_stderr": 0.04458029125470973
},
"harness|hendrycksTest-global_facts|5": {
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"acc_stderr": 0.049236596391733084,
"acc_norm": 0.6,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-high_school_biology|5": {
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"acc_norm": 0.896774193548387,
"acc_norm_stderr": 0.01730838128103453
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.6502463054187192,
"acc_stderr": 0.03355400904969566,
"acc_norm": 0.6502463054187192,
"acc_norm_stderr": 0.03355400904969566
},
"harness|hendrycksTest-high_school_computer_science|5": {
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"acc_norm": 0.8,
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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": {
"acc": 0.9740932642487047,
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"acc_norm": 0.9740932642487047,
"acc_norm_stderr": 0.01146452335695318
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.8076923076923077,
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"acc_norm": 0.8076923076923077,
"acc_norm_stderr": 0.019982347208637303
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.40370370370370373,
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"acc_norm": 0.40370370370370373,
"acc_norm_stderr": 0.029914812342227627
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.8571428571428571,
"acc_stderr": 0.02273020811930654,
"acc_norm": 0.8571428571428571,
"acc_norm_stderr": 0.02273020811930654
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.5033112582781457,
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"acc_norm": 0.5033112582781457,
"acc_norm_stderr": 0.04082393379449654
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.9229357798165138,
"acc_stderr": 0.011434381698911096,
"acc_norm": 0.9229357798165138,
"acc_norm_stderr": 0.011434381698911096
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.6296296296296297,
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"acc_norm": 0.6296296296296297,
"acc_norm_stderr": 0.03293377139415191
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.9215686274509803,
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"acc_norm": 0.9215686274509803,
"acc_norm_stderr": 0.018869514646658928
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.9029535864978903,
"acc_stderr": 0.019269323025640266,
"acc_norm": 0.9029535864978903,
"acc_norm_stderr": 0.019269323025640266
},
"harness|hendrycksTest-human_aging|5": {
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"acc_stderr": 0.02693611191280227,
"acc_norm": 0.7982062780269058,
"acc_norm_stderr": 0.02693611191280227
},
"harness|hendrycksTest-human_sexuality|5": {
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"acc_norm": 0.8702290076335878,
"acc_norm_stderr": 0.029473649496907065
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.8677685950413223,
"acc_stderr": 0.030922788320445784,
"acc_norm": 0.8677685950413223,
"acc_norm_stderr": 0.030922788320445784
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.8888888888888888,
"acc_stderr": 0.03038159675665168,
"acc_norm": 0.8888888888888888,
"acc_norm_stderr": 0.03038159675665168
},
"harness|hendrycksTest-logical_fallacies|5": {
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"acc_stderr": 0.027351605518389752,
"acc_norm": 0.8588957055214724,
"acc_norm_stderr": 0.027351605518389752
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.6160714285714286,
"acc_stderr": 0.04616143075028546,
"acc_norm": 0.6160714285714286,
"acc_norm_stderr": 0.04616143075028546
},
"harness|hendrycksTest-management|5": {
"acc": 0.8446601941747572,
"acc_stderr": 0.03586594738573974,
"acc_norm": 0.8446601941747572,
"acc_norm_stderr": 0.03586594738573974
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.9358974358974359,
"acc_stderr": 0.016046261631673137,
"acc_norm": 0.9358974358974359,
"acc_norm_stderr": 0.016046261631673137
},
"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.86,
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"acc_norm": 0.86,
"acc_norm_stderr": 0.0348735088019777
},
"harness|hendrycksTest-miscellaneous|5": {
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"acc_norm": 0.9106002554278416,
"acc_norm_stderr": 0.010203017847688303
},
"harness|hendrycksTest-moral_disputes|5": {
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"acc_stderr": 0.020776761102512992,
"acc_norm": 0.8179190751445087,
"acc_norm_stderr": 0.020776761102512992
},
"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.7094972067039106,
"acc_stderr": 0.015183844307206165,
"acc_norm": 0.7094972067039106,
"acc_norm_stderr": 0.015183844307206165
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.8366013071895425,
"acc_stderr": 0.021170623011213505,
"acc_norm": 0.8366013071895425,
"acc_norm_stderr": 0.021170623011213505
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.8006430868167203,
"acc_stderr": 0.022691033780549656,
"acc_norm": 0.8006430868167203,
"acc_norm_stderr": 0.022691033780549656
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.8827160493827161,
"acc_stderr": 0.017903112615281123,
"acc_norm": 0.8827160493827161,
"acc_norm_stderr": 0.017903112615281123
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.6453900709219859,
"acc_stderr": 0.02853865002887863,
"acc_norm": 0.6453900709219859,
"acc_norm_stderr": 0.02853865002887863
},
"harness|hendrycksTest-professional_law|5": {
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"acc_norm": 0.5873533246414603,
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},
"harness|hendrycksTest-professional_medicine|5": {
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"acc_norm": 0.8088235294117647,
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},
"harness|hendrycksTest-professional_psychology|5": {
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"acc_norm": 0.8218954248366013,
"acc_norm_stderr": 0.015478369653108566
},
"harness|hendrycksTest-public_relations|5": {
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"acc_stderr": 0.04265792110940589,
"acc_norm": 0.7272727272727273,
"acc_norm_stderr": 0.04265792110940589
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.8530612244897959,
"acc_stderr": 0.022665400417217638,
"acc_norm": 0.8530612244897959,
"acc_norm_stderr": 0.022665400417217638
},
"harness|hendrycksTest-sociology|5": {
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"acc_stderr": 0.020190670535027908,
"acc_norm": 0.9104477611940298,
"acc_norm_stderr": 0.020190670535027908
},
"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.91,
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"acc_norm": 0.91,
"acc_norm_stderr": 0.028762349126466125
},
"harness|hendrycksTest-virology|5": {
"acc": 0.5662650602409639,
"acc_stderr": 0.03858158940685515,
"acc_norm": 0.5662650602409639,
"acc_norm_stderr": 0.03858158940685515
},
"harness|hendrycksTest-world_religions|5": {
"acc": 0.8596491228070176,
"acc_stderr": 0.026640582539133196,
"acc_norm": 0.8596491228070176,
"acc_norm_stderr": 0.026640582539133196
},
"harness|truthfulqa:mc|0": {
"mc1": 0.40514075887392903,
"mc1_stderr": 0.017185611727753368,
"mc2": 0.5583921075323958,
"mc2_stderr": 0.015750345067611658
},
"harness|winogrande|5": {
"acc": 0.8303078137332282,
"acc_stderr": 0.010549542647363698
},
"harness|gsm8k|5": {
"acc": 0.6194086429112965,
"acc_stderr": 0.013373971277729817
}
}
```
### 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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|
Ronye/Hannibal | Ronye | 2023-12-05T03:27:56Z | 0 | 0 | [
"license:unknown",
"region:us"
]
| null | 2023-12-05T03:25:16Z | ---
license: unknown
---
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|
frostymelonade/BOSSbase-WOW-Stego-Classification | frostymelonade | 2023-12-05T03:47:45Z | 0 | 0 | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"region:us"
]
| [
"image-classification"
]
| 2023-12-05T03:43:43Z | ---
task_categories:
- image-classification
pretty_name: 0.2 BPP WOW stego classification from GBRASNET
size_categories:
- 10K<n<100K
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|
open-llm-leaderboard/details_01-ai__Yi-34B-200K | open-llm-leaderboard | 2023-12-05T03:45:12Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T03:44:28Z | ---
pretty_name: Evaluation run of 01-ai/Yi-34B-200K
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K) 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_01-ai__Yi-34B-200K\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T03:41:41.478096](https://huggingface.co/datasets/open-llm-leaderboard/details_01-ai__Yi-34B-200K/blob/main/results_2023-12-05T03-41-41.478096.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\": 0.7553618929104267,\n\
\ \"acc_stderr\": 0.02837585903729335,\n \"acc_norm\": 0.7603811984841083,\n\
\ \"acc_norm_stderr\": 0.028905075105130153,\n \"mc1\": 0.3818849449204406,\n\
\ \"mc1_stderr\": 0.017008101939163495,\n \"mc2\": 0.5364445120598228,\n\
\ \"mc2_stderr\": 0.014804162952722544\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6262798634812287,\n \"acc_stderr\": 0.014137708601759091,\n\
\ \"acc_norm\": 0.6535836177474402,\n \"acc_norm_stderr\": 0.013905011180063227\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6557458673571002,\n\
\ \"acc_stderr\": 0.004741534106470288,\n \"acc_norm\": 0.8558056164110734,\n\
\ \"acc_norm_stderr\": 0.0035056879433872927\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \
\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.7185185185185186,\n\
\ \"acc_stderr\": 0.038850042458002526,\n \"acc_norm\": 0.7185185185185186,\n\
\ \"acc_norm_stderr\": 0.038850042458002526\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.8618421052631579,\n \"acc_stderr\": 0.028081042939576552,\n\
\ \"acc_norm\": 0.8618421052631579,\n \"acc_norm_stderr\": 0.028081042939576552\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.8,\n\
\ \"acc_stderr\": 0.04020151261036843,\n \"acc_norm\": 0.8,\n \
\ \"acc_norm_stderr\": 0.04020151261036843\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.8226415094339623,\n \"acc_stderr\": 0.02350873921884694,\n\
\ \"acc_norm\": 0.8226415094339623,\n \"acc_norm_stderr\": 0.02350873921884694\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.875,\n\
\ \"acc_stderr\": 0.02765610492929436,\n \"acc_norm\": 0.875,\n \
\ \"acc_norm_stderr\": 0.02765610492929436\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.63,\n \"acc_stderr\": 0.048523658709391,\n \"acc_norm\": 0.63,\n\
\ \"acc_norm_stderr\": 0.048523658709391\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.7341040462427746,\n\
\ \"acc_stderr\": 0.033687629322594316,\n \"acc_norm\": 0.7341040462427746,\n\
\ \"acc_norm_stderr\": 0.033687629322594316\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.49019607843137253,\n \"acc_stderr\": 0.04974229460422817,\n\
\ \"acc_norm\": 0.49019607843137253,\n \"acc_norm_stderr\": 0.04974229460422817\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \"acc_norm\": 0.84,\n\
\ \"acc_norm_stderr\": 0.03684529491774709\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.7659574468085106,\n \"acc_stderr\": 0.02767845257821239,\n\
\ \"acc_norm\": 0.7659574468085106,\n \"acc_norm_stderr\": 0.02767845257821239\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5964912280701754,\n\
\ \"acc_stderr\": 0.04615186962583707,\n \"acc_norm\": 0.5964912280701754,\n\
\ \"acc_norm_stderr\": 0.04615186962583707\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.7724137931034483,\n \"acc_stderr\": 0.03493950380131184,\n\
\ \"acc_norm\": 0.7724137931034483,\n \"acc_norm_stderr\": 0.03493950380131184\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.6322751322751323,\n \"acc_stderr\": 0.02483383982556242,\n \"\
acc_norm\": 0.6322751322751323,\n \"acc_norm_stderr\": 0.02483383982556242\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5793650793650794,\n\
\ \"acc_stderr\": 0.04415438226743745,\n \"acc_norm\": 0.5793650793650794,\n\
\ \"acc_norm_stderr\": 0.04415438226743745\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.8935483870967742,\n\
\ \"acc_stderr\": 0.01754510295165663,\n \"acc_norm\": 0.8935483870967742,\n\
\ \"acc_norm_stderr\": 0.01754510295165663\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.6748768472906403,\n \"acc_stderr\": 0.032957975663112704,\n\
\ \"acc_norm\": 0.6748768472906403,\n \"acc_norm_stderr\": 0.032957975663112704\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\"\
: 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8484848484848485,\n \"acc_stderr\": 0.027998073798781675,\n\
\ \"acc_norm\": 0.8484848484848485,\n \"acc_norm_stderr\": 0.027998073798781675\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.9191919191919192,\n \"acc_stderr\": 0.019417681889724536,\n \"\
acc_norm\": 0.9191919191919192,\n \"acc_norm_stderr\": 0.019417681889724536\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9792746113989638,\n \"acc_stderr\": 0.010281417011909039,\n\
\ \"acc_norm\": 0.9792746113989638,\n \"acc_norm_stderr\": 0.010281417011909039\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.8051282051282052,\n \"acc_stderr\": 0.020083167595181393,\n\
\ \"acc_norm\": 0.8051282051282052,\n \"acc_norm_stderr\": 0.020083167595181393\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.4074074074074074,\n \"acc_stderr\": 0.029958249250082114,\n \
\ \"acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.029958249250082114\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.819327731092437,\n \"acc_stderr\": 0.02499196496660077,\n \
\ \"acc_norm\": 0.819327731092437,\n \"acc_norm_stderr\": 0.02499196496660077\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.5099337748344371,\n \"acc_stderr\": 0.04081677107248436,\n \"\
acc_norm\": 0.5099337748344371,\n \"acc_norm_stderr\": 0.04081677107248436\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.9211009174311927,\n \"acc_stderr\": 0.011558198113769574,\n \"\
acc_norm\": 0.9211009174311927,\n \"acc_norm_stderr\": 0.011558198113769574\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6481481481481481,\n \"acc_stderr\": 0.03256850570293648,\n \"\
acc_norm\": 0.6481481481481481,\n \"acc_norm_stderr\": 0.03256850570293648\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.9166666666666666,\n \"acc_stderr\": 0.019398452135813905,\n \"\
acc_norm\": 0.9166666666666666,\n \"acc_norm_stderr\": 0.019398452135813905\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.9113924050632911,\n \"acc_stderr\": 0.018498315206865384,\n \
\ \"acc_norm\": 0.9113924050632911,\n \"acc_norm_stderr\": 0.018498315206865384\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8071748878923767,\n\
\ \"acc_stderr\": 0.026478240960489365,\n \"acc_norm\": 0.8071748878923767,\n\
\ \"acc_norm_stderr\": 0.026478240960489365\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8625954198473282,\n \"acc_stderr\": 0.030194823996804468,\n\
\ \"acc_norm\": 0.8625954198473282,\n \"acc_norm_stderr\": 0.030194823996804468\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.9090909090909091,\n \"acc_stderr\": 0.02624319405407388,\n \"\
acc_norm\": 0.9090909090909091,\n \"acc_norm_stderr\": 0.02624319405407388\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8981481481481481,\n\
\ \"acc_stderr\": 0.029239272675632748,\n \"acc_norm\": 0.8981481481481481,\n\
\ \"acc_norm_stderr\": 0.029239272675632748\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.8834355828220859,\n \"acc_stderr\": 0.02521232721050711,\n\
\ \"acc_norm\": 0.8834355828220859,\n \"acc_norm_stderr\": 0.02521232721050711\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5535714285714286,\n\
\ \"acc_stderr\": 0.04718471485219587,\n \"acc_norm\": 0.5535714285714286,\n\
\ \"acc_norm_stderr\": 0.04718471485219587\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8640776699029126,\n \"acc_stderr\": 0.03393295729761011,\n\
\ \"acc_norm\": 0.8640776699029126,\n \"acc_norm_stderr\": 0.03393295729761011\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9316239316239316,\n\
\ \"acc_stderr\": 0.016534627684311357,\n \"acc_norm\": 0.9316239316239316,\n\
\ \"acc_norm_stderr\": 0.016534627684311357\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \
\ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.03379976689896309\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9042145593869731,\n\
\ \"acc_stderr\": 0.01052403107905584,\n \"acc_norm\": 0.9042145593869731,\n\
\ \"acc_norm_stderr\": 0.01052403107905584\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.8092485549132948,\n \"acc_stderr\": 0.021152676966575277,\n\
\ \"acc_norm\": 0.8092485549132948,\n \"acc_norm_stderr\": 0.021152676966575277\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6558659217877095,\n\
\ \"acc_stderr\": 0.015889221313307094,\n \"acc_norm\": 0.6558659217877095,\n\
\ \"acc_norm_stderr\": 0.015889221313307094\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.869281045751634,\n \"acc_stderr\": 0.01930187362421527,\n\
\ \"acc_norm\": 0.869281045751634,\n \"acc_norm_stderr\": 0.01930187362421527\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.842443729903537,\n\
\ \"acc_stderr\": 0.020692237273583984,\n \"acc_norm\": 0.842443729903537,\n\
\ \"acc_norm_stderr\": 0.020692237273583984\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8672839506172839,\n \"acc_stderr\": 0.018877353839571853,\n\
\ \"acc_norm\": 0.8672839506172839,\n \"acc_norm_stderr\": 0.018877353839571853\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.6099290780141844,\n \"acc_stderr\": 0.02909767559946393,\n \
\ \"acc_norm\": 0.6099290780141844,\n \"acc_norm_stderr\": 0.02909767559946393\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5990873533246415,\n\
\ \"acc_stderr\": 0.012516960350640814,\n \"acc_norm\": 0.5990873533246415,\n\
\ \"acc_norm_stderr\": 0.012516960350640814\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.8198529411764706,\n \"acc_stderr\": 0.02334516361654484,\n\
\ \"acc_norm\": 0.8198529411764706,\n \"acc_norm_stderr\": 0.02334516361654484\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.8186274509803921,\n \"acc_stderr\": 0.015588643495370463,\n \
\ \"acc_norm\": 0.8186274509803921,\n \"acc_norm_stderr\": 0.015588643495370463\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\
\ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\
\ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.8163265306122449,\n \"acc_stderr\": 0.024789071332007646,\n\
\ \"acc_norm\": 0.8163265306122449,\n \"acc_norm_stderr\": 0.024789071332007646\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.9104477611940298,\n\
\ \"acc_stderr\": 0.0201906705350279,\n \"acc_norm\": 0.9104477611940298,\n\
\ \"acc_norm_stderr\": 0.0201906705350279\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \
\ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\
\ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\
\ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8830409356725146,\n \"acc_stderr\": 0.024648068961366152,\n\
\ \"acc_norm\": 0.8830409356725146,\n \"acc_norm_stderr\": 0.024648068961366152\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3818849449204406,\n\
\ \"mc1_stderr\": 0.017008101939163495,\n \"mc2\": 0.5364445120598228,\n\
\ \"mc2_stderr\": 0.014804162952722544\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8255722178374112,\n \"acc_stderr\": 0.010665187902498438\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6163760424564063,\n \
\ \"acc_stderr\": 0.013394238584938161\n }\n}\n```"
repo_url: https://huggingface.co/01-ai/Yi-34B-200K
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_05T03_41_41.478096
path:
- '**/details_harness|arc:challenge|25_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|gsm8k|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hellaswag|10_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-41-41.478096.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T03-41-41.478096.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- '**/details_harness|winogrande|5_2023-12-05T03-41-41.478096.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T03-41-41.478096.parquet'
- config_name: results
data_files:
- split: 2023_12_05T03_41_41.478096
path:
- results_2023-12-05T03-41-41.478096.parquet
- split: latest
path:
- results_2023-12-05T03-41-41.478096.parquet
---
# Dataset Card for Evaluation run of 01-ai/Yi-34B-200K
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/01-ai/Yi-34B-200K
- **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 [01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K) 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_01-ai__Yi-34B-200K",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T03:41:41.478096](https://huggingface.co/datasets/open-llm-leaderboard/details_01-ai__Yi-34B-200K/blob/main/results_2023-12-05T03-41-41.478096.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": {
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"acc_stderr": 0.02837585903729335,
"acc_norm": 0.7603811984841083,
"acc_norm_stderr": 0.028905075105130153,
"mc1": 0.3818849449204406,
"mc1_stderr": 0.017008101939163495,
"mc2": 0.5364445120598228,
"mc2_stderr": 0.014804162952722544
},
"harness|arc:challenge|25": {
"acc": 0.6262798634812287,
"acc_stderr": 0.014137708601759091,
"acc_norm": 0.6535836177474402,
"acc_norm_stderr": 0.013905011180063227
},
"harness|hellaswag|10": {
"acc": 0.6557458673571002,
"acc_stderr": 0.004741534106470288,
"acc_norm": 0.8558056164110734,
"acc_norm_stderr": 0.0035056879433872927
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.42,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.42,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.7185185185185186,
"acc_stderr": 0.038850042458002526,
"acc_norm": 0.7185185185185186,
"acc_norm_stderr": 0.038850042458002526
},
"harness|hendrycksTest-astronomy|5": {
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"acc_stderr": 0.028081042939576552,
"acc_norm": 0.8618421052631579,
"acc_norm_stderr": 0.028081042939576552
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.8,
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"acc_norm": 0.8,
"acc_norm_stderr": 0.04020151261036843
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.8226415094339623,
"acc_stderr": 0.02350873921884694,
"acc_norm": 0.8226415094339623,
"acc_norm_stderr": 0.02350873921884694
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.875,
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"acc_norm": 0.875,
"acc_norm_stderr": 0.02765610492929436
},
"harness|hendrycksTest-college_chemistry|5": {
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"acc_norm": 0.51,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_computer_science|5": {
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"acc_stderr": 0.048523658709391,
"acc_norm": 0.63,
"acc_norm_stderr": 0.048523658709391
},
"harness|hendrycksTest-college_mathematics|5": {
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"acc_norm": 0.53,
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"harness|hendrycksTest-college_medicine|5": {
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"acc_norm": 0.49019607843137253,
"acc_norm_stderr": 0.04974229460422817
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.84,
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"acc_norm": 0.84,
"acc_norm_stderr": 0.03684529491774709
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"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.7659574468085106,
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"harness|hendrycksTest-econometrics|5": {
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"acc_norm": 0.5964912280701754,
"acc_norm_stderr": 0.04615186962583707
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"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.7724137931034483,
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"harness|hendrycksTest-formal_logic|5": {
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"harness|hendrycksTest-global_facts|5": {
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"harness|hendrycksTest-high_school_biology|5": {
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"harness|hendrycksTest-high_school_chemistry|5": {
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"harness|hendrycksTest-high_school_european_history|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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"harness|hendrycksTest-high_school_mathematics|5": {
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"acc_norm": 0.4074074074074074,
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"harness|hendrycksTest-high_school_psychology|5": {
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"acc_norm": 0.9211009174311927,
"acc_norm_stderr": 0.011558198113769574
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"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.6481481481481481,
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"harness|hendrycksTest-high_school_us_history|5": {
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"acc_norm_stderr": 0.019398452135813905
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"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.9113924050632911,
"acc_stderr": 0.018498315206865384,
"acc_norm": 0.9113924050632911,
"acc_norm_stderr": 0.018498315206865384
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"harness|hendrycksTest-human_aging|5": {
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"harness|hendrycksTest-international_law|5": {
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"harness|hendrycksTest-logical_fallacies|5": {
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"harness|hendrycksTest-machine_learning|5": {
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"acc_stderr": 0.04718471485219587,
"acc_norm": 0.5535714285714286,
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},
"harness|hendrycksTest-management|5": {
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"acc_norm_stderr": 0.03393295729761011
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"harness|hendrycksTest-marketing|5": {
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"harness|hendrycksTest-medical_genetics|5": {
"acc": 0.87,
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"harness|hendrycksTest-moral_disputes|5": {
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"harness|hendrycksTest-moral_scenarios|5": {
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"harness|hendrycksTest-nutrition|5": {
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"acc_norm": 0.869281045751634,
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"harness|hendrycksTest-philosophy|5": {
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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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"harness|hendrycksTest-public_relations|5": {
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"harness|hendrycksTest-security_studies|5": {
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"acc_norm": 0.8163265306122449,
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"harness|hendrycksTest-sociology|5": {
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"harness|hendrycksTest-us_foreign_policy|5": {
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"acc_norm": 0.92,
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"harness|hendrycksTest-virology|5": {
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"acc_norm": 0.5662650602409639,
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"harness|hendrycksTest-world_religions|5": {
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"acc_norm": 0.8830409356725146,
"acc_norm_stderr": 0.024648068961366152
},
"harness|truthfulqa:mc|0": {
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"mc1_stderr": 0.017008101939163495,
"mc2": 0.5364445120598228,
"mc2_stderr": 0.014804162952722544
},
"harness|winogrande|5": {
"acc": 0.8255722178374112,
"acc_stderr": 0.010665187902498438
},
"harness|gsm8k|5": {
"acc": 0.6163760424564063,
"acc_stderr": 0.013394238584938161
}
}
```
### 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_migtissera__Tess-M-Creative-v1.0 | open-llm-leaderboard | 2023-12-05T03:49:12Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T03:48:25Z | ---
pretty_name: Evaluation run of migtissera/Tess-M-Creative-v1.0
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [migtissera/Tess-M-Creative-v1.0](https://huggingface.co/migtissera/Tess-M-Creative-v1.0)\
\ 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_migtissera__Tess-M-Creative-v1.0\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T03:45:38.672992](https://huggingface.co/datasets/open-llm-leaderboard/details_migtissera__Tess-M-Creative-v1.0/blob/main/results_2023-12-05T03-45-38.672992.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\": 0.7506953369656723,\n\
\ \"acc_stderr\": 0.028559826064592703,\n \"acc_norm\": 0.755544561120704,\n\
\ \"acc_norm_stderr\": 0.029096967565438774,\n \"mc1\": 0.41982864137086906,\n\
\ \"mc1_stderr\": 0.01727703030177577,\n \"mc2\": 0.5768450076180885,\n\
\ \"mc2_stderr\": 0.014925146586405758\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6331058020477816,\n \"acc_stderr\": 0.014084133118104296,\n\
\ \"acc_norm\": 0.6680887372013652,\n \"acc_norm_stderr\": 0.01376098820088053\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6496713802031467,\n\
\ \"acc_stderr\": 0.004760978203023324,\n \"acc_norm\": 0.8514240191196972,\n\
\ \"acc_norm_stderr\": 0.003549431247907371\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6888888888888889,\n\
\ \"acc_stderr\": 0.039992628766177214,\n \"acc_norm\": 0.6888888888888889,\n\
\ \"acc_norm_stderr\": 0.039992628766177214\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.875,\n \"acc_stderr\": 0.026913523521537846,\n \
\ \"acc_norm\": 0.875,\n \"acc_norm_stderr\": 0.026913523521537846\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.76,\n\
\ \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\": 0.76,\n \
\ \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.8113207547169812,\n \"acc_stderr\": 0.024079995130062246,\n\
\ \"acc_norm\": 0.8113207547169812,\n \"acc_norm_stderr\": 0.024079995130062246\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8888888888888888,\n\
\ \"acc_stderr\": 0.026280550932848062,\n \"acc_norm\": 0.8888888888888888,\n\
\ \"acc_norm_stderr\": 0.026280550932848062\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.6,\n \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n\
\ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7167630057803468,\n\
\ \"acc_stderr\": 0.034355680560478746,\n \"acc_norm\": 0.7167630057803468,\n\
\ \"acc_norm_stderr\": 0.034355680560478746\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.049512182523962604,\n\
\ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.049512182523962604\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \"acc_norm\": 0.83,\n\
\ \"acc_norm_stderr\": 0.03775251680686371\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.774468085106383,\n \"acc_stderr\": 0.027321078417387533,\n\
\ \"acc_norm\": 0.774468085106383,\n \"acc_norm_stderr\": 0.027321078417387533\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5789473684210527,\n\
\ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.5789473684210527,\n\
\ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.7103448275862069,\n \"acc_stderr\": 0.03780019230438015,\n\
\ \"acc_norm\": 0.7103448275862069,\n \"acc_norm_stderr\": 0.03780019230438015\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.6931216931216931,\n \"acc_stderr\": 0.02375292871211214,\n \"\
acc_norm\": 0.6931216931216931,\n \"acc_norm_stderr\": 0.02375292871211214\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5317460317460317,\n\
\ \"acc_stderr\": 0.04463112720677173,\n \"acc_norm\": 0.5317460317460317,\n\
\ \"acc_norm_stderr\": 0.04463112720677173\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\
: 0.9,\n \"acc_stderr\": 0.017066403719657255,\n \"acc_norm\": 0.9,\n\
\ \"acc_norm_stderr\": 0.017066403719657255\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.6847290640394089,\n \"acc_stderr\": 0.03269080871970186,\n\
\ \"acc_norm\": 0.6847290640394089,\n \"acc_norm_stderr\": 0.03269080871970186\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\"\
: 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8484848484848485,\n \"acc_stderr\": 0.027998073798781668,\n\
\ \"acc_norm\": 0.8484848484848485,\n \"acc_norm_stderr\": 0.027998073798781668\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.9292929292929293,\n \"acc_stderr\": 0.01826310542019949,\n \"\
acc_norm\": 0.9292929292929293,\n \"acc_norm_stderr\": 0.01826310542019949\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9740932642487047,\n \"acc_stderr\": 0.01146452335695318,\n\
\ \"acc_norm\": 0.9740932642487047,\n \"acc_norm_stderr\": 0.01146452335695318\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.823076923076923,\n \"acc_stderr\": 0.019348070174396985,\n \
\ \"acc_norm\": 0.823076923076923,\n \"acc_norm_stderr\": 0.019348070174396985\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3888888888888889,\n \"acc_stderr\": 0.029723278961476668,\n \
\ \"acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.029723278961476668\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.8487394957983193,\n \"acc_stderr\": 0.023274255898707946,\n\
\ \"acc_norm\": 0.8487394957983193,\n \"acc_norm_stderr\": 0.023274255898707946\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.48344370860927155,\n \"acc_stderr\": 0.0408024418562897,\n \"\
acc_norm\": 0.48344370860927155,\n \"acc_norm_stderr\": 0.0408024418562897\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.9284403669724771,\n \"acc_stderr\": 0.011051255247815453,\n \"\
acc_norm\": 0.9284403669724771,\n \"acc_norm_stderr\": 0.011051255247815453\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6435185185185185,\n \"acc_stderr\": 0.032664783315272714,\n \"\
acc_norm\": 0.6435185185185185,\n \"acc_norm_stderr\": 0.032664783315272714\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.9117647058823529,\n \"acc_stderr\": 0.01990739979131695,\n \"\
acc_norm\": 0.9117647058823529,\n \"acc_norm_stderr\": 0.01990739979131695\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.9156118143459916,\n \"acc_stderr\": 0.01809424711647332,\n \
\ \"acc_norm\": 0.9156118143459916,\n \"acc_norm_stderr\": 0.01809424711647332\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8116591928251121,\n\
\ \"acc_stderr\": 0.026241132996407252,\n \"acc_norm\": 0.8116591928251121,\n\
\ \"acc_norm_stderr\": 0.026241132996407252\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8702290076335878,\n \"acc_stderr\": 0.029473649496907065,\n\
\ \"acc_norm\": 0.8702290076335878,\n \"acc_norm_stderr\": 0.029473649496907065\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.9008264462809917,\n \"acc_stderr\": 0.02728524631275896,\n \"\
acc_norm\": 0.9008264462809917,\n \"acc_norm_stderr\": 0.02728524631275896\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8796296296296297,\n\
\ \"acc_stderr\": 0.0314570385430625,\n \"acc_norm\": 0.8796296296296297,\n\
\ \"acc_norm_stderr\": 0.0314570385430625\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.8588957055214724,\n \"acc_stderr\": 0.027351605518389752,\n\
\ \"acc_norm\": 0.8588957055214724,\n \"acc_norm_stderr\": 0.027351605518389752\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5803571428571429,\n\
\ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.5803571428571429,\n\
\ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8543689320388349,\n \"acc_stderr\": 0.0349260647662379,\n\
\ \"acc_norm\": 0.8543689320388349,\n \"acc_norm_stderr\": 0.0349260647662379\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9273504273504274,\n\
\ \"acc_stderr\": 0.01700436856813234,\n \"acc_norm\": 0.9273504273504274,\n\
\ \"acc_norm_stderr\": 0.01700436856813234\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \
\ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9067688378033205,\n\
\ \"acc_stderr\": 0.010397417087292849,\n \"acc_norm\": 0.9067688378033205,\n\
\ \"acc_norm_stderr\": 0.010397417087292849\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.8092485549132948,\n \"acc_stderr\": 0.021152676966575284,\n\
\ \"acc_norm\": 0.8092485549132948,\n \"acc_norm_stderr\": 0.021152676966575284\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6972067039106146,\n\
\ \"acc_stderr\": 0.015366860386397112,\n \"acc_norm\": 0.6972067039106146,\n\
\ \"acc_norm_stderr\": 0.015366860386397112\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.8366013071895425,\n \"acc_stderr\": 0.021170623011213516,\n\
\ \"acc_norm\": 0.8366013071895425,\n \"acc_norm_stderr\": 0.021170623011213516\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8006430868167203,\n\
\ \"acc_stderr\": 0.022691033780549656,\n \"acc_norm\": 0.8006430868167203,\n\
\ \"acc_norm_stderr\": 0.022691033780549656\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8580246913580247,\n \"acc_stderr\": 0.019420260109438293,\n\
\ \"acc_norm\": 0.8580246913580247,\n \"acc_norm_stderr\": 0.019420260109438293\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.6205673758865248,\n \"acc_stderr\": 0.02894733885161409,\n \
\ \"acc_norm\": 0.6205673758865248,\n \"acc_norm_stderr\": 0.02894733885161409\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5951760104302477,\n\
\ \"acc_stderr\": 0.012536743830953979,\n \"acc_norm\": 0.5951760104302477,\n\
\ \"acc_norm_stderr\": 0.012536743830953979\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.8308823529411765,\n \"acc_stderr\": 0.022770868010113004,\n\
\ \"acc_norm\": 0.8308823529411765,\n \"acc_norm_stderr\": 0.022770868010113004\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.815359477124183,\n \"acc_stderr\": 0.01569702924075778,\n \
\ \"acc_norm\": 0.815359477124183,\n \"acc_norm_stderr\": 0.01569702924075778\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\
\ \"acc_stderr\": 0.04309118709946458,\n \"acc_norm\": 0.7181818181818181,\n\
\ \"acc_norm_stderr\": 0.04309118709946458\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.8408163265306122,\n \"acc_stderr\": 0.02342097206916635,\n\
\ \"acc_norm\": 0.8408163265306122,\n \"acc_norm_stderr\": 0.02342097206916635\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8905472636815921,\n\
\ \"acc_stderr\": 0.022076326101824657,\n \"acc_norm\": 0.8905472636815921,\n\
\ \"acc_norm_stderr\": 0.022076326101824657\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \
\ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5843373493975904,\n\
\ \"acc_stderr\": 0.03836722176598053,\n \"acc_norm\": 0.5843373493975904,\n\
\ \"acc_norm_stderr\": 0.03836722176598053\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8713450292397661,\n \"acc_stderr\": 0.025679342723276908,\n\
\ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.025679342723276908\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.41982864137086906,\n\
\ \"mc1_stderr\": 0.01727703030177577,\n \"mc2\": 0.5768450076180885,\n\
\ \"mc2_stderr\": 0.014925146586405758\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8310970797158642,\n \"acc_stderr\": 0.01052998141183891\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6209249431387415,\n \
\ \"acc_stderr\": 0.013363630295088356\n }\n}\n```"
repo_url: https://huggingface.co/migtissera/Tess-M-Creative-v1.0
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_05T03_45_38.672992
path:
- '**/details_harness|arc:challenge|25_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|gsm8k|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hellaswag|10_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-45-38.672992.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
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path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
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path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
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path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T03-45-38.672992.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- '**/details_harness|winogrande|5_2023-12-05T03-45-38.672992.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T03-45-38.672992.parquet'
- config_name: results
data_files:
- split: 2023_12_05T03_45_38.672992
path:
- results_2023-12-05T03-45-38.672992.parquet
- split: latest
path:
- results_2023-12-05T03-45-38.672992.parquet
---
# Dataset Card for Evaluation run of migtissera/Tess-M-Creative-v1.0
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/migtissera/Tess-M-Creative-v1.0
- **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 [migtissera/Tess-M-Creative-v1.0](https://huggingface.co/migtissera/Tess-M-Creative-v1.0) 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_migtissera__Tess-M-Creative-v1.0",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T03:45:38.672992](https://huggingface.co/datasets/open-llm-leaderboard/details_migtissera__Tess-M-Creative-v1.0/blob/main/results_2023-12-05T03-45-38.672992.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": 0.7506953369656723,
"acc_stderr": 0.028559826064592703,
"acc_norm": 0.755544561120704,
"acc_norm_stderr": 0.029096967565438774,
"mc1": 0.41982864137086906,
"mc1_stderr": 0.01727703030177577,
"mc2": 0.5768450076180885,
"mc2_stderr": 0.014925146586405758
},
"harness|arc:challenge|25": {
"acc": 0.6331058020477816,
"acc_stderr": 0.014084133118104296,
"acc_norm": 0.6680887372013652,
"acc_norm_stderr": 0.01376098820088053
},
"harness|hellaswag|10": {
"acc": 0.6496713802031467,
"acc_stderr": 0.004760978203023324,
"acc_norm": 0.8514240191196972,
"acc_norm_stderr": 0.003549431247907371
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.38,
"acc_stderr": 0.048783173121456316,
"acc_norm": 0.38,
"acc_norm_stderr": 0.048783173121456316
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.6888888888888889,
"acc_stderr": 0.039992628766177214,
"acc_norm": 0.6888888888888889,
"acc_norm_stderr": 0.039992628766177214
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.875,
"acc_stderr": 0.026913523521537846,
"acc_norm": 0.875,
"acc_norm_stderr": 0.026913523521537846
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.76,
"acc_stderr": 0.04292346959909283,
"acc_norm": 0.76,
"acc_norm_stderr": 0.04292346959909283
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.8113207547169812,
"acc_stderr": 0.024079995130062246,
"acc_norm": 0.8113207547169812,
"acc_norm_stderr": 0.024079995130062246
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.8888888888888888,
"acc_stderr": 0.026280550932848062,
"acc_norm": 0.8888888888888888,
"acc_norm_stderr": 0.026280550932848062
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.51,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.51,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.6,
"acc_stderr": 0.04923659639173309,
"acc_norm": 0.6,
"acc_norm_stderr": 0.04923659639173309
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001974
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.7167630057803468,
"acc_stderr": 0.034355680560478746,
"acc_norm": 0.7167630057803468,
"acc_norm_stderr": 0.034355680560478746
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.5490196078431373,
"acc_stderr": 0.049512182523962604,
"acc_norm": 0.5490196078431373,
"acc_norm_stderr": 0.049512182523962604
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.83,
"acc_stderr": 0.03775251680686371,
"acc_norm": 0.83,
"acc_norm_stderr": 0.03775251680686371
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.774468085106383,
"acc_stderr": 0.027321078417387533,
"acc_norm": 0.774468085106383,
"acc_norm_stderr": 0.027321078417387533
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5789473684210527,
"acc_stderr": 0.046446020912223177,
"acc_norm": 0.5789473684210527,
"acc_norm_stderr": 0.046446020912223177
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.7103448275862069,
"acc_stderr": 0.03780019230438015,
"acc_norm": 0.7103448275862069,
"acc_norm_stderr": 0.03780019230438015
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.6931216931216931,
"acc_stderr": 0.02375292871211214,
"acc_norm": 0.6931216931216931,
"acc_norm_stderr": 0.02375292871211214
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.5317460317460317,
"acc_stderr": 0.04463112720677173,
"acc_norm": 0.5317460317460317,
"acc_norm_stderr": 0.04463112720677173
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.58,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.58,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.9,
"acc_stderr": 0.017066403719657255,
"acc_norm": 0.9,
"acc_norm_stderr": 0.017066403719657255
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.6847290640394089,
"acc_stderr": 0.03269080871970186,
"acc_norm": 0.6847290640394089,
"acc_norm_stderr": 0.03269080871970186
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.79,
"acc_stderr": 0.040936018074033256,
"acc_norm": 0.79,
"acc_norm_stderr": 0.040936018074033256
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.8484848484848485,
"acc_stderr": 0.027998073798781668,
"acc_norm": 0.8484848484848485,
"acc_norm_stderr": 0.027998073798781668
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.9292929292929293,
"acc_stderr": 0.01826310542019949,
"acc_norm": 0.9292929292929293,
"acc_norm_stderr": 0.01826310542019949
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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_JosephusCheung__Yee-34B-200K-Chat | open-llm-leaderboard | 2023-12-05T04:19:30Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T04:18:43Z | ---
pretty_name: Evaluation run of JosephusCheung/Yee-34B-200K-Chat
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [JosephusCheung/Yee-34B-200K-Chat](https://huggingface.co/JosephusCheung/Yee-34B-200K-Chat)\
\ 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_JosephusCheung__Yee-34B-200K-Chat\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T04:15:54.776905](https://huggingface.co/datasets/open-llm-leaderboard/details_JosephusCheung__Yee-34B-200K-Chat/blob/main/results_2023-12-05T04-15-54.776905.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\": 0.7397087702526806,\n\
\ \"acc_stderr\": 0.028697152379174293,\n \"acc_norm\": 0.749145830773331,\n\
\ \"acc_norm_stderr\": 0.029232668522838182,\n \"mc1\": 0.379436964504284,\n\
\ \"mc1_stderr\": 0.01698703926614299,\n \"mc2\": 0.538842608150276,\n\
\ \"mc2_stderr\": 0.015448158590971197\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6254266211604096,\n \"acc_stderr\": 0.014144193471893446,\n\
\ \"acc_norm\": 0.6561433447098977,\n \"acc_norm_stderr\": 0.013880644570156218\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6506671977693687,\n\
\ \"acc_stderr\": 0.0047578490234119605,\n \"acc_norm\": 0.8432583150766779,\n\
\ \"acc_norm_stderr\": 0.003628140427399768\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \
\ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.7333333333333333,\n\
\ \"acc_stderr\": 0.038201699145179055,\n \"acc_norm\": 0.7333333333333333,\n\
\ \"acc_norm_stderr\": 0.038201699145179055\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.875,\n \"acc_stderr\": 0.026913523521537846,\n \
\ \"acc_norm\": 0.875,\n \"acc_norm_stderr\": 0.026913523521537846\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.79,\n\
\ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.79,\n \
\ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.8301886792452831,\n \"acc_stderr\": 0.023108393799841326,\n\
\ \"acc_norm\": 0.8301886792452831,\n \"acc_norm_stderr\": 0.023108393799841326\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.875,\n\
\ \"acc_stderr\": 0.02765610492929436,\n \"acc_norm\": 0.875,\n \
\ \"acc_norm_stderr\": 0.02765610492929436\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \
\ },\n \"harness|hendrycksTest-college_computer_science|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-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\": 0.6878612716763006,\n\
\ \"acc_stderr\": 0.03533133389323657,\n \"acc_norm\": 0.6878612716763006,\n\
\ \"acc_norm_stderr\": 0.03533133389323657\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.04940635630605659,\n\
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.04940635630605659\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.81,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\": 0.81,\n\
\ \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.7617021276595745,\n \"acc_stderr\": 0.027851252973889774,\n\
\ \"acc_norm\": 0.7617021276595745,\n \"acc_norm_stderr\": 0.027851252973889774\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5526315789473685,\n\
\ \"acc_stderr\": 0.04677473004491199,\n \"acc_norm\": 0.5526315789473685,\n\
\ \"acc_norm_stderr\": 0.04677473004491199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.7517241379310344,\n \"acc_stderr\": 0.03600105692727771,\n\
\ \"acc_norm\": 0.7517241379310344,\n \"acc_norm_stderr\": 0.03600105692727771\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.6375661375661376,\n \"acc_stderr\": 0.024757473902752045,\n \"\
acc_norm\": 0.6375661375661376,\n \"acc_norm_stderr\": 0.024757473902752045\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5158730158730159,\n\
\ \"acc_stderr\": 0.044698818540726076,\n \"acc_norm\": 0.5158730158730159,\n\
\ \"acc_norm_stderr\": 0.044698818540726076\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \
\ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.049888765156985884\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.8612903225806452,\n \"acc_stderr\": 0.019662961321414027,\n \"\
acc_norm\": 0.8612903225806452,\n \"acc_norm_stderr\": 0.019662961321414027\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.6206896551724138,\n \"acc_stderr\": 0.034139638059062345,\n \"\
acc_norm\": 0.6206896551724138,\n \"acc_norm_stderr\": 0.034139638059062345\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\"\
: 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8787878787878788,\n \"acc_stderr\": 0.02548549837334323,\n\
\ \"acc_norm\": 0.8787878787878788,\n \"acc_norm_stderr\": 0.02548549837334323\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.9040404040404041,\n \"acc_stderr\": 0.020984808610047926,\n \"\
acc_norm\": 0.9040404040404041,\n \"acc_norm_stderr\": 0.020984808610047926\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9689119170984456,\n \"acc_stderr\": 0.012525310625527046,\n\
\ \"acc_norm\": 0.9689119170984456,\n \"acc_norm_stderr\": 0.012525310625527046\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.7794871794871795,\n \"acc_stderr\": 0.0210206726808279,\n \
\ \"acc_norm\": 0.7794871794871795,\n \"acc_norm_stderr\": 0.0210206726808279\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.37037037037037035,\n \"acc_stderr\": 0.02944316932303154,\n \
\ \"acc_norm\": 0.37037037037037035,\n \"acc_norm_stderr\": 0.02944316932303154\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.819327731092437,\n \"acc_stderr\": 0.02499196496660077,\n \
\ \"acc_norm\": 0.819327731092437,\n \"acc_norm_stderr\": 0.02499196496660077\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.48344370860927155,\n \"acc_stderr\": 0.0408024418562897,\n \"\
acc_norm\": 0.48344370860927155,\n \"acc_norm_stderr\": 0.0408024418562897\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.9137614678899083,\n \"acc_stderr\": 0.012035597300116245,\n \"\
acc_norm\": 0.9137614678899083,\n \"acc_norm_stderr\": 0.012035597300116245\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.625,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.625,\n\
\ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
: {\n \"acc\": 0.9117647058823529,\n \"acc_stderr\": 0.019907399791316945,\n\
\ \"acc_norm\": 0.9117647058823529,\n \"acc_norm_stderr\": 0.019907399791316945\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.9156118143459916,\n \"acc_stderr\": 0.01809424711647332,\n \
\ \"acc_norm\": 0.9156118143459916,\n \"acc_norm_stderr\": 0.01809424711647332\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8116591928251121,\n\
\ \"acc_stderr\": 0.026241132996407256,\n \"acc_norm\": 0.8116591928251121,\n\
\ \"acc_norm_stderr\": 0.026241132996407256\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.9007633587786259,\n \"acc_stderr\": 0.026222235171477374,\n\
\ \"acc_norm\": 0.9007633587786259,\n \"acc_norm_stderr\": 0.026222235171477374\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.9008264462809917,\n \"acc_stderr\": 0.02728524631275896,\n \"\
acc_norm\": 0.9008264462809917,\n \"acc_norm_stderr\": 0.02728524631275896\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8888888888888888,\n\
\ \"acc_stderr\": 0.03038159675665167,\n \"acc_norm\": 0.8888888888888888,\n\
\ \"acc_norm_stderr\": 0.03038159675665167\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.8650306748466258,\n \"acc_stderr\": 0.02684576505455386,\n\
\ \"acc_norm\": 0.8650306748466258,\n \"acc_norm_stderr\": 0.02684576505455386\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6160714285714286,\n\
\ \"acc_stderr\": 0.04616143075028546,\n \"acc_norm\": 0.6160714285714286,\n\
\ \"acc_norm_stderr\": 0.04616143075028546\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8640776699029126,\n \"acc_stderr\": 0.033932957297610096,\n\
\ \"acc_norm\": 0.8640776699029126,\n \"acc_norm_stderr\": 0.033932957297610096\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9145299145299145,\n\
\ \"acc_stderr\": 0.01831589168562586,\n \"acc_norm\": 0.9145299145299145,\n\
\ \"acc_norm_stderr\": 0.01831589168562586\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352203,\n \
\ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352203\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8978288633461047,\n\
\ \"acc_stderr\": 0.010830724713134182,\n \"acc_norm\": 0.8978288633461047,\n\
\ \"acc_norm_stderr\": 0.010830724713134182\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.8092485549132948,\n \"acc_stderr\": 0.02115267696657528,\n\
\ \"acc_norm\": 0.8092485549132948,\n \"acc_norm_stderr\": 0.02115267696657528\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.7195530726256983,\n\
\ \"acc_stderr\": 0.015024083883322895,\n \"acc_norm\": 0.7195530726256983,\n\
\ \"acc_norm_stderr\": 0.015024083883322895\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.8300653594771242,\n \"acc_stderr\": 0.02150538312123138,\n\
\ \"acc_norm\": 0.8300653594771242,\n \"acc_norm_stderr\": 0.02150538312123138\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8006430868167203,\n\
\ \"acc_stderr\": 0.022691033780549656,\n \"acc_norm\": 0.8006430868167203,\n\
\ \"acc_norm_stderr\": 0.022691033780549656\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8827160493827161,\n \"acc_stderr\": 0.017903112615281123,\n\
\ \"acc_norm\": 0.8827160493827161,\n \"acc_norm_stderr\": 0.017903112615281123\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.6170212765957447,\n \"acc_stderr\": 0.02899908090480618,\n \
\ \"acc_norm\": 0.6170212765957447,\n \"acc_norm_stderr\": 0.02899908090480618\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5560625814863103,\n\
\ \"acc_stderr\": 0.012689708167787679,\n \"acc_norm\": 0.5560625814863103,\n\
\ \"acc_norm_stderr\": 0.012689708167787679\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.8014705882352942,\n \"acc_stderr\": 0.02423101337054109,\n\
\ \"acc_norm\": 0.8014705882352942,\n \"acc_norm_stderr\": 0.02423101337054109\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.8218954248366013,\n \"acc_stderr\": 0.015478369653108568,\n \
\ \"acc_norm\": 0.8218954248366013,\n \"acc_norm_stderr\": 0.015478369653108568\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7090909090909091,\n\
\ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.7090909090909091,\n\
\ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.8367346938775511,\n \"acc_stderr\": 0.023661699177098615,\n\
\ \"acc_norm\": 0.8367346938775511,\n \"acc_norm_stderr\": 0.023661699177098615\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8756218905472637,\n\
\ \"acc_stderr\": 0.023335401790166327,\n \"acc_norm\": 0.8756218905472637,\n\
\ \"acc_norm_stderr\": 0.023335401790166327\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.88,\n \"acc_stderr\": 0.032659863237109066,\n \
\ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.032659863237109066\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5903614457831325,\n\
\ \"acc_stderr\": 0.038284011150790206,\n \"acc_norm\": 0.5903614457831325,\n\
\ \"acc_norm_stderr\": 0.038284011150790206\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8654970760233918,\n \"acc_stderr\": 0.026168221344662297,\n\
\ \"acc_norm\": 0.8654970760233918,\n \"acc_norm_stderr\": 0.026168221344662297\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.379436964504284,\n\
\ \"mc1_stderr\": 0.01698703926614299,\n \"mc2\": 0.538842608150276,\n\
\ \"mc2_stderr\": 0.015448158590971197\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.797947908445146,\n \"acc_stderr\": 0.01128501375404745\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3479909021986353,\n \
\ \"acc_stderr\": 0.013120581030382132\n }\n}\n```"
repo_url: https://huggingface.co/JosephusCheung/Yee-34B-200K-Chat
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_05T04_15_54.776905
path:
- '**/details_harness|arc:challenge|25_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|gsm8k|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hellaswag|10_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T04-15-54.776905.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T04-15-54.776905.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- '**/details_harness|winogrande|5_2023-12-05T04-15-54.776905.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T04-15-54.776905.parquet'
- config_name: results
data_files:
- split: 2023_12_05T04_15_54.776905
path:
- results_2023-12-05T04-15-54.776905.parquet
- split: latest
path:
- results_2023-12-05T04-15-54.776905.parquet
---
# Dataset Card for Evaluation run of JosephusCheung/Yee-34B-200K-Chat
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/JosephusCheung/Yee-34B-200K-Chat
- **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 [JosephusCheung/Yee-34B-200K-Chat](https://huggingface.co/JosephusCheung/Yee-34B-200K-Chat) 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_JosephusCheung__Yee-34B-200K-Chat",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T04:15:54.776905](https://huggingface.co/datasets/open-llm-leaderboard/details_JosephusCheung__Yee-34B-200K-Chat/blob/main/results_2023-12-05T04-15-54.776905.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_stderr": 0.028697152379174293,
"acc_norm": 0.749145830773331,
"acc_norm_stderr": 0.029232668522838182,
"mc1": 0.379436964504284,
"mc1_stderr": 0.01698703926614299,
"mc2": 0.538842608150276,
"mc2_stderr": 0.015448158590971197
},
"harness|arc:challenge|25": {
"acc": 0.6254266211604096,
"acc_stderr": 0.014144193471893446,
"acc_norm": 0.6561433447098977,
"acc_norm_stderr": 0.013880644570156218
},
"harness|hellaswag|10": {
"acc": 0.6506671977693687,
"acc_stderr": 0.0047578490234119605,
"acc_norm": 0.8432583150766779,
"acc_norm_stderr": 0.003628140427399768
},
"harness|hendrycksTest-abstract_algebra|5": {
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"acc_stderr": 0.04988876515698589,
"acc_norm": 0.44,
"acc_norm_stderr": 0.04988876515698589
},
"harness|hendrycksTest-anatomy|5": {
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"acc_norm": 0.7333333333333333,
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},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.875,
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"acc_norm": 0.875,
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},
"harness|hendrycksTest-business_ethics|5": {
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"acc_norm": 0.79,
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},
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"acc_norm": 0.8301886792452831,
"acc_norm_stderr": 0.023108393799841326
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.875,
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"acc_norm": 0.875,
"acc_norm_stderr": 0.02765610492929436
},
"harness|hendrycksTest-college_chemistry|5": {
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"acc_norm": 0.5,
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},
"harness|hendrycksTest-college_computer_science|5": {
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"acc_norm": 0.58,
"acc_norm_stderr": 0.049604496374885836
},
"harness|hendrycksTest-college_mathematics|5": {
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"harness|hendrycksTest-college_medicine|5": {
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},
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"harness|hendrycksTest-conceptual_physics|5": {
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"harness|hendrycksTest-econometrics|5": {
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"harness|hendrycksTest-electrical_engineering|5": {
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"harness|hendrycksTest-global_facts|5": {
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"harness|hendrycksTest-high_school_biology|5": {
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"harness|hendrycksTest-high_school_chemistry|5": {
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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_macroeconomics|5": {
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"harness|hendrycksTest-high_school_us_history|5": {
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"harness|hendrycksTest-high_school_world_history|5": {
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"harness|hendrycksTest-human_aging|5": {
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"harness|hendrycksTest-international_law|5": {
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"harness|hendrycksTest-logical_fallacies|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-miscellaneous|5": {
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"harness|hendrycksTest-moral_scenarios|5": {
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},
"harness|hendrycksTest-nutrition|5": {
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"harness|hendrycksTest-philosophy|5": {
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"harness|hendrycksTest-prehistory|5": {
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"harness|hendrycksTest-professional_accounting|5": {
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"harness|hendrycksTest-sociology|5": {
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"harness|hendrycksTest-us_foreign_policy|5": {
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"harness|hendrycksTest-virology|5": {
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"harness|hendrycksTest-world_religions|5": {
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"harness|truthfulqa:mc|0": {
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"mc1_stderr": 0.01698703926614299,
"mc2": 0.538842608150276,
"mc2_stderr": 0.015448158590971197
},
"harness|winogrande|5": {
"acc": 0.797947908445146,
"acc_stderr": 0.01128501375404745
},
"harness|gsm8k|5": {
"acc": 0.3479909021986353,
"acc_stderr": 0.013120581030382132
}
}
```
### 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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|
KETI-AIR/kor_dbpedia_14 | KETI-AIR | 2023-12-05T04:29:58Z | 0 | 0 | [
"license:cc-by-sa-3.0",
"region:us"
]
| null | 2023-12-05T04:28:01Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: title
dtype: string
- name: content
dtype: string
- name: label
dtype: int32
splits:
- name: train
num_bytes: 207331112
num_examples: 560000
- name: test
num_bytes: 25970187
num_examples: 70000
download_size: 136871622
dataset_size: 233301299
license: cc-by-sa-3.0
---
# Dataset Card for "kor_dbpedia_14"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).
Lehmann, Jens, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann et al. "DBpedia–a large-scale, multilingual knowledge base extracted from Wikipedia." Semantic web 6, no. 2 (2015): 167-195.
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|
phantuecs/testtesttesttestest | phantuecs | 2023-12-05T04:35:35Z | 0 | 0 | [
"task_categories:audio-to-audio",
"size_categories:1M<n<10M",
"language:vi",
"language:en",
"license:mit",
"art",
"region:us"
]
| [
"audio-to-audio"
]
| 2023-12-05T04:32:04Z | ---
license: mit
language:
- vi
- en
task_categories:
- audio-to-audio
tags:
- art
pretty_name: fds
size_categories:
- 1M<n<10M
--- | [
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|
hippocrates/MedQA_train | hippocrates | 2023-12-05T20:29:07Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T04:34:53Z | ---
dataset_info:
features:
- name: id
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 28990738
num_examples: 10178
- name: valid
num_bytes: 3622152
num_examples: 1272
- name: test
num_bytes: 3678270
num_examples: 1273
download_size: 14570611
dataset_size: 36291160
---
# Dataset Card for "MedQA_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
ArianaSofia3100/AiModelsAriana | ArianaSofia3100 | 2023-12-05T23:38:40Z | 0 | 1 | [
"license:mit",
"region:us"
]
| null | 2023-12-05T04:56:44Z | ---
license: mit
---
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|
open-llm-leaderboard/details_Enoch__llama-65b-hf | open-llm-leaderboard | 2023-12-05T05:11:52Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T05:09:08Z | ---
pretty_name: Evaluation run of Enoch/llama-65b-hf
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [Enoch/llama-65b-hf](https://huggingface.co/Enoch/llama-65b-hf) 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_Enoch__llama-65b-hf\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T05:06:29.042599](https://huggingface.co/datasets/open-llm-leaderboard/details_Enoch__llama-65b-hf/blob/main/results_2023-12-05T05-06-29.042599.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\": 0.6380517777268255,\n\
\ \"acc_stderr\": 0.032178718879849834,\n \"acc_norm\": 0.6421210460838432,\n\
\ \"acc_norm_stderr\": 0.0328302725617492,\n \"mc1\": 0.28518971848225216,\n\
\ \"mc1_stderr\": 0.015805827874454892,\n \"mc2\": 0.43425303494253065,\n\
\ \"mc2_stderr\": 0.013768101142659904\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.5921501706484642,\n \"acc_stderr\": 0.014361097288449708,\n\
\ \"acc_norm\": 0.6331058020477816,\n \"acc_norm_stderr\": 0.014084133118104298\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6650069707229636,\n\
\ \"acc_stderr\": 0.004710234188047369,\n \"acc_norm\": 0.8608842859988051,\n\
\ \"acc_norm_stderr\": 0.003453599726736566\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.7171052631578947,\n \"acc_stderr\": 0.03665349695640767,\n\
\ \"acc_norm\": 0.7171052631578947,\n \"acc_norm_stderr\": 0.03665349695640767\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.6,\n\
\ \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\": 0.6,\n \
\ \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.6566037735849056,\n \"acc_stderr\": 0.02922452646912479,\n\
\ \"acc_norm\": 0.6566037735849056,\n \"acc_norm_stderr\": 0.02922452646912479\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7013888888888888,\n\
\ \"acc_stderr\": 0.03827052357950756,\n \"acc_norm\": 0.7013888888888888,\n\
\ \"acc_norm_stderr\": 0.03827052357950756\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
: 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.46,\n\
\ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
\ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5491329479768786,\n\
\ \"acc_stderr\": 0.03794012674697032,\n \"acc_norm\": 0.5491329479768786,\n\
\ \"acc_norm_stderr\": 0.03794012674697032\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082636,\n\
\ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082636\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.79,\n\
\ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\
\ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\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\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\
\ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.40476190476190477,\n \"acc_stderr\": 0.025279850397404904,\n \"\
acc_norm\": 0.40476190476190477,\n \"acc_norm_stderr\": 0.025279850397404904\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42857142857142855,\n\
\ \"acc_stderr\": 0.0442626668137991,\n \"acc_norm\": 0.42857142857142855,\n\
\ \"acc_norm_stderr\": 0.0442626668137991\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.7483870967741936,\n \"acc_stderr\": 0.024685979286239963,\n \"\
acc_norm\": 0.7483870967741936,\n \"acc_norm_stderr\": 0.024685979286239963\n\
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
: 0.41379310344827586,\n \"acc_stderr\": 0.03465304488406795,\n \"\
acc_norm\": 0.41379310344827586,\n \"acc_norm_stderr\": 0.03465304488406795\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\
: 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.031922715695483016,\n\
\ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.031922715695483016\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.797979797979798,\n \"acc_stderr\": 0.028606204289229862,\n \"\
acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229862\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.023381935348121448,\n\
\ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.023381935348121448\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.658974358974359,\n \"acc_stderr\": 0.02403548967633506,\n \
\ \"acc_norm\": 0.658974358974359,\n \"acc_norm_stderr\": 0.02403548967633506\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.3333333333333333,\n \"acc_stderr\": 0.028742040903948496,\n \
\ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.028742040903948496\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \
\ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.37748344370860926,\n \"acc_stderr\": 0.0395802723112157,\n \"\
acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.0395802723112157\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8293577981651377,\n \"acc_stderr\": 0.016129271025099864,\n \"\
acc_norm\": 0.8293577981651377,\n \"acc_norm_stderr\": 0.016129271025099864\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6111111111111112,\n \"acc_stderr\": 0.03324708911809117,\n \"\
acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.03324708911809117\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\
acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.8396624472573839,\n \"acc_stderr\": 0.02388438092596567,\n \
\ \"acc_norm\": 0.8396624472573839,\n \"acc_norm_stderr\": 0.02388438092596567\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6636771300448431,\n\
\ \"acc_stderr\": 0.031708824268455,\n \"acc_norm\": 0.6636771300448431,\n\
\ \"acc_norm_stderr\": 0.031708824268455\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.03641297081313729,\n\
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.03641297081313729\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8181818181818182,\n \"acc_stderr\": 0.035208939510976534,\n \"\
acc_norm\": 0.8181818181818182,\n \"acc_norm_stderr\": 0.035208939510976534\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\
\ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\
\ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742179,\n\
\ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742179\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\
\ \"acc_stderr\": 0.04745033255489124,\n \"acc_norm\": 0.49107142857142855,\n\
\ \"acc_norm_stderr\": 0.04745033255489124\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.03760178006026621,\n\
\ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.03760178006026621\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\
\ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\
\ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.68,\n \"acc_stderr\": 0.046882617226215034,\n \
\ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.046882617226215034\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8160919540229885,\n\
\ \"acc_stderr\": 0.01385372417092253,\n \"acc_norm\": 0.8160919540229885,\n\
\ \"acc_norm_stderr\": 0.01385372417092253\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.023703099525258176,\n\
\ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.023703099525258176\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.48268156424581005,\n\
\ \"acc_stderr\": 0.016712467441702517,\n \"acc_norm\": 0.48268156424581005,\n\
\ \"acc_norm_stderr\": 0.016712467441702517\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.6830065359477124,\n \"acc_stderr\": 0.02664327847450875,\n\
\ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.02664327847450875\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7266881028938906,\n\
\ \"acc_stderr\": 0.025311765975426125,\n \"acc_norm\": 0.7266881028938906,\n\
\ \"acc_norm_stderr\": 0.025311765975426125\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600713002,\n\
\ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600713002\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \
\ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4941329856584094,\n\
\ \"acc_stderr\": 0.012769356925216526,\n \"acc_norm\": 0.4941329856584094,\n\
\ \"acc_norm_stderr\": 0.012769356925216526\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.6213235294117647,\n \"acc_stderr\": 0.02946513363977613,\n\
\ \"acc_norm\": 0.6213235294117647,\n \"acc_norm_stderr\": 0.02946513363977613\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.6650326797385621,\n \"acc_stderr\": 0.01909422816700033,\n \
\ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.01909422816700033\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7454545454545455,\n\
\ \"acc_stderr\": 0.04172343038705383,\n \"acc_norm\": 0.7454545454545455,\n\
\ \"acc_norm_stderr\": 0.04172343038705383\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7183673469387755,\n \"acc_stderr\": 0.028795185574291282,\n\
\ \"acc_norm\": 0.7183673469387755,\n \"acc_norm_stderr\": 0.028795185574291282\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8009950248756219,\n\
\ \"acc_stderr\": 0.028231365092758406,\n \"acc_norm\": 0.8009950248756219,\n\
\ \"acc_norm_stderr\": 0.028231365092758406\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \
\ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\n \
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\
\ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\
\ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\
\ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.28518971848225216,\n\
\ \"mc1_stderr\": 0.015805827874454892,\n \"mc2\": 0.43425303494253065,\n\
\ \"mc2_stderr\": 0.013768101142659904\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.824782951854775,\n \"acc_stderr\": 0.010684179227706175\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.44806671721000757,\n \
\ \"acc_stderr\": 0.013697992668274522\n }\n}\n```"
repo_url: https://huggingface.co/Enoch/llama-65b-hf
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_05T05_06_29.042599
path:
- '**/details_harness|arc:challenge|25_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|gsm8k|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hellaswag|10_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T05-06-29.042599.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T05-06-29.042599.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- '**/details_harness|winogrande|5_2023-12-05T05-06-29.042599.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T05-06-29.042599.parquet'
- config_name: results
data_files:
- split: 2023_12_05T05_06_29.042599
path:
- results_2023-12-05T05-06-29.042599.parquet
- split: latest
path:
- results_2023-12-05T05-06-29.042599.parquet
---
# Dataset Card for Evaluation run of Enoch/llama-65b-hf
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/Enoch/llama-65b-hf
- **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 [Enoch/llama-65b-hf](https://huggingface.co/Enoch/llama-65b-hf) 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_Enoch__llama-65b-hf",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T05:06:29.042599](https://huggingface.co/datasets/open-llm-leaderboard/details_Enoch__llama-65b-hf/blob/main/results_2023-12-05T05-06-29.042599.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": 0.6380517777268255,
"acc_stderr": 0.032178718879849834,
"acc_norm": 0.6421210460838432,
"acc_norm_stderr": 0.0328302725617492,
"mc1": 0.28518971848225216,
"mc1_stderr": 0.015805827874454892,
"mc2": 0.43425303494253065,
"mc2_stderr": 0.013768101142659904
},
"harness|arc:challenge|25": {
"acc": 0.5921501706484642,
"acc_stderr": 0.014361097288449708,
"acc_norm": 0.6331058020477816,
"acc_norm_stderr": 0.014084133118104298
},
"harness|hellaswag|10": {
"acc": 0.6650069707229636,
"acc_stderr": 0.004710234188047369,
"acc_norm": 0.8608842859988051,
"acc_norm_stderr": 0.003453599726736566
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206845,
"acc_norm": 0.29,
"acc_norm_stderr": 0.045604802157206845
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.5777777777777777,
"acc_stderr": 0.04266763404099582,
"acc_norm": 0.5777777777777777,
"acc_norm_stderr": 0.04266763404099582
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.7171052631578947,
"acc_stderr": 0.03665349695640767,
"acc_norm": 0.7171052631578947,
"acc_norm_stderr": 0.03665349695640767
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.6,
"acc_stderr": 0.049236596391733084,
"acc_norm": 0.6,
"acc_norm_stderr": 0.049236596391733084
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.6566037735849056,
"acc_stderr": 0.02922452646912479,
"acc_norm": 0.6566037735849056,
"acc_norm_stderr": 0.02922452646912479
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.7013888888888888,
"acc_stderr": 0.03827052357950756,
"acc_norm": 0.7013888888888888,
"acc_norm_stderr": 0.03827052357950756
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620332
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.35,
"acc_stderr": 0.0479372485441102,
"acc_norm": 0.35,
"acc_norm_stderr": 0.0479372485441102
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.5491329479768786,
"acc_stderr": 0.03794012674697032,
"acc_norm": 0.5491329479768786,
"acc_norm_stderr": 0.03794012674697032
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.37254901960784315,
"acc_stderr": 0.04810840148082636,
"acc_norm": 0.37254901960784315,
"acc_norm_stderr": 0.04810840148082636
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.79,
"acc_stderr": 0.040936018074033256,
"acc_norm": 0.79,
"acc_norm_stderr": 0.040936018074033256
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.5829787234042553,
"acc_stderr": 0.03223276266711712,
"acc_norm": 0.5829787234042553,
"acc_norm_stderr": 0.03223276266711712
},
"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": 0.5586206896551724,
"acc_stderr": 0.04137931034482757,
"acc_norm": 0.5586206896551724,
"acc_norm_stderr": 0.04137931034482757
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.40476190476190477,
"acc_stderr": 0.025279850397404904,
"acc_norm": 0.40476190476190477,
"acc_norm_stderr": 0.025279850397404904
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.42857142857142855,
"acc_stderr": 0.0442626668137991,
"acc_norm": 0.42857142857142855,
"acc_norm_stderr": 0.0442626668137991
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.38,
"acc_stderr": 0.048783173121456316,
"acc_norm": 0.38,
"acc_norm_stderr": 0.048783173121456316
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.7483870967741936,
"acc_stderr": 0.024685979286239963,
"acc_norm": 0.7483870967741936,
"acc_norm_stderr": 0.024685979286239963
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.41379310344827586,
"acc_stderr": 0.03465304488406795,
"acc_norm": 0.41379310344827586,
"acc_norm_stderr": 0.03465304488406795
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.68,
"acc_stderr": 0.04688261722621504,
"acc_norm": 0.68,
"acc_norm_stderr": 0.04688261722621504
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.7878787878787878,
"acc_stderr": 0.031922715695483016,
"acc_norm": 0.7878787878787878,
"acc_norm_stderr": 0.031922715695483016
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.797979797979798,
"acc_stderr": 0.028606204289229862,
"acc_norm": 0.797979797979798,
"acc_norm_stderr": 0.028606204289229862
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.8808290155440415,
"acc_stderr": 0.023381935348121448,
"acc_norm": 0.8808290155440415,
"acc_norm_stderr": 0.023381935348121448
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.658974358974359,
"acc_stderr": 0.02403548967633506,
"acc_norm": 0.658974358974359,
"acc_norm_stderr": 0.02403548967633506
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.028742040903948496,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.028742040903948496
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.680672268907563,
"acc_stderr": 0.030283995525884396,
"acc_norm": 0.680672268907563,
"acc_norm_stderr": 0.030283995525884396
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.37748344370860926,
"acc_stderr": 0.0395802723112157,
"acc_norm": 0.37748344370860926,
"acc_norm_stderr": 0.0395802723112157
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8293577981651377,
"acc_stderr": 0.016129271025099864,
"acc_norm": 0.8293577981651377,
"acc_norm_stderr": 0.016129271025099864
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.6111111111111112,
"acc_stderr": 0.03324708911809117,
"acc_norm": 0.6111111111111112,
"acc_norm_stderr": 0.03324708911809117
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.8382352941176471,
"acc_stderr": 0.02584501798692692,
"acc_norm": 0.8382352941176471,
"acc_norm_stderr": 0.02584501798692692
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.8396624472573839,
"acc_stderr": 0.02388438092596567,
"acc_norm": 0.8396624472573839,
"acc_norm_stderr": 0.02388438092596567
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.6636771300448431,
"acc_stderr": 0.031708824268455,
"acc_norm": 0.6636771300448431,
"acc_norm_stderr": 0.031708824268455
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.7786259541984732,
"acc_stderr": 0.03641297081313729,
"acc_norm": 0.7786259541984732,
"acc_norm_stderr": 0.03641297081313729
},
"harness|hendrycksTest-international_law|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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|
NoahMartinezXiang/RAVDESS | NoahMartinezXiang | 2023-12-05T05:13:22Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-05T05:11:19Z | ---
license: apache-2.0
---
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|
nRuaif/anime_pretraining_2 | nRuaif | 2023-12-05T12:09:06Z | 0 | 0 | [
"license:cc-by-nc-4.0",
"region:us"
]
| null | 2023-12-05T05:32:05Z | ---
license: cc-by-nc-4.0
---
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|
KETI-AIR/kor_glue | KETI-AIR | 2023-12-05T06:00:09Z | 0 | 0 | [
"license:cc-by-4.0",
"region:us"
]
| null | 2023-12-05T05:42:54Z | ---
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configs:
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license: cc-by-4.0
---
# Dataset Card for "kor_glue"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@article{warstadt2018neural,
title={Neural Network Acceptability Judgments},
author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},
journal={arXiv preprint arXiv:1805.12471},
year={2018}
}
@inproceedings{wang2019glue,
title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},
note={In the Proceedings of ICLR.},
year={2019}
}
Note that each GLUE dataset has its own citation. Please see the source to see
the correct citation for each contained dataset.
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|
c4ba/teste | c4ba | 2023-12-05T05:43:02Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T05:43:00Z | ---
license: openrail
---
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|
c4ba/teste1111 | c4ba | 2023-12-09T05:45:48Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T05:43:23Z | ---
license: openrail
---
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|
c4ba/teste55345 | c4ba | 2023-12-09T07:57:34Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T05:44:20Z | ---
license: openrail
---
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|
Krovisch/Mordekaiser | Krovisch | 2023-12-05T07:18:04Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T06:07:51Z | ---
license: openrail
---
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|
open-llm-leaderboard/details_deepseek-ai__deepseek-llm-67b-chat | open-llm-leaderboard | 2023-12-05T06:11:18Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T06:09:20Z | ---
pretty_name: Evaluation run of deepseek-ai/deepseek-llm-67b-chat
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [deepseek-ai/deepseek-llm-67b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat)\
\ 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_deepseek-ai__deepseek-llm-67b-chat\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2023-12-05T06:06:20.627396](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-llm-67b-chat/blob/main/results_2023-12-05T06-06-20.627396.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\": 0.7227240538370808,\n\
\ \"acc_stderr\": 0.029576466543582935,\n \"acc_norm\": 0.7258398358306863,\n\
\ \"acc_norm_stderr\": 0.030154137036951443,\n \"mc1\": 0.39412484700122397,\n\
\ \"mc1_stderr\": 0.01710658814070033,\n \"mc2\": 0.5585391071400314,\n\
\ \"mc2_stderr\": 0.014952310343885264\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.6476109215017065,\n \"acc_stderr\": 0.013960142600598687,\n\
\ \"acc_norm\": 0.6774744027303754,\n \"acc_norm_stderr\": 0.013659980894277373\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6806413065126469,\n\
\ \"acc_stderr\": 0.004652753439460134,\n \"acc_norm\": 0.8681537542322246,\n\
\ \"acc_norm_stderr\": 0.003376320955916706\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.04960449637488583,\n \
\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.04960449637488583\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.674074074074074,\n\
\ \"acc_stderr\": 0.040491220417025055,\n \"acc_norm\": 0.674074074074074,\n\
\ \"acc_norm_stderr\": 0.040491220417025055\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.8223684210526315,\n \"acc_stderr\": 0.03110318238312338,\n\
\ \"acc_norm\": 0.8223684210526315,\n \"acc_norm_stderr\": 0.03110318238312338\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.86,\n\
\ \"acc_stderr\": 0.0348735088019777,\n \"acc_norm\": 0.86,\n \
\ \"acc_norm_stderr\": 0.0348735088019777\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.8075471698113208,\n \"acc_stderr\": 0.024262979839372277,\n\
\ \"acc_norm\": 0.8075471698113208,\n \"acc_norm_stderr\": 0.024262979839372277\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8333333333333334,\n\
\ \"acc_stderr\": 0.031164899666948617,\n \"acc_norm\": 0.8333333333333334,\n\
\ \"acc_norm_stderr\": 0.031164899666948617\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\"\
: 0.61,\n \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \
\ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7109826589595376,\n\
\ \"acc_stderr\": 0.034564257450869995,\n \"acc_norm\": 0.7109826589595376,\n\
\ \"acc_norm_stderr\": 0.034564257450869995\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105653,\n\
\ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105653\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.77,\n \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n\
\ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.7148936170212766,\n \"acc_stderr\": 0.02951319662553935,\n\
\ \"acc_norm\": 0.7148936170212766,\n \"acc_norm_stderr\": 0.02951319662553935\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5614035087719298,\n\
\ \"acc_stderr\": 0.04668000738510455,\n \"acc_norm\": 0.5614035087719298,\n\
\ \"acc_norm_stderr\": 0.04668000738510455\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.6551724137931034,\n \"acc_stderr\": 0.03960933549451207,\n\
\ \"acc_norm\": 0.6551724137931034,\n \"acc_norm_stderr\": 0.03960933549451207\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.5396825396825397,\n \"acc_stderr\": 0.025670080636909308,\n \"\
acc_norm\": 0.5396825396825397,\n \"acc_norm_stderr\": 0.025670080636909308\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5079365079365079,\n\
\ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.5079365079365079,\n\
\ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8290322580645161,\n\
\ \"acc_stderr\": 0.021417242936321582,\n \"acc_norm\": 0.8290322580645161,\n\
\ \"acc_norm_stderr\": 0.021417242936321582\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.6009852216748769,\n \"acc_stderr\": 0.03445487686264716,\n\
\ \"acc_norm\": 0.6009852216748769,\n \"acc_norm_stderr\": 0.03445487686264716\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.74,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\"\
: 0.74,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.8424242424242424,\n \"acc_stderr\": 0.028450388805284357,\n\
\ \"acc_norm\": 0.8424242424242424,\n \"acc_norm_stderr\": 0.028450388805284357\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.9040404040404041,\n \"acc_stderr\": 0.020984808610047933,\n \"\
acc_norm\": 0.9040404040404041,\n \"acc_norm_stderr\": 0.020984808610047933\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.9637305699481865,\n \"acc_stderr\": 0.013492659751295141,\n\
\ \"acc_norm\": 0.9637305699481865,\n \"acc_norm_stderr\": 0.013492659751295141\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.7282051282051282,\n \"acc_stderr\": 0.022556551010132354,\n\
\ \"acc_norm\": 0.7282051282051282,\n \"acc_norm_stderr\": 0.022556551010132354\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.35555555555555557,\n \"acc_stderr\": 0.02918571494985741,\n \
\ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.02918571494985741\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.819327731092437,\n \"acc_stderr\": 0.02499196496660076,\n \
\ \"acc_norm\": 0.819327731092437,\n \"acc_norm_stderr\": 0.02499196496660076\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.45695364238410596,\n \"acc_stderr\": 0.04067325174247443,\n \"\
acc_norm\": 0.45695364238410596,\n \"acc_norm_stderr\": 0.04067325174247443\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.8990825688073395,\n \"acc_stderr\": 0.012914673545364413,\n \"\
acc_norm\": 0.8990825688073395,\n \"acc_norm_stderr\": 0.012914673545364413\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.6712962962962963,\n \"acc_stderr\": 0.032036140846700596,\n \"\
acc_norm\": 0.6712962962962963,\n \"acc_norm_stderr\": 0.032036140846700596\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.9264705882352942,\n \"acc_stderr\": 0.018318855850089678,\n \"\
acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.018318855850089678\n\
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
acc\": 0.9029535864978903,\n \"acc_stderr\": 0.019269323025640262,\n \
\ \"acc_norm\": 0.9029535864978903,\n \"acc_norm_stderr\": 0.019269323025640262\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.820627802690583,\n\
\ \"acc_stderr\": 0.0257498195691928,\n \"acc_norm\": 0.820627802690583,\n\
\ \"acc_norm_stderr\": 0.0257498195691928\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.8625954198473282,\n \"acc_stderr\": 0.030194823996804475,\n\
\ \"acc_norm\": 0.8625954198473282,\n \"acc_norm_stderr\": 0.030194823996804475\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.8429752066115702,\n \"acc_stderr\": 0.03321244842547129,\n \"\
acc_norm\": 0.8429752066115702,\n \"acc_norm_stderr\": 0.03321244842547129\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8611111111111112,\n\
\ \"acc_stderr\": 0.03343270062869622,\n \"acc_norm\": 0.8611111111111112,\n\
\ \"acc_norm_stderr\": 0.03343270062869622\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.8343558282208589,\n \"acc_stderr\": 0.029208296231259104,\n\
\ \"acc_norm\": 0.8343558282208589,\n \"acc_norm_stderr\": 0.029208296231259104\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5357142857142857,\n\
\ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.5357142857142857,\n\
\ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808628,\n\
\ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808628\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9273504273504274,\n\
\ \"acc_stderr\": 0.01700436856813235,\n \"acc_norm\": 0.9273504273504274,\n\
\ \"acc_norm_stderr\": 0.01700436856813235\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \
\ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9080459770114943,\n\
\ \"acc_stderr\": 0.010333225570778518,\n \"acc_norm\": 0.9080459770114943,\n\
\ \"acc_norm_stderr\": 0.010333225570778518\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.7890173410404624,\n \"acc_stderr\": 0.021966309947043107,\n\
\ \"acc_norm\": 0.7890173410404624,\n \"acc_norm_stderr\": 0.021966309947043107\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4871508379888268,\n\
\ \"acc_stderr\": 0.01671697883804354,\n \"acc_norm\": 0.4871508379888268,\n\
\ \"acc_norm_stderr\": 0.01671697883804354\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.7941176470588235,\n \"acc_stderr\": 0.0231527224394023,\n\
\ \"acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.0231527224394023\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8038585209003215,\n\
\ \"acc_stderr\": 0.02255244778047803,\n \"acc_norm\": 0.8038585209003215,\n\
\ \"acc_norm_stderr\": 0.02255244778047803\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.8641975308641975,\n \"acc_stderr\": 0.0190615881815054,\n\
\ \"acc_norm\": 0.8641975308641975,\n \"acc_norm_stderr\": 0.0190615881815054\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.5851063829787234,\n \"acc_stderr\": 0.029392236584612496,\n \
\ \"acc_norm\": 0.5851063829787234,\n \"acc_norm_stderr\": 0.029392236584612496\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5814863102998696,\n\
\ \"acc_stderr\": 0.01259950560833647,\n \"acc_norm\": 0.5814863102998696,\n\
\ \"acc_norm_stderr\": 0.01259950560833647\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.7830882352941176,\n \"acc_stderr\": 0.025035845227711274,\n\
\ \"acc_norm\": 0.7830882352941176,\n \"acc_norm_stderr\": 0.025035845227711274\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.8088235294117647,\n \"acc_stderr\": 0.015908290136278053,\n \
\ \"acc_norm\": 0.8088235294117647,\n \"acc_norm_stderr\": 0.015908290136278053\n\
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\
\ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\
\ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\
: {\n \"acc\": 0.7795918367346939,\n \"acc_stderr\": 0.026537045312145287,\n\
\ \"acc_norm\": 0.7795918367346939,\n \"acc_norm_stderr\": 0.026537045312145287\n\
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8805970149253731,\n\
\ \"acc_stderr\": 0.02292879327721974,\n \"acc_norm\": 0.8805970149253731,\n\
\ \"acc_norm_stderr\": 0.02292879327721974\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
: {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \
\ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\
\ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\
\ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\
: {\n \"acc\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061456,\n\
\ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061456\n\
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.39412484700122397,\n\
\ \"mc1_stderr\": 0.01710658814070033,\n \"mc2\": 0.5585391071400314,\n\
\ \"mc2_stderr\": 0.014952310343885264\n },\n \"harness|winogrande|5\"\
: {\n \"acc\": 0.8421468034727704,\n \"acc_stderr\": 0.010247165248719763\n\
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6368460955269143,\n \
\ \"acc_stderr\": 0.013246614539839868\n }\n}\n```"
repo_url: https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat
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_05T06_06_20.627396
path:
- '**/details_harness|arc:challenge|25_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|gsm8k|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hellaswag|10_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-management|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T06-06-20.627396.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2023-12-05T06-06-20.627396.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- '**/details_harness|winogrande|5_2023-12-05T06-06-20.627396.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2023-12-05T06-06-20.627396.parquet'
- config_name: results
data_files:
- split: 2023_12_05T06_06_20.627396
path:
- results_2023-12-05T06-06-20.627396.parquet
- split: latest
path:
- results_2023-12-05T06-06-20.627396.parquet
---
# Dataset Card for Evaluation run of deepseek-ai/deepseek-llm-67b-chat
## Dataset Description
- **Homepage:**
- **Repository:** https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat
- **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 [deepseek-ai/deepseek-llm-67b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat) 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_deepseek-ai__deepseek-llm-67b-chat",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2023-12-05T06:06:20.627396](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-llm-67b-chat/blob/main/results_2023-12-05T06-06-20.627396.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": 0.7227240538370808,
"acc_stderr": 0.029576466543582935,
"acc_norm": 0.7258398358306863,
"acc_norm_stderr": 0.030154137036951443,
"mc1": 0.39412484700122397,
"mc1_stderr": 0.01710658814070033,
"mc2": 0.5585391071400314,
"mc2_stderr": 0.014952310343885264
},
"harness|arc:challenge|25": {
"acc": 0.6476109215017065,
"acc_stderr": 0.013960142600598687,
"acc_norm": 0.6774744027303754,
"acc_norm_stderr": 0.013659980894277373
},
"harness|hellaswag|10": {
"acc": 0.6806413065126469,
"acc_stderr": 0.004652753439460134,
"acc_norm": 0.8681537542322246,
"acc_norm_stderr": 0.003376320955916706
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.42,
"acc_stderr": 0.04960449637488583,
"acc_norm": 0.42,
"acc_norm_stderr": 0.04960449637488583
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.674074074074074,
"acc_stderr": 0.040491220417025055,
"acc_norm": 0.674074074074074,
"acc_norm_stderr": 0.040491220417025055
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.8223684210526315,
"acc_stderr": 0.03110318238312338,
"acc_norm": 0.8223684210526315,
"acc_norm_stderr": 0.03110318238312338
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.86,
"acc_stderr": 0.0348735088019777,
"acc_norm": 0.86,
"acc_norm_stderr": 0.0348735088019777
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.8075471698113208,
"acc_stderr": 0.024262979839372277,
"acc_norm": 0.8075471698113208,
"acc_norm_stderr": 0.024262979839372277
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.8333333333333334,
"acc_stderr": 0.031164899666948617,
"acc_norm": 0.8333333333333334,
"acc_norm_stderr": 0.031164899666948617
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.61,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.61,
"acc_norm_stderr": 0.04902071300001975
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.44,
"acc_stderr": 0.04988876515698589,
"acc_norm": 0.44,
"acc_norm_stderr": 0.04988876515698589
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.7109826589595376,
"acc_stderr": 0.034564257450869995,
"acc_norm": 0.7109826589595376,
"acc_norm_stderr": 0.034564257450869995
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.3627450980392157,
"acc_stderr": 0.04784060704105653,
"acc_norm": 0.3627450980392157,
"acc_norm_stderr": 0.04784060704105653
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.77,
"acc_stderr": 0.04229525846816505,
"acc_norm": 0.77,
"acc_norm_stderr": 0.04229525846816505
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.7148936170212766,
"acc_stderr": 0.02951319662553935,
"acc_norm": 0.7148936170212766,
"acc_norm_stderr": 0.02951319662553935
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.5614035087719298,
"acc_stderr": 0.04668000738510455,
"acc_norm": 0.5614035087719298,
"acc_norm_stderr": 0.04668000738510455
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.6551724137931034,
"acc_stderr": 0.03960933549451207,
"acc_norm": 0.6551724137931034,
"acc_norm_stderr": 0.03960933549451207
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.5396825396825397,
"acc_stderr": 0.025670080636909308,
"acc_norm": 0.5396825396825397,
"acc_norm_stderr": 0.025670080636909308
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.5079365079365079,
"acc_stderr": 0.044715725362943486,
"acc_norm": 0.5079365079365079,
"acc_norm_stderr": 0.044715725362943486
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.8290322580645161,
"acc_stderr": 0.021417242936321582,
"acc_norm": 0.8290322580645161,
"acc_norm_stderr": 0.021417242936321582
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.6009852216748769,
"acc_stderr": 0.03445487686264716,
"acc_norm": 0.6009852216748769,
"acc_norm_stderr": 0.03445487686264716
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.74,
"acc_stderr": 0.0440844002276808,
"acc_norm": 0.74,
"acc_norm_stderr": 0.0440844002276808
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.8424242424242424,
"acc_stderr": 0.028450388805284357,
"acc_norm": 0.8424242424242424,
"acc_norm_stderr": 0.028450388805284357
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.9040404040404041,
"acc_stderr": 0.020984808610047933,
"acc_norm": 0.9040404040404041,
"acc_norm_stderr": 0.020984808610047933
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.9637305699481865,
"acc_stderr": 0.013492659751295141,
"acc_norm": 0.9637305699481865,
"acc_norm_stderr": 0.013492659751295141
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.7282051282051282,
"acc_stderr": 0.022556551010132354,
"acc_norm": 0.7282051282051282,
"acc_norm_stderr": 0.022556551010132354
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.35555555555555557,
"acc_stderr": 0.02918571494985741,
"acc_norm": 0.35555555555555557,
"acc_norm_stderr": 0.02918571494985741
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.819327731092437,
"acc_stderr": 0.02499196496660076,
"acc_norm": 0.819327731092437,
"acc_norm_stderr": 0.02499196496660076
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.45695364238410596,
"acc_stderr": 0.04067325174247443,
"acc_norm": 0.45695364238410596,
"acc_norm_stderr": 0.04067325174247443
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.8990825688073395,
"acc_stderr": 0.012914673545364413,
"acc_norm": 0.8990825688073395,
"acc_norm_stderr": 0.012914673545364413
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.6712962962962963,
"acc_stderr": 0.032036140846700596,
"acc_norm": 0.6712962962962963,
"acc_norm_stderr": 0.032036140846700596
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.9264705882352942,
"acc_stderr": 0.018318855850089678,
"acc_norm": 0.9264705882352942,
"acc_norm_stderr": 0.018318855850089678
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.9029535864978903,
"acc_stderr": 0.019269323025640262,
"acc_norm": 0.9029535864978903,
"acc_norm_stderr": 0.019269323025640262
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.820627802690583,
"acc_stderr": 0.0257498195691928,
"acc_norm": 0.820627802690583,
"acc_norm_stderr": 0.0257498195691928
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.8625954198473282,
"acc_stderr": 0.030194823996804475,
"acc_norm": 0.8625954198473282,
"acc_norm_stderr": 0.030194823996804475
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.8429752066115702,
"acc_stderr": 0.03321244842547129,
"acc_norm": 0.8429752066115702,
"acc_norm_stderr": 0.03321244842547129
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.8611111111111112,
"acc_stderr": 0.03343270062869622,
"acc_norm": 0.8611111111111112,
"acc_norm_stderr": 0.03343270062869622
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.8343558282208589,
"acc_stderr": 0.029208296231259104,
"acc_norm": 0.8343558282208589,
"acc_norm_stderr": 0.029208296231259104
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.5357142857142857,
"acc_stderr": 0.04733667890053756,
"acc_norm": 0.5357142857142857,
"acc_norm_stderr": 0.04733667890053756
},
"harness|hendrycksTest-management|5": {
"acc": 0.8737864077669902,
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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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|
KETI-AIR/kor_hellaswag | KETI-AIR | 2023-12-05T06:23:43Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-05T06:22:14Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: ind
dtype: int32
- name: activity_label
dtype: string
- name: ctx_a
dtype: string
- name: ctx_b
dtype: string
- name: ctx
dtype: string
- name: endings
sequence: string
- name: source_id
dtype: string
- name: split
dtype: string
- name: split_type
dtype: string
- name: label
dtype: string
- name: joined
sequence: string
splits:
- name: train
num_bytes: 105739666
num_examples: 39905
- name: validation
num_bytes: 27367976
num_examples: 10042
- name: test
num_bytes: 26340397
num_examples: 10003
download_size: 69994643
dataset_size: 159448039
license: mit
---
# Dataset Card for "kor_hellaswag"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@inproceedings{zellers2019hellaswag,
title={HellaSwag: Can a Machine Really Finish Your Sentence?},
author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
year={2019}
}
``` | [
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|
tiennv/vietnamese-corpus | tiennv | 2023-12-05T06:59:38Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T06:34:08Z | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 8142342251
num_examples: 19233991
download_size: 4233458271
dataset_size: 8142342251
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "vietnamese-corpus"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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|
KETI-AIR/kor_nq_open | KETI-AIR | 2023-12-05T06:39:46Z | 0 | 0 | [
"license:cc-by-sa-3.0",
"region:us"
]
| null | 2023-12-05T06:35:09Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: question
dtype: string
- name: answer
sequence: string
splits:
- name: train
num_bytes: 8520218
num_examples: 87925
- name: validation
num_bytes: 394518
num_examples: 3610
download_size: 5925491
dataset_size: 8914736
license: cc-by-sa-3.0
---
# Dataset Card for "kor_nq_open"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@article{doi:10.1162/tacl\_a\_00276,
author = {Kwiatkowski, Tom and Palomaki, Jennimaria and Redfield, Olivia and Collins, Michael and Parikh, Ankur and Alberti, Chris and Epstein, Danielle and Polosukhin, Illia and Devlin, Jacob and Lee, Kenton and Toutanova, Kristina and Jones, Llion and Kelcey, Matthew and Chang, Ming-Wei and Dai, Andrew M. and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav},
title = {Natural Questions: A Benchmark for Question Answering Research},
journal = {Transactions of the Association for Computational Linguistics},
volume = {7},
number = {},
pages = {453-466},
year = {2019},
doi = {10.1162/tacl\_a\_00276},
URL = {
https://doi.org/10.1162/tacl_a_00276
},
eprint = {
https://doi.org/10.1162/tacl_a_00276
},
abstract = { We present the Natural Questions corpus, a question answering data set. Questions consist of real anonymized, aggregated queries issued to the Google search engine. An annotator is presented with a question along with a Wikipedia page from the top 5 search results, and annotates a long answer (typically a paragraph) and a short answer (one or more entities) if present on the page, or marks null if no long/short answer is present. The public release consists of 307,373 training examples with single annotations; 7,830 examples with 5-way annotations for development data; and a further 7,842 examples with 5-way annotated sequestered as test data. We present experiments validating quality of the data. We also describe analysis of 25-way annotations on 302 examples, giving insights into human variability on the annotation task. We introduce robust metrics for the purposes of evaluating question answering systems; demonstrate high human upper bounds on these metrics; and establish baseline results using competitive methods drawn from related literature. }
}
@inproceedings{lee-etal-2019-latent,
title = "Latent Retrieval for Weakly Supervised Open Domain Question Answering",
author = "Lee, Kenton and
Chang, Ming-Wei and
Toutanova, Kristina",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/P19-1612",
doi = "10.18653/v1/P19-1612",
pages = "6086--6096",
abstract = "Recent work on open domain question answering (QA) assumes strong supervision of the supporting evidence and/or assumes a blackbox information retrieval (IR) system to retrieve evidence candidates. We argue that both are suboptimal, since gold evidence is not always available, and QA is fundamentally different from IR. We show for the first time that it is possible to jointly learn the retriever and reader from question-answer string pairs and without any IR system. In this setting, evidence retrieval from all of Wikipedia is treated as a latent variable. Since this is impractical to learn from scratch, we pre-train the retriever with an Inverse Cloze Task. We evaluate on open versions of five QA datasets. On datasets where the questioner already knows the answer, a traditional IR system such as BM25 is sufficient. On datasets where a user is genuinely seeking an answer, we show that learned retrieval is crucial, outperforming BM25 by up to 19 points in exact match.",
}
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|
BrunoGR/testingValuesOutput | BrunoGR | 2023-12-05T07:13:07Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T06:52:45Z | ---
dataset_info:
features:
- name: input
dtype: string
- name: GPT3_output
dtype: string
- name: FTunned_Model_Output
dtype: string
- name: Base_Model_Output
dtype: string
- name: Prompt_en
dtype: string
splits:
- name: test
num_bytes: 2899420
num_examples: 1320
download_size: 1038046
dataset_size: 2899420
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
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|
morj/renaissance_portraits | morj | 2023-12-06T01:11:13Z | 0 | 0 | [
"task_categories:text-to-image",
"size_categories:n<1K",
"language:en",
"license:cc-by-nc-sa-4.0",
"doi:10.57967/hf/1427",
"region:us"
]
| [
"text-to-image"
]
| 2023-12-05T07:07:19Z | ---
license: cc-by-nc-sa-4.0
task_categories:
- text-to-image
language:
- en
pretty_name: r
size_categories:
- n<1K
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|
sankovic/jotapedataset | sankovic | 2023-12-05T07:20:50Z | 0 | 0 | [
"license:openrail",
"region:us"
]
| null | 2023-12-05T07:19:48Z | ---
license: openrail
---
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|
KETI-AIR/kor_piqa | KETI-AIR | 2023-12-05T07:27:32Z | 0 | 0 | [
"license:afl-3.0",
"region:us"
]
| null | 2023-12-05T07:23:15Z | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: data_index_by_user
dtype: int32
- name: goal
dtype: string
- name: sol1
dtype: string
- name: sol2
dtype: string
- name: label
dtype: int32
splits:
- name: train
num_bytes: 5065072
num_examples: 16113
- name: validation
num_bytes: 563144
num_examples: 1838
- name: test
num_bytes: 935859
num_examples: 3084
download_size: 3857117
dataset_size: 6564075
license: afl-3.0
---
# Dataset Card for "kor_piqa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# Source Data Citation Information
```
@inproceedings{Bisk2020,
author = {Yonatan Bisk and Rowan Zellers and
Ronan Le Bras and Jianfeng Gao
and Yejin Choi},
title = {PIQA: Reasoning about Physical Commonsense in
Natural Language},
booktitle = {Thirty-Fourth AAAI Conference on
Artificial Intelligence},
year = {2020},
}
``` | [
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|
jacobtwop/jacobtwop-repo | jacobtwop | 2023-12-05T07:24:55Z | 0 | 0 | [
"task_categories:question-answering",
"license:artistic-2.0",
"region:us"
]
| [
"question-answering"
]
| 2023-12-05T07:23:53Z | ---
license: artistic-2.0
task_categories:
- question-answering
--- | [
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|
automated-research-group/llama2_7b_chat-commonsense_qa-results | automated-research-group | 2023-12-05T07:33:48Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T07:32:52Z | ---
dataset_info:
config_name: '{''do_sample''=False, ''beams''=1}'
features:
- name: id
dtype: string
- name: prediction
dtype: string
- name: commonsense_qa_accuracy
dtype: bool
splits:
- name: train
num_bytes: 159243
num_examples: 1221
download_size: 83126
dataset_size: 159243
configs:
- config_name: '{''do_sample''=False, ''beams''=1}'
data_files:
- split: train
path: '{''do_sample''=False, ''beams''=1}/train-*'
---
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|
EnochLee/dlhlp-hw7-data | EnochLee | 2023-12-05T07:40:43Z | 0 | 0 | [
"license:cc-by-3.0",
"region:us"
]
| null | 2023-12-05T07:40:42Z | ---
license: cc-by-3.0
---
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|
BoooomNing/CNetImg2Img-set | BoooomNing | 2023-12-05T13:29:15Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T07:40:46Z | ---
dataset_info:
features:
- name: id
dtype: int32
- name: superimposed_image
dtype: image
- name: next_frame
dtype: image
splits:
- name: train
num_bytes: 1203986501.369
num_examples: 7011
download_size: 1173992194
dataset_size: 1203986501.369
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
romaingrx/sycophancy_rotten_tomatoes | romaingrx | 2023-12-05T17:55:10Z | 0 | 0 | [
"task_categories:zero-shot-classification",
"task_categories:text-classification",
"language:en",
"license:openrail",
"region:us"
]
| [
"zero-shot-classification",
"text-classification"
]
| 2023-12-05T07:48:06Z | ---
license: openrail
task_categories:
- zero-shot-classification
- text-classification
language:
- en
---
# Sycophancy Rotten Tomatoes Dataset
The generated dataset includes a text (chat between a human and an assistant), the sycophancy of the exchange, and additional information.
### Dataset Structure
The dataset is structured as follows:
- `text`: The generated prompt text of the chat between the human and the assistant.
- `assistant_opinion`: The assistant's opinion, converted to a label (i.e. its final answer.
- `human_opinion`: The human's opinion, converted to a label.
- `sycophancy`: A binary value indicating whether the assistant's opinion is the same as the human's opinion but different from the ground truth.
- `comment`: The initial comment from Rotten Tomatoes.
- `ground_truth`: The actual label of the initial comment.
- `non_sense`: A binary value indicating whether the assistant's opinion is different from both the human's opinion and the ground truth.
> The `non_sense` column reports instances where the assistant provides an answer that differs from the ground truth, even though the human has given their opinion that matches the correct label. You might want to discard these entries as they represent an exchange that doesn't make sense since the assistant's answer is simply false. | [
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|
qiezhian/open-test | qiezhian | 2023-12-05T07:51:07Z | 0 | 0 | [
"license:apache-2.0",
"region:us"
]
| null | 2023-12-05T07:51:06Z | ---
license: apache-2.0
---
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|
ContinuumLabs/alpaca-cleaned | ContinuumLabs | 2023-12-05T07:57:14Z | 0 | 0 | [
"license:mit",
"region:us"
]
| null | 2023-12-05T07:57:10Z | ---
license: mit
---
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|
ChrisRaynor/test_b_coco_image | ChrisRaynor | 2023-12-05T07:58:32Z | 0 | 0 | [
"region:us"
]
| null | 2023-12-05T07:58:10Z | ---
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 23743095.0
num_examples: 133
download_size: 23658068
dataset_size: 23743095.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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|
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