Easy2Hard-IRT-tune / README.md
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---
dataset_info:
- config_name: human_v4
features:
- name: irt_model
dtype: string
- name: irt_lr
dtype: string
- name: irt_epochs
dtype: string
- name: irt_std_filter_ratio
dtype: float64
- name: GPT_2.0_acc
dtype: float64
- name: GPT_2.0_ratio
dtype: float64
splits:
- name: GSM8K
num_bytes: 562.0
num_examples: 12
- name: ARC
num_bytes: 562.0
num_examples: 12
- name: Winogrande
num_bytes: 562.0
num_examples: 12
download_size: 10550
dataset_size: 1686.0
- config_name: human_v4_1
features:
- name: irt_model
dtype: string
- name: irt_lr
dtype: string
- name: irt_epochs
dtype: string
- name: irt_std_filter_ratio
dtype: float64
- name: GPT_2.0_acc
dtype: float64
- name: GPT_2.0_ratio
dtype: float64
splits:
- name: GSM8K
num_bytes: 562.0
num_examples: 12
- name: ARC
num_bytes: 562.0
num_examples: 12
- name: Winogrande
num_bytes: 562.0
num_examples: 12
download_size: 10534
dataset_size: 1686.0
- config_name: new_v4
features:
- name: acc_uncertainty
dtype: float64
- name: irt_minlikes
dtype: string
- name: irt_model
dtype: 'null'
- name: irt_lr
dtype: 'null'
- name: irt_epochs
dtype: 'null'
- name: irt_std_filter_ratio
dtype: float64
- name: GPT_0.0_acc
dtype: float64
- name: GPT_0.0_ratio
dtype: float64
- name: GPT_0.5_acc
dtype: float64
- name: GPT_0.5_ratio
dtype: float64
- name: GPT_1.0_acc
dtype: float64
- name: GPT_1.0_ratio
dtype: float64
- name: GPT_1.5_acc
dtype: float64
- name: GPT_1.5_ratio
dtype: float64
- name: GPT_2.0_acc
dtype: float64
- name: GPT_2.0_ratio
dtype: float64
- name: GPT_2.5_acc
dtype: float64
- name: GPT_2.5_ratio
dtype: float64
- name: GPT_3.0_acc
dtype: float64
- name: GPT_3.0_ratio
dtype: float64
- name: GPT_3.5_acc
dtype: float64
- name: GPT_3.5_ratio
dtype: float64
- name: GPT_4.0_acc
dtype: float64
- name: GPT_4.0_ratio
dtype: float64
- name: GPT_4.5_acc
dtype: float64
- name: GPT_4.5_ratio
dtype: float64
- name: GPT_5.0_acc
dtype: float64
- name: GPT_5.0_ratio
dtype: float64
splits:
- name: GSM8K
num_bytes: 15257.0
num_examples: 77
- name: ARC
num_bytes: 15257.0
num_examples: 77
- name: HellaSwag
num_bytes: 15257.0
num_examples: 77
- name: Winogrande
num_bytes: 15257.0
num_examples: 77
download_size: 104580
dataset_size: 61028.0
- config_name: v1
features:
- name: 'Unnamed: 0'
dtype: int64
- name: irt_params
dtype: string
- name: IRT_0_GPT_0
dtype: float64
- name: IRT_0_GPT_0.5
dtype: float64
- name: IRT_0_GPT_1.0
dtype: float64
- name: IRT_0_GPT_1.5
dtype: float64
- name: IRT_0.02_GPT_0
dtype: float64
- name: IRT_0.02_GPT_0.5
dtype: float64
- name: IRT_0.02_GPT_1.0
dtype: float64
- name: IRT_0.02_GPT_1.5
dtype: float64
- name: IRT_0.05_GPT_0
dtype: float64
- name: IRT_0.05_GPT_0.5
dtype: float64
- name: IRT_0.05_GPT_1.0
dtype: float64
- name: IRT_0.05_GPT_1.5
dtype: float64
- name: IRT_0.1_GPT_0
dtype: float64
- name: IRT_0.1_GPT_0.5
dtype: float64
- name: IRT_0.1_GPT_1.0
dtype: float64
- name: IRT_0.1_GPT_1.5
dtype: float64
- name: IRT_0.15_GPT_0
dtype: float64
- name: IRT_0.15_GPT_0.5
dtype: float64
- name: IRT_0.15_GPT_1.0
dtype: float64
- name: IRT_0.15_GPT_1.5
dtype: float64
splits:
- name: GSM8K
num_bytes: 59731
num_examples: 276
- name: ARC
num_bytes: 59733
num_examples: 276
- name: HellaSwag
num_bytes: 59614
num_examples: 268
- name: Winogrande
num_bytes: 59169
num_examples: 266
download_size: 242426
dataset_size: 238247
- config_name: v2
features:
- name: 'Unnamed: 0'
dtype: int64
- name: irt_params
dtype: string
- name: irt_std_filter_ratio
dtype: float64
- name: GPT_0
dtype: float64
- name: GPT_0.5
dtype: float64
- name: GPT_1.0
dtype: float64
- name: GPT_1.5
dtype: float64
splits:
- name: GSM8K
num_bytes: 27984
num_examples: 288
- name: ARC
num_bytes: 27984
num_examples: 288
- name: HellaSwag
num_bytes: 29607
num_examples: 287
- name: Winogrande
num_bytes: 29607
num_examples: 287
download_size: 77892
dataset_size: 115182
- config_name: v3
features:
- name: acc_uncertainty
dtype: float64
- name: irt_minlikes
dtype: string
- name: irt_model
dtype: string
- name: irt_lr
dtype: float64
- name: irt_epochs
dtype: int64
- name: irt_std_filter_ratio
dtype: float64
- name: GPT_0.0_acc
dtype: float64
- name: GPT_0.0_ratio
dtype: float64
- name: GPT_0.5_acc
dtype: float64
- name: GPT_0.5_ratio
dtype: float64
- name: GPT_1.0_acc
dtype: float64
- name: GPT_1.0_ratio
dtype: float64
- name: GPT_1.5_acc
dtype: float64
- name: GPT_1.5_ratio
dtype: float64
- name: GPT_2.0_acc
dtype: float64
- name: GPT_2.0_ratio
dtype: float64
- name: GPT_2.5_acc
dtype: float64
- name: GPT_2.5_ratio
dtype: float64
- name: GPT_3.0_acc
dtype: float64
- name: GPT_3.0_ratio
dtype: float64
- name: GPT_3.5_acc
dtype: float64
- name: GPT_3.5_ratio
dtype: float64
- name: GPT_4.0_acc
dtype: float64
- name: GPT_4.0_ratio
dtype: float64
- name: GPT_4.5_acc
dtype: float64
- name: GPT_4.5_ratio
dtype: float64
- name: GPT_5.0_acc
dtype: float64
- name: GPT_5.0_ratio
dtype: float64
splits:
- name: GSM8K
num_bytes: 30372.0
num_examples: 137
- name: ARC
num_bytes: 30372.0
num_examples: 137
- name: HellaSwag
num_bytes: 30372.0
num_examples: 137
- name: Winogrande
num_bytes: 30372.0
num_examples: 137
download_size: 134172
dataset_size: 121488.0
- config_name: v4
features:
- name: acc_uncertainty
dtype: float64
- name: irt_minlikes
dtype: string
- name: irt_model
dtype: string
- name: irt_lr
dtype: float64
- name: irt_epochs
dtype: int64
- name: irt_std_filter_ratio
dtype: float64
- name: GPT_0.0_acc
dtype: float64
- name: GPT_0.0_ratio
dtype: float64
- name: GPT_0.5_acc
dtype: float64
- name: GPT_0.5_ratio
dtype: float64
- name: GPT_1.0_acc
dtype: float64
- name: GPT_1.0_ratio
dtype: float64
- name: GPT_1.5_acc
dtype: float64
- name: GPT_1.5_ratio
dtype: float64
- name: GPT_2.0_acc
dtype: float64
- name: GPT_2.0_ratio
dtype: float64
- name: GPT_2.5_acc
dtype: float64
- name: GPT_2.5_ratio
dtype: float64
- name: GPT_3.0_acc
dtype: float64
- name: GPT_3.0_ratio
dtype: float64
- name: GPT_3.5_acc
dtype: float64
- name: GPT_3.5_ratio
dtype: float64
- name: GPT_4.0_acc
dtype: float64
- name: GPT_4.0_ratio
dtype: float64
- name: GPT_4.5_acc
dtype: float64
- name: GPT_4.5_ratio
dtype: float64
- name: GPT_5.0_acc
dtype: float64
- name: GPT_5.0_ratio
dtype: float64
splits:
- name: GSM8K
num_bytes: 30372.0
num_examples: 137
- name: ARC
num_bytes: 30372.0
num_examples: 137
- name: HellaSwag
num_bytes: 30372.0
num_examples: 137
- name: Winogrande
num_bytes: 30372.0
num_examples: 137
download_size: 138063
dataset_size: 121488.0
configs:
- config_name: human_v4
data_files:
- split: GSM8K
path: human_v4/GSM8K-*
- split: ARC
path: human_v4/ARC-*
- split: Winogrande
path: human_v4/Winogrande-*
- config_name: human_v4_1
data_files:
- split: GSM8K
path: human_v4_1/GSM8K-*
- split: ARC
path: human_v4_1/ARC-*
- split: Winogrande
path: human_v4_1/Winogrande-*
- config_name: new_v4
data_files:
- split: GSM8K
path: new_v4/GSM8K-*
- split: ARC
path: new_v4/ARC-*
- split: HellaSwag
path: new_v4/HellaSwag-*
- split: Winogrande
path: new_v4/Winogrande-*
- config_name: v1
data_files:
- split: GSM8K
path: v1/GSM8K-*
- split: ARC
path: v1/ARC-*
- split: HellaSwag
path: v1/HellaSwag-*
- split: Winogrande
path: v1/Winogrande-*
- config_name: v2
data_files:
- split: GSM8K
path: v2/GSM8K-*
- split: ARC
path: v2/ARC-*
- split: HellaSwag
path: v2/HellaSwag-*
- split: Winogrande
path: v2/Winogrande-*
- config_name: v3
data_files:
- split: GSM8K
path: v3/GSM8K-*
- split: ARC
path: v3/ARC-*
- split: HellaSwag
path: v3/HellaSwag-*
- split: Winogrande
path: v3/Winogrande-*
- config_name: v4
data_files:
- split: GSM8K
path: v4/GSM8K-*
- split: ARC
path: v4/ARC-*
- split: HellaSwag
path: v4/HellaSwag-*
- split: Winogrande
path: v4/Winogrande-*
---