|
--- |
|
dataset_info: |
|
- config_name: Accounting |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 302505 |
|
num_examples: 50 |
|
download_size: 163509 |
|
dataset_size: 302505 |
|
- config_name: Agricultural Sciences |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 33517394 |
|
num_examples: 5962 |
|
download_size: 14893871 |
|
dataset_size: 33517394 |
|
- config_name: Aviation Engineering and Maintenance |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 18431861 |
|
num_examples: 3312 |
|
download_size: 8082115 |
|
dataset_size: 18431861 |
|
- config_name: Biology |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 21123925 |
|
num_examples: 3985 |
|
download_size: 9468864 |
|
dataset_size: 21123925 |
|
- config_name: Chemical Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 4846383 |
|
num_examples: 838 |
|
download_size: 2084815 |
|
dataset_size: 4846383 |
|
- config_name: Chemistry |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1857709 |
|
num_examples: 345 |
|
download_size: 829828 |
|
dataset_size: 1857709 |
|
- config_name: Civil Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 54124122 |
|
num_examples: 9364 |
|
download_size: 24462266 |
|
dataset_size: 54124122 |
|
- config_name: Computer Science |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 91527103 |
|
num_examples: 17378 |
|
download_size: 39557167 |
|
dataset_size: 91527103 |
|
- config_name: Construction |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 77264152 |
|
num_examples: 13946 |
|
download_size: 34373857 |
|
dataset_size: 77264152 |
|
- config_name: Criminal Law |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 372974 |
|
num_examples: 90 |
|
download_size: 197436 |
|
dataset_size: 372974 |
|
- config_name: Ecology |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 17530494 |
|
num_examples: 6437 |
|
download_size: 8211722 |
|
dataset_size: 17530494 |
|
- config_name: Economics |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 322383 |
|
num_examples: 99 |
|
download_size: 165450 |
|
dataset_size: 322383 |
|
- config_name: Education |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 23920 |
|
num_examples: 7 |
|
download_size: 31937 |
|
dataset_size: 23920 |
|
- config_name: Electrical Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 31851458 |
|
num_examples: 11970 |
|
download_size: 14335768 |
|
dataset_size: 31851458 |
|
- config_name: Electronics Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 13204559 |
|
num_examples: 4909 |
|
download_size: 5873101 |
|
dataset_size: 13204559 |
|
- config_name: Energy Management |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 15125690 |
|
num_examples: 5504 |
|
download_size: 6798347 |
|
dataset_size: 15125690 |
|
- config_name: Environmental Science |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 33816019 |
|
num_examples: 12108 |
|
download_size: 15544151 |
|
dataset_size: 33816019 |
|
- config_name: Fashion |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 4016685 |
|
num_examples: 1563 |
|
download_size: 1847044 |
|
dataset_size: 4016685 |
|
- config_name: Food Processing |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 43553536 |
|
num_examples: 14635 |
|
download_size: 20063524 |
|
dataset_size: 43553536 |
|
- config_name: Gas Technology and Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 34161028 |
|
num_examples: 6159 |
|
download_size: 15105124 |
|
dataset_size: 34161028 |
|
- config_name: Geomatics |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 26135356 |
|
num_examples: 4618 |
|
download_size: 11483226 |
|
dataset_size: 26135356 |
|
- config_name: Health |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 49369 |
|
num_examples: 8 |
|
download_size: 67056 |
|
dataset_size: 49369 |
|
- config_name: Industrial Engineer |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 84980459 |
|
num_examples: 16600 |
|
download_size: 37345399 |
|
dataset_size: 84980459 |
|
- config_name: Information Technology |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 20644920 |
|
num_examples: 3689 |
|
download_size: 8834865 |
|
dataset_size: 20644920 |
|
- config_name: Interior Architecture and Design |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 22010053 |
|
num_examples: 3927 |
|
download_size: 10034359 |
|
dataset_size: 22010053 |
|
- config_name: Korean History |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 40320 |
|
num_examples: 6 |
|
download_size: 62055 |
|
dataset_size: 40320 |
|
- config_name: Law |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 9121953 |
|
num_examples: 1302 |
|
download_size: 3999342 |
|
dataset_size: 9121953 |
|
- config_name: Machine Design and Manufacturing |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 41802303 |
|
num_examples: 7641 |
|
download_size: 18441365 |
|
dataset_size: 41802303 |
|
- config_name: Management |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 8734367 |
|
num_examples: 1376 |
|
download_size: 3939070 |
|
dataset_size: 8734367 |
|
- config_name: Maritime Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1775270 |
|
num_examples: 328 |
|
download_size: 801585 |
|
dataset_size: 1775270 |
|
- config_name: Marketing |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 4315039 |
|
num_examples: 706 |
|
download_size: 1894422 |
|
dataset_size: 4315039 |
|
- config_name: Materials Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 23035287 |
|
num_examples: 4259 |
|
download_size: 10164673 |
|
dataset_size: 23035287 |
|
- config_name: Math |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 534858 |
|
num_examples: 86 |
|
download_size: 230135 |
|
dataset_size: 534858 |
|
- config_name: Mechanical Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 26374681 |
|
num_examples: 4912 |
|
download_size: 11652776 |
|
dataset_size: 26374681 |
|
- config_name: Nondestructive Testing |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 21247939 |
|
num_examples: 3799 |
|
download_size: 9155121 |
|
dataset_size: 21247939 |
|
- config_name: Patent |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 259179 |
|
num_examples: 30 |
|
download_size: 157593 |
|
dataset_size: 259179 |
|
- config_name: Political Science and Sociology |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 340318 |
|
num_examples: 49 |
|
download_size: 194991 |
|
dataset_size: 340318 |
|
- config_name: Psychology |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 8516236 |
|
num_examples: 1359 |
|
download_size: 3769111 |
|
dataset_size: 8516236 |
|
- config_name: Public Safety |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 66241522 |
|
num_examples: 11929 |
|
download_size: 29190717 |
|
dataset_size: 66241522 |
|
- config_name: Railway and Automotive Engineering |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 34285368 |
|
num_examples: 6177 |
|
download_size: 14927805 |
|
dataset_size: 34285368 |
|
- config_name: Real Estate |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 581490 |
|
num_examples: 84 |
|
download_size: 283812 |
|
dataset_size: 581490 |
|
- config_name: Refrigerating Machinery |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 29512148 |
|
num_examples: 5247 |
|
download_size: 12930396 |
|
dataset_size: 29512148 |
|
- config_name: Social Welfare |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 5541788 |
|
num_examples: 912 |
|
download_size: 2392789 |
|
dataset_size: 5541788 |
|
- config_name: Taxation |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 148327 |
|
num_examples: 20 |
|
download_size: 106252 |
|
dataset_size: 148327 |
|
- config_name: Telecommunications and Wireless Technology |
|
features: |
|
- name: question |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: answer |
|
dtype: string |
|
- name: wizardlm |
|
dtype: string |
|
- name: gpt4o |
|
dtype: string |
|
- name: score_gpt |
|
dtype: float64 |
|
- name: score_wzd |
|
dtype: float64 |
|
- name: filtered_gpt |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 31855382 |
|
num_examples: 5741 |
|
download_size: 13838351 |
|
dataset_size: 31855382 |
|
configs: |
|
- config_name: Accounting |
|
data_files: |
|
- split: train |
|
path: Accounting/train-* |
|
- config_name: Agricultural Sciences |
|
data_files: |
|
- split: train |
|
path: Agricultural Sciences/train-* |
|
- config_name: Aviation Engineering and Maintenance |
|
data_files: |
|
- split: train |
|
path: Aviation Engineering and Maintenance/train-* |
|
- config_name: Biology |
|
data_files: |
|
- split: train |
|
path: Biology/train-* |
|
- config_name: Chemical Engineering |
|
data_files: |
|
- split: train |
|
path: Chemical Engineering/train-* |
|
- config_name: Chemistry |
|
data_files: |
|
- split: train |
|
path: Chemistry/train-* |
|
- config_name: Civil Engineering |
|
data_files: |
|
- split: train |
|
path: Civil Engineering/train-* |
|
- config_name: Computer Science |
|
data_files: |
|
- split: train |
|
path: Computer Science/train-* |
|
- config_name: Construction |
|
data_files: |
|
- split: train |
|
path: Construction/train-* |
|
- config_name: Criminal Law |
|
data_files: |
|
- split: train |
|
path: Criminal Law/train-* |
|
- config_name: Ecology |
|
data_files: |
|
- split: train |
|
path: Ecology/train-* |
|
- config_name: Economics |
|
data_files: |
|
- split: train |
|
path: Economics/train-* |
|
- config_name: Education |
|
data_files: |
|
- split: train |
|
path: Education/train-* |
|
- config_name: Electrical Engineering |
|
data_files: |
|
- split: train |
|
path: Electrical Engineering/train-* |
|
- config_name: Electronics Engineering |
|
data_files: |
|
- split: train |
|
path: Electronics Engineering/train-* |
|
- config_name: Energy Management |
|
data_files: |
|
- split: train |
|
path: Energy Management/train-* |
|
- config_name: Environmental Science |
|
data_files: |
|
- split: train |
|
path: Environmental Science/train-* |
|
- config_name: Fashion |
|
data_files: |
|
- split: train |
|
path: Fashion/train-* |
|
- config_name: Food Processing |
|
data_files: |
|
- split: train |
|
path: Food Processing/train-* |
|
- config_name: Gas Technology and Engineering |
|
data_files: |
|
- split: train |
|
path: Gas Technology and Engineering/train-* |
|
- config_name: Geomatics |
|
data_files: |
|
- split: train |
|
path: Geomatics/train-* |
|
- config_name: Health |
|
data_files: |
|
- split: train |
|
path: Health/train-* |
|
- config_name: Industrial Engineer |
|
data_files: |
|
- split: train |
|
path: Industrial Engineer/train-* |
|
- config_name: Information Technology |
|
data_files: |
|
- split: train |
|
path: Information Technology/train-* |
|
- config_name: Interior Architecture and Design |
|
data_files: |
|
- split: train |
|
path: Interior Architecture and Design/train-* |
|
- config_name: Korean History |
|
data_files: |
|
- split: train |
|
path: Korean History/train-* |
|
- config_name: Law |
|
data_files: |
|
- split: train |
|
path: Law/train-* |
|
- config_name: Machine Design and Manufacturing |
|
data_files: |
|
- split: train |
|
path: Machine Design and Manufacturing/train-* |
|
- config_name: Management |
|
data_files: |
|
- split: train |
|
path: Management/train-* |
|
- config_name: Maritime Engineering |
|
data_files: |
|
- split: train |
|
path: Maritime Engineering/train-* |
|
- config_name: Marketing |
|
data_files: |
|
- split: train |
|
path: Marketing/train-* |
|
- config_name: Materials Engineering |
|
data_files: |
|
- split: train |
|
path: Materials Engineering/train-* |
|
- config_name: Math |
|
data_files: |
|
- split: train |
|
path: Math/train-* |
|
- config_name: Mechanical Engineering |
|
data_files: |
|
- split: train |
|
path: Mechanical Engineering/train-* |
|
- config_name: Nondestructive Testing |
|
data_files: |
|
- split: train |
|
path: Nondestructive Testing/train-* |
|
- config_name: Patent |
|
data_files: |
|
- split: train |
|
path: Patent/train-* |
|
- config_name: Political Science and Sociology |
|
data_files: |
|
- split: train |
|
path: Political Science and Sociology/train-* |
|
- config_name: Psychology |
|
data_files: |
|
- split: train |
|
path: Psychology/train-* |
|
- config_name: Public Safety |
|
data_files: |
|
- split: train |
|
path: Public Safety/train-* |
|
- config_name: Railway and Automotive Engineering |
|
data_files: |
|
- split: train |
|
path: Railway and Automotive Engineering/train-* |
|
- config_name: Real Estate |
|
data_files: |
|
- split: train |
|
path: Real Estate/train-* |
|
- config_name: Refrigerating Machinery |
|
data_files: |
|
- split: train |
|
path: Refrigerating Machinery/train-* |
|
- config_name: Social Welfare |
|
data_files: |
|
- split: train |
|
path: Social Welfare/train-* |
|
- config_name: Taxation |
|
data_files: |
|
- split: train |
|
path: Taxation/train-* |
|
- config_name: Telecommunications and Wireless Technology |
|
data_files: |
|
- split: train |
|
path: Telecommunications and Wireless Technology/train-* |
|
--- |
|
|