dataset_info: | |
- config_name: R_SFT | |
features: | |
- name: id | |
dtype: string | |
- name: conversations | |
list: | |
- name: role | |
dtype: string | |
- name: content | |
dtype: string | |
- name: prompt | |
dtype: string | |
- name: answer | |
dtype: string | |
- name: source | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 9202798 | |
num_examples: 1000 | |
download_size: 4619497 | |
dataset_size: 9202798 | |
- config_name: SFT | |
features: | |
- name: id | |
dtype: string | |
- name: conversations | |
list: | |
- name: role | |
dtype: string | |
- name: content | |
dtype: string | |
- name: source | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 3465754 | |
num_examples: 1030 | |
download_size: 1831048 | |
dataset_size: 3465754 | |
- config_name: U_SFT | |
features: | |
- name: id | |
dtype: string | |
- name: conversations | |
list: | |
- name: role | |
dtype: string | |
- name: content | |
dtype: string | |
- name: prompt | |
dtype: string | |
- name: answer | |
dtype: string | |
- name: source | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 7573548 | |
num_examples: 1000 | |
download_size: 3894316 | |
dataset_size: 7573548 | |
configs: | |
- config_name: R_SFT | |
data_files: | |
- split: train | |
path: R_SFT/train-* | |
- config_name: SFT | |
data_files: | |
- split: train | |
path: SFT/train-* | |
- config_name: U_SFT | |
data_files: | |
- split: train | |
path: U_SFT/train-* | |
SFT: default LIMA</br> | |
Update_SFT: gpt-4o-mini-2024-07-18으로 default LIMA의 prompt만 활용해 answer를 출력</br> | |
R_SFT: 대충 아이디어 실험할려고 만든 데이터, U_SFT와 동일하게 gpt-4o-mini-2024-07-18로 생성</br> | |
멀티턴엔 따로 증강 안했음.</br> | |