metadata
dataset_info:
- config_name: '250'
features:
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 184018
num_examples: 250
download_size: 111927
dataset_size: 184018
- config_name: '50'
features:
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 35966
num_examples: 50
download_size: 27162
dataset_size: 35966
configs:
- config_name: '250'
data_files:
- split: train
path: 250/train-*
- config_name: '50'
data_files:
- split: train
path: 50/train-*
This dataset is used for evaluaation in the paper SafeChain.
Load the dataset with 250 (full) or 50 (small) split
from datasets import load_dataset
instructions = load_dataset('UWNSL/WildJailbreakEval', '250')['train']['instruction']
instructions = load_dataset('UWNSL/WildJailbreakEval', '50')['train']['instruction']