metadata
dataset_info:
features:
- name: text
dtype: string
splits:
- name: split_k0
num_bytes: 663428
num_examples: 3000
- name: split_k1
num_bytes: 1877785
num_examples: 3000
- name: split_k2
num_bytes: 2713736
num_examples: 3000
- name: split_k3
num_bytes: 3158450
num_examples: 2700
- name: split_k4
num_bytes: 4255829
num_examples: 3000
- name: split_k5
num_bytes: 4911289
num_examples: 3000
download_size: 7088752
dataset_size: 17580517
configs:
- config_name: default
data_files:
- split: split_k0
path: data/split_k0-*
- split: split_k1
path: data/split_k1-*
- split: split_k2
path: data/split_k2-*
- split: split_k3
path: data/split_k3-*
- split: split_k4
path: data/split_k4-*
- split: split_k5
path: data/split_k5-*
Citation
If you use this dataset, please cite:
RESTOR: Knowledge Recovery in Machine Unlearning
Keivan Rezaei, Khyathi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander
https://arxiv.org/abs/2411.00204
github repo: https://github.com/k1rezaei/restor