---
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](https://arxiv.org/abs/2411.00204)

github repo: https://github.com/k1rezaei/restor