metadata

configs:
  - config_name: news_for_unlearning
    data_files:
      - split: forget_set
        path: newsqa_forget_set.json
      - split: retain_set
        path: newsqa_retain_set.json
  - config_name: news_infringement
    data_files:
      - split: blocklisted
        path: newsqa_blocklisted_infringement.json
  - config_name: news_utility
    data_files:
      - split: blocklisted
        path: newsqa_blocklisted_utility.json
      - split: in_domain
        path: newsqa_indomain_utility.json
  - config_name: books_infringement
    data_files:
      - split: blocklisted
        path: booksum_blocklisted_infringement.json
  - config_name: books_utility
    data_files:
      - split: blocklisted
        path: booksum_blocklisted_utility.json
      - split: in_domain
        path: booksum_indomain_utility.json

CoTaEval Dataset

CoTaEval Dataset is used to evaluate the feasibility and the side effects of copyright takedown methods for language models. The dataset has two domains: News and Books. For News, it has three subsets: news_for_unlearning (for unlearning use), news_infringement(for infringement evaluation), and news_utility (for utility evaluation); For Books, it has two subsets: books_infringement (for infringement evaluation), books_utility (for utility evaluation). The structure of the dataset are shown below:

CoTaEval
- News
  - news_for_unlearning
    - forget_set
    - retain_set
  - news_infringement
    - blocklisted
  - news_utility
    - blocklisted
    - in_domain
- Books
  - books_infringement
    - blocklisted
  - books_utility
    - blocklisted
    - in_domain