| --- |
| license: cc-by-4.0 |
| configs: |
| - config_name: raw |
| data_files: |
| - split: raw_forget |
| path: raw/raw_forget.parquet |
| - split: raw_holdout |
| path: raw/raw_holdout.parquet |
| - split: raw_retain1 |
| path: raw/raw_retain1.parquet |
| - split: raw_retain2 |
| path: raw/raw_retain2.parquet |
| - config_name: knowmem |
| data_files: |
| - split: forget_qa |
| path: knowmem/forget_qa.parquet |
| - split: retain_qa |
| path: knowmem/retain_qa.parquet |
| --- |
| |
| ## Details on Subsets & Splits |
|
|
| - `raw`: A raw corpus from which all subsets are derived. The splits are: |
| - `raw_forget`: Data intended to be forgotten |
| - `raw_holdout`: Data never seen by the target model during pre-training and unlearning |
| - `raw_retain1`: Data used optionally as a calibrator for unlearning |
| - `raw_retain2`: Retain set, i.e. data seen by the target model and used for evaluation |
