Baseline Training Data

This link provides processed training data, which differs from the evaluation data shown in another dataset card here. Specifically, this data can be used with different splits to train your baselines or develop new unlearning algorithms. For example, if you want to implement the Gradient Ascent (GA) algorithm with a 5% split of the data, you can use the provided data to update the gradient in the opposite direction of the forgotten data. Alternatively, if you wish to work with retain data, you can leverage the data from the retain folders. For detailed examples, please refer to the official GitHub Repository.