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  # Baseline Training Data
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- This link contains processed **Training Data** (which is different from the eval data shown in another Dataset card [here](https://huggingface.co/datasets/MLLMMU/MLLMU-Bench). In particular, you can use this data with different split
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  to train your baselines or simply use it to create new unlearning algorithms. For example, if you want to implement GA (Gradient Ascent) algorithm with 5% split data, you may use
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  the data here to update the gradient to the opposite directions of those forgotten data. Or if you want to use some retain data, you may also take advantages of data from retain folders.
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  Detailed examples can be referred to the official [GitHub Repository](https://github.com/franciscoliu/MLLMU-Bench).
 
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  # Baseline Training Data
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+ This link contains processed **Training Data** (which is different from the eval data shown in another Dataset card [here](https://huggingface.co/datasets/MLLMMU/MLLMU-Bench)). In particular, you can use this data with different split
3
  to train your baselines or simply use it to create new unlearning algorithms. For example, if you want to implement GA (Gradient Ascent) algorithm with 5% split data, you may use
4
  the data here to update the gradient to the opposite directions of those forgotten data. Or if you want to use some retain data, you may also take advantages of data from retain folders.
5
  Detailed examples can be referred to the official [GitHub Repository](https://github.com/franciscoliu/MLLMU-Bench).