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| ## Expected File Format | |
| We expect your submitted file to be in the CSV format containing the following columns: | |
| - `name`: Name of the evaluated unlearning method. Must be unique for each row. | |
| - `verbmem_f`, `privleak`, `knowmem_f`, `knowmem_r`: Evaluation scores. | |
| Following the instructions for evaluation in our [GitHub Repository](https://github.com/jaechan-repo/muse_bench) yields an output file precisely of this format. | |
| ## Quick Links | |
| - [Website](https://muse-bench.github.io): Landing page for MUSE. | |
| - [arXiv Paper](): Detailed information about MUSE and analysis on the baseline unlearning methods. | |
| - [GitHub Repository](https://github.com/jaechan-repo/muse_bench): Evaluation scripts, implementations of the baseline unlearning methods. | |
| - [News Dataset](https://huggingface.co./datasets/muse-bench/MUSE-News), [Books Dataset](https://huggingface.co./datasets/muse-bench/MUSE-Books): Two evaluation corpora used by MUSE. | |
| - [Leaderboard](https://huggingface.co./spaces/muse-bench/muse_leaderboard) (You are here): Current rankings of unlearning algorithms for MUSE. | |
| - [Summary on Twitter](): A concise summary and key takeaways from the project. | |