| --- |
| language: |
| - en |
| license: cc-by-sa-4.0 |
| task_categories: |
| - text-generation |
| tags: |
| - recommendation-system |
| - user-simulation |
| dataset_info: |
| features: |
| - name: text |
| struct: |
| - name: action_list |
| sequence: string |
| - name: history |
| dtype: string |
| - name: profile |
| dtype: string |
| - name: user_id |
| dtype: string |
| - name: item_id |
| dtype: string |
| - name: timestamp |
| dtype: timestamp[ns] |
| - name: item_pos |
| dtype: int64 |
| - name: choice_cnt |
| dtype: int64 |
| - name: dataset |
| dtype: string |
| - name: impression_list |
| sequence: string |
| splits: |
| - name: test |
| num_bytes: 14699116 |
| num_examples: 6400 |
| download_size: 5555631 |
| dataset_size: 14699116 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| --- |
| |
| # UserMirrorer-eval |
|
|
| This is the evaluation set of **UserMirrorer**, presented in the paper [Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation](https://huggingface.co/papers/2508.18142). |
|
|
| **Code**: [Joinn99/UserMirrorer](https://github.com/Joinn99/UserMirrorer) |
|
|
| ## Notice |
|
|
| In the `UserMirrorer` dataset, the raw data from `MIND` and `MovieLens-1M` datasets are distributed under restrictive licenses and cannot be included directly. |
|
|
| Therefore, we provide a comprehensive, step-by-step pipeline to load the original archives, execute all necessary preprocessing operations, and assemble the final UserMirrorer training and test splits. |
|
|
| Click [here](https://colab.research.google.com/github/UserMirrorer/UserMirrorer/blob/main/UserMirrorer_GetFullDataset.ipynb) to run the script notebook on Google Colab to get the full dataset. Also, you can download it and run it locally. |
|
|
| ## Evaluation Usage |
|
|
| To run the evaluation, you can execute the following command provided in the official repository: |
|
|
| ```bash |
| python usermirrorer/run_eval.py \ |
| --project_path <YOUR_WORKING_DIR> \ # The path to your working directory |
| --model_path <MODEL_PATH> \ # The path to the model |
| --input_file <INPUT_FILE> \ # The path to the input file |
| --output_file <OUTPUT_FILE> \ # The path to the output file |
| --mode <MODE> \ # The mode of the evaluation |
| --repeat_times <REPEAT_TIMES> \ # The number of sampling times |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{wei2025mirroringusersbuildingpreferencealigned, |
| title={Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation}, |
| author={Tianjun Wei and Huizhong Guo and Yingpeng Du and Zhu Sun and Huang Chen and Dongxia Wang and Jie Zhang}, |
| year={2025}, |
| eprint={2508.18142}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.HC}, |
| url={https://arxiv.org/abs/2508.18142}, |
| } |
| ``` |
