Datasets:
| 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}, | |
| } | |
| ``` |