--- dataset_info: - config_name: Books features: - name: title dtype: string - name: description dtype: string - name: asin dtype: string splits: - name: full num_bytes: 740843.1838136007 num_examples: 839 download_size: 619821 dataset_size: 740843.1838136007 - config_name: CDs_and_Vinyl features: - name: title dtype: string - name: description dtype: string - name: asin dtype: string splits: - name: full num_bytes: 2625826.775842011 num_examples: 3801 download_size: 2515295 dataset_size: 2625826.775842011 - config_name: Movies_and_TV features: - name: title dtype: string - name: description dtype: string - name: asin dtype: string splits: - name: full num_bytes: 3532557.899069776 num_examples: 4832 download_size: 3038812 dataset_size: 3532557.899069776 configs: - config_name: Books data_files: - split: full path: Books/full-* - config_name: CDs_and_Vinyl data_files: - split: full path: CDs_and_Vinyl/full-* - config_name: Movies_and_TV data_files: - split: full path: Movies_and_TV/full-* license: cc-by-nc-4.0 # Assuming a CC-BY-NC-4.0 license based on common practice. Verify! task_categories: - text-generation --- # Difference-aware Personalized Learning (DPL) Dataset This dataset is derived from Amazon Reviews'23 and processed for use in the Difference-aware Personalized Learning (DPL) method, as described in the paper: [Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization](https://arxiv.org/abs/2503.02450) The dataset comprises product reviews categorized into three config names: Books, CDs_and_Vinyl, and Movies_and_TV. Each review includes the `title`, `description`, and `asin`. **Code:** The code for processing the original Amazon Reviews'23 dataset into this format can be found here: [Github Link](https://github.com/username/repository_name) (Replace with actual github link). **Data Structure:** (Keep the existing data structure description here)