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metadata
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
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

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 (Replace with actual github link).

Data Structure: (Keep the existing data structure description here)