Datasets:
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)