Datasets:
dataset_info:
- config_name: Books
features:
- name: user_id
dtype: string
- name: profile
list:
- name: asin
dtype: string
- name: rating
dtype: float64
- name: text
dtype: string
- name: timestamp
dtype: int64
- name: title
dtype: string
- name: data
struct:
- name: asin
dtype: string
- name: rating
dtype: float64
- name: text
dtype: string
- name: timestamp
dtype: int64
- name: title
dtype: string
splits:
- name: train
num_bytes: 115015976
num_examples: 2536
- name: val
num_bytes: 16297951
num_examples: 317
- name: test
num_bytes: 16699494
num_examples: 317
download_size: 60791870
dataset_size: 148013421
- config_name: CDs_and_Vinyl
features:
- name: user_id
dtype: string
- name: profile
list:
- name: asin
dtype: string
- name: rating
dtype: float64
- name: text
dtype: string
- name: timestamp
dtype: int64
- name: title
dtype: string
- name: data
struct:
- name: asin
dtype: string
- name: rating
dtype: float64
- name: text
dtype: string
- name: timestamp
dtype: int64
- name: title
dtype: string
splits:
- name: train
num_bytes: 698663154
num_examples: 14032
- name: val
num_bytes: 99981224
num_examples: 1754
- name: test
num_bytes: 102911230
num_examples: 1754
download_size: 424569059
dataset_size: 901555608
- config_name: Movies_and_TV
features:
- name: user_id
dtype: string
- name: profile
list:
- name: asin
dtype: string
- name: rating
dtype: float64
- name: text
dtype: string
- name: timestamp
dtype: int64
- name: title
dtype: string
- name: data
struct:
- name: asin
dtype: string
- name: rating
dtype: float64
- name: text
dtype: string
- name: timestamp
dtype: int64
- name: title
dtype: string
splits:
- name: train
num_bytes: 986759292
num_examples: 15400
- name: val
num_bytes: 138632319
num_examples: 1925
- name: test
num_bytes: 142058928
num_examples: 1925
download_size: 649581696
dataset_size: 1267450539
configs:
- config_name: Books
data_files:
- split: train
path: Books/train-*
- split: val
path: Books/val-*
- split: test
path: Books/test-*
- config_name: CDs_and_Vinyl
data_files:
- split: train
path: CDs_and_Vinyl/train-*
- split: val
path: CDs_and_Vinyl/val-*
- split: test
path: CDs_and_Vinyl/test-*
- config_name: Movies_and_TV
data_files:
- split: train
path: Movies_and_TV/train-*
- split: val
path: Movies_and_TV/val-*
- split: test
path: Movies_and_TV/test-*
license: cc-by-nc-4.0
task_categories:
- text-generation
Difference-aware Personalized Learning (DPL) Dataset
This dataset is used in the paper:
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua
This dataset is an adaptation of the Amazon Reviews'23 dataset. It contains user reviews for Books, CDs & Vinyl, and Movies & TV. Each review includes user ID, profile information (ASIN, rating, text, timestamp, title), and the review data (ASIN, rating, text, timestamp, title). The dataset is split into train, validation, and test sets for each category.
See the metadata for details on the data structure and sizes.
Dataset Preprocess
The dataset was processed using the following commands (found in the data directory):
./create.sh
License
This dataset is licensed under the CC-BY-NC-4.0 License.