Datasets:

Modalities:
Text
Formats:
parquet
ArXiv:
Libraries:
Datasets
pandas
License:
DPL-meta / README.md
SnowCharmQ's picture
Add link to code repository (#2)
bf9a98e verified
metadata
license: cc-by-nc-4.0
task_categories:
  - text-generation
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-*

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

Code: https://github.com/SnowCharmQ/DPL

image/png

This dataset is an adaptation of the Amazon Reviews'23 dataset. It contains item metadata for Books, CDs & Vinyl, and Movies & TV. Each item includes title, description, and asin.

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.