---
license: cc-by-nc-4.0
task_categories:
- text-generation
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:
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    num_examples: 2536
  - name: val
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    num_examples: 317
  - name: test
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    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:
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    num_examples: 14032
  - name: val
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    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
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    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-*
---

# 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](https://huggingface.co/papers/2503.02450)
> 
> 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](https://cdn-uploads.huggingface.co/production/uploads/67242d62055ce33014cf24d5/j2lG852s2qTk8A3bg9zVg.png)

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):

```bash
./create.sh
```

## License

This dataset is licensed under the CC-BY-NC-4.0 License.