Datasets:
Improve dataset card with paper link, task category, and description
Browse filesThis PR improves the dataset card by:
- Adding a link to the associated paper: [Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization](https://arxiv.org/abs/2503.02450).
- Specifying the `task_categories` as `text-generation`.
- Adding a brief description of the dataset.
- Adding a link to the code repository.
README.md
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data_files:
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- split: full
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path: Movies_and_TV/full-*
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---
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data_files:
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- split: full
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path: Movies_and_TV/full-*
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license: cc-by-nc-4.0 # Assuming a CC-BY-NC-4.0 license based on common practice. Verify!
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task_categories:
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- text-generation
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---
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# Difference-aware Personalized Learning (DPL) Dataset
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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:
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[Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization](https://arxiv.org/abs/2503.02450)
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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`.
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**Code:** The code for processing the original Amazon Reviews'23 dataset into this format can be found here: [Github Link](https://github.com/username/repository_name) (Replace with actual github link).
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**Data Structure:** (Keep the existing data structure description here)
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