alireza7/LaMP-QA
LaMP-QA Dataset Abstract Personalization is essential for question answering systems that are user-centric. Despite its importance, personalization in answer generation has been relatively underexplored. This is mainly due to lack of resources for training and evaluating personalized question answering systems. We address this gap by introducing LaMP-QA---a benchmark designed for evaluating personalized long-form answer generation. The benchmark covers questions… See the full description on the dataset page: https://huggingface.co/datasets/alireza7/LaMP-QA.
| Author / organization | alireza7 |
|---|---|
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 28 May 2025 |
| Last updated at source | 9 June 2025 |
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- 16 Oct 2026 Description: LaMP-QA Dataset Abstract Personalization is essential for question answering systems that are user-centric. Despite its importance, personalization in answer generation has been relatively underexplored. This is mainly due to lack of resour → LaMP-QA Dataset Abstract Personalization is essential for question answering systems that are user-centric. Despite its importance, personalization in answer generation has been relatively underexplored. This is mainly due to lack of resour
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