Ensure paper link

This PR ensures the dataset can be found at https://huggingface.co/papers/2503.08890

README.md

@@ -1,9 +1,11 @@
 ---
+language:
+- en
 license: cc-by-sa-3.0
+size_categories:
+- 1K<n<10K
 task_categories:
 - summarization
-language:
-- en
 tags:
 - biomedical
 - health
@@ -11,8 +13,6 @@ tags:
 - summarization
 - LLM
 - factuality
-size_categories:
-- 1K<n<10K
 ---
 
 PlainFact is a high-quality human-annotated dataset with fine-grained explanation (i.e., added information) annotations designed for Plain Language Summarization tasks, along with [PlainQAFact](https://github.com/zhiwenyou103/PlainQAFact) factuality evaluation framework. It is collected from the [Cochrane database](https://www.cochranelibrary.com/) sampled from CELLS dataset ([Guo et al., 2024](https://doi.org/10.1016/j.jbi.2023.104580)). 
@@ -32,7 +32,7 @@ from datasets import load_dataset
 plainfact = load_dataset("uzw/PlainFact")
 ```
 
-For detailed information regarding the dataset or factuality evaluation framework, please refer to our [Github repo](https://github.com/zhiwenyou103/PlainQAFact) and paper.
+For detailed information regarding the dataset or factuality evaluation framework, please refer to our [Github repo](https://github.com/zhiwenyou103/PlainQAFact) and paper at https://huggingface.co/papers/2503.08890.
 
 Citation
 If you use data from PlainFact or PlainFact-summary, please cite with the following BibTex entry: