Update README.md

README.md

@@ -41,8 +41,7 @@ Such capability further narrows the gap between human-authored and machine-gener
 In practical scenarios, the detector faces texts from various domains or LLMs without knowing their sources.
 
 To this end, we build **a wild testbed for deepfake text detection**, by gathering texts from various human writings and deepfake texts generated by different LLMs. 
-This repository contains the data to testify deepfake detection methods described in our paper, [Deepfake Text Detection in the Wild](https://arxiv.org/abs/2305.13242). 
-Welcome to test your detection methods on our testbed!
+The data in this repository is used to evaluate the effectiveness of deepfake detection methods, as described in our paper titled "Deepfake Text Detection in the Wild" (available at https://arxiv.org/abs/2305.13242). We invite you to test your own detection methods on our testbed and encourage you to star our Github repo at https://github.com/yafuly/DeepfakeTextDetect.
 
 
 ## 📝 Dataset Description