Update README.md

README.md

@@ -52,8 +52,7 @@ Large-scale training dataset for the **Text-Aware Image Restoration (TAIR)** tas
 
 ## Dataset Description
 
-**SA-Text** is constructed from SA-1B dataset using our official [dataset pipeline](https://github.com/paulcho98/text_restoration_dataset). It contains **100K** high-resolution scene images paired with polygon-level text annotations.
-This dataset is tailored for TAIR task, which aims to restore both visual quality and text fidelity in degraded images.
+The test set is organized into three degradation levels (lv1–lv3) with overlapping severity ranges, and stochastic degradation kernels make the ordering non-strict.
 
 ## Notes
 
@@ -61,7 +60,6 @@ This dataset is tailored for TAIR task, which aims to restore both visual qualit
 - Designed for training **TeReDiff**, a multi-task diffusion model introduced in our paper.
 - For the training set of SA-Text, check [SA-Text](https://huggingface.co/datasets/Min-Jaewon/SA-Text)
 - For real-world evaluation, check [Real-Text](https://huggingface.co/datasets/Min-Jaewon/Real-Text).
-- The test set is organized into three degradation levels (**lv1–lv3**), where higher levels correspond to more severe degradations.
   
 ## Citation
 Please cite the following paper if you use this dataset: