Update README.md

README.md

@@ -16,11 +16,11 @@ This repo provides usage guidance and all data samples for our proposed dataset,
 <a href='https://huggingface.co/datasets/Edennnnn/ReD_Bench'><img src='https://img.shields.io/badge/HuggingFace-ReD_Bench-yellow'></a> &nbsp;
 
 ## Introduction
-**Regional-based Dragging (ReD) Bench**, consisting of 120 images annotated with precise drag instructions at both point and region levels. Each manipulation in the dataset is associated with an intention label, selected from relocation, deformation, or rotation.
+**Regional-based Dragging (ReD) Bench**, consisting of **120 sample images** annotated with precise drag instructions at both point and region levels. Each manipulation in the dataset is associated with an intention label, selected from relocation, deformation, or rotation.
 
 For every image, we provide two complementary instruction sets corresponding to point-based and region-based dragging. The region-based annotations are supplied as multiple PNG masks, with each region uniquely represented by its centroid for cross-reference. The drag annotations include multiple start-to-target point pairs, which can be directly aligned with the region annotations, ensuring consistency in task intention. Additionally, we provide background prompts and editing intention prompts for each image to facilitate multimodal tasks, along with masks generated using the [DragFlow](https://github.com/Edennnnnnnnnn/DragFlow) automatic masker. More details can be found in our [technical paper](https://arxiv.org/abs/2510.02253).
 
-Each sample contains information provided in the following storage structure. You can find descriptions for each on the right-hand side
+Each sample contains information provided in the following storage structure. You can find descriptions for each on the right-hand side.
 ```text
 sample
 ├── temp                        # (Optional) Extra information for operation masks:
@@ -37,7 +37,7 @@ sample
 ```
 
 ## Instruction
-This section provides some sample codes for loading the dataset. We first clone the dataset repo to your local folder `./datasets`:
+This section provides some sample code for loading the dataset. We first clone the dataset repo to your local folder `./datasets`:
 ```bash
 git lfs install
 cd ./datasets