Update README.md

README.md

@@ -6,7 +6,7 @@ license: cc-by-4.0
 This dataset contains 819,987 images and 1.9 million QA pairs, unifying object affordances and spatial affordances to support interaction-centric learning in robotics.
 
 # Dataset Composition
-RoboAfford aggregates images from multiple datasets and generates QA pairs to provide a comprehensive dataset for affordance understanding.
+**RoboAfford** aggregates images from multiple datasets and generates QA pairs to provide a comprehensive dataset for affordance understanding.
 It consists of the following components:
 
 - **LVIS_absxy_513K.json**: 513K object detection QA pairs for 152,152 images sourced from [LVIS](https://www.lvisdataset.org/)
@@ -47,4 +47,4 @@ Each json file contains a list of structured conversations with image references
 ```
 
 # Evaluation
-For benchmarking protocols and evaluation metrics, please refer to [RoboAfford-Eval](https://huggingface.co/datasets/tyb197/RoboAfford-Eval) and [https://github.com/tyb197/RoboAfford](https://github.com/tyb197/RoboAfford) for more detailed information.
+For benchmarking protocols and evaluation metrics, please refer to **[RoboAfford-Eval]**(https://huggingface.co/datasets/tyb197/RoboAfford-Eval) and [https://github.com/tyb197/RoboAfford](https://github.com/tyb197/RoboAfford) for more detailed information.