update readme

README.md

@@ -13,18 +13,18 @@ configs:
 # Loading the dataset
 
 - image_data/Image_List.csv contains the dataset.
-- mcq_data/MCQ_List_no_ans.csv contains the mcq questions.
+- mcq_data/MCQ_List_no_ans.csv contains the MCQ questions.
 
 # Note: 
 
-The answers for mcq questions and visual segmentation masks is not yet publicly available. 
-We are working on creating a competition where participants can upload their predictions and evaluate their models. 
-Stay tuned for more updates! If you need to urgently need to evaluate, please contact buraks@smu.edu.sg
+The answers for MCQ Questions and Visual Segmentation masks are not yet publicly available. 
+We are actively working on creating a competition where participants can upload their predictions and evaluate their models, fostering a collaborative environment. 
+Stay tuned for more updates! If you need to evaluate urgently, please contact buraks@smu.edu.sg
 
 
 # Usage and License
 
-Seeing Culture Benchmark (SCB) is a test-only benchmark and can be used to evaluate models. 
+The Seeing Culture Benchmark (SCB) is a test-only benchmark that can be used to evaluate models. It is designed to test the ability of models to understand and reason visual culture-related content. 
 The images are scraped from the internet and are not owned by the authors. 
 All annotations are released under the CC BY-NC-SA 4.0 license.
 
@@ -32,4 +32,4 @@ All annotations are released under the CC BY-NC-SA 4.0 license.
 
 If you are using this dataset, please cite our paper accepted by EMNLP 2025 Main Conference!
 
-Citation part is coming soon!
+The citation information will be available soon.