Update README.md

README.md

@@ -19,4 +19,25 @@ configs:
   - split: test
     path: "n_correct/test/split.parquet"
 ---
- 
+ # DARE
+
+DARE (Diverse Visual Question Answering with Robustness Evaluation) is a carefully created and curated multiple-choice VQA benchmark.
+DARE evaluates VLM performance on five diverse categories and includes four robustness-oriented evaluations based on the variations of:
+- prompts
+- the subsets of answer options
+- the output format
+- the number of correct answers.
+
+The validation split of the dataset contains images, questions, answer options, and correct answers. We are not publishing the correct answers for the test split to prevent contamination.
+
+## Load the Dataset
+
+To use the dataset use the huggingface datasets library: 
+
+```
+from datasets import load_dataset
+
+# Load the dataset
+subset = "1_correct" # Change to the subset that you want to use
+dataset = load_dataset("hSterz/DARE", subset)
+```