Add project page and visual-document-retrieval task category

README.md

@@ -1,18 +1,19 @@
 ---
-license: apache-2.0
-task_categories:
-- multiple-choice
-- visual-question-answering
 language:
 - en
+license: apache-2.0
 size_categories:
 - n<1K
+task_categories:
+- multiple-choice
+- visual-question-answering
+- visual-document-retrieval
+paperswithcode_id: mapeval-visual
 configs:
 - config_name: benchmark
   data_files:
   - split: test
     path: dataset.json
-paperswithcode_id: mapeval-visual
 tags:
 - geospatial
 ---
@@ -21,6 +22,8 @@ tags:
 
 This dataset was introduced in [MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models](https://arxiv.org/abs/2501.00316)
 
+[Project page](https://mapeval.github.io/)
+
 # Example
 
 ![Image](example.jpg)
@@ -53,17 +56,25 @@ for item in ds["test"]:
     # Start with a clear task description
     prompt = (
         "You are a highly intelligent assistant. "
-        "Based on the given image, answer the multiple-choice question by selecting the correct option.\n\n"
-        "Question:\n" + item["question"] + "\n\n"
-        "Options:\n"
+        "Based on the given image, answer the multiple-choice question by selecting the correct option.
+
+"
+        "Question:
+" + item["question"] + "
+
+"
+        "Options:
+"
     )
     
     # List the options more clearly
     for i, option in enumerate(item["options"], start=1):
-        prompt += f"{i}. {option}\n"
+        prompt += f"{i}. {option}
+"
     
     # Add a concluding sentence to encourage selection of the answer
-    prompt += "\nSelect the best option by choosing its number."
+    prompt += "
+Select the best option by choosing its number."
     
     # Load image from Vdata/ directory
     img = PIL.Image.open(item["context"])