Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 task_categories:
-- question-answering
+- visual-question-answering
 language:
 - en
 size_categories:
@@ -38,4 +38,39 @@ dataset_info:
     num_examples: 500
   download_size: 120231
   dataset_size: 576010
+pretty_name: FRIEDA
 ---
+
+# FRIEDA
+[![arXiv](https://img.shields.io/badge/arXiv-2512.08016-111111?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2512.08016)
+[![Website](https://img.shields.io/badge/Website-Webpage-111111?style=for-the-badge&logo=googlechrome&logoColor=white)](https://knowledge-computing.github.io/FRIEDA/)
+[![Code](https://img.shields.io/badge/Code-GitHub-111111?style=for-the-badge&logo=github&logoColor=white)](https://github.com/knowledge-computing/FRIEDA)
+
+**FRIEDA** is a multimodal benchmark for **open-ended cartographic reasoning** over real-world map images.  
+Each example pairs reference maps (and optional contextual maps) with a natural-language question and a reference answer. The benchmark targets common GIS relation types (i.e., **topological**, **metric**, **directional**) and includes questions that require multi-step reasoning and cross-map grounding.
+
+### Dataset Summary
+
+- **Modality:** image + text  
+- **# Examples:** 500  
+- **Input:** map image(s) + question text  
+- **Output:** expected answer (textual)
+- **Metadata:** map_count, domain, relationship type, map elements
+
+### Languages
+
+The dataset questions and answers are in **English**.
+
+---
+
+## How to use it
+
+```python
+from datasets import load_dataset
+
+# Full dataset (split name = "data")
+ds = load_dataset("knowledge-computing/FRIEDA", split="data")
+print(ds[0].keys())
+print(ds[0]["question_text"])    # Actual question being asked
+print(ds[0]["images"])           # List of string paths to images (e.g., "images/...png")
+print(ds[0]["context_images"])   # List of string paths to contextual images