Improve dataset card: add metadata, links, and data format documentation

README.md

@@ -51,8 +51,54 @@ configs:
     path: data/train-*
   - split: validation
     path: data/validation-*
+task_categories:
+- image-text-to-text
+license: apache-2.0
+language:
+- en
+tags:
+- visual-reasoning
+- tool-use
+- multimodal
+- mllm
 ---
 
+# AdaReasoner Dataset
+
+[**Project Page**](https://adareasoner.github.io/) | [**Paper**](https://huggingface.co/papers/2601.18631) | [**GitHub**](https://github.com/ssmisya/AdaReasoner)
+
+AdaReasoner is a family of multimodal models that learn tool use as a general reasoning skill rather than as tool-specific behavior. This dataset provides the training and evaluation data used to enable long-horizon, multi-step tool interactions. It was curated to help models infer tool utility from task context and intermediate outcomes, enabling the coordination of multiple tools and generalization to unseen ones.
+
+## 🧩 Data Format
+
+The data is stored in Parquet format. According to the official documentation, each item in the dataset typically follows this structure:
+
+```python
+prompt = [
+    {
+        "content": system_prompt,
+        "role": "system"
+    },
+    {
+        "content": f"{question_text}",
+        "role": "user"
+    }
+]
+item = {
+    "data_source": "jigsaw_coco",
+    "prompt": prompt,
+    "images": [{"bytes": question_image_bytes}] + choice_images,
+    "ability": "visual_reasoning",
+    "env_name": "jigsaw",
+    "reward_model": {
+        "ground_truth": correct_letter.lower(),
+        "style": "model"
+    },
+    "extra_info": { # Used for reward calculation
+        "extra_info1": "...",
+    }
+}
+```
 
 ## 📚 Citation
 
@@ -69,7 +115,7 @@ If you use this dataset in your research, please cite:
 
 ## 📄 License
 
-Apache 2.0
+This dataset is licensed under the Apache 2.0 License.
 
 ## 🤝 Acknowledgments
 
@@ -77,5 +123,4 @@ This model is part of the AdaReasoner project. For more information, visit our [
 
 ## 📧 Contact
 
-For questions and feedback, please open an issue in our [GitHub repository](https://github.com/ssmisya/AdaReasoner).
-
+For questions and feedback, please open an issue in our [GitHub repository](https://github.com/ssmisya/AdaReasoner).