Add dataset card, task category, and paper/code links

README.md

@@ -1,3 +1,44 @@
 ---
 license: apache-2.0
+task_categories:
+- image-text-to-text
+tags:
+- visual-reasoning
+- reinforcement-learning
+- multi-source
+- rlvr
 ---
+
+# MARS: Mono-Anchored Multi-Source Visual Reasoning
+
+This repository contains the dataset for the paper "[Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning](https://huggingface.co/papers/2605.25437)".
+
+- **GitHub Repository:** [https://github.com/AI9Stars/MARS](https://github.com/AI9Stars/MARS)
+- **Paper:** [https://arxiv.org/abs/2605.25437](https://arxiv.org/abs/2605.25437)
+
+## Introduction
+MARS is a novel mono-anchored multi-source reasoning framework designed for Reinforcement Learning with Verifiable Rewards (RLVR). It treats each visual modality as an independent information source and uses mono-source rewards as dynamic anchors to explicitly incorporate information gain from multi-source fusion while suppressing potential noise or conflicts.
+
+## Dataset Summary
+The dataset provides reinforcement fine-tuning (RL) data for several multi-source visual reasoning domains:
+
+| Domain | Task Type |
+| :--- | :--- |
+| **Infrared** | Grounding tasks (RGB & IR) |
+| **Depth** | Spatial reasoning using depth information |
+| **Multi-view** | Reasoning across multiple perspectives |
+| **Text-rich** | Visual reasoning in document-intensive environments |
+
+For instructions on how to download the original images and prepare the data for training using the MARS framework, please refer to the [official GitHub repository](https://github.com/AI9Stars/MARS).
+
+## Citation
+If you find this work useful, please cite our paper:
+
+```bibtex
+@article{zeng2026does,
+  title={Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning},
+  author={Zeng, Fanhu and Luo, Zhicong and Wang, Zefan and Li, You and Chen, Chi and Sun, Maosong},
+  journal={arXiv preprint arXiv:2605.25437},
+  year={2026}
+}
+```