Update README.md

README.md

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-# MATVB
-This project introduces a new benchmark for MAth Text Vision task. This benchmark is built on Wikipedia math images.
+---
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "images.zip"
+task_categories:
+- image-captioning
+- image-text-retrieval
+language:
+- en
+tags:
+- mathematics
+- multimodal
+- benchmark
+- wikipedia
+size_categories:
+- 1K<n<10K
+---
+
+# MAT-VB: MAthematical Text-Vision Benchmark
+
+🏆 **Best Resource Paper Award** — *2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL)*
+
+Official Hugging Face dataset repository for **MAT-VB**, a benchmark built on Wikipedia math images designed to advance research in multi-modal mathematical tasks, including visual-text retrieval and math image captioning.
+
+---
+
+## 🔗 Links
+
+* **GitHub Repository:** [AIIRLab/MATVB](https://github.com/AIIRLab/MATVB)
+* **Paper (IEEE Xplore):** [MAT-VB: MAthematical Text-Vision Benchmark](https://ieeexplore.ieee.org/abstract/document/11363711)
+
+---
+
+## 📁 Dataset Contents
+
+MAT-VB provides a curated collection of mathematical visual data from Wikipedia for evaluating multimodal AI models:
+
+* **`images.zip`**: Contains all ~4,000 Wikipedia math image files (216 MB uncompressed archive).
+* **Metadata & Annotations**: Includes descriptive captions, query-image mappings, and split indexes for training and evaluation pipelines.
+
+---
+
+## 🚀 Usage with Python `datasets`
+
+Hugging Face automatically extracts and parses `images.zip` when loading through the `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load the dataset directly
+dataset = load_dataset("AIIRLab/MATVB")
+
+# Access a sample
+example = dataset["train"][0]
+image = example["image"]
+caption = example.get("caption", "")