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README.md

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+# EOC-Bench : Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
+
+<div align=left>
+
+[![arXiv preprint](https://img.shields.io/badge/arxiv-2501.00599-ECA8A7?logo=arxiv)]() 
+[![GitHub](https://img.shields.io/badge/%20Git%20Hub-Code-yellow)](https://github.com/alibaba-damo-academy/EOCBench/)
+[![Project Page](https://img.shields.io/badge/🌐%20Project-Page-9DC3E6)](https://circleradon.github.io/EOCBench/)
+[![Learderboard](https://img.shields.io/badge/🏆%20Leaderboard-Page-96D03A)](https://circleradon.github.io/EOCBench/#leaderboard)
+
+
+## 🔍 Overview
+we introduce <strong>EOC-Bench</strong>, an innovative benchmark designed to systematically evaluate object-centric embodied cognition in dynamic egocentric scenarios.
+Specially, <strong>EOC-Bench</strong> features 3,277 meticulously annotated QA pairs categorized into three temporal categories: Past, Present, and Future, covering 11 fine-grained evaluation  dimensions and 3 visual object referencing types.
+To ensure thorough assessment, we develop a  mixed-format human-in-the-loop annotation framework with four types of questions and design a novel multi-scale temporal accuracy metric for open-ended temporal evaluation. 
+
+<p align="center">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/64a3fe3dde901eb01df12398/gJb0lE0mi6EskZQ8H0Qsm.png" width="100%" style="margin-bottom: 0.2;"/>
+<p>
+
+## 📚 Tasks Definition
+EOC-Bench structures questions into three temporally grounded categories: **Past, Present, and Future**, with a total of **11** categories.
+
+![data.png](https://cdn-uploads.huggingface.co/production/uploads/64a3fe3dde901eb01df12398/wDwXgMA6UNyvtdWhqqzq9.png)
+
+### 📈 Evaluation
+Please see our [GitHub](https://github.com/alibaba-damo-academy/EOCBench/).