Improve dataset card: Add task categories, HF paper link, GitHub link, correct project page, and sample usage

README.md

@@ -1,47 +1,60 @@
 ---
 license: mit
+task_categories:
+- video-text-to-text
+- audio-text-to-text
+tags:
+- egocentric
+- multimodal
+- long-term-memory
+- question-answering
+- ai-assistant
 ---
+
 <div align="center">
   <h1>
     TeleEgo: <br> 
     Benchmarking Egocentric AI Assistants in the Wild
   </h1>
 
-  <!-- 项目徽章 -->
+  <!-- \u9879\u76ee\u5fbd\u7ae0 -->
   <p>
-    <!-- <a href="https://huggingface.co/datasets/David0219/TeleEgo">
-      <img alt="Hugging Face" src="https://img.shields.io/badge/HuggingFace-Dataset-orange">
-    </a> -->
+    <a href="https://huggingface.co/papers/2510.23981">
+      <img alt="Hugging Face Paper" src="https://img.shields.io/badge/HuggingFace-Paper-blue">
+    </a>
     <a href="https://arxiv.org/abs/2510.23981">
       <img alt="arXiv" src="https://img.shields.io/badge/ArXiv-2510.23981-b31b1b.svg">
     </a>
-    <a href="https://programmergg.github.io/jrliu.github.io/">
-      <img alt="Page" src="https://img.shields.io/badge/Project Page-Link-green">
+    <a href="https://teleai-uagi.github.io/TeleEgo/">
+      <img alt="Project Page" src="https://img.shields.io/badge/Project Page-Link-green">
+    </a>
+    <a href="https://github.com/TeleAI-UAGI/TeleEgo">
+      <img alt="GitHub" src="https://img.shields.io/badge/GitHub-Code-black">
     </a>
   </p>
 
-  <!-- <img src="assets/teaser.png" alt="Teaser" style="width:80%; max-width:700px;"> -->
+  <img src="https://github.com/TeleAI-UAGI/TeleEgo/blob/main/assets/teaser.png" alt="Teaser" style="width:80%; max-width:700px;">
   
-  📢 **Note**：This project is still under active development, and the benchmark will be continuously updated.  
+  \ud83d\udce2 **Note**\uff1aThis project is still under active development, and the benchmark will be continuously updated.  
 </div>
 
 
 
-## 📌 Introduction
+## \ud83d\udccc Introduction
 
 **TeleEgo** is a comprehensive **omni benchmark** designed for **multi-person, multi-scene, multi-task, and multimodal long-term memory reasoning** in egocentric video streams.
 It reflects realistic personal assistant scenarios where continuous egocentric video data is collected across hours or even days, requiring models to maintain and reason over **memory, understanding, and cross-memory reasoning**. **Omni** here means that TeleEgo covers the full spectrum of **roles, scenes, tasks, modalities, and memory horizons**, offering all-round evaluation for egocentric AI assistants.
 
 **TeleEgo provides:**
 
-- 🧠 **Omni-scale, diverse egocentric data** from 5 roles across 4 daily scenarios.
-- 🎤 **Multi-modal annotations**: video, narration, and speech transcripts.
-- ❓ **Fine-grained QA benchmark**: 3 cognitive dimensions, 12 subcategories.
+- \ud83e\udde0 **Omni-scale, diverse egocentric data** from 5 roles across 4 daily scenarios.
+- \ud83c\udfa4 **Multi-modal annotations**: video, narration, and speech transcripts.
+- \u2753 **Fine-grained QA benchmark**: 3 cognitive dimensions, 12 subcategories.
 
 
 ---
 
-## 📊 Dataset Overview
+## \ud83d\udcca Dataset Overview
 
 - **Participants**: 5 (balanced gender)
 - **Scenarios**:
@@ -57,70 +70,66 @@ It reflects realistic personal assistant scenarios where continuous egocentric v
 
 ---
 
-## 🧪 Benchmark Tasks
+## \ud83e\uddea Benchmark Tasks
 
 TeleEgo-QA evaluates models along **three main dimensions**:
 
-1. **Memory**
-   - Short-term / Long-term / Ultra-long Memory
-   - Entity Tracking
-   - Temporal Comparison & Interval
+1.  **Memory**
+    -   Short-term / Long-term / Ultra-long Memory
+    -   Entity Tracking
+    -   Temporal Comparison & Interval
 
-2. **Understanding**
-   - Causal Understanding
-   - Intent Inference
-   - Multi-step Reasoning
-   - Cross-modal Understanding
+2.  **Understanding**
+    -   Causal Understanding
+    -   Intent Inference
+    -   Multi-step Reasoning
+    -   Cross-modal Understanding
 
-3. **Cross-Memory Reasoning**
-   - Cross-temporal Causality
-   - Cross-entity Relation
-   - Temporal Chain Understanding
+3.  **Cross-Memory Reasoning**
+    -   Cross-temporal Causality
+    -   Cross-entity Relation
+    -   Temporal Chain Understanding
 
 Each QA instance includes:
 
 - Question type: Single-choice, Multi-choice, Binary, Open-ended
 
-<!-- ---
-
 ---
- -->
-<!-- ## Baselines
-![Baseline 1](assets/res1.png)
-![Baseline 2](assets/res2.png)
+
+## \ud83d\uddc2\ufe0f Repository Structure
+
+```
+TeleEgo/
+\u2502
+\u251c\u2500\u2500 teleego_data/                # Dataset samples / metadata (link provided separately)
+\u251c\u2500\u2500 weights/                     # Pre-trained weights (MiniCPM-o, Qwen2.5-Omni, ...)
+\u251c\u2500\u2500 TeleEgo_gemini25_pro_eval.py # Evaluation scripts
+\u251c\u2500\u2500 TeleEgo_gpt4o_eval.py        # Evaluation scripts
+\u251c\u2500\u2500 TeleEgo_minicpm_eval.py      # Evaluation scripts
+\u251c\u2500\u2500 TeleEgo_qwen25_eval.py       # Evaluation scripts
+\u251c\u2500\u2500 TeleEgo_qweno25_eval.py      # Evaluation scripts
+\u251c\u2500\u2500 TeleEgo_videochat_eval.py    # Evaluation scripts
+\u2514\u2500\u2500 README.md                    # This file
+```
+
+## \ud83d\ude80 Usage
+
+### \ud83d\udce5 Dataset Access
+
+Due to privacy and licensing constraints, please request access here:
+\ud83d\udcdd [**Dataset Access Form**](https://huggingface.co/datasets/David0219/TeleEgo).
+
+### \ud83e\uddea Running Evaluations
+
+```bash
+python TeleEgo_gpt4o_eval.py
+```
+
+Submit your results to our \ud83c\udfc6 [**Online Leaderboard**](https://programmergg.github.io/jrliu.github.io/#leaderboard).
+
 ---
 
-## 🤝 Collaborators
-
-Thanks to these amazing people for contributing to the project:
-
-<a href="https://github.com/rebeccaeexu">
-  <img src="https://avatars.githubusercontent.com/rebeccaeexu" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/DavisWANG0">
-  <img src="https://avatars.githubusercontent.com/DavisWANG0" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/H-oliday">
-  <img src="https://avatars.githubusercontent.com/H-oliday" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/Xiaolong-RRL">
-  <img src="https://avatars.githubusercontent.com/Xiaolong-RRL" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/Programmergg">
-  <img src="https://avatars.githubusercontent.com/Programmergg" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/yiheng-wang-duke">
-  <img src="https://avatars.githubusercontent.com/yiheng-wang-duke" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/cocowy1">
-  <img src="https://avatars.githubusercontent.com/cocowy1" width="60px" style="border-radius:50%" />
-</a>
-<a href="https://github.com/chxy95">
-  <img src="https://avatars.githubusercontent.com/chxy95" width="60px" style="border-radius:50%" />
-</a> -->
-
-
-## 📜 Citation
+## \ud83d\udcdc Citation
 
 If you find our **TeleEgo** in your research, please cite:
 
@@ -136,21 +145,14 @@ If you find our **TeleEgo** in your research, please cite:
 }
 ```
 
-## 🪪 License
+## \ud83e\udeaa License
 
 This project is licensed under the **MIT License**.
 Dataset usage is restricted under a **research-only license**.
 
 ---
 
-<!-- ## References
-
-* EgoLife: Towards Egocentric Life Assistant [\[arXiv:2503.03803\]](https://arxiv.org/abs/2503.03803)
-* M3-Agent: Seeing, Listening, Remembering, and Reasoning [\[arXiv:2508.09736\]](https://arxiv.org/abs/2508.09736)
-* HourVideo: 1-Hour Video-Language Understanding [\[arXiv:2411.04998\]](https://arxiv.org/abs/2411.04998) -->
-
-
-## 📬 Contact
+## \ud83d\udcec Contact
 
 If you have any questions, please feel free to reach out: chxy95@gmail.com.
 
@@ -158,15 +160,12 @@ If you have any questions, please feel free to reach out: chxy95@gmail.com.
 
 <div align="center">
 
-<strong>✨ TeleEgo is an Omni benchmark, a step toward building personalized AI assistants with true long-term memory, reasoning and decision-making in real-world wearable scenarios. ✨</strong>
+<strong>\u2728 TeleEgo is an Omni benchmark, a step toward building personalized AI assistants with true long-term memory, reasoning and decision-making in real-world wearable scenarios. \u2728</strong>
 
 </div>
 
-<!-- <br/> -->
-
-<!-- <div align="center" style="margin-top: 10px;">
-  <img src="assets/TeleAI.jpg" alt="TeleAI Logo" width="120px" />
+<div align="center" style="margin-top: 10px;">
+  <img src="https://github.com/TeleAI-UAGI/TeleEgo/blob/main/assets/TeleAI.jpg" alt="TeleAI Logo" width="120px" />
   &nbsp;&nbsp;&nbsp;
-  <img src="assets/TeleEgo.png" alt="TeleEgo Logo" width="120px" />
-</div>
- -->
+  <img src="https://github.com/TeleAI-UAGI/TeleEgo/blob/main/assets/TeleEgo.png" alt="TeleEgo Logo" width="120px" />
+</div>