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

This PR enhances the dataset card for TeleEgo by:
- Adding `task_categories: ['video-text-to-text', 'audio-text-to-text']` and descriptive `tags` (`egocentric`, `multimodal`, `long-term-memory`, `question-answering`, `ai-assistant`) to the metadata for better discoverability on the Hub.
- Including a direct link to the Hugging Face paper page (`https://huggingface.co/papers/2510.23981`).
- Adding a link to the GitHub repository (`https://github.com/TeleAI-UAGI/TeleEgo`).
- Correcting the project page URL to `https://teleai-uagi.github.io/TeleEgo/` for consistency with the main project sources.
- Uncommenting the `teaser.png` image and the final project logos, using absolute GitHub URLs to ensure proper rendering.
- Incorporating "Repository Structure" and "Usage" sections (including dataset access and a code snippet for running evaluations) directly from the GitHub README, providing practical guidance for users.

These changes provide more comprehensive information and make the dataset easier to discover and use.

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>