Update task category, add paper/code links, and enhance sample usage

This PR significantly improves the dataset card for `danaleee/StreamGaze` by:

* **Updating Metadata**:
* Changing the `task_categories` from `question-answering` to `video-text-to-text` to more accurately reflect the dataset's focus on gaze-guided temporal reasoning and proactive understanding in streaming videos.
* Adding relevant `tags` such as `gaze`, `multimodal`, `video-understanding`, `streaming-video`, `temporal-reasoning`, `proactive-understanding`, `egocentric-vision`, and `visual-question-answering` to enhance discoverability.
* **Adding Prominent Links**: Including direct links to the paper ([`2512.01707`](https://huggingface.co/papers/2512.01707)), project page, and GitHub repository at the very top of the dataset card for easy access.
* **Enhancing Sample Usage**: Expanding the "Usage" section to incorporate detailed instructions for data preparation and running evaluations, including code snippets for quick evaluation on existing models, directly sourced from the project's GitHub README. This provides clear, actionable steps for users.
* **Updating Links Section**: Ensuring all relevant links (Paper, Evaluation code, Project page) are consistently listed in the `

README.md

@@ -1,12 +1,24 @@
 ---
-license: cc-by-4.0
-task_categories:
-- question-answering
 language:
 - en
+license: cc-by-4.0
+task_categories:
+- video-text-to-text
+tags:
+- gaze
+- multimodal
+- video-understanding
+- streaming-video
+- temporal-reasoning
+- proactive-understanding
+- egocentric-vision
+- visual-question-answering
 ---
+
 # StreamGaze Dataset
 
+[Paper](https://huggingface.co/papers/2512.01707) | [Project Page](https://streamgaze.github.io/) | [Code](https://github.com/daeunni/StreamGaze)
+
 **StreamGaze** is a comprehensive streaming video benchmark for evaluating MLLMs on gaze-based QA tasks across past, present, and future contexts.
 
 ## 📁 Dataset Structure
@@ -56,9 +68,25 @@ streamgaze/
 - **Gaze-Triggered Alert**: Alert based on gaze patterns
 - **Object Appearance Alert**: Alert on object appearance
 
-## 📥 Usage
+## 🚀 Quick Start
 
-### Extract Videos
+### Data Preparation
+
+Download our dataset from HuggingFace and extract videos. The dataset should be located as below (note: the dataset itself is in `danaleee/StreamGaze`):
+
+```
+StreamGaze/
+├── dataset/
+│   ├── videos/
+│   │   ├── original_video/        # Original egocentric videos
+│   │   └── gaze_viz_video/        # Videos with gaze overlay
+│   └── qa/
+│       ├── past_*.json             # Past task QA pairs
+│       ├── present_*.json          # Present task QA pairs
+│       └── proactive_*.json        # Proactive task QA pairs
+```
+
+#### Extract Videos
 
 ```bash
 # Extract EGTEA videos
@@ -74,6 +102,37 @@ tar -xzf videos_holoassist_original.tar.gz -C videos/holoassist/original/
 tar -xzf videos_holoassist_viz.tar.gz -C videos/holoassist/viz/
 ```
 
+### Running Evaluation
+
+Quick evaluation on existing models:
+
+```bash
+# Evaluate ViSpeak (without gaze visualization)
+bash scripts/vispeak.sh
+
+# Evaluate ViSpeak (with gaze visualization)
+bash scripts/vispeak.sh --use_gaze_instruction
+
+# Evaluate GPT-4o
+bash scripts/gpt4o.sh --use_gaze_instruction
+
+# Evaluate Qwen2.5-VL
+bash scripts/qwen25vl.sh --use_gaze_instruction
+```
+
+Results will be automatically computed and saved to:
+
+```
+results/
+├── ModelName/
+│   ├── results/              # Without gaze visualization
+│   │   ├── *_output.json
+│   │   └── evaluation_summary.json
+│   └── results_viz/          # With gaze visualization
+│       ├── *_output.json
+│       └── evaluation_summary.json
+```
+
 ## 🔑 Metadata Format
 
 Each metadata CSV contains:
@@ -118,6 +177,7 @@ See https://creativecommons.org/licenses/by/4.0/
 
 ## 🔗 Links
 
+- **Paper**: [https://huggingface.co/papers/2512.01707](https://huggingface.co/papers/2512.01707)
 - **Evaluation code**: [https://github.com/daeunni/StreamGaze](https://github.com/daeunni/StreamGaze)
 - **Project page**: [https://streamgaze.github.io/](https://streamgaze.github.io/)