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---
license: cc-by-4.0
task_categories:
- question-answering
language:
- en
---
# StreamGaze Dataset
**StreamGaze** is a comprehensive streaming video benchmark for evaluating MLLMs on gaze-based QA tasks across past, present, and future contexts.
## 📁 Dataset Structure
```
streamgaze/
├── metadata/
│ ├── egtea.csv # EGTEA fixation metadata
│ ├── egoexolearn.csv # EgoExoLearn fixation metadata
│ └── holoassist.csv # HoloAssist fixation metadata
│
├── qa/
│ ├── past_gaze_sequence_matching.json
│ ├── past_non_fixated_object_identification.json
│ ├── past_object_transition_prediction.json
│ ├── past_scene_recall.json
│ ├── present_future_action_prediction.json
│ ├── present_object_attribute_recognition.json
│ ├── present_object_identification_easy.json
│ ├── present_object_identification_hard.json
│ ├── proactive_gaze_triggered_alert.json
│ └── proactive_object_appearance_alert.json
│
└── videos/
├── videos_egtea_original.tar.gz # EGTEA original videos
├── videos_egtea_viz.tar.gz # EGTEA with gaze visualization
├── videos_egoexolearn_original.tar.gz # EgoExoLearn original videos
├── videos_egoexolearn_viz.tar.gz # EgoExoLearn with gaze visualization
├── videos_holoassist_original.tar.gz # HoloAssist original videos
└── videos_holoassist_viz.tar.gz # HoloAssist with gaze visualization
```
## 🎯 Task Categories
### **Past (Historical Context)**
- **Gaze Sequence Matching**: Match gaze patterns to action sequences
- **Non-Fixated Object Identification**: Identify objects outside gaze
- **Object Transition Prediction**: Predict object state changes
- **Scene Recall**: Recall scene details from memory
### **Present (Current Context)**
- **Object Identification (Easy/Hard)**: Identify objects in/outside FOV
- **Object Attribute Recognition**: Recognize object attributes
- **Future Action Prediction**: Predict upcoming actions
### **Proactive (Future-Oriented)**
- **Gaze-Triggered Alert**: Alert based on gaze patterns
- **Object Appearance Alert**: Alert on object appearance
## 📥 Usage
### Extract Videos
```bash
# Extract EGTEA videos
tar -xzf videos_egtea_original.tar.gz -C videos/egtea/original/
tar -xzf videos_egtea_viz.tar.gz -C videos/egtea/viz/
# Extract EgoExoLearn videos
tar -xzf videos_egoexolearn_original.tar.gz -C videos/egoexolearn/original/
tar -xzf videos_egoexolearn_viz.tar.gz -C videos/egoexolearn/viz/
# Extract HoloAssist videos
tar -xzf videos_holoassist_original.tar.gz -C videos/holoassist/original/
tar -xzf videos_holoassist_viz.tar.gz -C videos/holoassist/viz/
```
## 🔑 Metadata Format
Each metadata CSV contains:
- `video_source`: Video identifier
- `fixation_id`: Fixation segment ID
- `start_time_seconds` / `end_time_seconds`: Temporal boundaries
- `center_x` / `center_y`: Gaze center coordinates (normalized)
- `representative_object`: Primary object at gaze point
- `other_objects_in_cropped_area`: Objects within FOV
- `other_objects_outside_fov`: Objects outside FOV
- `scene_caption`: Scene description
- `action_caption`: Action description
## 📝 QA Format
Each QA JSON file contains:
```json
{
"response_time": "[00:08 - 09:19]",
"questions": [
{
"question": "Among {milk, spoon, pan, phone}, which did the user never gaze at?",
"time_stamp": "03:14",
"answer": "A",
"options": [
"A. milk",
"B. spoon",
"C. pan",
"D. phone"
],
}
],
"video_path": "OP01-R03-BaconAndEggs.mp4"
}
```
## 📄 License
This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
See https://creativecommons.org/licenses/by/4.0/
## 🔗 Links
- **Evaluation code**: [https://github.com/daeunni/StreamGaze](https://github.com/daeunni/StreamGaze)
- **Project page**: [https://streamgaze.github.io/](https://streamgaze.github.io/)
## 📧 Contact
For questions or issues, please contact: daeun@cs.unc.edu |