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