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README.md

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-license: apache-2.0
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+# StreamGaze Dataset
+
+**StreamGaze** is a comprehensive egocentric vision benchmark for evaluating multimodal large language models on temporal gaze-based question answering 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/
+```
+
+### Load with Python
+
+```python
+from datasets import load_dataset
+import json
+import pandas as pd
+
+# Load dataset
+dataset = load_dataset("danaleee/streamgaze_private")
+
+# Load metadata
+egtea_meta = pd.read_csv("metadata/egtea.csv")
+egoexo_meta = pd.read_csv("metadata/egoexolearn.csv")
+holoassist_meta = pd.read_csv("metadata/holoassist.csv")
+
+# Load QA data
+with open("qa/present_object_identification_easy.json") as f:
+    qa_data = json.load(f)
+```
+
+## 🔑 Metadata Fields
+
+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 (EgoExoLearn only)
+
+## 📝 QA Format
+
+Each QA JSON file contains:
+```json
+{
+  "qa_pairs": [
+    {
+      "video_id": "OP01-R01-PastaSalad",
+      "fixation_id": 5,
+      "question": "What object is the camera wearer looking at?",
+      "choices": ["fork", "plate", "pasta", "bowl"],
+      "answer": "pasta",
+      "task_type": "present_object_identification_easy"
+    }
+  ]
+}
+```
+
+## 📄 License
+
+This dataset is for research purposes only. Please cite our paper if you use this dataset.
+
+## 🔗 Links
+
+- **GitHub**: [https://github.com/daeunlee_adobe/StreamGaze](https://github.com/daeunlee_adobe/StreamGaze)
+- **Paper**: [Coming soon]
+
+## 📧 Contact
+
+For questions or issues, please contact: daeunlee@adobe.com
+