Update README.md

README.md

@@ -1,7 +1,13 @@
+---
+license: cc-by-4.0
+task_categories:
+- question-answering
+language:
+- en
+---
 # 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.
-
+**StreamGaze** is a comprehensive streaming video benchmark for evaluating MLLMs on gaze-based QA tasks across past, present, and future contexts.
 
 ## 📁 Dataset Structure
 
@@ -68,27 +74,7 @@ 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
+## 🔑 Metadata Format
 
 Each metadata CSV contains:
 - `video_source`: Video identifier
@@ -99,36 +85,42 @@ Each metadata CSV contains:
 - `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)
+- `action_caption`: Action description 
 
 ## 📝 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"
-    }
-  ]
-}
+  {
+    "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 for research purposes only. Please cite our paper if you use this dataset.
+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
 
-- **GitHub**: [https://github.com/daeunlee_adobe/StreamGaze](https://github.com/daeunlee_adobe/StreamGaze)
-- **Paper**: [Coming soon]
+- **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: daeunlee@adobe.com
-
+For questions or issues, please contact: daeun@cs.unc.edu