Update README.md

README.md

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 HomER v2 is a curated dataset of egocentric household activity videos designed for robotics, embodied AI, and video understanding research.
 
-The dataset contains 765 first-person videos representing approximately 100 hours of real-world household activities. Each video is accompanied by structured metadata and a natural-language description of the performed task.
+The dataset contains 765 first-person videos representing approximately 100 hours of real-world household activities collected from 420 unique participants across 49 countries spanning 5 continents. Each video is accompanied by structured metadata and a natural-language description of the performed task.
 
 ## Dataset Contents
 
@@ -47,13 +47,15 @@ The dataset contains 765 first-person videos representing approximately 100 hour
 
 ## Dataset Characteristics
 
-* Egocentric (first-person) recordings
-* Approximately 100 hours of video data
-* Natural language task descriptions for every video
-* Real-world household environments and activities
-* Balanced distribution across activity categories
-* Diverse object manipulation and interaction scenarios
-* Suitable for robotics, embodied AI, video understanding, and multimodal model evaluation
+- Egocentric (first-person) recordings
+- Approximately 100 hours of video data
+- Data collected from 420 unique participants across 49 countries
+- Geographic coverage spanning Africa, Asia, Europe, North America, and South America
+- Natural language task descriptions for every video
+- Real-world household environments and activities
+- Balanced distribution across activity categories
+- Diverse object manipulation and interaction scenarios
+- Suitable for robotics, embodied AI, video understanding, and multimodal model evaluation
 
 ## Intended Use