Update dataset card

README.md

@@ -5,4 +5,39 @@ language:
 pretty_name: BeamSense
 size_categories:
 - 100B<n<1T
----
+---
+
+# BeamSense: MU-MIMO Beamforming Feedback Dataset for Wi-Fi Sensing
+## Dataset Summary
+
+BeamSense is a large-scale MU-MIMO Wi-Fi sensing dataset built upon Beamforming Feedback Information (BFI) and Channel State Information (CSI) collected from commodity 802.11ac devices.
+The dataset corresponds to the research presented in:
+
+- **BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback (Computer Networks, 2025)**
+
+- **BFA-Sense: Learning Beamforming Feedback Angles for Wi-Fi Sensing (PerCom Workshops, 2024)**
+
+BeamSense contains synchronized BFI, BF angles, and CSI samples from multiple Wi-Fi stations (STAs) under different environments and orientations. It is designed for:
+
+- Human activity recognition with Beamforming Feedback Information (BFI) and CSI
+- Gesture recognition with Beamforming Feedback Information (BFI) and CSI
+- Device-free sensing with BFI
+- Cross-domain generalization
+- Beamforming Feedback analysis
+- Beamforming Feedback-based attacks
+- Wi-Fi sensing algorithm development
+
+## Dataset Contents
+
+- Raw Beamforming Feedback Packet Captures: Contains BF report packets (BFI), and PHY metadata
+- Synchronized CSI: Extracted from PCAPs using Nexmon-modified pipelines
+- Synchronized BFI and CSI 
+
+
+## Multi-Environment, Multi-Day Collection: 
+
+- Includes data from: Office, Classroom, and Kitchen environments
+- LOS and NLOS cases
+- Multiple days of data collection
+- 3 Different human subjects perform 20 different activities in multiple environments and orientations
+- Spatially diverse data from multiple STAs