Update README.md

README.md

@@ -10,9 +10,7 @@ multilinguality:
 
 # FedJam Dataset
 
-
 The **FedJam dataset** is a **multimodal dataset** designed for jamming detection and classification in wireless networks, pairing **time–frequency spectrogram images** with **cross-layer network KPI time series**. The dataset is designed to support **multimodal learning**, **federated learning**, and **robust classification under heterogeneous data distributions**.
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 Each sample contains **aligned vision and time-series modalities**, enabling joint modeling of physical-layer signal characteristics and network-layer performance indicators.
 
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@@ -24,11 +22,11 @@ Each sample contains **aligned vision and time-series modalities**, enabling joi
   - Resolution: **224 × 224 × 3**  
   - One spectrogram image per sample
 
-- **Modality 2 (Time Series)**: Network KPIs  
+- **Modality 2 (Time Series)**: Network KPIs (WiFi)  
   - Format: CSV / structured sequences  
   - **Fixed-length multivariate time series**
   - **256 measurements per KPI feature, per sample**
-  - KPI features:
+  - Features:
     - `Time`
     - `Latency`
     - `Jitter`