Update README.md

README.md

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 ## 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. 
-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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+The FedJam dataset is a **multimodal dataset** for jamming detection and classification in wireless networks, combining time–frequency spectrogram images with
+cross-layer network KPI time series. Each sample includes aligned **vision and time-series modalities**, allowing joint analysis of physical-layer signal behavior
+and network-layer performance. The data are collected from a real over-the-air experimental testbed, under a variety of operating conditions, including multiple
+adversarial jamming scenarios as well as normal operation without any jammer present, reflecting realistic wireless environments.
 
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