Update README.md

README.md

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 ## Description
 
 - **Synthetic datasets (KITTI & SPAC).** Event streams are partitioned into contiguous windows of Δt = 0.1 s (10^8 ns per segment) and stored in `.npz` files. The `merge_data` directory contains background–rain composites, while `raw_data` contains background-only events. Each `.npz` stores the arrays `['x', 'y', 't', 'p']`.
-- **EVK4 recordings (artificial rain & real-world).** Raw `.raw` event streams are converted to `.npz` and segmented into Δt = 0.1 s (10^5 μs per segment), with the same keys `['x', 'y', 't', 'p']`. For the artificial-rain subset, labels are generated using a K-Nearest Neighbors (KNN) procedure: background events in rainy sequences are identified via spatiotemporal alignment with corresponding rain-free data. Label files are provided in `.npy` format.
+- **Prophesee EVK4 recordings (artificial rain & real-world).** Raw `.raw` event streams are converted to `.npz` and segmented into Δt = 0.1 s (10^5 μs per segment), with the same keys `['x', 'y', 't', 'p']`. For the artificial-rain subset, labels are generated using a K-Nearest Neighbors (KNN) procedure: background events in rainy sequences are identified via spatiotemporal alignment with corresponding rain-free data. Label files are provided in `.npy` format.
 
 ## Dataset Structure