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fix: update broken dataset download links in user guide
Replace dead URLs for MM-Fi and Wi-Pose datasets with working links: - MM-Fi: https://ntu-aiot-lab.github.io/mm-fi + GitHub repo with download links - Wi-Pose: https://github.com/NjtechCVLab/Wi-PoseDataset with Google Drive links Also corrects Wi-Pose source attribution (Entropy 2023, 12 subjects). Fixes ruvnet#84 Co-Authored-By: claude-flow <[email protected]>
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docs/user-guide.md

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@@ -484,12 +484,12 @@ The training pipeline is implemented in pure Rust (7,832 lines, zero external ML
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The system supports two public WiFi CSI datasets:
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| Dataset | Source | Format | Subjects | Environments |
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|---------|--------|--------|----------|-------------|
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| [MM-Fi](https://mmfi.github.io/) | NeurIPS 2023 | `.npy` | 40 | 4 rooms |
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| [Wi-Pose](https://github.com/aiot-lab/Wi-Pose) | AAAI 2024 | `.mat` | 8 | 3 rooms |
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| Dataset | Source | Format | Subjects | Environments | Download |
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|---------|--------|--------|----------|-------------|----------|
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| [MM-Fi](https://ntu-aiot-lab.github.io/mm-fi) | NeurIPS 2023 | `.npy` | 40 | 4 rooms | [GitHub repo](https://github.com/ybhbingo/MMFi_dataset) (Google Drive / Baidu links inside) |
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| [Wi-Pose](https://github.com/NjtechCVLab/Wi-PoseDataset) | Entropy 2023 | `.mat` | 12 | 1 room | [GitHub repo](https://github.com/NjtechCVLab/Wi-PoseDataset) (Google Drive / Baidu links inside) |
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Download and place in a `data/` directory.
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Download the dataset files and place them in a `data/` directory.
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### Step 2: Train
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