AirFM DDA Dataset Dataset Summary This repository contains the precomputed CSI evaluation set used by the AirFM DDA validation pipeline. The data is derived from the processed DeepMIMO test split and stores binary PyTorch sample files under samples/ , together with a root level manifest.json that records sample ordering, split metadata, and per sample paths. This repository is intended to be used together with the model checkpoints in: https://huggingface.co/SII kejia/AirFM DDA Model What Is Included Current repository contents: samples/ : precomputed CSI samples stored as .pt files manifest.json : dataset manifest used by the released validation loader .gitattributes : Hugging Face LFS tracking metadata README.md : this dataset card Dataset scale: Total saved samples: 47,256 Approximate on disk size: 122 GB Save dtype: float32 Maximum temporal length ( T ): 80 Maximum subcarrier coverage ( K ): 128 Per folder counts: Folder Samples : samples/city 18 denver 3p5/cfg1 8,863 samples/city 18 denver 3p5/cfg2 8,863 samples/city 19 oklahoma 3p5/cfg1 8,222 samples/city 19 oklahoma 3p5/cfg2 8,222 samples/city 23 beijing 3p5/cfg1 4,570 samples/city 23 beijing 3p5/cfg2 4,570 samples/city 27 r…
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