| # CISR24 Data Card |
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|
| ## Summary |
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|
| CISR24 is a synthetic complex-baseband IQ benchmark for unified recognition of |
| 24 communication, sensing, and ISAC waveforms. It is intended to accompany the |
| CDTFNet paper and uses one shared label space across all three superclasses. |
|
|
| ## Composition |
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|
| - 10 communication classes; |
| - 6 intra-pulse sensing classes; |
| - 8 ISAC classes; |
| - 705,600 total examples in a balanced train/validation/test protocol; |
| - 1024 complex samples per record at 10 MHz; |
| - 21 SNR levels from -20 dB to 20 dB in 2 dB steps; |
| - clean AWGN with active-burst SNR calibration; |
| - float32 two-channel I/Q stored in HDF5. |
|
|
| See `classes.csv` for IDs and `DATASET_SPEC.md` for exact waveform parameters. |
|
|
| ## Intended use |
|
|
| - closed-set waveform recognition across communication, sensing, and ISAC; |
| - SNR-wise model comparison under the paper's fixed split protocol; |
| - representation, fusion, and robustness studies that clearly distinguish the |
| clean release from evaluation-time perturbations. |
|
|
| ## Out-of-scope use |
|
|
| - claims about measured over-the-air performance; |
| - operational spectrum enforcement or safety-critical decisions; |
| - treating evaluation-time CFO/fading as part of the clean training payload; |
| - altering labels, split membership, or SNR calibration while reporting direct |
| comparison with the paper. |
|
|
| ## Limitations |
|
|
| - The benchmark is simulated and excludes hardware effects, multipath, clutter, |
| delayed radar echoes, clipping, and quantization from the clean release. |
| - Low-dimensional shortcut audits reduce but cannot eliminate all shortcut risk. |
| - The regenerated CISR24 payload passed full IQ, manifest/HDF5, |
| waveform-conformance, 1,512-cell effective-SNR, and shortcut |
| audits. These checks establish conformance to the declared synthetic protocol; |
| they do not establish over-the-air validity. |
|
|
| ## Provenance |
|
|
| The release records its exact generator commit, MATLAB/toolbox versions, |
| configuration, paper hash, source archive, checksums, and validation output in |
| `audit/release_meta.json`, `files.csv`, `SHA256SUMS`, and `provenance/`. |
|
|
| ## License and citation |
|
|
| CISR24 is authored by QI Maoqian. Dataset artifacts are licensed under CC BY |
| 4.0, while generators, loaders, and validation tools are licensed under Apache |
| License 2.0. Source code is hosted at |
| <https://github.com/chaser1780/CISR24>, and the full release is hosted at |
| <https://huggingface.co/datasets/okra123/CISR24>. The registered dataset version |
| is [DOI 10.57967/hf/9724](https://doi.org/10.57967/hf/9724). |
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