| --- |
| pretty_name: CISR24 |
| license: cc-by-4.0 |
| size_categories: |
| - 100K<n<1M |
| tags: |
| - wireless |
| - isac |
| - waveform-recognition |
| - complex-baseband |
| - iq |
| - hdf5 |
| --- |
| |
| # CISR24 |
|
|
| CISR24 is the controlled complex-baseband benchmark introduced in the paper |
| "CDTFNet: A Cross-Domain Token-Fusion Transformer for Waveform-Level |
| Electromagnetic Awareness in Low-Altitude Intelligent Networks." It defines one closed-set task over 24 waveform classes: |
| 10 communication, 6 sensing, and 8 integrated sensing and communication (ISAC) |
| classes. |
|
|
| ## Paper protocol |
|
|
| | Property | Setting | |
| | --- | --- | |
| | Sampling rate | 10 MHz | |
| | Record | 1024 complex samples (102.4 us) | |
| | Storage | two-channel float32 I/Q in HDF5 | |
| | SNR | -20 dB to 20 dB, step 2 dB (21 levels) | |
| | Channel | clean AWGN | |
| | SNR reference | active-burst average power | |
| | Train | 1000 samples/class/SNR; 504,000 total | |
| | Validation | 200 samples/class/SNR; 100,800 total | |
| | Test | 200 samples/class/SNR; 100,800 total | |
| | Total | 705,600 samples | |
|
|
| The complete dataset is hosted in this Hugging Face repository. Generation, |
| validation, and loader source code is available from the |
| [CISR24 GitHub repository](https://github.com/chaser1780/CISR24) and its |
| [v1.1.1 release](https://github.com/chaser1780/CISR24/releases/tag/v1.1.1). |
| The authoritative label order is [classes.csv](classes.csv). The complete |
| waveform definitions are in [docs/DATASET_SPEC.md](docs/DATASET_SPEC.md). |
| The exact loop/seed pseudocode is in |
| [docs/GENERATION_ALGORITHM.md](docs/GENERATION_ALGORITHM.md), and public artifact |
| availability is defined by [docs/REPRODUCIBILITY.md](docs/REPRODUCIBILITY.md). |
|
|
| ## Release status |
|
|
| The regenerated CISR24 payload passes the complete technical release gate: |
|
|
| - all 24 classes and seven waveform families follow Tables II and III; |
| - all 705,600 records have balanced class/SNR cells and collision-free seeds; |
| - train, validation, and test samples and seeds are mutually disjoint; |
| - every manifest row matches its HDF5 row and all I/Q values are finite; |
| - all 1,512 class/SNR/split SNR cells pass the declared tolerances; |
| - waveform-conformance and low-dimensional shortcut audits pass. |
|
|
| Machine-readable results are distributed with the data under `audit/`. See |
| [docs/PAPER_ALIGNMENT.md](docs/PAPER_ALIGNMENT.md) for the per-class evidence. |
|
|
| ## Generate CISR24 |
|
|
| Required MATLAB products: |
|
|
| - MATLAB R2025a or a compatible release; |
| - Communications Toolbox; |
| - Phased Array System Toolbox. |
|
|
| Smoke test: |
|
|
| ```matlab |
| addpath('dataset/matlab'); |
| generate_cisr24_smoke_test(); |
| ``` |
|
|
| Full generation is intentionally explicit because it replaces the complete |
| 705,600-record payload: |
|
|
| ```matlab |
| addpath('dataset/matlab'); |
| cfg = cisr24_default_config(); |
| cfg.force_overwrite = false; |
| generate_cisr24_dataset(cfg); |
| ``` |
|
|
| Set `CISR24_OUTPUT_ROOT` to the desired data volume before generation. If it is |
| unset, the generator writes to `dataset/releases/CISR24`. |
| Public files use `cisr24_{train,val,test}.h5` and matching manifests. |
|
|
| ## Validate |
|
|
| ```bash |
| python3 dataset/tools/audit_paper_alignment.py \ |
| --release-root "$CISR24_OUTPUT_ROOT" \ |
| --full-iq-scan \ |
| --output-json "$CISR24_OUTPUT_ROOT/audit/paper_alignment.json" |
| ``` |
|
|
| Do not publish unless the command exits successfully with all release-blocking |
| checks true, including unique seeds within every split. |
|
|
| ## Publication layout |
|
|
| GitHub should contain documentation, taxonomy, generation and validation code, |
| a loader, checksums, citation metadata, and a tiny example only. The full HDF5 |
| payload is about 5.6 GiB and the training HDF5 file exceeds GitHub's practical |
| single-file limits. The full data is hosted here, while source code is hosted on |
| [GitHub](https://github.com/chaser1780/CISR24). See |
| [docs/PUBLIC_RELEASE.md](docs/PUBLIC_RELEASE.md). Quantitative shortcut evidence |
| follows [docs/SHORTCUT_AUDIT.md](docs/SHORTCUT_AUDIT.md). |
|
|
| CISR24 is authored by QI Maoqian. Dataset artifacts are licensed under CC BY |
| 4.0 and source code is licensed under Apache License 2.0. Release locations and |
| version status are recorded in [RELEASE.md](RELEASE.md). The dataset version is |
| registered as [DOI 10.57967/hf/9724](https://doi.org/10.57967/hf/9724). |
|
|
