| --- |
| license: cc-by-4.0 |
| pretty_name: RxGS-data |
| viewer: false |
| tags: |
| - wireless |
| - radio-frequency |
| - spectrum |
| - gaussian-splatting |
| - sionna |
| - arxiv:2605.24290 |
| task_categories: |
| - other |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # RxGS-data — Multi-Receiver Spatial Spectrum Dataset |
|
|
| Simulated dataset released with the NeurIPS 2026 paper |
| **"RxGS: Receiver-Generalizable 3D Gaussian Splatting for Radio-Frequency Data Synthesis"** by |
| Kang Yang and Mani Srivastava. |
|
|
| 📄 **Paper:** [arXiv:2605.24290](https://arxiv.org/abs/2605.24290) · |
| 💻 **Code:** [github.com/nesl/RxGS](https://github.com/nesl/RxGS) · |
| 🤖 **Models:** [kyang73/RxGS-pretrained](https://huggingface.co/kyang73/RxGS-pretrained) |
|
|
| It pairs 5,089 transmitter (TX) positions with 21 receivers (RX) in one scene, for training and |
| evaluating RF data synthesis at any transmitter and any receiver. |
|
|
| ## Contents |
|
|
| `spectrum_multirx.tar` holds 106,869 spatial spectra (5,089 TX × 21 RX), simulated with |
| [Sionna RT](https://nvlabs.github.io/sionna/). |
|
|
| The scene is a cluttered 8 m × 6 m × 3 m conference room with ITU-material walls and |
| furniture, at 2.4 GHz. For each TX–RX pair, Sionna ray tracing (up to 5 bounces) computes the |
| channel at an 8 × 8 receiver array, and conventional beamforming over a 1° azimuth–elevation grid |
| gives a peak-normalized 90 × 360 grayscale spectrum image. Receivers are at random positions at |
| z = 2 m. Files: `spectrum/<tx>_<rx>.png`, `tx_pos.csv`, `rx_positions.yml`. The code splits the TX |
| positions 80/20 at random (seed 8371): 4,071 train and 1,018 test. |
|
|
| The paper's other two datasets are not hosted here: BLE RSSI comes from |
| [NeRF²](https://github.com/XPengZhao/NeRF2), and WiFi CSI is built from the |
| [KU Leuven Ultra-Dense Indoor MaMIMO CSI Dataset](https://ieee-dataport.org/open-access/ultra-dense-indoor-mamimo-csi-dataset) |
| with the preprocessing script in the code repository. |
|
|
| ## Download |
|
|
| From the root of the code repository: |
|
|
| ```bash |
| hf download kyang73/RxGS-data spectrum_multirx.tar --repo-type dataset --local-dir data |
| tar -xf data/spectrum_multirx.tar -C data && rm data/spectrum_multirx.tar |
| ``` |
|
|
| This gives `data/spectrum_multirx/`. The images ship as one archive because the folder holds more |
| files than the Hub allows per directory. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{yang2026rxgs, |
| title = {RxGS: Receiver-Generalizable 3D Gaussian Splatting for Radio-Frequency Data Synthesis}, |
| author = {Yang, Kang and Srivastava, Mani}, |
| booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, |
| year = {2026} |
| } |
| ``` |
|
|
| ## License |
|
|
| [Creative Commons Attribution 4.0 (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). Please cite the paper |
| if you use the dataset. |
|
|
