---
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) &nbsp;·&nbsp;
💻 **Code:** [github.com/nesl/RxGS](https://github.com/nesl/RxGS) &nbsp;·&nbsp;
🤖 **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.