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Datasets:
kyang73
/
GRaF-sim

Tasks:
Other
Size:
10K<n<100K
ArXiv:
Tags:
wireless
radio-frequency
spectrum
neural-radiance-fields
sionna
arxiv:2502.05708
License:
Dataset card Files
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GRaF-sim
File size: 2,865 Bytes
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---
license: bsd-3-clause
pretty_name: GRaF-sim
viewer: false
tags:
  - wireless
  - radio-frequency
  - spectrum
  - neural-radiance-fields
  - sionna
  - arxiv:2502.05708
task_categories:
  - other
size_categories:
  - 10K<n<100K
---

# GRaF-sim — Simulated RF Spectrum Dataset

Simulated wireless channel spectra for 18 indoor scenes, released with the CVPR 2026 paper
**"Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis"** by
Kang Yang, Yuning Chen, and Wan Du.

📄 **Paper:** [arXiv:2502.05708](https://arxiv.org/abs/2502.05708) &nbsp;·&nbsp;
💻 **Code:** [github.com/kangyang73/GRaF](https://github.com/kangyang73/GRaF) &nbsp;·&nbsp;
🤖 **Models:** [kyang73/GRaF-pretrained](https://huggingface.co/kyang73/GRaF-pretrained)

Used to train and evaluate **GRaF**, a generalizable radio field model.

Each scene is modeled as a box room with ITU-material walls and furniture primitives. For
every transmitter position, [Sionna](https://nvlabs.github.io/sionna/) ray-tracing computes
the channel response at an 8 × 8 receiver array, and conventional beamforming over a
360° × 90° azimuth–elevation grid produces the final spatial spectrum image.

## Scenes

Each category contains six scene variants with increasing furniture/clutter.

| Category | Room              | Room size (m)     | Scenes      |
|----------|-------------------|-------------------|-------------|
| A        | Conference Room   | 8.0 × 6.0 × 3.0   | `D2`–`D7`   |
| B        | Classroom         | 10.0 × 7.0 × 3.0  | `D8`–`D13`  |
| C        | Bedroom           | 5.0 × 4.0 × 2.8   | `D14`–`D19` |

## Per-scene layout

```
D<i>/
├── gateway_info.yml   # room size + receiver (gateway) pose
├── tx_pos.csv         # 5 340 transmitter positions (x, y, z)
└── spectrum/
    ├── 00001.png      # 360 × 90 grayscale spectrum (azimuth × elevation)
    ├── 00002.png
    └── ...            # one image per TX position
```

**Totals:** 18 scenes × 5 340 samples ≈ 96 K spectrum images, ~785 MB.

## Download

```python
from huggingface_hub import snapshot_download
snapshot_download("kyang73/GRaF-sim", repo_type="dataset", local_dir="data")
```

Or via CLI:

```bash
hf download kyang73/GRaF-sim --repo-type dataset --local-dir data
```

## Citation

If you use this dataset, please cite:

```bibtex
@inproceedings{Yang2026_GRaF,
  author    = {Kang Yang and Yuning Chen and Wan Du},
  title     = {Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2026},
}
```

## License

Released under the BSD 3-Clause License. Copyright (c) 2025, Kang Yang, Yuning Chen, and
Wan Du. See the [GRaF repository](https://github.com/kangyang73/GRaF) for full terms.