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tx_id
int64
row
int64
col
int64
height
int64
0
48
9
20
1
9
53
20
2
40
125
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47
178
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4
10
241
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49
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23
326
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7
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364
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31
410
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9
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509
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47
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11
96
91
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82
166
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65
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51
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96
436
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79
504
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20
129
31
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21
112
71
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22
144
113
20
23
122
187
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24
146
220
20
25
112
278
20
26
122
328
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147
391
20
28
104
454
20
29
136
479
20
30
193
5
20
31
190
101
20
32
198
126
20
33
165
156
20
34
159
242
20
35
178
272
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190
330
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168
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475
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36
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84
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140
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172
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257
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344
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388
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48
245
438
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254
487
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261
17
20
51
257
83
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261
111
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53
305
155
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54
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242
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283
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3
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149
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63
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187
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64
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232
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65
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405
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68
317
451
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329
471
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386
17
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375
56
20
72
362
144
20
73
404
200
20
74
359
222
20
75
395
278
20
76
392
359
20
77
392
374
20
78
389
421
20
79
373
509
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80
451
41
20
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425
55
20
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434
146
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412
205
20
84
432
232
20
85
449
268
20
86
444
348
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87
441
370
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88
459
431
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457
463
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509
9
20
91
465
77
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462
123
20
93
477
187
20
94
491
225
20
95
507
274
20
96
483
354
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97
463
364
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415
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20
End of preview.

FARM Aerial Radio Map (ARM) Dataset

Paper:

Overview

This repository releases the constructed ARM datasets based on ARM-Omni for FARM training, in-domain evaluation (D1-D10), and zero-shot evaluation (P1, F1, and A1). The dataset coverage is summarized below:

Dataset Frequencies (GHz) Max Rx Height (m) Beamwidths Map Grid Size Volume
D1 2.1, 3.3, 5.9 120 30°, 120°, Iso 512 × 512 15000
D2 3.5, 4.9, 5.9 130 30°, 120°, Iso 512 × 512 15000
D3 2.1, 4.9, 5.9 110 30°, 120° 512 × 512 15000
D4 3.3, 3.5, 4.9 110 30°, 120°, Iso 512 × 512 15000
D5 3.3, 4.9, 5.9 120 30°, 120°, Iso 512 × 512 15000
D6 2.1, 3.3, 3.5 130 30°, 120° 512 × 512 15000
D7 2.1, 3.3, 3.5, 5.9 130 30°, Iso 512 × 512 15000
D8 2.1, 3.5, 4.9, 5.9 100 120°, Iso 512 × 512 15000
D9 2.1, 3.3, 3.5, 4.9 120 30°, 120° 512 × 512 15000
D10 2.1, 3.3, 3.5, 4.9, 5.9 130 30°, 120°, Iso 512 × 512 15000
P1 2.1, 3.3, 3.5, 4.9, 5.9 150 30°, 120°, Iso 256 × 256 15000
F1 2.6, 7.1 120 30°, 120°, Iso 512 × 512 15000
A1 2.1, 3.3, 3.5, 4.9, 5.9 120 60° 512 × 512 15000

A fuller ARM-Omni release is planned for a future update.

Repository Layout

Each scene is stored as a compressed archive on the Hub:

<dataset>/scene_<scene_id>.tar.gz

After extraction, the scene contains .npy ARM tensors organized as:

<dataset>/<scene_id>/<frequency>/<antenna_pattern>/tx<ID>_yaw<VALUE>.npy

Example:

D1/7/freq59/iso/tx45_yaw0.npy

Scene IDs are not globally continuous across dataset groups. Users should rely on the extracted folder names as the authoritative scene IDs.

Data Format

Each released raw .npy file stores an ARM volume with shape:

1 × 30 × 512 × 512

The dimensions correspond to one radio-map channel, 30 height layers, and a 512 × 512 spatial grid. During data loading, different input sizes can be obtained by selecting a subset of height layers and applying a spatial crop centered on the transmitter pixel. For example, this procedure is used to obtain the 256 × 256 crop for P1.

Signal Encoding and Scene Metadata

  • The no-signal truncation threshold is -120 dB. In the encoded uint8 representation, this threshold corresponds to pixel value 130.
  • Building occupancy is embedded in the released ARM tensors; in each height-layer radio map, pixels with value 0 correspond to building-occupied regions.
  • The transmitter location metadata is stored in the scene-level CSV file:
<dataset>/<scene_id>/tx_positions_512.csv
## Citation

If you use this dataset, please cite our paper:

```text
S. Gao, J. Liang, Y. Yuan, W. Lu, G. Shen, and L. Yang, "FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking," arXiv preprint arXiv:2604.17362, 2026.

@article{gao2026farm,
  author  = {Gao, Shijian and Liang, Jiahui and Yuan, Yifeng and Lu, Wenlihan and Shen, Guobin and Yang, Liuqing},
  title   = {{FARM}: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking},
  journal = {arXiv preprint arXiv:2604.17362},
  year    = {2026}
}
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