twangodev/tartanaviation-atc-adsb

TartanAviation ATC + ADS-B

Paired ATC audio and ADS-B for Pittsburgh KAGC and KBTP, aligned from CMU TartanAviation. Each row is one ADS-B-triggered audio capture (16 kHz mono) plus the aircraft tracks present during it.

41,823 clips · 16 kHz mono · 67% carry ADS-B. Built with squawk.

Usage

from datasets import load_dataset

ds = load_dataset("twangodev/tartanaviation-atc-adsb", split="train", streaming=True)
ex = next(iter(ds))
ex["audio"]    # {'array': ..., 'sampling_rate': 16000}
ex["tails"]    # callsigns present, e.g. ['EJA660', 'RPA4996']
ex["tracks"]   # per-ping lat/lon/alt/speed/heading/tail in the clip window

Schema

column	type	notes
clip_id	string	{airport}/{date}/{n}
airport	string	kagc / kbtp
date	string	MM-DD-YY
start / end	timestamp	clip window (audio and ADS-B share one clock)
duration_s	float	clip length
n_aircraft / tails	int / list	aircraft in-window (0 / [] when no ADS-B)
tracks	list of struct	every ADS-B ping in-window: t, lat, lon, alt, speed, heading, tail
audio	Audio(16000)	16 kHz mono WAV

Clips are 2–14 min ADS-B-triggered captures, not VAD utterances (~85% is silence).

License

CC-BY-4.0, inherited from CMU AirLab's TartanAviation. Credit CMU AirLab and cite:

@article{patrikar2024tartanaviation,
  title={TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations},
  author={Jay Patrikar and Joao Dantas and Brady Moon and Milad Hamidi and Sourish Ghosh and Nikhil Keetha and Ian Higgins and Atharva Chandak and Takashi Yoneyama and Sebastian Scherer},
  year={2024},
  eprint={2403.03372},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/pdf/2403.03372.pdf}
}