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': ...… See the full description on the dataset page: https://huggingface.co/datasets/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 windowSchema
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}
}