Dataset · Hugging Face

wayoctopus/tartanaviation-adsb-19k-clean

Name: tartanaviation-adsb-19k-clean
Creator: wayoctopus
License: mit
Keywords: task_categories:tabular-regression, task_categories:time-series-forecasting, license:mit, size_categories:10K<n<100K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, aviation, adsb, aircraft-tracking

TartanAviation ADS-B Dataset (19.7K Clean Samples) Dataset Description 19,714 high-quality ADS-B trajectory datapoints from aircraft operations, rigorously cleaned and validated. Perfect for machine learning research in aviation, reinforcement learning, and trajectory prediction. Key Features 19,714 clean samples (no missing data, no duplicates) 17 comprehensive features including aircraft ID, timestamp components, altitude, speed, heading… See the full description on the dataset page: https://huggingface.co/datasets/wayoctopus/tartanaviation-adsb-19k-clean.

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Author / organization	wayoctopus
License (as declared)	mit
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	22 October 2026
Last updated at source	22 October 2026

aviationadsbaircraft-trackingtrajectoriesreinforcement-learningtabular-datatime-series

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