cash-app-inc/air-traffic-2019-rlr

Air Traffic 2019 for Recent Link Regression Summary Name: air-traffic-2019-rlr Description: This dataset involves a transportation network domestic airports in US during 2019. Airports are represented as vertices and flights as edges. Each edge is associated with a timestamp (flight date) and a feature vector derived from weather conditions at the departure and arrival airports. Arrival delay normalized by flight duration serves as the edge target, reflecting the… See the full description on the dataset page: https://huggingface.co/datasets/cash-app-inc/air-traffic-2019-rlr.

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