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monster-monash/Pedestrian

Part of MONSTER: https://arxiv.org/abs/2502.15122. Pedestrian Category Count Num. Examples 189,621 Num. Channels 1 Length 24 Sampling Freq. hourly Num. Classes 82 License CC BY 4.0 Citations [1] Pedestrian represents hourly pedestrian counts at 82 locations in Melbourne, Australia between 2009 and 2022 [1]. The processed dataset consists of 189,621 (univariate) time series, each of length 24 (i.e., representing 24 hours of data per time series). The data comes… See the full description on the dataset page: https://huggingface.co/datasets/monster-monash/Pedestrian.

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Part of MONSTER: <https://arxiv.org/abs/2502.15122>.

Pedestrian
Category	Count
Num. Examples	189,621
Num. Channels	1
Length	24
Sampling Freq.	hourly
Num. Classes	82
License	CC BY 4.0
Citations	[1]

*Pedestrian* represents hourly pedestrian counts at 82 locations in Melbourne, Australia between 2009 and 2022 [1]. The processed dataset consists of 189,621 (univariate) time series, each of length 24 (i.e., representing 24 hours of data per time series). The data comes from automatic pedestrian counting sensors at different locations. The task is to identify location based on the time series of counts. The dataset has been split into stratified random cross-validation folds.

[1] City of Melbourne. (2022). Pedestrian counting system. <https://data.melbourne.vic.gov.au/explore/dataset/pedestrian-counting-system-monthly-counts-per-hour/information/>. CC BY 4.0.