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CRUISEResearchGroup/Massive-STEPS-Sao-Paulo

Massive-STEPS-Sao Paulo Dataset Summary Massive-STEPS is a large-scale dataset of semantic trajectories intended for understanding POI check-ins. The dataset is derived from the Semantic Trails Dataset and Foursquare Open Source Places, and includes check-in data from 15 cities across 10 countries. The dataset is designed to facilitate research in various domains, including trajectory prediction, POI recommendation, and urban modeling. Massive-STEPS… See the full description on the dataset page: https://huggingface.co/datasets/CRUISEResearchGroup/Massive-STEPS-Sao-Paulo.

Author / organizationCRUISEResearchGroup
License (as declared)apache-2.0
Downloads157 (as reported by Hugging Face)
Likes0
Created20 December 2024
Last updated at source26 September 2025
poi-recommendationtrajectory-predictionhuman-mobility
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  • 16 Oct 2026 Description: Massive-STEPS-Sao Paulo Dataset Summary Massive-STEPSis a large-scale dataset of semantic trajectories intended for understanding POI check-ins. The dataset is derived from the Semantic Trails Dataset and Foursquare Open Source Places, and → Massive-STEPS-Sao Paulo Dataset Summary Massive-STEPS is a large-scale dataset of semantic trajectories intended for understanding POI check-ins. The dataset is derived from the Semantic Trails Dataset and Foursquare Open Source Places, and

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.