datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Viscous_Cahn_Hilliard_2D_Spatio-Temporal
Dataset Card: Viscous Cahn-Hilliard Optimal Control
Dataset Summary
This dataset contains 2,000 high-fidelity simulations of the Viscous Cahn-Hilliard (vCH) equation under randomized control forcing. It was generated to support research into Sparse Optimal Control, SciML (Scientific Machine Learning), and Phase Field Modeling.
Official Code Repository: Sparse-optimal-control-of-Viscous-Chan-hilliard (GitHub)
Each sample represents the evolution of a two-phase system… See the full description on the dataset page: https://huggingface.co/datasets/Tejas-Anvekar/Viscous_Cahn_Hilliard_2D_Spatio-Temporal.SpatioTemporal-News-Corpus
Spatiotemporal News Dataset
Overview
This dataset contains approximately 1.2 million English-language news headlines and articles sourced from major outlets in the
United States, United Kingdom, Canada, and Australia.
Each entry is annotated with spatial (country of origin) and temporal (date of publication) contexts, designed for training spatiotemporal-aware sentence embeddings,
specifically our Space-Time-MiniLM-v0 model.
The dataset covers the period from January… See the full description on the dataset page: https://huggingface.co/datasets/Artur-B/SpatioTemporal-News-Corpus.africa-synth-malaria-malaria-burden-spatiotemporal-all
Africa Synth Malaria Malaria Burden Spatiotemporal All | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-malaria-malaria-burden-spatiotemporal-all.pencil_beam_spatiotemporal_characterizationSpatiotemporalPredictionHuNan这里对于5个特征分开，并对时间序列进行平滑，确保每10分钟都有一个数据点。
Total removed duplicates: 1926788
Total added smooth data: 6641770
Total final rows: 14093265