datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NeversNet5G_Vehicular_5G_NR_Dataset
NeversNet5G
NeversNet5G is a city-scale 5G NR vehicular network dataset generated through
SUMO and Simu5G/OMNeT++ co-simulation over the real urban road network of
Nevers, France. The release contains processed per-UE event-level CSV files,
not the raw OMNeT++ .vec/.sca outputs.
Release Contents
data/: 716 per-UE metric CSV files, grouped by scenario part.
configs/: OMNeT++/Simu5G configuration files used for the scenario. The
released omnetpp.ini is trimmed to… See the full description on the dataset page: https://huggingface.co/datasets/Askedrin/NeversNet5G_Vehicular_5G_NR_Dataset.parking_minimums_for_casinos_prelimPreliminary long-form dataset of parking minimums for Casinos.
Parking minimums are defined as the minimum number of parking spaces a business must provide in order to be compliant with local code.
The dataset is for the following U.S. cities:
City of Orlando, Florida (2404443)
City of Stillwater, Oklahoma (2411982)
City of Kemah, Texas (2410175)
City of Nichols Hills, Oklahoma (2411254)
City of Snellville, Georgia (2405480)
City of Graham, Texas (2410628)
City of Merced, California… See the full description on the dataset page: https://huggingface.co/datasets/the-ride-never-ends/parking_minimums_for_casinos_prelim.CATS-58
Dataset Description
CATS-58 is a balanced clinical acronym and term sense disambiguation dataset containing 58 highly ambiguous medical acronyms.
Each acronym is expanded into 2 distinct clinical senses, with 150 context-rich sentences per sense.
The dataset is inspired by the Clinical Abbreviation Sense Inventory (CASI) and was extended through controlled clinical sentence generation,
semantic filtering using clinical embedding models, and manual validation of ambiguous cases.… See the full description on the dataset page: https://huggingface.co/datasets/NevenaD/CATS-58.Telugu_Dataset