datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ZeroTwin-UAV-Synthetic_Physics-Informed-Multi-UAV-Fault-Telemetry-Benchmark
🛸 ZeroTwin-UAV-Synthetic
Multi-Agent Physics-Informed Degradation Benchmark for Autonomous UAV Swarms
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P H I L A B • P E N E L O P E I N C . R E S E A R C H D I V I S I O N
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🏛️ Provenance & Institutional Trademarks
This open-source benchmark is… See the full description on the dataset page: https://huggingface.co/datasets/SM-Bello/ZeroTwin-UAV-Synthetic_Physics-Informed-Multi-UAV-Fault-Telemetry-Benchmark.os-rfodg-outdoor-uav-synthetic-dataset-taif-saudi-arabia
UAV Trajectory Simulation Dataset for Terrain-Based Localization
Dataset Overview
This dataset contains simulated UAV flight data generated using ROS2, Gazebo, and PX4 autopilot system. The dataset features a quadcopter performing autonomous flight trajectories over realistic terrain imported from satellite imagery and Digital Elevation Model (DEM) maps of the Taif region in Saudi Arabia.
Dataset Files
The dataset contains:
7 trajectory CSV files:… See the full description on the dataset page: https://huggingface.co/datasets/riotu-lab/os-rfodg-outdoor-uav-synthetic-dataset-taif-saudi-arabia.Llama3_8b-emotion_multiclass-Plutchik
Description
This is a dataset for emotion classification of text sentences.
The dataset is a CSV file with 6,540 sentences. Each row has two columns: the first one has the sentence text, and the second one has its main emotion:
"text";"emotion"
The emotion can be one of Plutchik's eight emotion groups plus a neutral category. The sentence counts for each emotion are:
joy: 611 (9.34%)
sadness: 748 (11.44%)
trust: 735 (11.24%)
disgust: 838 (12.81%)
fear: 579 (8.85%)
anger: 743… See the full description on the dataset page: https://huggingface.co/datasets/uavster/Llama3_8b-emotion_multiclass-Plutchik.uav-usv-trajpangeo-uav