datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
siddha
SIDDHA
Smart Inertial Device Data from Human Activities
SIDDHA is a curated dataset derived from smartphone and smartwatch inertial measurement units (IMUs).It contains uniformly sampled accelerometer and gyroscope data at 20 Hz, for 51 subjects performing 18 activities across two devices:
Phone IMU data: accelerometer + gyroscope (x, y, z axes)
Watch IMU data: accelerometer + gyroscope (x, y, z axes)
All samples are timestamped, aligned, and stored in multiple formats:… See the full description on the dataset page: https://huggingface.co/datasets/neuromorphic-polito/siddha.optical-neuromorphic-eikonal-benchmarks
Optical Neuromorphic Eikonal Solver - Benchmark Datasets
Overview
Benchmark datasets for evaluating the Optical Neuromorphic Eikonal Solver, a GPU-accelerated pathfinding algorithm achieving 30-300× speedup over CPU Dijkstra.
🎯 Key Results
134.9× average speedup vs CPU Dijkstra
0.64% mean error (sub-1% accuracy)
1.025× path length (near-optimal paths)
2-4ms per query on 512×512 grids
📊 Dataset Content
5 synthetic pathfinding test cases covering… See the full description on the dataset page: https://huggingface.co/datasets/Agnuxo/optical-neuromorphic-eikonal-benchmarks.neuromorphic_edge_computing_telemetryahsanneural_neuromorphic-computing-logs
Neuromorphic Computing Logs
Simulated spiking neural network activity logs for neuromorphic ML research
Dataset Info
Source: Kaggle
Original Size: 1.27 MB
Kaggle Downloads: 20
Files: 1
Files
synthetic_neuromorphic_logs.csv
Mirrored from Kaggle
neuromorphic_hardware_power_benchmarks