datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ninapro-db5-s2s-certified
NinaPro DB5 — S2S Physics Certified (v1.7.0)
Physics-certified windows from NinaPro DB5 forearm EMG+IMU dataset.
Each window validated against 8 biomechanical laws using S2S.
Bad training data costs you months. S2S finds it in milliseconds.
What this adds
Column
Description
tier
GOLD / SILVER / BRONZE / REJECTED
score
0–100 physics compliance score
laws_passed
Which of 8 laws passed
verdict
Human-readable quality statement
recommendation
Actionable… See the full description on the dataset page: https://huggingface.co/datasets/Scan2s/ninapro-db5-s2s-certified.CAD-Scania
CAD-Scania
Dataset Summary
CAD-Scania is a single-source continual anomaly detection benchmark scenario for predictive maintenance in the automotive/industrial domain. It is derived from the SCANIA Component X Dataset, a real-world multivariate time-series dataset of anonymized engine-component operational readouts, repair records, and specifications from SCANIA trucks, and converts it into a sequence of concept-grouped tasks.
The dataset contains 51,084 samples… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-Scania.seo-ai-scanner-benchmarks
SEO AI Visibility Scanner Benchmarks
Benchmark dataset of 20 brand visibility scan cases with individual scores for SEO signal, AI visibility, content signal, authority signal, gap, and coverage across 5 AI platforms — Google, ChatGPT, Gemini, Perplexity, and Microsoft Copilot.
Built by GetPR.Buzz.
Dataset Description
This dataset contains benchmark data for the SEO AI Visibility Scanner — a structured scanning framework that evaluates brand visibility across… See the full description on the dataset page: https://huggingface.co/datasets/getpr-buzz/seo-ai-scanner-benchmarks.altpath-proteome-scan
vedatonuryilmaz/altpath-proteome-scan
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('vedatonuryilmaz/altpath-proteome-scan')
