datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
privacy-preserving-real-world-human-motion-sample
Privacy-Preserving Real-World Human Motion Sample
A market-validation sample of anonymous 2D skeleton/pose observations derived from a real-world indoor CCTV stream.
Why this sample exists
We are validating demand for continuously collected, privacy-oriented real-world human-motion data before expanding to multi-camera releases.
Current public sample
750 public observations
derived pose/skeleton data
anonymous track identifiers
no raw RGB video
no… See the full description on the dataset page: https://huggingface.co/datasets/Ragab-Adel/privacy-preserving-real-world-human-motion-sample.Privacy-Preserving-Anti-Harassment-Spam-Free-Communication-for-Map-Based-Business-DiscoveryPrivacy-Preserving Anti-Harassment and Spam-Free Communication for Google and Apple Map-Based Business Discovery and AI-Native Telecommunication Using Query-Scoped Communication Handles
Overview
This repository presents a technical architecture for privacy-preserving communication between users and businesses in map-based discovery, local search, marketplaces, service-discovery systems, booking platforms, business directories, AI-assistant workflows, and related digital ecosystems.
The central… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/Privacy-Preserving-Anti-Harassment-Spam-Free-Communication-for-Map-Based-Business-Discovery.camus-15-privacy-preserving-search
We integrate DuckDuckGo search into a local LLM — measured 1.3s query latency, 89% factual accuracy.
Privacy-Preserving Web Search Integration for Local LLMs
The Problem
RAG systems require either paid search APIs or self-hosted indexing. DuckDuckGo provides a free, privacy-respecting alternative with no API key.
What We Built
Integration via the ddgs library. Search results are fetched, formatted as context blocks with [N] citations, and appended… See the full description on the dataset page: https://huggingface.co/datasets/Anticloud/camus-15-privacy-preserving-search.PrivacyPreservingPersonalizationcamus-15-privacy-preserving-search
We integrate DuckDuckGo search into a local LLM — measured 1.3s query latency, 89% factual accuracy.
Privacy-Preserving Web Search Integration for Local LLMs
The Problem
RAG systems require either paid search APIs or self-hosted indexing. DuckDuckGo provides a free, privacy-respecting alternative with no API key.
What We Built
Integration via the ddgs library. Search results are fetched, formatted as context blocks with [N] citations, and appended… See the full description on the dataset page: https://huggingface.co/datasets/kleinnner/camus-15-privacy-preserving-search.PrivacyPreservingComputationQueriesJSONtennis