Large Language Model (LLM) Noise Level Data | Noise Complaints | CCPA, GDPR Compliant | 160k Data Points | 100% Traceable Consent

Noise Complaint Dataset — AI Training & Acoustic Source Detection Silencio offers the world’s largest noise complaint dataset, consisting of over 160,000 geolocated and categorized noise complaints collected directly through our mobile app. This unique dataset includes not only the location and time of each complaint but also the source of the noise (e.g., traffic, construction, nightlife, neighbors), making it a rare resource for AI training focused on acoustic event classification, noise source identification, and urban sound analysis. Unlike standard sound datasets, which often lack real-world context or human-labeled sources, Silencio’s dataset is built entirely from user-submitted reports, providing authentic, ground-truth labels for training AI models. It is ideal for training models in sound recognition, urban noise prediction, acoustic scene analysis, and noise impact assessment. Combined with Silencio’s Street Noise-Level Dataset, this complaint dataset allows AI practitioners to correlate objective measurements with subjective community-reported noise events, opening up possibilities for multi-modal AI models that link noise intensity with human perception. Data delivery options include: • CSV exports • S3 bucket delivery • (Upcoming) API access All data is fully anonymized, GDPR-compliant, and available as both historical and updated datasets. We are open to early-access partnerships and custom formatting to meet AI research needs.