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Proprietary dataset of eCommerce listings from verified sellers, including metadata such as title, brand, description, pricing, and availability. Ideal for retail analytics, pricing models, and AI-powered product intelligence.A collection of Amazon product listings including metadata such as title, brand, description, pricing, availability, reviews, and more.

Large-scale dataset of verified eCommerce ratings and customer reviews provided by online sellers. Enables sentiment analysis, product benchmarking, and brand perception modeling for AI and market research.Amazon Best Sellers Ratings and Reviews is a large-scale commercial dataset designed to give organizations deep visibility into what products people buy, how they review them, and how trends evolve in the consumer marketplace. It spans 1.5 million top-performing products and includes more than 100 million customer reviews.

Multilingual dataset featuring short scripted recordings from native speakers across France, Spain, Portugal, Germany, and Poland. Built for speech recognition, voice synthesis, and multilingual AI model training.

Dataset of European speech recordings transcribed and validated by professional linguists. Optimized for ASR fine-tuning, accent detection, and multilingual voice model development across multiple European languages.

Collection of over 1,000 hours of videos created by DataHive’s distributed contributors. Includes metadata, engagement metrics, and verified sentiment labels. Fully owned and IP-cleared for AI research and analysis.

An extensive dataset of original photos and visual content created by DataHive’s distributed workforce. Includes metadata, contextual tags, and categories. Fully rights-owned and ready for computer vision and AI training.

A curated entertainment dataset featuring movie reviews and metadata from 2000 to 2024, created and verified by DataHive’s distributed contributors. Fully rights-owned and cleared for AI and analytics use.