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Accelerate the frontier of AI development with enterprise-grade, deeply curated datasets engineered to enhance pre-training, alignment, and real-world performance.

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InfoBayAI 's collections 9

Dual Channel Global Customer-Agent Interaction Datasets
Sample Datasets of dual-channel call center audio with separate agent and customer channels for ASR, diarization, and conversational AI training.
STEM & Non-STEM Q&A Datasets for LLM Training
Sample datasets from a 6.5M+ enterprise-grade Q&A corpus across STEM and Non-STEM domains, built for LLM training, instruction tuning, and evaluation.
Healthcare AI Datasets for Clinical & LLM Training
Sample dataset from an enterprise-grade medical corpus built for clinical AI, diagnosis support, and healthcare LLM training.
Podcast Speech & Conversational Audio Datasets
Sample from a podcast audio dataset, designed for ASR, speech recognition, and conversational AI training using diverse, real-world spoken content.
Academic Textbook Corpora for LLM Training
Sample of a 2.2B+ word textbook corpus across 32K+ books, 5K+ subjects, and 14 languages for LLM training and multilingual knowledge modeling.
Healthcare AI Datasets for Clinical & LLM Training
Sample dataset from an enterprise-grade medical corpus built for clinical AI, diagnosis support, and healthcare LLM training.
Dual Channel Global Customer-Agent Interaction Datasets
Sample Datasets of dual-channel call center audio with separate agent and customer channels for ASR, diarization, and conversational AI training.
Podcast Speech & Conversational Audio Datasets
Sample from a podcast audio dataset, designed for ASR, speech recognition, and conversational AI training using diverse, real-world spoken content.
Academic Textbook Corpora for LLM Training
Sample of a 2.2B+ word textbook corpus across 32K+ books, 5K+ subjects, and 14 languages for LLM training and multilingual knowledge modeling.
STEM & Non-STEM Q&A Datasets for LLM Training
Sample datasets from a 6.5M+ enterprise-grade Q&A corpus across STEM and Non-STEM domains, built for LLM training, instruction tuning, and evaluation.