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LLM Fine-Tuning Data
Licensed Fine-Tuning Data for Domain-Specific LLMs
Opendatabay is the fastest way to legally fine-tune large language models with modality-specific, AI-ready datasets. Instantly access licensed training data for text, image, audio, video, code, synthetic data, and human feedback, no scraping, no negotiations, no legal risk
Why AI Teams Choose Opendatabay
Fine-tuning large language models requires more than raw data.
Opendatabay delivers licensed, AI-ready datasets that remove legal risk, eliminate data preparation, and reduce LLM training workflows from weeks to seconds
How Opendatabay stands out
Opendatabay is an AI training data platform built specifically for LLM fine-tuning. Instead of raw, unfathomable datasets, you get modality-specific, quality-scored data with standardized licensing, instantly downloadable and ready for model training
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AI-Ready Fine-Tuning Data
All datasets are automatically processed into LLM-compatible, AI-ready formats, reducing data preparation time and enabling immediate fine-tuning across text, image, audio, video, and code
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Licensed & Legally Safe
Every dataset comes with standardized, machine-readable licensing. No scraping, no negotiations, and no copyright risk when training or fine-tuning your models
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Modality-Specific Coverage
Access domain-specific datasets for text, image, audio, video, code, synthetic data, and human feedback, purpose-built for LLM and multimodal model training
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Quality Scoring & Validation
Datasets are evaluated using UDQS quality scoring and compatibility testing, ensuring clean, reliable training data that scales beyond manual validation
Why LLM Fine-Tuning or AI Training Fails with Raw & Scraped Data
AI teams lose 40 - 60% of project time sourcing, cleaning, and licensing training data. At the same time datasets grow beyond manual validation and scraping becomes legally risky, fine-tuning LLMs with raw data has become slow, expensive, and unsustainable
How Low-Quality LLM Training Data Hurts Model Performance
LLM datasets are often too large to manually validate, leading to hidden noise, duplicates, and bias. Poor-quality data reduces model accuracy, slows fine-tuning, and increases development costs
Licensing & Legal Risks in AI Training Data
Scraping unlicensed datasets is no longer a viable or legally safe solution. Using such data exposes AI teams to copyright violations, regulatory penalties, and production risks. With the end of the free scraping era, legal uncertainty is a major blocker for production-grade LLMs
Slow Discovery & Manual Dataset Matching
Finding modality-specific datasets on existing marketplaces often takes weeks of searching, evaluation, and negotiation. Developers struggle to locate the right datasets that match their LLM fine-tuning objectives, delaying projects and increasing costs
Why Offer Your Data for AI Training & LLM Fine-Tuning
Your datasets, whether images, videos, audio, or domain-specific collections, are valuable for AI training and LLM fine-tuning. By offering your data on Opendatabay, you can monetize your IP safely, ensure it is licensed and AI-ready, and make it discoverable for developers, enterprise, and AI teams. Our platform handles formatting, quality verification, and metadata, so your data is instantly usable while you retain full ownership and control
Monetizable Intellectual Property
By listing your data on Opendatabay, you can earn revenue while retaining full ownership. All datasets are licensed for AI training, protecting your IP and enabling legal, compliant usage for millions of developers and enterprises building future AI products
Instantly Discoverable on all Major LLM Platforms
Your data product is automatically processed into AI-ready formats, with proper metadata and quality verification. AI teams, businesses, and researchers can instantly discover, understand, and use your datasets for LLM fine-tuning. After listing, each Data Product is automatically exposed to major LLMs like ChatGPT, Perplexity, Claude, Gemini, Mistral, Deepseek, and Grok, increasing visibility and adoption