If you have labeled data sitting unused, here's what it's worth
From the LabelSets team · May 2026
Most teams that have built ML products also have labeled datasets they no longer actively use. A computer vision model trained two years ago. A fine-tuning dataset for a chatbot that got replaced. A medical annotation project that concluded.
That data isn't worthless. It's an asset — and there's a growing market of teams who will pay for it.
Here's how the market for labeled datasets actually works, and how to think about pricing yours.
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What buyers actually pay for
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Domain specificity — Medical, legal, and finance data commands a 3–5x premium over generic datasets. Scarcity drives price.
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Volume — More isn't always better. 10,000 high-quality diverse samples often outperforms 200,000 noisy ones. Buyers know this.
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Quality score — Datasets with LQS 85+ sell at a significant premium. Buyers have been burned by opaque-quality data too many times.
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License clarity — Clear commercial use rights remove the biggest buyer hesitation. If you can grant commercial rights, your data is worth more.
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What's selling — and at what prices
| Category |
Typical range |
Demand |
| LLM fine-tuning (NLP) |
$49 – $299 |
Very high |
| Computer vision / detection |
$79 – $499 |
High |
| Medical / clinical |
$149 – $999 |
Moderate |
| Financial / fraud detection |
$49 – $249 |
High |
LabelSets takes 15% on every sale. Listing is free and takes about 10 minutes. If your dataset sells once, you've recovered the cost of creating it many times over.
The first step is knowing your quality score. Run a free audit, then list — we'll help you price it based on comparable datasets in the catalog.
Featured Dataset
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Clinical Medical QA Fine-Tuning
8,500 physician-reviewed clinical Q&A pairs across cardiology, oncology, and internal medicine. HIPAA-safe. One of the most requested domain-specific datasets in the catalog.
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