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Alex Adrionleft a comment
I want to share what we've been building and get honest feedback from people who know this problem well. The problem: sourcing labeled training data is still surprisingly broken. Quality is opaque — you get a description and maybe a sample, but no standardized signal for whether the labels are actually consistent or the class distribution is sane. Licensing is unclear — most community datasets...
LabelSets.aiBuy & sell labeled ML datasets. Every one quality-scored.
LabelSets is a marketplace for labeled ML training data. Every dataset gets an automated LQS quality score (0–100) across 5 dimensions: completeness, uniqueness, label quality, format validity, and size. Buyers get instant download with a commercial license — no vendor calls, no NDAs. Sellers keep 85% of every sale, the highest payout in the market. Free dataset quality audit tool at labelsets.ai/quality-audit — no account needed. 30+ datasets live across CV, NLP, medical, financial, and audio.
LabelSets.aiBuy & sell labeled ML datasets. Every one quality-scored.