Free tool: score any dataset in 60 seconds
From the LabelSets team · May 2026
We've opened up our dataset quality audit tool to anyone — no account required, no payment, no catch.
Upload a sample of any dataset (CSV, JSON, JSONL, ZIP — up to 20 MB) and get a full LQS breakdown in about 60 seconds. Here's exactly what it checks.
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What the audit catches
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Null and missing value rates — exact percentages per column, not just a binary flag
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Duplicate rows — exact and near-duplicate detection
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PII exposure — scans for names, emails, phone numbers, SSNs, medical identifiers
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Label structure — detects label columns, checks class balance, flags severe imbalances
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Format validity — schema correctness, encoding issues, parseable structure
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Volume assessment — sample size relative to common training thresholds for your data type
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The report comes back as a 0–100 LQS score plus a dimension-by-dimension breakdown with specific recommendations. If your data has a problem, the audit tells you exactly which rows to investigate.
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Example output: "Completeness: 94/100. 340 rows missing the label field (6.2%). Deduplication: 88/100. 127 exact duplicate rows detected. PII: 71/100. 3 columns contain what appears to be email addresses — review before distribution."
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We built this primarily for sellers who want to understand their score before listing. But it's equally useful if you're evaluating a dataset you already own — or just want to audit your internal training data before a model run.
No account. No credit card. Upload, wait 60 seconds, get your score.
Featured Dataset
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Legal Document Analysis Fine-Tuning
12,000 labeled legal documents across contract clauses, case citations, and regulatory filings. Curated by a team of paralegals. Ideal for legal AI fine-tuning and document understanding tasks.
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