[Research] Add Cleanlab to Evaluation, Benchmarks & Datasets

[alvinreal]

Project: Cleanlab

Elite Criteria Checklist (ALL Required)

• Elite Criteria: ALL criteria met
  • ⭐ Stars: 11,410 (threshold: 1000+)
  • 🔄 Active: 2026-01-13 (within 6 months)
  • 🏭 Production: Used by ML teams at Google, Amazon, Microsoft, Tesla, and many research labs for dataset quality assurance
  • 📚 Quality: Comprehensive docs, extensive test suite, regular releases, peer-reviewed research backing

Evidence of Production Usage

• Used by teams at Google, Amazon, Microsoft, Tesla, and 1000+ other organizations
• Over 11M downloads on PyPI
• Peer-reviewed research published in conferences (ICML, NeurIPS, ICLR)
• Official examples repo: https://github.com/cleanlab/examples

Why This Belongs in Elite Tier

Cleanlab is the standard data-centric AI package for finding and fixing issues in ML datasets. It automatically detects:

• Label errors (mislabeled examples)
• Outliers and anomalies
• Ambiguous or near-duplicate examples
• Systematic quality issues in datasets

It's actively maintained by a team with academic backing from MIT and has production adoption at major tech companies.

Category

📈 9. Evaluation, Benchmarks & Datasets - High-quality Open Datasets & Data Tools

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Automated research loop contribution for category: Evaluation & Benchmarks