Audit dataset shortcuts in exoplanet transit classification with reproducible metadata and raw-photometry baselines.
Open-source NLP dataset auditing toolkit for duplicate detection, data leakage analysis, privacy checks, and text quality assessment.
A zero-intervention dataset fairness & AI bias audit platform. Automatically detects demographic disparities, explains results in plain English, balances data with sample reweighting, and exports audit-ready PDF reports.
Evidence-aware visual causality and physical-action verification system for Meta Global AI Developer Hackathon 2026.
Privacy Act 2020 compliance auditor for ML datasets — scans CSV / Parquet / HuggingFace datasets and flags New Zealand-specific PII (IRD, NHI, driver licence, phone, address, te reo names) using a hybrid regex + NER + LLM verification pipeline.
Open-source visual dataset auditing with multimodal embeddings, duplicate detection, anomaly detection, clustering and text search
Official artifact for “COHE: Auditing Non-Transitivity in Sample Difficulty Proxies for Vision Models” — NeurIPS 2026 E&D
Five-agent dataset shortcut auditing with candidate-bound interventions, paired validation, and evidence provenance.
Blind attribution of the principal behind a covertly poisoned training corpus, against 47 candidates. Secret Loyalties hackathon, Jul 2026; corrected Sep 2026.
Diagnostics that flag construct mismatch in multimodal health ML datasets before publication. Companion to the JMIR paper.
To associate your repository with the dataset-auditing topic, visit your repo's landing page and select "manage topics."