Verify Research Integrity Instantly
An interactive web-based utility to audit machine learning datasets, verify reproducibility metadata, detect cross-dataset leakage, and generate standard compliant Data and Model Cards. Built specifically to secure open-source scientific research workflows.
🛡️
ZERO-SERVER PRIVACY GUARANTEE: All parsing and checking occurs entirely within your local browser sandbox. No dataset files, hashes, or records are ever transmitted or uploaded.
1. Dataset Auditing
READYUpload a training or test dataset to audit missing cells, count duplicates, inspect headers, and generate a compliance card.
Drop CSV dataset here or click to browse
Accepts .csv tabular formats under 50MB
2. Leakage Auditor (Optional)
COMPANIONUpload a second dataset (e.g. evaluation/test split) to perform cross-dataset sample overlap and leakage analysis.
Drop evaluation CSV here or click to browse
Accepts test split to detect leakage
Audit Report & Manifest
Generated local execution summary and validation outputs.
Dataset Records
0
Duplicates Detected
0
Missing Data Cells
0
Cross-Split Leakage
N/A
Validation Details
- SHA256 File Signature N/A
- Data Imbalance Status CLEAN
- Feature Column Count 0