AI Evaluation Dataset Hygiene Lab with Apoorva Sharma

AppyGuru’s AI Evaluation Dataset Hygiene Lab helps ML evaluation and data teams improve dataset quality with contamination checklists, labeling SOP forms, hygiene notes, workbooks, and an engineering brief deck. Educational templates—not legal advice or compliance certification.

This $24 USD digital pack is a practical working lab with SAMPLE teaching data. It includes: 01_AI_Evaluation_Dataset_Hygiene_Lab_Guide.pdf (modules, exercises, quizzes, and 90-day plan); 02_Eval_Contamination_Checklist.docx (review checklist with SAMPLE fields, version history, and RACI); 03_Eval_Labeling_SOP_Forms.docx (labeling SOP forms); 04_Eval_Lab_Notes.docx (operating notes and anti-patterns); 05_Eval_Dataset_Workbook.xlsx (instructions, sample rows, registers, and dashboard); and 06_Eval_Hygiene_Eng_Brief_Deck.pptx (leadership/engineering briefing with speaker notes).

Use the PDF first to align owners, then adapt the Word workpapers, workbook, and deck. Replace every SAMPLE marker, name, date, system ID, status, contact, rating, and outcome before real use. Never store real personal data, biometric samples, secrets, key material, exploit PoCs, reporter identities, or confidential data in marketplace files. These are learning aids and starting templates, not legal advice, certified compliance, security authorization, regulatory clearance, or a guarantee of any result. Adapt with qualified counsel, privacy partners, security architects, and risk owners.

Recommended workflow: run a cross-functional review, record dataset lineage and evidence pointers, test contamination and labeling assumptions, assign owners and dates, and revisit after model, data, product, or user-population changes. Educational only—practical AppyGuru AI governance education.