Accelerated Innovation

Evaluation Driven Development (EDD) Seies

Curating Your EDD Data

Workshop
Are your eval results only as good as the dataset behind them?
EDD curation is a foundational capability for GenAI validation, but it breaks down fast when data sourcing, labeling, and versioning are ad hoc.
 
To win, your GenAI solutions need to run on trusted, representative EDD datasets that stay consistent as use cases evolve.
The Challenge
Without a strong approach to EDD data curation, teams struggle to:
 
  • Keep evaluation data aligned to real target outcomes instead of convenient test cases.
  • Maintain consistent test case classification across evaluation types as scope grows.
  • Prevent drift, gaps, and bias that quietly degrade evaluation signal quality.
 
Weak EDD datasets will drive misleading evaluation results, lower solution quality, and slower delivery.
Our Solution
In this hands-on workshop, your team builds a practical EDD data curation workflow using curated notebooks and realistic datasets. Areas of focus include:
 
  • Sourcing Outcome-Aligned Data — Gather cases that directly map to what success must prove.
  • Classifying Test Cases — Build a consistent structure across evaluation types and scenarios.
  • Data Quality & Representativeness — Apply checks to reduce noise, bias, and coverage gaps.
  • Documentation & Review Process — Establish lightweight curation and reviewer standards that scale.
  • Versioning, Capstone & Coaching — Maintain dataset traceability while refining your approach with expert feedback.
Skills You'll Gain
  • Reliable Evaluation Signal — Build datasets that produce stable, decision-ready results.
  • Curation Workflows That Scale — Create repeatable processes multiple contributors can follow.
  • Drift and Bias Detection — Spot and fix representativeness problems before they distort outcomes.
  • Governed Dataset Practices — Document curation choices so results hold up under scrutiny.
  • Version-Control Discipline — Track changes cleanly across iterations and releases.
 

Who Should Attend:

Data EngineersDevelopersTechnical Product ManagersML EngineersEvaluation LeadQA Lead

Solution Essentials

Format

Virtual or in-person

Duration

4 Hours

Skill Level

Basic Python and comfort working with datasets recommended

Tools

Jupyter notebooks plus preconfigured EDD curation templates and examples

Explore our EDD Certification Workshops

Help your teams remove the “black box” from your GenAI solutions. Click below to explore the remaining workshops in the Evaluation Driven Development certification series.

A High-Level Introduction to Evaluation Driven Development (for non-Developers)
An Applied Introduction to Evaluation Driven Development (for Developers)
EDD Deep Dive - From Requirements to Evaluation

Ready to improve your EDD data curation results?