Classifier Training and Analysis

Problem Overview

Given a human-annotated dataset (text or image, e.g., CIFAR) that has been read into a Python environment (typically a Jupyter notebook with starter code), where each prompt/sample has been labeled by multiple annotators (often 3), perform the following tasks: (1) Analyze the dataset using pandas to understand its structure and…

• 5 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
• The rest of the problem statement — full requirements, constraints, and edge cases
• Approach and trade-offs — what passing candidates did, and the mistakes that sink people