Evaluation Sets Built

Today I completed the core preparation for the evaluation pipeline: running build_test_set.py to construct three stratified test sets, each representing a distinct quality tier:

• Gold: high-quality trajectories, 200 samples
• Random: randomly sampled, 200 samples (baseline)
• Low-Q: low-quality trajectories, 200 samples

All three sets are exported as .jsonl files with paths logged — consistent structure, ready to feed directly into the perplexity evaluation script.

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Tomorrow’s Plan

• Run perplexity evaluation on all three test sets and compare loss across experimental groups.
• Verify that the scoring ranking aligns with the loss gradient, building the evidence for a final conclusion.