The Sarah AI Evaluation Corpus v1.0 (Dataset for "CAG-4S")

This dataset contains the supplementary materials for the paper "CAG-4S: A 4-Pillar, Pure-Context Memory Architecture for Emergent Narrative Identity in LLM Agents." https://doi.org/10.5281/zenodo.17391038 The corpus serves as the primary empirical evidence for the claims made in the paper and includes the following files: interview_intro.jsonl: The complete, unedited, machine-readable transcript of the live evaluation interview demonstrated in the accompanying video. interview_main_18Q.jsonl: The 18-question dialogue. evaluation_questions.md: A human-readable transcript of the final 18 meta-cognitive questions. sarah.mp4: The final, uncut video demonstration. README.md: Contains metadata, licensing information (CC-BY 4.0), and the SHA-256 checksum for the video file. This dataset allows for the full replication and analysis of the evaluation presented in the paper.