Contains a sanitized Claude Code (Fable 5) JSONL transcript of a session that procedurally built a Boeing 747 in Three.js, including assistant messages, tool calls, and base64 screenshots — useful for studying agent trace, tool use, and vision self‑verification workflows.
Provides per-cell transcriptomes and five-day drug-sensitivity readouts for 1.83M single cells across 52 cancer cell lines and 91 drug conditions, with raw counts plus gene, cell-line, drug, and summary metadata for modeling drug response and context-dependent gene function.
This dataset exposes a compact, real-world example of a multimodal agent execution: a Claude Code (Fable 5) session that iteratively built a procedural Boeing 747 in Three.js using a vision‑enabled self‑verification loop.
Great fit if you study AI agent behavior, tool use, or multimodal self‑verification patterns — for researchers, educators, or engineers prototyping agent debugging workflows. Look elsewhere if you need large-scale labelled datasets, broad agent benchmarks, or raw production logs: this is a single, focused session (small size) and contains redactions/placeholders for private paths and environment details.
Compliments larger agent‑trace collections by providing a clear, executable example of visual inspection integrated into an autonomous generation loop. Use it to prototype replay tools, visualization dashboards, or case studies about agent verification strategies.
