This tutorial details how to build a stable workflow for analyzing the Fable 5 Traces dataset using Google Colab. It focuses on setting up a robust environment, manually downloading and parsing JSONL files to avoid dependency issues, and inspecting the dataset's structure. The process includes examining repository files, normalizing tool calls, auditing data, detecting potential secrets, and visualizing distributions. Finally, it covers creating safe exports for chat and supervised fine-tuning, implementing a keyword search, and training Naive Bayes models to predict output types and tool usage based on trace context. AI
IMPACT Provides a practical guide for researchers and developers working with agent trace data.
RANK_REASON Tutorial on using a specific dataset and environment.
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