GPT-5.5 Agent Traces for Supervised Fine-Tuning

Armand0e's dataset contains raw agent trace files generated by the TeichAI platform. The dataset includes 88 JSONL files, with assistant responses generated by OpenAI's GPT-5.5 model. It was last updated on May 19, 2026.

Use Cases

• Fine-tuning language models for agentic behavior based on the provided trace interactions.
• Analyzing the structure and patterns of agent responses generated by GPT-5.5.
• Benchmarking or training models that utilize a configured tools schema, as mentioned in the description.
• Studying human-AI interaction patterns from the included personal traces.

Strengths

• Contains 88 JSONL files of agent traces.
• Assistant responses were generated by a specific model (OpenAI's GPT-5.5).
• Includes a configured tools schema snapshot for training readiness.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file size, and sample data are unknown, which may limit suitability assessment.
• The license is unspecified, which could restrict usage.

Provenance

Source

TeichAI platform and personal traces by author armand0e.

Collection Method

Generated using the TeichAI platform.

Time Range

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Freshness

Last updated 2026-05-19 20:57:20; freshness should be verified.

Geography

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