GPT-5.5 Agent: Raw Traces for Supervised Fine-Tuning

88 JSONL files contain raw agent trace data generated by the TeichAI platform. The assistant responses were produced by the OpenAI GPT-5.5 model, and the dataset includes a configured tools schema snapshot. The dataset was uploaded by author nphearum and last updated on May 25, 2026.

Use Cases

• Supervised fine-tuning of language models based on structured agent traces.
• Benchmarking agent reasoning and tool-calling capabilities using the embedded tools schema.
• Analyzing the behavior and response patterns of the GPT-5.5 model in agentic workflows.

Strengths

• Contains 88 distinct JSONL trace files for model training or analysis.
• Includes a complete configured tools schema snapshot, providing context for the agent interactions.
• Assistant responses are attributed to a specific model (OpenAI GPT-5.5), clarifying the data source.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

TeichAI platform and personal traces from author nphearum.

Collection Method

Generated by the TeichAI platform using the OpenAI GPT-5.5 model.

Freshness

Last updated 2026-05-25 17:41:33; freshness should be verified.