GPT-5.5 Chat Traces: 133 Conversations for Supervised Fine-Tuning

133 newline-delimited JSON training examples generated by the TeichAI tool. All assistant responses in these chat traces were produced by the OpenAI GPT-5.5 model. The dataset was created by user 'armand0e' and last updated on Hugging Face in May 2026.

Use Cases

• Supervised fine-tuning of language models based on the provided chat message examples.
• Analyzing the response patterns of the GPT-5.5 model based on the generated assistant replies.
• Creating benchmark datasets for instruction-following or conversational AI evaluation based on the described format.

Strengths

• Contains 133 distinct training examples.
• Assistant responses are consistently generated by a single model (OpenAI GPT-5.5).
• Data is pre-formatted as newline-delimited JSON for direct use in training pipelines.

Limitations

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

Provenance

Source

Generated using the TeichAI tool (teich) from conversations with OpenAI's GPT-5.5 model.

Collection Method

Synthetically generated chat traces.

Freshness

Last updated 2026-05-13 08:40:01; freshness should be verified.