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Description
GPT-5.5 Thinking Max Distill 25K is a 25,000-example synthetic dataset created by ansulev for distilling advanced reasoning capabilities into language models. The dataset is designed to emulate deep, o1-style chain-of-thought reasoning, extended internal reasoning, and self-verification. It was last updated on Hugging Face on May 5, 2026.
Use Cases
Fine-tuning language models for extended internal reasoning based on the described 'Thinking' mode.
Training models to perform self-verification of reasoning steps as mentioned in the description.
Distilling 'god-level recursive' self-improvement capabilities into smaller models.
Benchmarking or improving a model's performance on tasks requiring test-time compute scaling.
Strengths
Contains 25,000 examples for training.
Explicitly designed to target advanced reasoning patterns like chain-of-thought and self-verification.
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
ansulev on Hugging Face
Collection Method
Synthetically generated, likely to distill frontier model capabilities.
Freshness
Last updated 2026-05-05 01:17:06; freshness should be verified.
License is unknown; terms of use must be verified before application.