GLM-5.1-Thinking Distilled 5K: 5,000 Reasoning Traces for Language Models

WithinUsAI created a dataset of 5,000 unique examples for training language models in step-by-step reasoning. Each example contains a question, a detailed multi-step reasoning trace, and a final answer. The dataset was last updated on 2026-05-25.

Use Cases

• Fine-tuning language models for chain-of-thought reasoning based on the provided reasoning traces.
• Distilling reasoning capabilities into smaller models based on the high-quality multi-step examples.
• Evaluating a model's ability to generate intermediate reasoning steps before a final answer.
• Benchmarking the internal reasoning process of language models against the provided traces.

Strengths

• Contains 5,000 high-quality examples.
• Each example includes a question, detailed reasoning trace, and final response.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

WithinUsAI

Freshness

Last updated 2026-05-25 03:16:17; freshness should be verified.