GLM-5.1-1000000x: One Million AI Reasoning Traces

1,003,589 reasoning traces generated by the GLM-5.1 language model using questions from the KIMI-K2.5-1000000x dataset. Each entry contains a full chain-of-thought reasoning trace followed by a final answer. The dataset was created by author clzoro and last updated on 2026-04-17.

Use Cases

• Training or fine-tuning language models for improved reasoning based on distilled chain-of-thought examples.
• Analyzing the reasoning patterns of a large language model across different domains.
• Benchmarking the quality of generated reasoning traces against other datasets.
• Studying instruction-following behavior in language models.

Strengths

• Contains over 1 million entries, providing a substantial corpus for analysis.
• Includes a breakdown of subsets, with 598,366 entries (~3.04 billion tokens) in a 'General reasoning & instruction-following' domain.
• Provides a clear provenance as distillations from the GLM-5.1 model.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection after download.
• The source questions are from another model-generated dataset (KIMI-K2.5-1000000x), which may introduce specific biases.

Provenance

Source

Distilled by GLM-5.1 from questions in the KIMI-K2.5-1000000x dataset.

Collection Method

Language model generation.

Freshness

Last updated 2026-04-17 05:25:15; freshness should be verified.