Sign in to view source links and access this dataset
Description
A dataset of 3300 technical reasoning traces generated by the Kimi K2.6 teacher model. It was designed as an add-on for downstream supervised fine-tuning experiments, focusing on math, graduate-level science, coding, and debugging prompts. The dataset was authored by trjxter and last updated on June 3, 2026.
Use Cases
Supervised fine-tuning of language models based on technical reasoning traces.
Improving model performance on graduate-level science problems based on the described content.
Enhancing code debugging and repair capabilities based on the described prompt style.
Training models on complex mathematical reasoning based on the dataset's stated focus.
Strengths
Contains 3300 reasoning traces generated by a specified teacher model (Kimi K2.6).
Designed for specific technical domains: math, graduate-level science, coding, and debugging.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last updated 2026-06-03 02:55:14; freshness should be verified.
Provenance
Source
huggingface
Collection Method
Generated by the Kimi K2.6 teacher model.
Freshness
Last updated 2026-06-03 02:55:14.
License is unknown; terms of use must be verified.