The dataset provides long, teacher-produced assistant traces from a large reasoning-capable model (qwen3.8-max-preview), making it useful for experiments in supervised fine-tuning and off-policy distillation that aim to capture chain-of-thought style reasoning. Its mixture is heavily weighted toward math and code tasks and preserves raw model outputs, including visible <think> blocks, but comes with nontrivial provenance and license constraints inherited from upstream sources and Alibaba Cloud Model Studio.
AI Dataset2026
Qwen3.8-Max Distillation 50K
A curated collection of 49,772 teacher-generated chat traces from qwen3.8-max-preview for supervised fine-tuning and off-policy distillation. Preserves visible chain-of-thought blocks, emphasizes math/code/reasoning mixes, and includes provenance and licensing cautions tied to Alibaba Cloud Model Studio.
Introduction
Information
- Websitehuggingface.co
- Organizationsr0b0tlab, Alibaba Cloud, Qwen (Alibaba)
- Published date2026/07/22
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