miugod/Opus-Qwen-Reasoning-Distilled-V1
收藏Hugging Face2026-03-27 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/miugod/Opus-Qwen-Reasoning-Distilled-V1
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资源简介：
---
dataset_info:
features:
- name: id
dtype: string
- name: difficulty
dtype: string
- name: category
dtype: string
- name: messages
list:
- name: content
dtype: string
- name: reasoning_content
dtype: string
- name: role
dtype: string
- name: metadata
struct:
- name: hash
dtype: string
- name: source
dtype: string
- name: teacher_model
dtype: string
- name: timestamp
dtype: string
splits:
- name: train
num_bytes: 44954249.0
num_examples: 3209
download_size: 19748583
dataset_size: 44954249.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
Opus-Qwen-Reasoning-Mix-V1
Cleaned Datasets:
nohurry/Opus-4.6-Reasoning-3000x-filtered
TeichAI/claude-4.5-opus-high-reasoning-250x
Jackrong/Qwen3.5-reasoning-700x
Difficulty:
Medium: 2,261 (70.4%)
Medium/Hard: 633 (19.7%) — Qwen3.5-27B
Hard: 278 (8.7%)
PhD: 37 (1.2%)
Category:
Math: 2,421 (75.4%)
Complex Reasoning: 250 (7.8%) — Claude-4.5-Opus
Code: 232 (7.2%)
Science: 166 (5.2%)
Instruction Following: 140 (4.4%)
Format: {messages: [{role, content, reasoning_content}]}
提供机构：
miugod
