messages listlengths 3 3 |
|---|
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "Develop Python code to implement a recommendation system using collaborative filtering."
},
{
"role": "assistant",
"content": "<think>The user wants me to implement a recommendation system using collaborative filterin... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What defines consciousness, and can artificial intelligence ever truly possess it?"
},
{
"role": "assistant",
"content": "<think>This is a genuinely deep philosophical question that touches on philosophy of mind, cogn... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "Write Python code to implement a neural network from scratch without libraries."
},
{
"role": "assistant",
"content": "<think>The user wants me to implement a neural network from scratch in Python without using deep l... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What role should diagramming and visualization play in making requirements understandable across disciplines?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful question about technical communication a... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How might requirements engineering benefit from knowledge graphs, semantic web technologies, or ontologies?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful technical question about requirements engi... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What are the risks and opportunities of using generative AI to assist with requirements elicitation, analysis, or documentation?"
},
{
"role": "assistant",
"content": "<think>The user is asking about risks and opportu... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How can we handle requirements from stakeholders who themselves don’t fully understand the problem or solution space?"
},
{
"role": "assistant",
"content": "<think>This is a really thoughtful question about a common c... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What strategies can a requirements engineer use when stakeholders change their minds frequently or inconsistently?"
},
{
"role": "assistant",
"content": "<think>This is a practical question about requirements engineer... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What can we do when the problem itself is unclear, and requirements are being defined before the problem is fully understood?"
},
{
"role": "assistant",
"content": "<think>This is a really interesting question about p... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How might we prioritize requirements in a system where competing interests are equally valid?"
},
{
"role": "assistant",
"content": "<think>This is an interesting question about prioritization in the context of compet... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How might we recover requirements from a failed or poorly documented project?"
},
{
"role": "assistant",
"content": "<think>The user is asking about requirements recovery - a practical software engineering challenge t... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "Is requirements engineering more about filtering noise from signal, or is there a deeper truth to what requirements “really” are?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful philosophical questi... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "Can requirements ever be “complete,” or is completeness an illusion? Why or why not?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful philosophical question about software requirements, systems think... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "Detail the process for finding the difference when 47 is subtracted from 89."
},
{
"role": "assistant",
"content": "<think>The user wants me to explain the process of subtracting 47 from 89, which means calculating 89... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How might we define the boundaries of a system’s requirements when dealing with open, networked, or edge computing environments?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful technical question ab... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What is the relationship between requirements and design, and where do we draw the line?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful question about software engineering and systems design. The r... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "Can we ever have a system without requirements, or are requirements inseparable from the act of building software?"
},
{
"role": "assistant",
"content": "<think>This is a philosophical question about the nature of sof... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How might we audit requirements for accuracy, consistency, and ethical alignment, much like financial or legal audits?"
},
{
"role": "assistant",
"content": "<think>This is a genuinely interesting question about apply... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What would happen if we treated requirements like code—versioning, testing, refactoring, and continuous improvement?"
},
{
"role": "assistant",
"content": "<think>This is a really interesting conceptual question about... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What if requirements were treated as living documents, co-evolving with the system and the environment?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful, open-ended question about software engineerin... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "What would it look like for a requirements engineer to “practice” in the same way a physician or architect does?"
},
{
"role": "assistant",
"content": "<think>This is a really interesting philosophical and professiona... |
[
{
"role": "system",
"content": ""
},
{
"role": "user",
"content": "How might we measure the impact of requirements decisions on long-term system sustainability and maintainability?"
},
{
"role": "assistant",
"content": "<think>This is a thoughtful technical question about software en... |
End of preview. Expand in Data Studio
Dataset Card for claude-4.5-opus-high-reasoning-250x
claude-4.5-opus-high-reasoning-250x 是一個使用 Claude Opus 4.5 生成的英文推理資料集，包含 250 筆高深度推理（high reasoning）的問答對。每筆回答均包含完整的 <think> 思維鏈（chain-of-thought），適用於將 Claude Opus 4.5 的推理能力蒸餾（distill）至開源語言模型。
Dataset Details
Dataset Description
本資料集透過 OpenRouter API 呼叫 Claude Opus 4.5，將推理深度設定為 high，針對多元主題生成包含完整思維鏈的回答。每筆資料為標準 messages 格式（system / user / assistant），其中 assistant 回覆均以 <think> 標籤開頭，展開詳細的推理過程後再給出最終答案。
涵蓋的主題包括：
- 程式開發： 從零實作推薦系統、神經網路等
- 哲學與認知科學： 意識的定義、AI 是否具備意識
- 軟體工程： 需求工程、知識圖譜、生成式 AI 在需求蒐集中的角色
- 問題解決： 模糊需求處理、利害關係人管理、優先級排序
生成成本
| 項目 | 數值 |
|---|---|
| 費用 | $52.3 USD |
| 總 tokens（input + output） | 2.13M |
| 樣本數 | 250 |
- Curated by: Liang Hsun Huang
- Language(s) (NLP): English
- License: MIT
Dataset Sources
- Repository: lianghsun/claude-4.5-opus-high-reasoning-250x
- Model: Claude Opus 4.5
Uses
Direct Use
本資料集主要設計用於：
- 將 Claude Opus 4.5 的推理能力蒸餾至開源語言模型（如 Llama、Mistral、Qwen 等）；
- 研究大型語言模型的思維鏈推理模式與策略；
- 作為 SFT（Supervised Fine-Tuning）之高品質推理示範資料。
Out-of-Scope Use
本資料集不適用於下列用途：
- 用於非推理導向的一般對話微調，因回答均包含冗長的思維鏈，不適合快速回覆場景。
- 用於繁體中文或其他非英語語言之模型訓練，因所有問答均為英文。
- 作為事實查核或知識庫使用，因回答內容由 LLM 生成，可能包含錯誤。
Dataset Structure
{
"messages": [
{"role": "system", "content": ""},
{"role": "user", "content": "Write Python code to implement a neural network from scratch without libraries."},
{"role": "assistant", "content": "<think>The user wants me to implement a neural network from scratch...</think>\n\nHere's a complete implementation..."}
]
}
每筆資料固定包含 3 則 messages：
| 角色 | 說明 |
|---|---|
system |
系統提示（本資料集中均為空字串） |
user |
使用者問題 |
assistant |
Claude Opus 4.5 的回答，以 <think> 思維鏈開頭 |
Dataset Creation
Curation Rationale
大型閉源模型（如 Claude Opus 4.5）具備強大的推理能力，但無法直接部署於本地環境。透過知識蒸餾（knowledge distillation），可將其推理能力遷移至開源模型。本資料集提供 250 筆高品質推理示範，作為蒸餾訓練的種子資料。
Source Data
Data Collection and Processing
部分問題來源自 reedmayhew，其餘由生成方式產出。所有回答均透過 OpenRouter API 呼叫 Claude Opus 4.5，推理深度設定為 high，以確保每筆回答包含完整且深入的思維鏈。
Who are the source data producers?
所有回答由 Anthropic 之 Claude Opus 4.5 模型生成，屬於 synthetic data（合成資料）。
Annotations
Annotation process
本資料集不包含額外標註。
Who are the annotators?
不適用。
Personal and Sensitive Information
本資料集為合成生成之問答對，不涉及個人資訊或敏感資料。
Bias, Risks, and Limitations
- 資料集僅 250 筆，規模較小，作為蒸餾訓練時可能需搭配其他資料集使用。
- 所有回答均來自 Claude Opus 4.5 單一模型，可能繼承該模型之偏差與限制。
- 思維鏈內容為模型自述之推理過程，不保證邏輯完全正確或無遺漏。
- 主題分佈不均勻，以程式開發與軟體工程為主，其他領域覆蓋較少。
Recommendations
建議使用者將本資料集作為蒸餾訓練的補充素材，搭配其他多元主題之推理資料集共同使用，以避免主題偏差。
Citation
@misc{claude-4.5-opus-high-reasoning-250x,
title = {claude-4.5-opus-high-reasoning-250x: A Reasoning Dataset from Claude Opus 4.5},
author = {Liang Hsun Huang},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/lianghsun/claude-4.5-opus-high-reasoning-250x}},
note = {250 high-depth reasoning samples generated via Claude Opus 4.5 for distillation purposes.}
}
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