Datasets:
license: apache-2.0
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- reasoning
- chain-of-thought
- cot
- math
- logic
- chatml
- pinkpixel
size_categories:
- 10k<n<100k
🧠 Reasoning Mix 100k ✨
A high-quality, balanced reasoning dataset consisting of 99,999 samples extracted from three reasoning datasets. This dataset is specifically formatted for models to utilize a /think block for step-by-step reasoning.
📊 Dataset Summary
The Reasoning Mix 100k is a curated collection of reasoning tasks, primarily focused on mathematics, logic, and general problem-solving. It combines the strengths of three high-performing datasets into a unified format optimized for Chain-of-Thought (CoT) training.
| Source | Samples | Format |
|---|---|---|
| GLM-5.1-Reasoning-1M | 33,333 | General/Math Reasoning |
| OpenMathReasoning | 33,333 | Mathematical Chain-of-Thought |
| OpenThoughts-114k | 33,333 | Comprehensive Reasoning |
| Total | 99,999 | ChatML (Reasoning Optimized) |
🛠️ Formatting
The dataset uses the ChatML format with a specialized system prompt and assistant response structure.
📝 System Prompt
"You are a highly capable AI assistant. For every response, you must first show your step-by-step reasoning process within a /think block, followed by the final answer."
🤖 Assistant Responses
Every response is wrapped in a /think block structure:
/think
[Step-by-step reasoning process...]
/think
[Final answer or solution]
📂 Dataset Structure
Each sample in the reasoning_mix_100k.jsonl file follows this structure:
{
"messages": [
{
"role": "system",
"content": "You are a highly capable AI assistant..."
},
{
"role": "user",
"content": "Evaluate the integral..."
},
{
"role": "assistant",
"content": "/think\n[Reasoning...]\n/think\n\n[Final Answer]"
}
]
}
🚀 Usage
You can load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("pinkpixel/reasoning-mix-100k")
print(dataset["train"][0])
📜 License
This dataset is released under the Apache License 2.0.
Made with ❤️ by Pink Pixel ✨