introvoyz041/Turing-Reason-CoT

---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- code
- math
- CoT
- synthetic
- biology
- medical
size_categories:
- 1M<n<10M
---


# **Turing-Reason-CoT**

> **Turing-Reason-CoT** is a high-quality, compact chain-of-thought reasoning dataset curated for tasks in mathematics, science, and coding. While the dataset spans diverse domains, it is primarily driven by mathematical reasoning, reflecting a major share of math-focused prompts and long-form logical solutions.

## Quick Start with Hugging Face Datasets🤗

```py
pip install -U datasets
```

```py
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Turing-Reason-CoT", split="train")
```

## Overview

* **Total Samples**: \~ 4,993,463
* **Split**: `train` only
* **Languages**: English
* **Format**: Apache Arrow (auto-converted to Parquet)
* **License**: Apache-2.0
* **Tags**: `math`, `code`, `science`, `reasoning`, `longcot`

## Highlights

* Structured to promote **long-form, step-by-step reasoning**, ideal for training and evaluating chain-of-thought (CoT) capable models.
* Reasoning traces include natural, human-like explanations for both simple and complex problems.
* Fine-tuned across math word problems, logic-based questions, and technical prompts from STEM domains.

## Dataset Structure

Each entry in the dataset includes:

* **`problem`** (string): A math, science, or code problem.
* **`solution`** (string): A detailed step-by-step solution crafted in a long-form reasoning style.

The reasoning structure in solutions helps models understand logical flow, intermediate steps, and layered deductions—making this dataset suitable for advanced LLMs requiring interpretable outputs.

## Source & Derivation

**Turing-Reason-CoT** is a derivative collection synthesized and optimized from:

* A custom internal modular dataset tailored for logical and numeric reasoning tasks.
* Chain-of-thought style responses generated with QwQ 32B-based models, carefully filtered and structured for quality.
* Math chain-of-thoughts from PrimeIntellect/NuminaMath-QwQ-CoT-5M.

This dataset was created with a focus on enhancing CoT capabilities in large-scale models working on math, science, and code.

## License

Apache License 2.0