prithivMLmods/LAP2-K-Think-v1.b
收藏Hugging Face2025-11-26 更新2025-12-20 收录
下载链接:
https://hf-mirror.com/datasets/prithivMLmods/LAP2-K-Think-v1.b
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资源简介:
---
license: apache-2.0
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- code-x
- code
- math
- agent
- think
size_categories:
- 100K<n<1M
---

# **LAP2-K-Think-v1.b**
> **LAP2-K-Think-v1.b** is the refined continuation of the LAP2 reasoning series, curated by **prithivMLmods** and hosted on Hugging Face. This version expands the dataset to **~380K entries** and focuses heavily on **coding-based mathematical reasoning**, algorithmic logic, and structured step-wise problem solving. This dataset integrates a macro mixture of reasoning traces, combined with curated mathematical and computational reasoning tasks. Each example pairs a complex prompt with a detailed reasoning-based solution formatted for training advanced code-aware and reasoning-capable LLMs.
## Quick Start
```bash
pip install -U datasets
```
```python
from datasets import load_dataset
dataset = load_dataset("prithivMLmods/LAP2-K-Think-v1.b", split="train")
```
## Dataset Overview
| Attribute | Value |
| -------------------- | ---------------------------------------------------- |
| **Rows** | ~380,190 |
| **Size[partial]** | ~2.29 GB |
| **Format** | Parquet |
| **Language** | English |
| **License** | Apache-2.0 |
| **Focus Areas** | Code reasoning, algorithmic math, logic, computation |
## Structure
* **problem**: A coding, math, or mixed reasoning challenge
* **solution**: Structured and chain-of-thought style reasoning with final answer
---
## Source Inputs
Includes reasoning from:
* **Xen-Arc AI CodeX-2M-Thinking**: [Small traces, depending on the specific problem] Code-x structured programming logic, [XenArcAI/CodeX-2M-Thinking](https://huggingface.co/datasets/XenArcAI/CodeX-2M-Thinking)
* **Math-aligned custom prompts** : [Gargantua-R1-Wee](https://huggingface.co/datasets/prithivMLmods/Gargantua-R1-Wee)
* **Hybrid algorithmic reasoning tasks**: [Gargantua-R1-Wee](https://huggingface.co/datasets/prithivMLmods/Gargantua-R1-Wee)
## Use Cases
* Fine-tuning LLMs for programming reasoning
* Training models to think step-by-step before producing code
* Evaluation of reasoning alignment and computational logic
* Building tutoring or solver AI systems for coding and mathematics
## Maintainer
| Author | Last Updated |
| --------------------------------------------------------- | ------------ |
| **[prithivMLmods](https://huggingface.co/prithivMLmods)** | **Nov 2025** |
提供机构:
prithivMLmods



