SimpleMath

# 🧮 SimpleMath 100K

**SimpleMath 100K** is a high-quality synthetic dataset of 100,000 basic arithmetic problems — no noise, no tricks, just clean and accurate math.

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## ✅ Purpose

This was made for **small AI models** — not to struggle with complex math, but to get **simple math right** every time.

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## 📦 Contents

- **75,000 numeric problems**, evenly split:
- 18,750 addition (`456 + 789 =`)
- 18,750 subtraction (`900 - 345 =`)
- 18,750 multiplication (`12 x 15 =`)
- 18,750 division (`144 / 12 =`)
- **25,000 word problems** (6,250 per operation)
- Example: `Liam bought 3 packs of cards with 12 cards each. How many cards did he buy in total?`

All answers are integers and verified to be correct.

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## 🧾 Format

CSV file with two columns:

| problem | answer |
|---------|--------|
| `345 + 120 =` | `465` |
| `Mia had 60 candies and gave 20 away. How many are left?` | `40` |

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## 🧠 Ideal For

- Training lightweight or tiny models
- Math skill warm-ups before moving to complex reasoning
- Keeping things simple, accurate, and fast

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## 🪪 License

MIT License — free to use, share, and modify. Credit not required, but always appreciated.

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Made to keep your models confident with core arithmetic. No nonsense. Just numbers.

# 🧮 SimpleMath 100K

**SimpleMath 100K** 是一款高质量合成数据集，包含100,000道基础算术题目——无冗余干扰、无刁钻陷阱，仅包含干净准确的数学题。

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## ✅ 数据集用途

本数据集专为**小型AI模型**打造，并非用于攻克复杂算术任务，而是旨在让模型每次都能准确完成**基础算术运算**。

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## 📦 数据集内容

- **75,000道数值型题目**，四类运算分布完全均匀：
- 18,750道加法题（格式示例：`456 + 789 =`）
- 18,750道减法题（格式示例：`900 - 345 =`）
- 18,750道乘法题（格式示例：`12 × 15 =`）
- 18,750道除法题（格式示例：`144 / 12 =`）
- **25,000道文字应用题**，每类运算各6,250道
- 示例：`Liam购买了3包卡牌，每包内含12张卡牌。请问他总共购买了多少张卡牌？`

所有答案均为整数，且经过校验确保准确无误。

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## 🧾 数据集格式

采用CSV文件格式，包含两列：

| 题目（problem） | 答案（answer） |
|---------|--------|
| `345 + 120 =` | `465` |
| `Mia原有60颗糖果，送出20颗后还剩多少颗？` | `40` |

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## 🧠 适用场景

- 训练轻量级或微型AI模型
- 在开展复杂推理任务前，用于模型的算术技能热身
- 实现简洁、准确且高效的算术任务训练

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## 🪪 开源许可

采用MIT开源许可——可自由使用、分享与修改。无需强制标注原作者，但标注原作者将不胜感激。

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本数据集旨在让你的模型在核心算术运算上保持自信。无冗余内容，仅聚焦数字本身。

搜集汇总

背景与挑战

背景概述

SimpleMath 100K是一个包含10万道基础算术题的高质量合成数据集，包含7.5万数值题和2.5万文字题，涵盖加减乘除四种运算，采用CSV格式存储，专为训练轻量级AI模型掌握基础算术能力而设计。