| --- |
| tags: |
| - tabular-regression |
| - math |
| - arithmetic |
| - simple-math |
| - Math |
| - Arithmatic |
| pretty_name: SimpleMath |
| license: mit |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
| # 🧮 Simple Math DB |
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| This is a simple math dataset containing millions of basic arithmetic expressions. |
| Each file represents a different operation — great for pretraining or arithmetic reasoning tasks. |
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| --- |
|
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| ## ⚠️ Training Notes |
| Models may **overfit easily**, since the pattern is always `x (operator) y = (answer)`. |
| It’s strongly recommended to **train/test split** the data rather than train on the whole thing. |
|
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| --- |
|
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| ## 📊 Dataset Info |
| - Total lines: ~96,000,000 |
| - 6 files (`Addition`, `Subtraction`, `Multiplication`, `Division`, `Exponentiation`, `Modulus`) |
| - ~16,000,000 lines per file |
|
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| --- |
|
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| ## 🧾 Format Example |
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| 12 + 7 = 19 |
| -5 * 3 = -15 |
| 4 / 0 = undefined |
|
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| --- |
|
|
| ## 💡 Ideal Use Cases |
| - Simple math reasoning model pretraining |
| - Testing arithmetic ability in LLMs |
| - Baseline datasets for numeric regressors |
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| #description made by ChatGPT, since i dont know MarkDown |
