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  ---
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  tags:
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- - Tabular-Regression
 
 
 
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  - Math
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  - Arithmatic
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- - math
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- - arithmatic
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  pretty_name: SimpleMath
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  license: mit
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  size_categories:
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  - 10M<n<100M
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  ---
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- #This is a simple math db, it will contain a db full of simple math
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- #Note that this is a data base where id recommend train test splitting
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- #This is because models might over fit since its x (operator) y = (answer)
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- #ie the model might remeber/memorize 1+1 and not be very helpful
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- #Data set contains a total of ~96,000,000 lines
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- #16,000,000 per file
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- #6 files
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- #format
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  12 + 7 = 19
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  -5 * 3 = -15
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  4 / 0 = undefined
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- #Ideal Use Cases
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- #-Simple math reasoning model pretraining
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- #-Testing arithmetic performance in LLMs
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- #-Baseline numeric datasets for toy regressors
 
 
 
 
 
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  ---
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  tags:
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+ - tabular-regression
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+ - math
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+ - arithmetic
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+ - simple-math
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  - Math
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  - Arithmatic
 
 
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  pretty_name: SimpleMath
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  license: mit
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  size_categories:
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  - 10M<n<100M
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  ---
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+
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+ # 🧮 Simple Math DB
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+
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+ This is a simple math dataset containing millions of basic arithmetic expressions.
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+ Each file represents a different operation great for pretraining or arithmetic reasoning tasks.
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+
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+ ---
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+
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+ ## ⚠️ Training Notes
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+ Models may **overfit easily**, since the pattern is always `x (operator) y = (answer)`.
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+ 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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+ ---
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+
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+ ## 📊 Dataset Info
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+ - Total lines: ~96,000,000
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+ - 6 files (`Addition`, `Subtraction`, `Multiplication`, `Division`, `Exponentiation`, `Modulus`)
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+ - ~16,000,000 lines per file
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+
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+ ---
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+
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+ ## 🧾 Format Example
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  12 + 7 = 19
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  -5 * 3 = -15
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  4 / 0 = undefined
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+ ---
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+
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+ ## 💡 Ideal Use Cases
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+ - Simple math reasoning model pretraining
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+ - Testing arithmetic ability in LLMs
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+ - Baseline datasets for numeric regressors
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+
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+ #description made by ChatGPT, since i dont know MarkDown