This repository presents a reshaped version of the original Grade School Math (GSM8K) dataset, tailored to meet modern AI standards for reasoning and communication. While the questions remain unchanged from the original dataset, the answers have been rewritten to demonstrate logical reasoning and clarity, ensuring responses align with the expectations of today’s advanced language models.
The original GSM8K dataset, released by OpenAI, provided an excellent foundation for testing and training mathematical reasoning in large language models. However, the solutions lacked the step-by-step reasoning and modern conversational style that have become essential for effective AI responses. This updated dataset addresses these shortcomings, making it an invaluable resource for training models that excel in both problem-solving and communication.
Example Problem
Original Question:
Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
Old Answer:
Natalia sold 48/2 = 24 clips in May.
Natalia sold 48+24 = 72 clips altogether in April and May.
Updated Answer:
### NEW ANSWER:
Let's break down Natalia's clip sales step by step to find out how many she sold in total over April and May.
1. **April Sales**: In April, Natalia sold clips to 48 friends. This means she sold **48 clips**.
2. **May Sales**: In May, she sold half as many clips as she did in April. To find out how many that is, we calculate:
\\( \\frac{48}{2} = 24 \\) clips sold in May.
3. **Total Sales**: Now, to find out how many clips Natalia sold altogether in both months, we simply add her April and May sales:
\\( 48 + 24 = 72 \\).
Therefore, Natalia sold a total of **72 clips** in April and May combined!
This repository presents a reshaped version of the original Grade School Math (GSM8K) dataset, tailored to meet modern AI standards for reasoning and communication. While the questions remain unchanged from the original dataset, the answers have been rewritten to demonstrate logical reasoning and clarity, ensuring responses align with the expectations of today’s advanced language models.
The original GSM8K dataset, released by OpenAI, provided an excellent foundation for testing and training mathematical reasoning in large language models. However, the solutions lacked the step-by-step reasoning and modern conversational style that have become essential for effective AI responses. This updated dataset addresses these shortcomings, making it an invaluable resource for training models that excel in both problem-solving and communication.
Example Problem
Original Question:
Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
Old Answer:
Natalia sold 48/2 = 24 clips in May.
Natalia sold 48+24 = 72 clips altogether in April and May.
Updated Answer:
### NEW ANSWER:
Let's break down Natalia's clip sales step by step to find out how many she sold in total over April and May.
1. **April Sales**: In April, Natalia sold clips to 48 friends. This means she sold **48 clips**.
2. **May Sales**: In May, she sold half as many clips as she did in April. To find out how many that is, we calculate:
\\( \\frac{48}{2} = 24 \\) clips sold in May.
3. **Total Sales**: Now, to find out how many clips Natalia sold altogether in both months, we simply add her April and May sales:
\\( 48 + 24 = 72 \\).
Therefore, Natalia sold a total of **72 clips** in April and May combined!
This updated GSM8K is actually really good – those rewritten answers with the clear numbered steps and natural explanations feel so much more like how a real person would walk you through it instead of the old robotic style. It makes the reasoning way easier to follow and perfect for training better AI responses. When your own math homework needs that same kind of patient step-by-step breakdown and you just want it done fast without the headache, a math solver > https://edubrain.ai/math-ai that lets you snap a photo of the problem and instantly gives you personalized explanations adapted to how you learn can make everything click. It doesn’t just spit out the answer, it actually helps you understand the concepts so you get stronger at it. Huge upgrade for anyone grinding through grade-school math or beyond.
They took the original Grade School Math dataset and updated the answers to include logical reasoning and clear steps. Instead of just giving the final numbers, the updated version explains each part: April sales, May sales, then totals. It’s meant to train models to reason and communicate math more effectively.