metadata
dataset_info:
features:
- name: formula
dtype: string
- name: result
dtype: int64
splits:
- name: train
num_bytes: 31352169
num_examples: 1000000
download_size: 22114377
dataset_size: 31352169
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
tags:
- MATH
pretty_name: MATH 1st Grade
size_categories:
- 1M<n<10M
Dataset Card for "MATH_1GRADE"
1st Grade Math Problems Dataset
This dataset, available on Hugging Face, offers a unique collection of math problems tailored for first-grade students. The problems have been synthetically generated using Python scripts and are designed to challenge and enhance the mathematical skills of young learners in an engaging and accessible way. This README provides an overview of the dataset, including its structure, contents, and how to use it for educational purposes or machine learning tasks.
Dataset Description
- Domain Education/Mathematics
- Grade Level 1st Grade
- Contents The dataset consists of simple arithmetic problems suitable for first graders, involving basic operations such as addition, subtraction, and understanding of negative numbers.
- Data Format CSV/JSON
Data Structure
The dataset is structured as follows:
formula: A string representing the math problem. It includes numbers and operations (addition, subtraction) formatted as text. For example, "140 + 515 - -441 - -34 + 155".result: The answer to the math problem, represented as a floating-point number for operations resulting in non-integer values, and an integer for whole numbers.
Example Entry
{
"formula": "940 + 515 - -441 - -34 + 155",
"result": 2085
}