README.md

---
license: apache-2.0
task_categories:
- reinforcement-learning
- tabular-classification
- tabular-regression
tags:
- math
- linear-algebra
- matrix-calculus
- mathematics
- tabular
- text
- matrix-multiplication
- eigenvalues
- determinants
- inverse-matrix
- numerical-computing
---

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# matrix_operations Sampler Dataset

A Synthetic matrix operations sample dataset for ML training. The webxos/matrix_operations dataset is a collection of structured data designed 
for training and evaluating machine learning models on computational mathematics and linear algebra tasks. It includes various matrix 
pairs and their corresponding operational results,such as addition, multiplication, inversion, and determinant calculations. This 
dataset is intended to help researchers develop robust systems for symbolic reasoning, automated theorem proving, or neural networks 
capable of performing complex numerical computations with high precision.

*This dataset was generated using MATRIXMA by webXOS, download it to create your own datasets from the /generator/ folder of the repo*

## Sample Dataset Details

- **Generated:** 2026-01-05T22:20:06.264Z
- **Total Samples:** 500
- **Splits:** Train (400), Test (100)
- **Matrix Size:** 8×8
- **Operations:** matmul, add
- **Backend:** WEBGL
- **Format:** jsonl


## License

apache-2.0