task_categories:image-to-text size_categories:1K<n<10K format:parquet modality:text library:datasets library:dask library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: matrix_image
    sequence:
      sequence: float64
  - name: matrix_array
    dtype: string
  splits:
  - name: train
    num_bytes: 826657666
    num_examples: 3000
  download_size: 211299036
  dataset_size: 826657666
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- image-to-text
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset Name

This dataset has 3000 image and string representation of 3000 random matrices. the sizes of the matrices are also random, and it ranges from 3x3 to 7x7.
The matrix images are not numpy arrays, so I recommend turning them into arrays while porcessing the data.