README.md

metadata

dataset_info:
  features:
    - name: Unique_ID
      dtype: string
    - name: shape_0_row_0
      dtype: string
    - name: color_0_row_0
      dtype: string
    - name: shape_1_row_0
      dtype: string
    - name: color_1_row_0
      dtype: string
    - name: shape_2_row_0
      dtype: string
    - name: color_2_row_0
      dtype: string
    - name: shape_3_row_0
      dtype: string
    - name: color_3_row_0
      dtype: string
    - name: shape_0_row_1
      dtype: string
    - name: color_0_row_1
      dtype: string
    - name: shape_1_row_1
      dtype: string
    - name: color_1_row_1
      dtype: string
    - name: shape_2_row_1
      dtype: string
    - name: color_2_row_1
      dtype: string
    - name: shape_3_row_1
      dtype: string
    - name: color_3_row_1
      dtype: string
    - name: shape_0_row_2
      dtype: string
    - name: color_0_row_2
      dtype: string
    - name: shape_1_row_2
      dtype: string
    - name: color_1_row_2
      dtype: string
    - name: shape_2_row_2
      dtype: string
    - name: color_2_row_2
      dtype: string
    - name: shape_3_row_2
      dtype: string
    - name: color_3_row_2
      dtype: string
    - name: shape_0_row_3
      dtype: string
    - name: color_0_row_3
      dtype: string
    - name: shape_1_row_3
      dtype: string
    - name: color_1_row_3
      dtype: string
    - name: shape_2_row_3
      dtype: string
    - name: color_2_row_3
      dtype: string
    - name: shape_3_row_3
      dtype: string
    - name: color_3_row_3
      dtype: string
    - name: image
      dtype: string
  splits:
    - name: train
      num_bytes: 336856
      num_examples: 1000
  download_size: 39616
  dataset_size: 336856
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0

from datasets import load_dataset from IPython.display import display from PIL import Image

dataset = load_dataset("gaodrew/gemstone_eval-4by4-256by256px-4shapes-8colors-1k", split='train')

#shapes = ["circle", "triangle", "square", "star"] #colors = ["red", "orange", "yellow", "green", "blue", "purple", "pink", "black"]

print(dataset)

Display the first few images

for i in range(10): image_path = dataset[i]['image'] print(f"Image {i+1}:") display(Image.open(image_path))