task_categories:image-classification size_categories:n<1K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: overall_rating
    dtype: float64
  - name: shape_rating
    dtype: float64
  - name: color_rating
    dtype: float64
  - name: label_rating
    dtype: float64
  splits:
  - name: train
    num_bytes: 5779471.79338843
    num_examples: 96
  - name: test
    num_bytes: 1505070.2066115702
    num_examples: 25
  download_size: 6301679
  dataset_size: 7284542
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- image-classification
size_categories:
- n<1K
---
# Dataset Card for Dataset Name

This dataset holds 121 images of glass bottles for drinking water. The aesthetics were rated by five participants from Germany across different demographics.
