Datasets:

Krows7
/

test

license: cc0-1.0
task_categories:
  - image-classification
tags:
  - image
  - synthetic
  - imagefolder
size_categories:
  - n<1K
configs:
  - config_name: full
    default: true
    metadata_filenames:
      - full_train.csv
      - full_val.csv
      - full_test.csv
    data_files:
      - split: train
        path:
          - images/*.webp
          - full_train.csv
      - split: validation
        path:
          - images/*.webp
          - full_val.csv
      - split: test
        path:
          - images/*.webp
          - full_test.csv
  - config_name: core
    metadata_filenames:
      - core_train.csv
      - core_val.csv
      - core_test.csv
    data_files:
      - split: train
        path:
          - images/*.webp
          - core_train.csv
      - split: validation
        path:
          - images/*.webp
          - core_val.csv
      - split: test
        path:
          - images/*.webp
          - core_test.csv

Tiny overlapping ImageFolder demo

A tiny synthetic repository for testing Hugging Face Dataset Viewer.

12 lossless WebP images, each exactly 128×128.
full: 8 train, 2 validation, 2 test.
core: 4 train, 1 validation, 1 test.
core is a subset of full.
Images exist once in images/.
manifest.csv is the canonical manifest.
splits/ contains lightweight source indices.
Root full_*.csv and core_*.csv are materialized metadata files used by ImageFolder.

Expected Viewer

The Viewer should show:

subsets: full, core
splits: train, validation, test
an image column with thumbnails
metadata such as shape, background, and caption

Load

from datasets import load_dataset

full = load_dataset("YOUR_USERNAME/YOUR_DATASET", "full")
core = load_dataset("YOUR_USERNAME/YOUR_DATASET", "core")

Upload

Run from this directory:

pip install -U huggingface_hub
hf auth login
hf upload YOUR_USERNAME/YOUR_DATASET . . --repo-type=dataset