Datasets:

Krows7
/

test

sample_id string	shape string	background string	has_stripes int64	is_core int64	subset string	split string	caption string
synthetic-00	circle	coral	1	1	full	train	A circle on a coral background with diagonal stripes.
synthetic-01	square	mint	0	1	full	train	A square on a mint background.
synthetic-02	triangle	sky	1	0	full	train	A triangle on a sky background with diagonal stripes.
synthetic-03	circle	sand	0	1	full	train	A circle on a sand background.
synthetic-04	square	coral	1	1	full	train	A square on a coral background with diagonal stripes.
synthetic-05	triangle	mint	0	0	full	train	A triangle on a mint background.
synthetic-06	circle	sky	1	0	full	train	A circle on a sky background with diagonal stripes.
synthetic-07	square	sand	0	0	full	train	A square on a sand background.

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

Downloads last month: 5

Number of rows:

Total file size:

27.2 kB