Datasets:

mstz
/

balloons

color stringclasses 2 values	size stringclasses 2 values	act stringclasses 2 values	age stringclasses 2 values	is_inflated class label 2 classes
YELLOW	SMALL	STRETCH	ADULT	11
YELLOW	SMALL	STRETCH	CHILD	11
YELLOW	SMALL	DIP	ADULT	11
YELLOW	SMALL	DIP	CHILD	00
YELLOW	SMALL	DIP	CHILD	00
YELLOW	LARGE	STRETCH	ADULT	11
YELLOW	LARGE	STRETCH	CHILD	11
YELLOW	LARGE	DIP	ADULT	11
YELLOW	LARGE	DIP	CHILD	00
YELLOW	LARGE	DIP	CHILD	00
PURPLE	SMALL	STRETCH	ADULT	11
PURPLE	SMALL	STRETCH	CHILD	11
PURPLE	SMALL	DIP	ADULT	11
PURPLE	SMALL	DIP	CHILD	00
PURPLE	SMALL	DIP	CHILD	00
PURPLE	LARGE	STRETCH	ADULT	11
PURPLE	LARGE	STRETCH	CHILD	11
PURPLE	LARGE	DIP	ADULT	11
PURPLE	LARGE	DIP	CHILD	00
PURPLE	LARGE	DIP	CHILD	00

YAML Metadata Error: "configs[0]" must be of type object

YAML Metadata Error: "configs[1]" must be of type object

YAML Metadata Error: "configs[2]" must be of type object

YAML Metadata Error: "configs[3]" must be of type object

Balloons

The Balloons dataset from the UCI ML repository. Predict if the given balloon is inflated.

Configuration	Task	Description
adult_or_stretch	Binary classification	Balloons are inflated if age == adult or act == stretch.
adult_and_stretch	Binary classification	Balloons are inflated if age == adult and act == stretch.
yellow_and_small	Binary classification	Balloons are inflated if color == yellow and size == small.
yellow_and_small_or_adult_and_stretch	Binary classification	Balloons are inflated if color == yellow and size == small or age == adult and act == stretch.

from datasets import load_dataset

dataset = load_dataset("mstz/balloons", "adult_or_stretch")["train"]

Feature	Type	Description
`color`	`[string]`	Balloon's color.
`size`	`[string]`	Balloon's size.
`act`	`[string]`	Balloon's state.
`age`	`[string]`	Balloon's age.
`is_inflated`	`[int8]`	The inflation status of the baloon.