Datasets:

CISLAB
/

ladybirdmnist

image_id string	label class label	split string	parameters list	init_pts array 2D	state array 3D
10108415638218713111	3cheetah	train	[0.0011920081451535225,0.05604071170091629,0.5777398347854614,0.2676185667514801,0.19997939467430115(...TRUNCATED)	[[66,25],[42,4],[32,58],[46,25],[40,93],[42,32],[93,63],[35,28],[51,77],[56,56],[48,0],[86,2],[38,59(...TRUNCATED)	[[[2.111149787902832,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
15255802815245660441	6transfasciata	train	[0.0015365488361567259,0.11346810311079025,0.46434077620506287,0.19757786393165588,0.234932079911232(...TRUNCATED)	[[60,62],[43,35],[50,59],[45,49],[11,50],[101,6],[69,98],[36,37],[67,95],[62,69],[70,49],[67,65],[60(...TRUNCATED)	[[[2.351461887359619,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
16393744092305910793	1paucipuncta	train	[0.002778551774099469,0.09814983606338501,0.12072689086198807,0.21786651015281677,0.1954748183488845(...TRUNCATED)	[[32,14],[40,52],[43,59],[46,119],[49,108],[55,36],[49,37],[46,85],[64,32],[41,68],[59,26],[40,92],[(...TRUNCATED)	[[[1.1823923587799072,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)
11232864150098759208	9moko	train	[0.0002927219611592591,0.09560716897249222,1.1325372457504272,0.2475571185350418,0.1340526044368744,(...TRUNCATED)	[[29,38],[0,23],[61,18],[54,61],[30,87],[42,56],[64,77],[33,62],[4,34],[31,96],[39,45],[27,78],[26,4(...TRUNCATED)	[[[2.2432808876037598,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)
6303477696356948128	0axyridis	train	[0.0021614632569253445,0.09319216012954712,0.3638001084327698,0.06334005296230316,0.1485607773065567(...TRUNCATED)	[[27,21],[46,45],[45,49],[45,77],[58,120],[6,26],[100,83],[37,95],[49,54],[79,80],[61,54],[0,34],[81(...TRUNCATED)	[[[3.433436393737793,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
4740286038885891166	9moko	train	[0.0002856259234249592,0.0791744738817215,0.8836367130279541,0.23090489208698273,0.12989923357963562(...TRUNCATED)	[[64,44],[34,26],[51,27],[0,75],[59,33],[36,58],[46,77],[69,91],[82,89],[74,87],[60,26],[75,17],[71,(...TRUNCATED)	[[[2.427393674850464,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
184362224912642873	9moko	train	[0.000246385665377602,0.0815911591053009,0.8152703642845154,0.17023496329784393,0.2496984899044037,9(...TRUNCATED)	[[45,1],[38,44],[31,45],[44,107],[62,67],[48,62],[33,11],[99,57],[30,79],[54,8],[25,22],[0,22],[64,4(...TRUNCATED)	[[[3.287562608718872,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
8079845075962642012	9moko	train	[0.0001837079762481153,0.08190041035413742,1.5556151866912842,0.6179166436195374,0.190151646733284,0(...TRUNCATED)	[[38,59],[86,52],[84,61],[41,24],[45,58],[60,91],[74,94],[43,56],[24,13],[55,80],[47,40],[12,38],[53(...TRUNCATED)	[[[1.0615410804748535,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)
15496072491513885350	3cheetah	train	[0.0006592324352823198,0.06043756753206253,0.2995057702064514,0.14740732312202454,0.1987539976835250(...TRUNCATED)	[[40,27],[46,51],[69,51],[43,87],[58,83],[23,81],[64,78],[71,74],[61,67],[32,57],[76,19],[0,37],[40,(...TRUNCATED)	[[[3.1685540676116943,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)
4141495304126476944	7longifasciata	train	[0.003251441987231374,0.1097659319639206,0.8100321888923645,0.35675278306007385,0.2317153811454773,9(...TRUNCATED)	[[33,4],[50,16],[23,40],[54,50],[52,48],[125,1],[73,45],[79,64],[65,55],[32,40],[51,18],[58,26],[77,(...TRUNCATED)	[[[1.0615410804748535,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)

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LadybirdMNIST

Quickstart

from datasets import load_dataset

ds = load_dataset('cislab/ladybirdmnist', split="train")

Tutorials

Dataset Features

Field Name	Type	Description
`image_id`	`string`	ddd
`class`	`int32`	ddd
`class_name`	`string`	ddd
`morph-28`	`Image`	ddd
`morph-128`	`Image`	ddd
`pattern-28`	`Image`	ddd
`pattern-128`	`Image`	ddd
`parameters`	`List<float64>`	ddd
`init_pts`	`List<float64>`	dd
`state_path`	`string`	ddd

Downloads last month: 198

Size of downloaded dataset files:

13.8 GB

Size of the auto-converted Parquet files:

13.8 GB

Number of rows:

70,000