Software Testing for Extended Reality Applications: A Systematic Mapping Study (2) 2

	A	B	C	D	E	F	G	H	I	J	K
1	name	primary study	type	availability	link	content	source	dataset size	training set size	validation set size	test set size
2	Dataset PS11	PS11	training	F	N/A	image	experiments	600	600	N/A	N/A
3	StereoID	PS19	training & evaluation	F	https://sites.google.com/view/stereoid	image	https://store.steampowered.com/	154566	20000	8587	8587
4	Dataset PS21	PS21	training & evaluation	T	N/A	video	https://doi.org/10.1109/CVPR.2010.5539872 https://doi.org/10.1109/ICCV.2013.338 https://doi.org/10.1177/0278364913491297	61	61	N/A	3
5	PredART	PS23	training & evaluation	T	https://sites.google.com/view/predart2022	image	https://unity.com/products/unity-mars	1200	720	N/A	480
6	VOPA	PS27	training & evaluation	F	https://sites.google.com/view/vopa-for-artesting/home	image	https://play.google.com/store/games https://github.com/	3043	~2740	N/A	~300
7	CIC-IDS2017	PS30	training & evaluation	T	https://www.unb.ca/cic/datasets/ids-2017.html	traffic & attacks	https://www.unb.ca/cic/datasets/ids-2017.html	1211327	~848000	~242300	~121130
8	Dataset PS2	PS2	study	F	N/A	app	https://play.google.com/store/games	390	N/A	N/A	N/A
9	Dataset PS6	PS6	study	T	https://sites.google.com/view/webxr-bug-study/	bug	https://github.com/	368	N/A	N/A	N/A
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