Datasets:

vnahata
/

CAMEO-emotion-classification

Tasks:

Audio Classification

Modalities:

Formats:

Languages:

Size:

Tags:

Libraries:

License:

Dataset card Data Studio Files Files and versions

xet

Community

Dataset Viewer

Auto-converted to Parquet Duplicate

Subset (5)

ben · 3k rows

Split (2)

train · 1.5k rows

Search is not available for this dataset

audio audioduration (s) 3.63 4.36	label int64 0 5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1

End of preview. Expand in Data Studio

CAMEO multilingual speech emotion classification (MTEB)

Speech emotion recognition across five languages, drawn from the CAMEO collection.

Labels index this list:

anger
fear
happiness
neutral
sadness
surprise

Source: amu-cai/CAMEO at revision 38e9e96, cc-by-nc-sa-4.0. Split by speaker so no speaker appears in both train and test. Only the six emotions common to every included language are kept. Audio is 16 kHz Opus.

Built by scripts/data/cameo_emotion/create_data.py in the MTEB repo.

Downloads last month: 43

audio audioduration (s) 3.63 4.36	label int64 0 5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1

audio audioduration (s) 3.63 4.36	label int64 0 5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1

audio audioduration (s) 3.63 4.36	label int64 0 5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1
	2
	2
	2
	2
	2
	3
	3
	3
	3
	3
	4
	4
	4
	4
	4
	5
	5
	5
	5
	5
	0
	0
	0
	0
	0
	1
	1
	1
	1
	1