The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for CREMA-D (Crowd-sourced Emotional Multimodal Actors Dataset)
Dataset Summary
CREMA-D is a data set of 7,442 original clips from 91 actors. These clips were from 48 male and 43 female actors between the ages of 20 and 74 coming from a variety of races and ethnicities (African America, Asian, Caucasian, Hispanic, and Unspecified).
Actors spoke from a selection of 12 sentences. The sentences were presented using one of six different emotions (Anger, Disgust, Fear, Happy, Neutral and Sad) and four different emotion levels (Low, Medium, High and Unspecified).
Participants rated the emotion and emotion levels based on the combined audiovisual presentation, the video alone, and the audio alone. Due to the large number of ratings needed, this effort was crowd-sourced and a total of 2443 participants each rated 90 unique clips, 30 audio, 30 visual, and 30 audio-visual. 95% of the clips have more than 7 ratings.
Languages
English
Dataset Structure
Data Instances
{
'path': '.../.cache/huggingface/datasets/downloads/extracted/.../data/AudioWAV/1001_DFA_ANG_XX.wav',
'audio': {
'path': '.../.cache/huggingface/datasets/downloads/extracted/.../data/AudioWAV/1001_DFA_ANG_XX.wav',
'array': array([
-1.35336370e-06,
-1.84488497e-04,
-2.73496640e-04,
1.40174336e-04,
8.33026352e-05,
0.00000000e+00
]),
'sampling_rate': 16000
},
'actor_id': '1001',
'sentence': "Don't forget a jacket",
'emotion_intensity': 'Unspecified',
'label': 0
}
Additional Information
Citation Information
@article{cao2014crema,
title={CREMA-D: Crowd-sourced Emotional Multimodal Actors Dataset},
author={Cao, H. and Cooper, D. G. and Keutmann, M. K. and Gur, R. C. and Nenkova, A. and Verma, R.},
journal={IEEE transactions on affective computing},
volume={5},
number={4},
pages={377--390},
year={2014},
doi={10.1109/TAFFC.2014.2336244},
url={https://doi.org/10.1109/TAFFC.2014.2336244}
}
- Downloads last month
- 56