Dataset Viewer
Auto-converted to Parquet Duplicate
label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.0003232246672268957, -0.27821052074432373, 0.19989857077598572, -0.08766882121562958, 1.1287469863891602, 0.5622360110282898, 0.1702256202697754, 1.2831424474716187, 1.1124224662780762, -0.18494296073913574, -1.232503056526184, ...
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.02270958386361599, -0.27390825748443604, 0.2721615731716156, 0.01252055075019598, 0.9645081758499146, 0.4714927673339844, 0.15509024262428284, 1.4820773601531982, 0.9624428749084473, -0.19487915933132172, -0.8300969004631042, ...
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.003505689324811101, -0.24280264973640442, 0.06755202263593674, -0.03267472982406616, 1.001935362815857, 0.543459415435791, 0.042077116668224335, 1.2287322282791138, 0.8811482191085815, -0.07830175757408142, -1.1395288705825806, ...
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ 0.028876440599560738, -0.22943735122680664, 0.23706096410751343, -0.08904503285884857, 0.8160442113876343, 0.5230540037155151, 0.1075364276766777, 1.3752564191818237, 0.8458976745605469, -0.02659788727760315, -0.926087498664856, ...
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.14081552624702454, -0.24112190306186676, 0.21110939979553223, -0.022273659706115723, 0.8061984181404114, 0.3946402966976166, 0.048252642154693604, 1.4110597372055054, 0.872686505317688, 0.009382253512740135, -0.6857582926750183, ...
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.08335386216640472, -0.10928351432085037, 0.26188409328460693, -0.09313321858644485, 0.8740272521972656, 0.5022909641265869, 0.1996334046125412, 1.2002922296524048, 0.8903438448905945, -0.02012781985104084, -1.2553889751434326, ...
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.16748356819152832, -0.17784908413887024, 0.2292175590991974, -0.10798987746238708, 0.8901321291923523, 0.41996270418167114, 0.06666151434183121, 1.2732187509536743, 0.9330294728279114, -0.07922729104757309, -1.135545015335083, ...
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.09358524531126022, -0.1839197427034378, 0.2686092257499695, -0.116048164665699, 0.9922469258308411, 0.44802621006965637, 0.043752219527959824, 1.2080477476119995, 1.147661805152893, -0.13308636844158173, -1.190131425857544, -...
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11596842855215073, -0.17922914028167725, 0.1709330528974533, -0.12093424797058105, 1.1889210939407349, 0.6257137656211853, 0.1524079293012619, 1.4274479150772095, 0.9871954917907715, -0.06578505784273148, -1.2900944948196411, ...
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.07490478456020355, -0.3583473563194275, 0.15610741078853607, -0.0037143442314118147, 0.9952476620674133, 0.3310825526714325, 0.06011452525854111, 1.4157516956329346, 0.9901471138000488, -0.19501318037509918, -0.5937878489494324, ...
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.21277758479118347, -0.27969038486480713, 0.24941697716712952, -0.0190056711435318, 0.7944415211677551, 0.4392126798629761, 0.05914366617798805, 1.4174189567565918, 0.8265039324760437, 0.010040044784545898, -0.8411463499069214, ...
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
7