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dialogue_id
int64
0
738
utterance_id
int64
0
23
speaker
stringclasses
194 values
text
stringlengths
1
327
emotion
stringclasses
7 values
labels
int64
0
6
text_hidden_states
listlengths
3
95
emotion2vec_encodings
listlengths
2
1.15k
emotion2vec_real_frames
int64
2
1.15k
opensmile_25d
listlengths
2
2.29k
0
0
Chandler
also I was the point person on my company’s transition from the KL-5 to GR-6 system.
neutral
0
[[-0.07784178107976913,-0.048390988260507584,-0.13026553392410278,-0.08812429755926132,-0.0160108003(...TRUNCATED)
[[-0.02097315713763237,-0.27649369835853577,-0.27914345264434814,0.26969537138938904,0.2030881047248(...TRUNCATED)
283
[[1.0530774593353271,-10.79555892944336,16.79059410095215,-0.03692835569381714,-0.017017787322402,0.(...TRUNCATED)
0
1
The Interviewer
You must’ve had your hands full.
neutral
0
[[-0.07043340802192688,0.03509148582816124,-0.06092282012104988,-0.14577913284301758,-0.017068522050(...TRUNCATED)
[[-0.09011060744524002,-0.1397390067577362,-0.2410658299922943,0.19070665538311005,0.162749230861663(...TRUNCATED)
73
[[0.206784188747406,-4.521155834197998,12.787175178527832,0.0004381301405373961,0.002314992947503924(...TRUNCATED)
0
2
Chandler
That I did. That I did.
neutral
0
[[-0.05223921686410904,-0.18863630294799805,-0.2618620693683624,-0.1959770768880844,-0.2514329552650(...TRUNCATED)
[[-0.11349725723266602,-0.11529988795518875,-0.256725549697876,0.20650942623615265,0.153314903378486(...TRUNCATED)
146
[[0.14974470436573029,-6.288468837738037,13.574860572814941,-0.002882465021684766,0.0154414949938654(...TRUNCATED)
0
3
The Interviewer
So let’s talk a little bit about your duties.
neutral
0
[[0.20739580690860748,0.07039518654346466,-0.09380004554986954,-0.15830832719802856,-0.0241477061063(...TRUNCATED)
[[-0.04777636379003525,-0.2750145494937897,-0.24453461170196533,0.28235742449760437,0.19065712392330(...TRUNCATED)
138
[[0.17947371304035187,-4.173067569732666,9.935315132141113,0.028898904100060463,0.005188103765249252(...TRUNCATED)
0
4
Chandler
My duties? All right.
surprise
6
[[0.03413509204983711,-0.006987738888710737,0.09518583863973618,-0.25202977657318115,-0.106575608253(...TRUNCATED)
[[-0.08818065375089645,-0.08852764964103699,-0.25348207354545593,0.228926882147789,0.190202638506889(...TRUNCATED)
324
[[0.19830965995788574,-0.19077414274215698,4.0474677085876465,0.011845658533275127,0.007386066019535(...TRUNCATED)
0
5
The Interviewer
Now you’ll be heading a whole division, so you’ll have a lot of duties.
neutral
0
[[0.07709314674139023,0.10343092679977417,0.05903200805187225,-0.15493109822273254,-0.01464238762855(...TRUNCATED)
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160
[[1.04176664352417,-17.501827239990234,35.0015869140625,0.059339944273233414,-0.028495347127318382,0(...TRUNCATED)
0
6
Chandler
I see.
neutral
0
[[-0.036286067217588425,0.010591572150588036,0.09418849647045135,-0.2730492651462555,-0.006207999307(...TRUNCATED)
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154
[[0.4126463830471039,-0.04684370756149292,7.855355739593506,0.03812118247151375,0.005877459887415171(...TRUNCATED)
0
7
The Interviewer
But there’ll be perhaps 30 people under you so you can dump a certain amount on them.
neutral
0
[[0.15342716872692108,0.05298587307333946,-0.0077228425070643425,-0.051807474344968796,0.09048544615(...TRUNCATED)
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285
[[0.4126463830471039,-0.04684370756149292,7.855355739593506,0.03812118247151375,0.005877459887415171(...TRUNCATED)
0
8
Chandler
Good to know.
neutral
0
[[-0.11965523660182953,-0.09680609405040741,0.06701458990573883,-0.18730266392230988,-0.001161295222(...TRUNCATED)
[[-0.12356077879667282,-0.06446222215890884,-0.29099056124687195,0.1670341044664383,0.11884410679340(...TRUNCATED)
47
[[0.35590529441833496,-2.657719135284424,11.888396263122559,0.011960898526012897,-0.0018638884648680(...TRUNCATED)
0
9
The Interviewer
We can go into detail
neutral
0
[[-0.0545535571873188,-0.20840176939964294,0.035751305520534515,-0.12941361963748932,0.1075701564550(...TRUNCATED)
[[-0.12975725531578064,-0.12319926917552948,-0.23081041872501373,0.1849236935377121,0.16625717282295(...TRUNCATED)
110
[[0.107413649559021,-6.8389105796813965,15.243203163146973,0.02047503925859928,0.007194571662694216,(...TRUNCATED)
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MELD Processed Multi-Modal Emotion Recognition Dataset

Processed dataset containing Prosody, Whisper acoustic encodings, DistilBERT text hidden states, and Ekman emotion labels.

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