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dialogue_id
int64
0
938
utterance_id
int64
0
23
speaker
stringclasses
236 values
text
stringlengths
1
327
emotion
stringclasses
7 values
labels
int64
0
6
prosody
listlengths
2
1.64k
whisper_encodings
listlengths
5
1.5k
whisper_real_frames
int64
5
1.5k
text_hidden_states
listlengths
3
95
0
0
Chandler
also I was the point person on my company’s transition from the KL-5 to GR-6 system.
neutral
0
[[7.888584613800049,0.0,-1.9509285688400269,3.627397060394287,2.4366915225982666],[7.888584613800049(...TRUNCATED)
[[-0.03318866714835167,-0.9416100382804871,1.480082631111145,-1.14678955078125,-0.5151771903038025,-(...TRUNCATED)
285
[[-0.07784178107976913,-0.048390988260507584,-0.13026553392410278,-0.08812429755926132,-0.0160108003(...TRUNCATED)
0
1
The Interviewer
You must’ve had your hands full.
neutral
0
[[7.888584613800049,0.0,-7.4768595695495605,0.3928091824054718,-2.1253364086151123],[7.6009025573730(...TRUNCATED)
[[0.0013926040846854448,-1.756170630455017,0.7163587808609009,-1.1408989429473877,-1.684473991394043(...TRUNCATED)
75
[[-0.07043340802192688,0.03509148582816124,-0.06092282012104988,-0.14577913284301758,-0.017068522050(...TRUNCATED)
0
2
Chandler
That I did. That I did.
neutral
0
[[7.734433650970459,0.0,-7.94266414642334,-1.2200051546096802,-2.398827314376831],[7.734433650970459(...TRUNCATED)
[[-0.2533007860183716,-2.428744077682495,0.788537859916687,-0.3450278341770172,-1.98055899143219,-1.(...TRUNCATED)
149
[[-0.05223921686410904,-0.18863630294799805,-0.2618620693683624,-0.1959770768880844,-0.2514329552650(...TRUNCATED)
0
3
The Interviewer
So let’s talk a little bit about your duties.
neutral
0
[[7.888584613800049,0.0,-7.631495952606201,0.13692018389701843,-2.833026885986328],[6.34813928604126(...TRUNCATED)
[[-0.5727965235710144,-2.6991355419158936,0.6790253520011902,-1.0976402759552002,-2.0738608837127686(...TRUNCATED)
140
[[0.20739580690860748,0.07039518654346466,-0.09380004554986954,-0.15830832719802856,-0.0241477061063(...TRUNCATED)
0
4
Chandler
My duties? All right.
surprise
6
[[7.600902557373047,0.0,-7.433725357055664,-1.369454026222229,0.4797535538673401],[7.600902557373047(...TRUNCATED)
[[-0.18165841698646545,-1.4690624475479126,0.9690099954605103,-0.056809183210134506,-1.2801495790481(...TRUNCATED)
326
[[0.03413509204983711,-0.006987738888710737,0.09518583863973618,-0.25202977657318115,-0.106575608253(...TRUNCATED)
0
5
The Interviewer
Now you’ll be heading a whole division, so you’ll have a lot of duties.
neutral
0
[[5.249527454376221,0.0,-0.3858851492404938,9.67504596710205,-3.5344791412353516],[5.237692832946777(...TRUNCATED)
[[-1.147218108177185,-0.5459713339805603,2.22503924369812,-0.7203232049942017,-1.8514320850372314,-0(...TRUNCATED)
163
[[0.07709314674139023,0.10343092679977417,0.05903200805187225,-0.15493109822273254,-0.01464238762855(...TRUNCATED)
0
6
Chandler
I see.
neutral
0
[[5.851702690124512,0.0,-5.593525409698486,3.962555408477783,-0.20640116930007935],[5.85170269012451(...TRUNCATED)
[[-0.5193653702735901,-2.692059278488159,0.656191885471344,-0.6143486499786377,-2.2263216972351074,0(...TRUNCATED)
156
[[-0.036286067217588425,0.010591572150588036,0.09418849647045135,-0.2730492651462555,-0.006207999307(...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
[[5.851702690124512,0.0,-5.593525409698486,3.962555408477783,-0.20640116930007935],[5.85170269012451(...TRUNCATED)
[[-0.2786784768104553,-2.8001484870910645,0.7829706072807312,-0.5804975628852844,-2.078205108642578,(...TRUNCATED)
287
[[0.15342716872692108,0.05298587307333946,-0.0077228425070643425,-0.051807474344968796,0.09048544615(...TRUNCATED)
0
8
Chandler
Good to know.
neutral
0
[[7.600902557373047,0.0,-5.18303918838501,2.859039545059204,-1.1487842798233032],[5.147744655609131,(...TRUNCATED)
[[-0.6817383170127869,-2.332253932952881,0.8761258721351624,-1.6807841062545776,-2.4512176513671875,(...TRUNCATED)
49
[[-0.11965523660182953,-0.09680609405040741,0.06701458990573883,-0.18730266392230988,-0.001161295222(...TRUNCATED)
0
9
The Interviewer
We can go into detail
neutral
0
[[7.888584613800049,0.0,-8.586078643798828,0.17953507602214813,-5.728011131286621],[7.88858461380004(...TRUNCATED)
[[-0.4225805699825287,-1.7428703308105469,0.3717617690563202,-1.2737351655960083,-1.3920584917068481(...TRUNCATED)
112
[[-0.0545535571873188,-0.20840176939964294,0.035751305520534515,-0.12941361963748932,0.1075701564550(...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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