audio audioduration (s) 0.78 34.1 | major_emotion stringclasses 9
values | transcription stringlengths 2 555 | prompt stringclasses 60
values | category stringclasses 1
value | label stringclasses 9
values | transcript stringlengths 1 544 | input_ids listlengths 7 13 |
|---|---|---|---|---|---|---|---|
frustrated | The kids- | What feeling is conveyed in this audio? | emotion_detection | Frustrated | the kids- | [
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excited | okay. | What emotional state is reflected in this speech? | emotion_detection | Excited | okay. | [
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] | |
fear | I don't Okay. Okay, we can do this. We can do this. It's okay. We'll make it work. | Characterize the emotional quality of this speech. | emotion_detection | Fear | i don't okay. Okay, we can do this. We can do this. It's okay. We'll make it work. | [
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angry | No, it isn't. | What emotion can you hear in the speaker's voice? | emotion_detection | Angry | no, it isn't. | [
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frustrated | All right, All right mom. Listen! | What emotional undertone is present in this speech? | emotion_detection | Frustrated | all right, all right mom. Listen! | [
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excited | I got into college. | Describe the emotional quality present in this voice recording. | emotion_detection | Excited | i got into college. | [
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neutral | Yeah. Let me just call security. | What is the emotional subtext in this speech? | emotion_detection | Neutral | yeah. Let me just call security. | [
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angry | yeah. | What's the emotional atmosphere conveyed by this speech? | emotion_detection | Angry | yeah. | [
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frustrated | I've been a good son for too long, a good sucker. I'm through with it. | How would you classify the emotional tone of this recording? | emotion_detection | Frustrated | i've been a good son for too long, a good sucker. I'm through with it. | [
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frustrated | Why me, above all? | Interpret the emotional signals in this speech. | emotion_detection | Frustrated | why me, above all? | [
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fear | How long do we have? When do you leave? | Parse the emotional content of this audio recording. | emotion_detection | Fear | how long do we have? When do you leave? | [
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neutral | You knew there was nothing in that. | What is your read on the speaker's emotional state? | emotion_detection | Neutral | you knew there was nothing in that. | [
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neutral | -- it's a biohazard. so- um | Identify the emotional state of the speaker. | emotion_detection | Neutral | -- it's a biohazard. So- um | [
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frustrated | Calm yourself. | What feeling is conveyed in this audio? | emotion_detection | Frustrated | calm yourself. | [
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] | |
neutral | Okay. Okay, I'll call some people. | Determine the emotion in the speaker's voice. | emotion_detection | Neutral | okay. Okay, i'll call some people. | [
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angry | What's going on here, Joe? | What emotional state is reflected in this speech? | emotion_detection | Angry | what's going on here, joe? | [
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] | |
sad | I just got some bad news. | What is the speaker's emotional state? | emotion_detection | Sad | i just got some bad news. | [
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] | |
neutral | Right. Well, I don't know what to tell you. Um- What I can offer you is a fifty dollar voucher on your next flight. | What emotion can you hear in the speaker's voice? | emotion_detection | Neutral | right. Well, i don't know what to tell you. Um- what i can offer you is a fifty dollar voucher on your next flight. | [
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angry | You don't want to think like that. | What is the emotional subtext in this speech? | emotion_detection | Angry | you don't want to think like that. | [
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] | |
frustrated | I mean we've gone through all of this. I've been to five people already who-- | What emotion would you attribute to this speech? | emotion_detection | Frustrated | i mean we've gone through all of this. I've been to five people already who-- | [
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frustrated | I don't know. I don't know who told you. It wasn't me. | What is the prevailing emotion in this voice recording? | emotion_detection | Frustrated | i don't know. I don't know who told you. It wasn't me. | [
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sad | I'm sorry. I thought so. "sigh" | What emotional state is manifested in this audio? | emotion_detection | Sad | i'm sorry. I thought so. "sigh" | [
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] | |
neutral | Uh, it it's like a bunch of different letter and numbers and stuff. | Discern the emotional quality of this speech recording. | emotion_detection | Neutral | uh, it it's like a bunch of different letter and numbers and stuff. | [
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happy | Oh thanks, you're too nice | What does the speaker's emotional delivery suggest? | emotion_detection | Happy | oh thanks, you're too nice | [
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] | |
happy | Oh, my God. I can't even tell you how much of a relief that is. I literally call and talk to five different people. Like last week it went off and I spent an hour and a half on the phone with different people. And I've been doing that like every, every other week for months now. | Can you pinpoint the emotion conveyed in this recording? | emotion_detection | Happy | oh, my god. I can't even tell you how much of a relief that is. I literally call and talk to five different people. Like last week it went off and i spent an hour and a half on the phone with different people. And i've been doing that like every, every other week for months now. | [
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] | |
angry | But you have a business here. What the hell is this? | Detect the emotional sentiment in this audio clip. | emotion_detection | Angry | but you have a business here. What the hell is this? | [
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] | |
excited | Oh, okay, yeah. | What feeling is conveyed in this audio? | emotion_detection | Excited | oh, okay, yeah. | [
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] | |
frustrated | Yeah, I can see that. | What mood or emotion does the speaker express? | emotion_detection | Frustrated | yeah, i can see that. | [
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] | |
excited | No, no that is quit laughable. The cutting little mystery all done with mirrors. | Analyze the emotional tone of this speech. | emotion_detection | Excited | no, no that is quit laughable. The cutting little mystery all done with mirrors. | [
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excited | Perfect! Oh, my God. Are you staying, are you going to live on campus? | What emotion can you hear in the speaker's voice? | emotion_detection | Excited | perfect! Oh, my god. Are you staying, are you going to live on campus? | [
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] | |
happy | Oh, ridiculous. utterly ridiculous | Identify the speaker's emotional expression. | emotion_detection | Happy | oh, ridiculous. Utterly ridiculous | [
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] | |
excited | Look there, what's that? Is it? Is that a--Ah, it's a seaweed isn't it? | What feeling or emotion does this audio convey? | emotion_detection | Excited | look there, what's that? Is it? Is that a--ah, it's a seaweed isn't it? | [
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] | |
angry | I'll get out. I'll go get married and live someplace else. I don't know, maybe New York. | What is the speaker's emotional disposition in this recording? | emotion_detection | Angry | i'll get out. I'll go get married and live someplace else. I don't know, maybe new york. | [
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] | |
excited | So guess what. | Evaluate the emotional component of this speech. | emotion_detection | Excited | so guess what. | [
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] | |
frustrated | I'm gonna ask her to marry me. | What emotional state does the speaker appear to be in? | emotion_detection | Frustrated | i'm gonna ask her to marry me. | [
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] | |
excited | Wait a minute. I've got it. | What emotional cues can you detect in this audio? | emotion_detection | Excited | wait a minute. I've got it. | [
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] | |
neutral | Well, of course not because you've got your backpack with you the whole time. Now, if you--you said this was a travel bag. Why weren't you carrying it on if it was so important? | What feeling does the speaker's voice communicate? | emotion_detection | Neutral | well, of course not because you've got your backpack with you the whole time. Now, if you--you said this was a travel bag. Why weren't you carrying it on if it was so important? | [
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frustrated | Because they made me check it. It's too heavy. | What can you tell about the speaker's emotions from this audio? | emotion_detection | Frustrated | because they made me check it. It's too heavy. | [
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] | |
excited | [LAUGHTER] Oh, it'll be awesome, that's for sure. | What is the prevailing emotion in this voice recording? | emotion_detection | Excited | [laughter] oh, it'll be awesome, that's for sure. | [
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] | |
neutral | Oh, this- this form that you have is the wrong form. You need to go over to the other line on the other side of the D.M.V.. | What emotional state is manifested in this audio? | emotion_detection | Neutral | oh, this- this form that you have is the wrong form. You need to go over to the other line on the other side of the d. m. v. . | [
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] | |
frustrated | It's a woman's job to allure the man. Watch me a moment, won't you? | Gauge the emotional temperature of this speech. | emotion_detection | Frustrated | it's a woman's job to allure the man. Watch me a moment, won't you? | [
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] | |
frustrated | Calm yourself. | What emotional overtones are present in this speech? | emotion_detection | Frustrated | calm yourself. | [
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] | |
excited | Cheap is exactly what I need- Because I have no money at all. | Parse the emotional content of this audio recording. | emotion_detection | Excited | cheap is exactly what i need- because i have no money at all. | [
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] | |
neutral | No problem. | What does the emotional inflection in this speech indicate? | emotion_detection | Neutral | no problem. | [
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] | |
frustrated | There is a large line of people behind you waiting to be-- | Detect the emotional sentiment in this audio clip. | emotion_detection | Frustrated | there is a large line of people behind you waiting to be-- | [
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12327,
13
] | |
frustrated | like I paid right through your own company before my due date but it's still and it even shows my payment there, and then it charged me the late fee afterwards. | Distinguish the primary emotion in this speech sample. | emotion_detection | Frustrated | like i paid right through your own company before my due date but it's still and it even shows my payment there, and then it charged me the late fee afterwards. | [
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] | |
neutral | No thanks. | What is your read on the speaker's emotional state? | emotion_detection | Neutral | no thanks. | [
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] | |
neutral | Well, from her point of view why else would I come? | What is the emotion expressed in this speech? | emotion_detection | Neutral | well, from her point of view why else would i come? | [
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30
] | |
sad | You have to tell me. | Identify the emotional state of the speaker. | emotion_detection | Sad | you have to tell me. | [
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] | |
sad | Maybe if you're with somebody else, too? | What feeling is conveyed in this audio? | emotion_detection | Sad | maybe if you're with somebody else, too? | [
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] | |
frustrated | That's just dumb. | Determine the emotion in the speaker's voice. | emotion_detection | Frustrated | that's just dumb. | [
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surprise | Shut up. | Determine the affective state of the speaker. | emotion_detection | Surprise | shut up. | [
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] | |
neutral | wow. | What is the speaker's emotional disposition in this recording? | emotion_detection | Neutral | wow. | [
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] | |
angry | What's wrong about this form? It says new I.D. on it. | What emotions are being expressed in this audio sample? | emotion_detection | Angry | what's wrong about this form? It says new i. d. On it. | [
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] | |
happy | Or not. | Evaluate the emotional component of this speech. | emotion_detection | Happy | or not. | [
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] | |
neutral | totally. | Tell me about the emotional character of this speech. | emotion_detection | Neutral | totally. | [
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] | |
neutral | Hi, sir. How can I help you? | What's the emotional atmosphere conveyed by this speech? | emotion_detection | Neutral | hi, sir. How can i help you? | [
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] | |
excited | I am glad. | What emotion would you attribute to this speech? | emotion_detection | Excited | i am glad. | [
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] | |
angry | Well, what do you want me to do? You're old enough to make- to know your own mind. | What emotion is most apparent in the speaker's voice? | emotion_detection | Angry | well, what do you want me to do? You're old enough to make- to know your own mind. | [
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] | |
angry | I'll get out. I'll go get married someplace else, I- I'll live someplace else, maybe New York. | Identify the emotional resonance in this voice sample. | emotion_detection | Angry | i'll get out. I'll go get married someplace else, i- i'll live someplace else, maybe new york. | [
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] | |
angry | What about me? | What emotional message is carried in the speaker's voice? | emotion_detection | Angry | what about me? | [
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] | |
frustrated | Believe with me, Joe. I can't stand alone. | What is your read on the speaker's emotional state? | emotion_detection | Frustrated | believe with me, joe. I can't stand alone. | [
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] | |
happy | You've got a lot- oh, awesome. | Ascertain the emotional nature of this recording. | emotion_detection | Happy | you've got a lot- oh, awesome. | [
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] | |
excited | Yeah. of course. | What is the emotion expressed in this speech? | emotion_detection | Excited | yeah. Of course. | [
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8806,
30
] | |
sad | I can't imagine what his- what his parents are going through. | What feeling is conveyed in this audio? | emotion_detection | Sad | i can't imagine what his- what his parents are going through. | [
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7699,
30
] | |
excited | Just close friends so far. | What mood or emotion does the speaker express? | emotion_detection | Excited | just close friends so far. | [
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18601,
3158,
30
] | |
neutral | So, um, what do I do? | Analyze the emotional tone of this speech. | emotion_detection | Neutral | so, um, what do i do? | [
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13
] | |
neutral | Yeah, have you ever like lived with someone else before? | What emotional state is reflected in this speech? | emotion_detection | Neutral | yeah, have you ever like lived with someone else before? | [
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419,
8806,
30
] | |
excited | Honey, this is a natural phenomenon. I mean, It happens like once a year. It's a great opportunity. | Analyze the speaker's emotion in this recording. | emotion_detection | Excited | honey, this is a natural phenomenon. I mean, it happens like once a year. It's a great opportunity. | [
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] | |
neutral | If I- If you- Will you stick with it? | What is the emotional subtext in this speech? | emotion_detection | Neutral | if i- if you- will you stick with it? | [
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30
] | |
excited | The flashlight. The silver one. There's only one, isn't there? Stupid. | What can you tell about the speaker's emotions from this audio? | emotion_detection | Excited | the flashlight. The silver one. There's only one, isn't there? Stupid. | [
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] | |
happy | Of course. | Recognize the emotion expressed in this speech sample. | emotion_detection | Happy | of course. | [
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551,
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6077,
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] | |
frustrated | Believe with me, Joe. I can't stand alone. | What emotional state is manifested in this audio? | emotion_detection | Frustrated | believe with me, joe. I can't stand alone. | [
3838,
14269,
1584,
374,
78654,
304,
419,
7699,
30
] | |
frustrated | There is nothing I can do about it. You need to take this other form and fill it out and go stand in the other line. | What is the emotion expressed in this speech? | emotion_detection | Frustrated | there is nothing i can do about it. You need to take this other form and fill it out and go stand in the other line. | [
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279,
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419,
8806,
30
] | |
sad | I almost got married two years ago. | Identify the emotional state of the speaker. | emotion_detection | Sad | i almost got married two years ago. | [
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279,
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1584,
315,
279,
18601,
13
] | |
frustrated | She's not Larry's girl! | Analyze the emotional tone of this speech. | emotion_detection | Frustrated | she's not larry's girl! | [
2082,
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14269,
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315,
419,
8806,
13
] | |
sad | It felt wrong to be alive-to open that bank-book; to buy that new car; to look at that new refrigerator. I mean, you can take those things out of the war, but if you drive that car, you have to know that that comes from the love that a man has for a man. And you've got to be a little bit better than that! | Detect the primary emotion in this audio clip. | emotion_detection | Sad | it felt wrong to be alive-to open that bank-book; to buy that new car; to look at that new refrigerator. I mean, you can take those things out of the war, but if you drive that car, you have to know that that comes from the love that a man has for a man. And you've got to be a little bit better than that! | [
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279,
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7699,
12327,
13
] | |
angry | You above all have got to believe. | Determine the affective state of the speaker. | emotion_detection | Angry | you above all have got to believe. | [
35,
24308,
279,
7802,
533,
1584,
315,
279,
18601,
13
] | |
neutral | Maybe [garbage]. | Evaluate the emotional component of this speech. | emotion_detection | Neutral | maybe [garbage]. | [
82345,
279,
14269,
3692,
315,
419,
8806,
13
] | |
sad | Remember when I was overseas? I was in command of the company. | What's the emotional atmosphere conveyed by this speech? | emotion_detection | Sad | remember when i was overseas? I was in command of the company. | [
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72797,
553,
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8806,
30
] | |
sad | No. | Describe the emotional context evident in this speech. | emotion_detection | Sad | no. | [
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419,
8806,
13
] | |
neutral | How long ago was that? | Interpret the emotional signals in this speech. | emotion_detection | Neutral | how long ago was that? | [
3306,
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304,
419,
8806,
13
] | |
frustrated | I've tried everything. I've called everyone I know. I've tried everything. No one can do anything for me or they won't do anything for me. | What emotional state is manifested in this audio? | emotion_detection | Frustrated | i've tried everything. I've called everyone i know. I've tried everything. No one can do anything for me or they won't do anything for me. | [
3838,
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30
] | |
sad | It's the think | Discern the emotional quality of this speech recording. | emotion_detection | Sad | it's the think | [
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419,
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13
] | |
neutral | What if you do kids parties? oh, come on. | What emotional overtones are present in this speech? | emotion_detection | Neutral | what if you do kids parties? Oh, come on. | [
3838,
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304,
419,
8806,
30
] | |
sad | No. | Detect the emotional sentiment in this audio clip. | emotion_detection | Sad | no. | [
57193,
279,
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304,
419,
7699,
12327,
13
] | |
excited | Well, I mean, until then you never wrote and when you did, what did you say? I mean, you sure can be ambiguous. | What is your read on the speaker's emotional state? | emotion_detection | Excited | well, i mean, until then you never wrote and when you did, what did you say? I mean, you sure can be ambiguous. | [
3838,
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30
] | |
angry | They're away in Tunis. | Identify the emotional state of the speaker. | emotion_detection | Angry | they're away in tunis. | [
28301,
1437,
279,
14269,
1584,
315,
279,
18601,
13
] | |
neutral | Meaning exactly that. | What feeling is conveyed in this audio? | emotion_detection | Neutral | meaning exactly that. | [
3838,
8266,
374,
72797,
304,
419,
7699,
30
] | |
excited | With the most perfect poise. | What emotional state is reflected in this speech? | emotion_detection | Excited | with the most perfect poise. | [
3838,
14269,
1584,
374,
25911,
304,
419,
8806,
30
] | |
sad | And he could of... He was pretty awesome | Which emotion is most strongly expressed in this audio? | emotion_detection | Sad | and he could of. .. He was pretty awesome | [
23085,
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374,
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13302,
304,
419,
7699,
30
] | |
excited | awesome. | Determine the affective state of the speaker. | emotion_detection | Excited | awesome. | [
35,
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279,
7802,
533,
1584,
315,
279,
18601,
13
] | |
frustrated | What are you so excited about. This isn't rocket science, this is just fish. Fish nobody even eats. | Can you identify the emotion behind these spoken words? | emotion_detection | Frustrated | what are you so excited about. This isn't rocket science, this is just fish. Fish nobody even eats. | [
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30
] | |
sad | He cried hard? | Describe the emotional quality present in this voice recording. | emotion_detection | Sad | he cried hard? | [
74785,
279,
14269,
4271,
3042,
304,
419,
7743,
14633,
13
] | |
frustrated | No, you don't. I'm a pretty tough guy. | Evaluate the emotional component of this speech. | emotion_detection | Frustrated | no, you don't. I'm a pretty tough guy. | [
82345,
279,
14269,
3692,
315,
419,
8806,
13
] | |
angry | You think this is what I had in mind? You think that when I propose I had this great fantasy going that four years down the road, we will end up on a beach arguing over fish. You think that I knew that there would be times when you will look at me like I am used Kleenex? Or that I will look at you and think, holy hell what's the next flight to Alaska. | Based on the voice, what emotion is the speaker experiencing? | emotion_detection | Angry | you think this is what i had in mind? You think that when i propose i had this great fantasy going that four years down the road, we will end up on a beach arguing over fish. You think that i knew that there would be times when you will look at me like i am used kleenex? Or that i will look at you and think, holy hell what's the next flight to alaska. | [
28715,
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374,
279,
18601,
24084,
30
] | |
frustrated | I want something to turn out the way it is suppose to turn out. | Tell me about the emotional character of this speech. | emotion_detection | Frustrated | i want something to turn out the way it is suppose to turn out. | [
40451,
752,
911,
279,
14269,
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419,
8806,
13
] | |
frustrated | Sure. Everybody is told the same thing, it keeps us all excited. It keeps us all coming back for more. It keeps us thinking that life is gonna start now any minute if we can just find the right spot and get in on the action. | What emotional cues can you detect in this audio? | emotion_detection | Frustrated | sure. Everybody is told the same thing, it keeps us all excited. It keeps us all coming back for more. It keeps us thinking that life is gonna start now any minute if we can just find the right spot and get in on the action. | [
3838,
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646,
498,
11140,
304,
419,
7699,
30
] | |
frustrated | Well, Sure. | Identify the emotional undercurrent in the speaker's voice. | emotion_detection | Frustrated | well, sure. | [
28301,
1437,
279,
14269,
1212,
3231,
304,
279,
18601,
594,
7743,
13
] | |
excited | The exact right guy, I fully approve. He's a wonderful guy. We have a great time. He can drink. That's awesome. | What emotion would you attribute to this speech? | emotion_detection | Excited | the exact right guy, i fully approve. He's a wonderful guy. We have a great time. He can drink. That's awesome. | [
3838,
19772,
1035,
498,
7035,
311,
419,
8806,
30
] |
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