audio audio | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
0 | 3.6667 | 2.3333 | 2 | 3.33325 | 1.66675 | 2 | Ses01F_impro03_F019 | Yeah. | 2 | neutral | 0.430581 | 8,569 | 0.302702 | -0.333333 | 0 | 0.433013 | 0.5 | 0.829156 | 0 | 0 | 0 | 4 | 4 | 3.6667 | 2.3333 | 2 | |
0 | 3.3333 | 2.6667 | 2 | 4.16675 | 0.83325 | 2 | Ses01F_impro03_F022 | Fifty bucks. Mmhmm. | 2 | neutral | 0.263881 | 8,568 | 0.302702 | -0.333333 | 0 | 0.5 | 0.433013 | 0.829156 | 0 | 0 | 0 | 4 | 4 | 3.3333 | 2.6667 | 2 | |
0 | 3 | 2.3333 | 2 | 3.33325 | 0 | 2 | Ses01F_impro03_F023 | Yeah. | 2 | neutral | 0.208337 | 9,331 | 0.283124 | -0.333333 | 0 | 0.829156 | 0.5 | 0.707107 | 0 | 0 | 0 | 4 | 4 | 3 | 2.3333 | 2 | |
0 | 4 | 3 | 2.6667 | 5 | 2.5 | 1 | Ses01F_impro03_M000 | So what's up? What's new? | 1 | neutral | 0.597218 | 5,025 | 0.399408 | -0.333333 | 0 | 0 | 0.707107 | 0.5 | null | 0 | 0 | 4 | 4 | 4 | 3 | 2.6667 | |
0 | 4.3333 | 2.6667 | 2.3333 | 4.16675 | 3.33325 | 1 | Ses01F_impro03_M001 | Yeah. I heard. | 1 | neutral | 0.986079 | 8,214 | 0.307487 | -0.333333 | 0 | 0.433013 | 0.433013 | 0.829156 | 0 | 0 | 0 | 4 | 4 | 4.3333 | 2.6667 | 2.3333 | |
0 | 4 | 2.6667 | 2.3333 | 4.16675 | 2.5 | 1 | Ses01F_impro03_M006 | He turned to you and was like... | 1 | neutral | 0.597234 | 8,213 | 0.307487 | -0.333333 | 0 | 0.433013 | 0.433013 | 0.829156 | 0 | 0 | 0 | 4 | 4 | 4 | 2.6667 | 2.3333 | |
0 | 4 | 2.6667 | 2 | 4.16675 | 2.5 | 1 | Ses01F_impro03_M008 | Yeah. | 1 | neutral | 0.708337 | 4,986 | 0.40499 | -0.333333 | 0 | 0 | 0.433013 | 0.707107 | null | 0 | 0 | 4 | 4 | 4 | 2.6667 | 2 | |
0 | 3.6667 | 2.3333 | 2.3333 | 3.33325 | 1.66675 | 1 | Ses01F_impro03_M009 | Does that mean that you're going to get citizenship, too, in- in England or whatever? | 1 | neutral | 0.319479 | 8,210 | 0.31142 | -0.333333 | 0 | 0.707107 | 0.5 | 0.433013 | 0 | 0 | 0 | 4 | 4 | 3.6667 | 2.3333 | 2.3333 | |
0 | 3.6667 | 2.6667 | 2.6667 | 4.16675 | 1.66675 | 1 | Ses01F_impro03_M016 | How much did he win at the slot? | 1 | neutral | 0.252799 | 8,221 | 0.306635 | -0.333333 | 0 | 0.707107 | 0.5 | 0.5 | 0 | 0 | 0 | 4 | 4 | 3.6667 | 2.6667 | 2.6667 | |
0 | 3.3333 | 3 | 2.6667 | 5 | 0.83325 | 1 | Ses01F_impro03_M020 | But the pennies always get you because you end up spending like, you know, fifty bucks. | 1 | neutral | 0.152762 | 6,698 | 0.34757 | null | null | 0.5 | 0.829156 | 0.5 | 0 | 0 | 0 | 4 | 4 | 3.3333 | 3 | 2.6667 | |
0 | 3 | 3.3333 | 2.6667 | 5.83325 | 0 | 1 | Ses01F_impro03_M021 | like, wait, but it's just pennies. You're like, wait a minute I'm on to you. | 1 | neutral | 0.230534 | 6,498 | 0.363323 | null | null | 0.433013 | 0.707107 | 0.5 | 0 | 0 | 0 | 4 | 4 | 3 | 3.3333 | 2.6667 | |
0 | 3.6667 | 2.6667 | 2.3333 | 4.16675 | 1.66675 | 1 | Ses01F_impro03_M024 | That's fair enough. | 1 | neutral | 0.319479 | 6,501 | 0.358735 | null | null | 0.433013 | 0.433013 | 0.829156 | 0 | 0 | 0 | 4 | 4 | 3.6667 | 2.6667 | 2.3333 | |
0 | 3 | 3 | 3 | 5 | 0 | 2 | Ses01F_impro04_F000 | Uh, what? Craig's List? Oh the internet thing? | 2 | neutral | 0.075 | 5,537 | 0.382149 | -0.333333 | 0 | 0 | 0.942809 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 3 | 3 | |
0 | 2.5 | 2.5 | 3 | 3.75 | -1.25 | 2 | Ses01F_impro04_F001 | I don't know. Isn't that-- that's all like escort services and things like that. | 2 | neutral | 0.125 | 3,395 | 0.421433 | -0.333333 | 0 | 0.471405 | 0.471405 | 0 | 0 | 0 | null | 4 | 3 | 2.5 | 2.5 | 3 | |
0 | 3 | 2 | 2.5 | 2.5 | 0 | 2 | Ses01F_impro04_F005 | He just... | 2 | neutral | 0.125 | 3,315 | 0.421433 | -0.333333 | 0 | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2 | 2.5 | |
0 | 3 | 3.5 | 3.5 | 6.25 | 0 | 2 | Ses01F_impro04_F006 | you know what? I heard about that job. I applied for that. | 2 | neutral | 0.35 | 7,298 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3 | 3.5 | 3.5 | |
0 | 2.5 | 2.5 | 2.5 | 3.75 | -1.25 | 2 | Ses01F_impro04_F009 | Yeah. | 2 | neutral | 0.175 | 9,374 | 0.278257 | -0.333333 | 0 | 0.471405 | 0.816497 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2.5 | |
0 | 3 | 3.5 | 3.5 | 6.25 | 0 | 2 | Ses01F_impro04_F013 | I just- I mean I call people up and I tell them what I'm good at. | 2 | neutral | 0.35 | 7,345 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3 | 3.5 | 3.5 | |
0 | 2.5 | 3 | 2.5 | 5 | -1.25 | 2 | Ses01F_impro04_F014 | Yeah. | 2 | neutral | 0.25 | 8,729 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.942809 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 3 | 2.5 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro04_M000 | Have you tried, uh, Craig's List? | 1 | neutral | 0.05 | 2,130 | 0.505719 | null | null | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3 | 2.5 | 2 | 3.75 | 0 | 1 | Ses01F_impro04_M001 | Yeah. | 1 | neutral | 0.2 | 2,823 | 0.47121 | null | null | 0 | 0.471405 | 0.816497 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2 | |
0 | 3 | 2.5 | 3 | 3.75 | 0 | 1 | Ses01F_impro04_M002 | No. There's regular jobs on there. | 1 | neutral | 0 | 2,160 | 0.505719 | null | null | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 3 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro04_M003 | Uh huh. | 1 | neutral | 0.05 | 2,161 | 0.505719 | null | null | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3 | 3 | 3 | 5 | 0 | 1 | Ses01F_impro04_M005 | He's like a manager for a theatre. | 1 | neutral | 0.075 | 78 | 1 | null | null | 0 | 0 | 0 | null | null | null | 4 | 3 | 3 | 3 | 3 | |
0 | 3 | 3.5 | 2.5 | 6.25 | 0 | 1 | Ses01F_impro04_M006 | He's like a house manager. Yeah. It's a good job. | 1 | neutral | 0.35 | 6,578 | 0.353391 | null | null | 0.471405 | 0.816497 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3 | 3.5 | 2.5 | |
0 | 3.5 | 3 | 2.5 | 5 | 1.25 | 1 | Ses01F_impro04_M007 | You did? | 1 | neutral | 0.25 | 8,265 | 0.302907 | -0.333333 | 0 | 0.471405 | 0.816497 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3.5 | 3 | 2.5 | |
0 | 3 | 3 | 2.5 | 5 | 0 | 1 | Ses01F_impro04_M008 | Yeah. | 1 | neutral | 0.125 | 2,162 | 0.505719 | null | null | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 3 | 2.5 | |
0 | 3 | 2.5 | 2 | 3.75 | 0 | 1 | Ses01F_impro04_M010 | Hmm. | 1 | neutral | 0.2 | 2,778 | 0.47121 | null | null | 0 | 0.471405 | 0.816497 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2 | |
0 | 3 | 3 | 2.5 | 5 | 0 | 1 | Ses01F_impro04_M011 | I don't know. He had a really good resume I guess and-- | 1 | neutral | 0.125 | 2,864 | 0.458579 | null | null | 0 | 0.942809 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 3 | 2.5 | |
0 | 3 | 3 | 2.5 | 5 | 0 | 1 | Ses01F_impro04_M012 | Yeah. Do you have a resume? | 1 | neutral | 0.125 | 2,863 | 0.458579 | null | null | 0 | 0.942809 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 3 | 2.5 | |
0 | 3 | 2 | 3 | 2.5 | 0 | 1 | Ses01F_impro04_M013 | It's kind of helpful when getting a job. | 1 | neutral | 0.075 | 487 | 0.691074 | null | null | 0 | 0 | 0.471405 | null | null | 0 | 4 | 3 | 3 | 2 | 3 | |
0 | 3.5 | 3.5 | 3.5 | 6.25 | 1.25 | 1 | Ses01F_impro04_M014 | Well maybe we should sit down some time and you can just tell me all the stuff that you have done and I'll write it out. | 1 | neutral | 0.475 | 7,454 | 0.324634 | null | null | 0.471405 | 0.816497 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 3.5 | 3.5 | 3.5 | |
0 | 2.5 | 3.5 | 3 | 6.25 | -1.25 | 1 | Ses01F_impro04_M015 | No. You can- or you can just bring it in person. But they need, generally, something to see, you know, what kind of what that you've done, what kind of-- | 1 | neutral | 0.425 | 6,588 | 0.353391 | null | null | 0.471405 | 0.816497 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 3.5 | 3 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro04_M016 | Yeah. But the piece of paper helps, too. | 1 | neutral | 0.05 | 2,132 | 0.505719 | null | null | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3 | 3.5 | 3 | 6.25 | 0 | 1 | Ses01F_impro04_M018 | I know. Okay. Well, um. Maybe-- | 1 | neutral | 0.3 | 3,103 | 0.421433 | -0.333333 | 0 | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 3.5 | 3 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro04_M019 | Yeah. | 1 | neutral | 0.05 | 2,789 | 0.47121 | null | null | 0 | 0.816497 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro04_M020 | Okay, yeah. I would imagine. | 1 | neutral | 0.05 | 3,149 | 0.421433 | -0.333333 | 0 | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3.5 | 3.5 | 3 | 6.25 | 1.25 | 1 | Ses01F_impro04_M021 | Well, sometimes you have to do things that you don't necessarily like to do to have a job. But the job affords you money, you won't have to be taking the bus right now. | 1 | neutral | 0.425 | 6,579 | 0.353391 | null | null | 0.471405 | 0.816497 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3.5 | 3.5 | 3 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro04_M022 | maybe get a car. | 1 | neutral | 0.05 | 2,131 | 0.505719 | null | null | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro04_M023 | I just, you know, think you should try a little harder maybe. | 1 | neutral | 0.325 | 2,129 | 0.505719 | null | null | 0.471405 | 0.471405 | 0 | 0 | 0 | null | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 3.5 | 3 | 3 | 5 | 1.25 | 1 | Ses01F_impro04_M026 | To save the environment, carpool. | 1 | neutral | 0.2 | 8,696 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.942809 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3.5 | 3 | 3 | |
0 | 3.5 | 3.5 | 3.5 | 6.25 | 1.25 | 1 | Ses01F_impro04_M027 | Yes. One less car at a time. | 1 | neutral | 0.475 | 9,391 | 0.278257 | -0.333333 | 0 | 0.471405 | 0.816497 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 3.5 | 3.5 | 3.5 | |
0 | 3 | 2.5 | 2 | 3.75 | 0 | 1 | Ses01F_impro04_M028 | Mmhmm. | 1 | neutral | 0.2 | 490 | 0.691074 | null | null | 0 | 0.471405 | 0 | null | 0 | null | 4 | 3 | 3 | 2.5 | 2 | |
0 | 2.5 | 2 | 1.5 | 2.5 | -1.25 | 1 | Ses01F_impro04_M032 | I- I-I didn't-- okay. | 1 | neutral | 0.65 | 3,228 | 0.421433 | -0.333333 | 0 | 0.471405 | 0 | 0.471405 | 0 | null | 0 | 4 | 3 | 2.5 | 2 | 1.5 | |
0 | 4 | 2.5 | 2 | 3.75 | 2.5 | 1 | Ses01F_impro05_M000 | Hi. Thanks for waiting. | 1 | neutral | 0.7 | 5,086 | 0.392675 | -0.333333 | 0 | 0 | 0.471405 | 0.816497 | null | 0 | 0 | 4 | 3 | 4 | 2.5 | 2 | |
0 | 4 | 2.5 | 2 | 3.75 | 2.5 | 1 | Ses01F_impro05_M003 | Okay. | 1 | neutral | 0.7 | 8,429 | 0.302907 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 4 | 2.5 | 2 | |
0 | 3.5 | 1.5 | 2 | 1.25 | 1.25 | 1 | Ses01F_impro05_M004 | Okay. | 1 | neutral | 0.625 | 9,377 | 0.278257 | -0.333333 | 0 | 0.471405 | 0.816497 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 3.5 | 1.5 | 2 | |
0 | 3.5 | 2.5 | 2 | 3.75 | 1.25 | 1 | Ses01F_impro05_M005 | Okay. Great. I'm really sorry that you had to do that. What's your last name? Let's start there. | 1 | neutral | 0.325 | 6,720 | 0.342865 | null | null | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 3.5 | 2.5 | 2 | |
0 | 3.5 | 2.5 | 2 | 3.75 | 1.25 | 1 | Ses01F_impro05_M006 | Okay. | 1 | neutral | 0.325 | 6,721 | 0.342865 | null | null | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 3.5 | 2.5 | 2 | |
0 | 3 | 2.5 | 2 | 3.75 | 0 | 1 | Ses01F_impro05_M008 | Uh-huh. | 1 | neutral | 0.2 | 6,623 | 0.353391 | null | null | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 3 | 2.5 | 2 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro05_M009 | Yeah. Yeah, I don't see- I don't see any-- | 1 | neutral | 0.325 | 8,635 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro05_M011 | we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again... | 1 | neutral | 0.325 | 8,632 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 2.5 | 2 | 1.5 | 2.5 | -1.25 | 1 | Ses01F_impro05_M012 | for such an inconvenience and your bag, but | 1 | neutral | 0.65 | 7,444 | 0.324634 | null | null | 0.816497 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 1.5 | |
0 | 2.5 | 2 | 1.5 | 2.5 | -1.25 | 1 | Ses01F_impro05_M013 | Yeah. | 1 | neutral | 0.65 | 6,621 | 0.353391 | null | null | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 1.5 | |
0 | 2.5 | 2.5 | 1.5 | 3.75 | -1.25 | 1 | Ses01F_impro05_M014 | No, no. | 1 | neutral | 0.575 | 8,421 | 0.302907 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 1.5 | |
0 | 2.5 | 2 | 1.5 | 2.5 | -1.25 | 1 | Ses01F_impro05_M015 | No, no. This is real. | 1 | neutral | 0.65 | 6,620 | 0.353391 | null | null | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 1.5 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro05_M016 | No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because... | 1 | neutral | 0.325 | 5,493 | 0.382149 | null | null | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 2.5 | 2.5 | 2.5 | 3.75 | -1.25 | 1 | Ses01F_impro05_M017 | this is the only track record that we have and if it's not listed here then it's probably not anywhere. | 1 | neutral | 0.175 | 8,363 | 0.302907 | -0.333333 | 0 | 0.816497 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2.5 | |
0 | 2.5 | 2 | 2 | 2.5 | -1.25 | 1 | Ses01F_impro05_M019 | Yes. | 1 | neutral | 0.4 | 5,369 | 0.382149 | -0.333333 | 0 | 0.471405 | 0 | 0.942809 | 0 | null | 0 | 4 | 3 | 2.5 | 2 | 2 | |
0 | 2.5 | 2 | 2 | 2.5 | -1.25 | 1 | Ses01F_impro05_M020 | I know. | 1 | neutral | 0.4 | 8,628 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 2 | |
0 | 2.5 | 2 | 2 | 2.5 | -1.25 | 1 | Ses01F_impro05_M022 | Okay. Calm- | 1 | neutral | 0.4 | 8,600 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 2 | |
0 | 2.5 | 3.5 | 2.5 | 6.25 | -1.25 | 1 | Ses01F_impro05_M023 | Actually, we are not necessarily liable to give you- to even give you this fifty dollars so... it's actually- it's actually really | 1 | neutral | 0.475 | 7,290 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 3.5 | 2.5 | |
0 | 2.5 | 3 | 2.5 | 5 | -1.25 | 1 | Ses01F_impro05_M024 | We are actually not even allowed-- you know, like we don't have to give you this fifty dollars. We don't have to do that. | 1 | neutral | 0.25 | 3,224 | 0.421433 | -0.333333 | 0 | 0.471405 | 0 | 0.471405 | 0 | null | 0 | 4 | 3 | 2.5 | 3 | 2.5 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro05_M025 | It's a gift. | 1 | neutral | 0.325 | 7,291 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 2.5 | 2.5 | 2.5 | 3.75 | -1.25 | 1 | Ses01F_impro05_M026 | You know, the airlines can not be held responsible for every bag of luggage that comes through here. | 1 | neutral | 0.175 | 7,292 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2.5 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro05_M027 | With the amount of-- | 1 | neutral | 0.325 | 7,293 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 2.5 | 2.5 | 2 | 3.75 | -1.25 | 1 | Ses01F_impro05_M028 | Um, actually, I don't know. I don't know. Oh really? | 1 | neutral | 0.325 | 8,320 | 0.302907 | -0.333333 | 0 | 0.816497 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2 | |
0 | 2.5 | 2.5 | 2.5 | 3.75 | -1.25 | 1 | Ses01F_impro05_M029 | Well then maybe you can just call him and he can give you more money. But right now all I can do-- | 1 | neutral | 0.175 | 7,294 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2.5 | |
0 | 3 | 2.5 | 2 | 3.75 | 0 | 1 | Ses01F_impro05_M030 | Right now all I can do is just give you this fifty dollars, I'm really sorry. | 1 | neutral | 0.2 | 7,295 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3 | 2.5 | 2 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro05_M031 | Oh. My name is Sean. Hi. | 1 | neutral | 0.05 | 3,225 | 0.421433 | -0.333333 | 0 | 0 | 0.471405 | 0.471405 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 2.5 | 2.5 | 2.5 | 3.75 | -1.25 | 1 | Ses01F_impro05_M034 | If you want, you can write a letter. I can give you the address. Yes. An angry-- | 1 | neutral | 0.175 | 7,318 | 0.327556 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2.5 | |
0 | 2.5 | 2 | 1.5 | 2.5 | -1.25 | 1 | Ses01F_impro05_M035 | Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more... | 1 | neutral | 0.65 | 8,434 | 0.302907 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 1.5 | |
0 | 3 | 2 | 2.5 | 2.5 | 0 | 2 | Ses01F_impro06_F003 | That's sweet. | 2 | neutral | 0.125 | 8,332 | 0.302907 | -0.333333 | 0 | 0.816497 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3 | 2 | 2.5 | |
0 | 3.5 | 2 | 3 | 2.5 | 1.25 | 2 | Ses01F_impro06_F004 | Thank you. | 2 | neutral | 0.2 | 8,333 | 0.302907 | -0.333333 | 0 | 0.816497 | 0.471405 | 0.471405 | 0 | 0 | 0 | 4 | 3 | 3.5 | 2 | 3 | |
0 | 2.5 | 3 | 3.5 | 5 | -1.25 | 2 | Ses01F_impro06_F009 | this woman came up and, you know, it was hers. It was her person that was there. | 2 | neutral | 0.25 | 3,243 | 0.421433 | -0.333333 | 0 | 0.471405 | 0 | 0.471405 | 0 | null | 0 | 4 | 3 | 2.5 | 3 | 3.5 | |
0 | 4 | 3 | 3.5 | 5 | 2.5 | 2 | Ses01F_impro06_F016 | I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers. | 2 | neutral | 0.625 | 946 | 0.55286 | -0.333333 | 0 | 0 | 0 | 0.471405 | null | null | 0 | 4 | 3 | 4 | 3 | 3.5 | |
0 | 4 | 3 | 3.5 | 5 | 2.5 | 2 | Ses01F_impro06_F018 | Yeah. It's huge. Redlands is an old city so they have lots and lots of stones. | 2 | neutral | 0.625 | 5,102 | 0.392675 | -0.333333 | 0 | 0.471405 | 0 | 0.816497 | 0 | null | 0 | 4 | 3 | 4 | 3 | 3.5 | |
0 | 2.5 | 2 | 2.5 | 2.5 | -1.25 | 2 | Ses01F_impro06_F019 | Yeah. | 2 | neutral | 0.25 | 5,101 | 0.392675 | -0.333333 | 0 | 0.471405 | 0 | 0.816497 | 0 | null | 0 | 4 | 3 | 2.5 | 2 | 2.5 | |
0 | 2.5 | 3 | 3.5 | 5 | -1.25 | 1 | Ses01F_impro06_M001 | Is there anything I can get you? Do you want me to take care of anything for you or...? | 1 | neutral | 0.25 | 5,150 | 0.392675 | -0.333333 | 0 | 0.471405 | 0 | 0.816497 | 0 | null | 0 | 4 | 3 | 2.5 | 3 | 3.5 | |
0 | 2.5 | 2 | 3 | 2.5 | -1.25 | 1 | Ses01F_impro06_M002 | ...pick up anything? | 1 | neutral | 0.2 | 8,750 | 0.293884 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2 | 3 | |
0 | 3 | 3 | 2.5 | 5 | 0 | 1 | Ses01F_impro06_M004 | Hmm. | 1 | neutral | 0.125 | 9,437 | 0.278214 | -0.333333 | 0 | 0 | 1.247219 | 1.414214 | null | 0 | 0 | 4 | 3 | 3 | 3 | 2.5 | |
0 | 3 | 2 | 2.5 | 2.5 | 0 | 1 | Ses01F_impro06_M006 | Mmhmm. | 1 | neutral | 0.125 | 8,462 | 0.302907 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 3 | 2 | 2.5 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro06_M009 | Mmhmm. | 1 | neutral | 0.05 | 3,007 | 0.436701 | null | null | 0 | 0.816497 | 0.816497 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3 | 2.5 | 3 | 3.75 | 0 | 1 | Ses01F_impro06_M010 | Oh really? | 1 | neutral | 0 | 6,515 | 0.356781 | -0.333333 | 0 | 0 | 0.471405 | 1.247219 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 3 | |
0 | 3 | 2 | 3 | 2.5 | 0 | 1 | Ses01F_impro06_M011 | You ran through the sprinklers in the cemetery? | 1 | neutral | 0.075 | 5,429 | 0.382149 | -0.333333 | 0 | 0 | 0.471405 | 0.942809 | null | 0 | 0 | 4 | 3 | 3 | 2 | 3 | |
0 | 2.5 | 2.5 | 2.5 | 3.75 | -1.25 | 1 | Ses01F_impro06_M012 | Is it a big cemetery? | 1 | neutral | 0.175 | 8,475 | 0.302907 | -0.333333 | 0 | 0.471405 | 0.471405 | 0.816497 | 0 | 0 | 0 | 4 | 3 | 2.5 | 2.5 | 2.5 | |
0 | 3 | 2.5 | 2.5 | 3.75 | 0 | 1 | Ses01F_impro06_M013 | Oh, so they're like really old too, really old ones? | 1 | neutral | 0.05 | 5,056 | 0.392675 | -0.333333 | 0 | 0 | 0.471405 | 0.816497 | null | 0 | 0 | 4 | 3 | 3 | 2.5 | 2.5 | |
0 | 3 | 2.5 | 2 | 3.75 | 0 | 1 | Ses01F_impro06_M014 | Mmhmm. | 1 | neutral | 0.2 | 9,544 | 0.269235 | -0.333333 | 0 | 0.471405 | 0.816497 | 0.942809 | 0 | 0 | 0 | 4 | 3 | 3 | 2.5 | 2 | |
0 | 3 | 3 | 2.5 | 5 | 0 | 1 | Ses01F_impro06_M015 | Mmhmm. | 1 | neutral | 0.125 | 9,961 | 0.226541 | -0.333333 | 0 | 0.471405 | 0.942809 | 1.414214 | 0 | 0 | 0 | 4 | 3 | 3 | 3 | 2.5 |
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IEMOCAP with Curriculum Learning Metrics
This dataset enhances the original IEMO_WAV_Diff_2 dataset with inter-evaluator agreement metrics for curriculum learning following Lotfian & Busso (2019).
Additional Columns
curriculum_order: Training order (1=highest agreement, train first)overall_agreement: Combined agreement score (0-1, higher is better)fleiss_kappa: Categorical agreement (-1 to 1, higher is better)krippendorff_alpha: Krippendorff's alpha for categorical reliabilityvalence_std,arousal_std,dominance_std: Standard deviation of dimensional ratings (lower is better)valence_icc,arousal_icc,dominance_icc: Intraclass correlation coefficients (0-1, higher is better)n_categorical_evaluators,n_dimensional_evaluators: Number of evaluatorsconsensus_valence,consensus_arousal,consensus_dominance: Consensus dimensional ratings
Usage for Curriculum Learning
Sort samples by curriculum_order and train on high-agreement samples first:
from datasets import load_dataset
dataset = load_dataset("cairocode/IEMO_WAV_Diff_2_Curriculum")
train_data = dataset["train"].sort("curriculum_order")
# Start with high agreement samples
easy_samples = train_data.filter(lambda x: x["overall_agreement"] > 0.5)
hard_samples = train_data.filter(lambda x: x["overall_agreement"] < 0.5)
Citation
If you use this dataset, please cite:
- Original IEMOCAP: Busso et al. (2008)
- Curriculum learning approach: Lotfian & Busso (2019)
- Original dataset: cairocode/IEMO_WAV_Diff_2
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