EmoClass stringclasses 10
values | EmoAct float64 1 7 | EmoVal float64 1 7 | EmoDom float64 1 7 | SpkrID int64 1 3.33k | Gender stringclasses 2
values | Split_Set stringclasses 2
values | transcript stringlengths 1 353 ⌀ | emotion2vec_features listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|
N | 3.4 | 3.8 | 3.4 | 1,406 | Female | Train | yeah. i think that that's where you and i are really, you know- | [
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H | 3.8 | 3.6 | 3.6 | 1,406 | Female | Train | in agreement. like i think that the answer to the problems with facebook can't be that we make facebook more powerful. | [
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N | 3.6 | 3.4 | 3.2 | 1,406 | Female | Train | and, you know, i think there's a role for regulation- | [
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H | 3.4 | 4 | 3.4 | 1,406 | Female | Train | but, i think that the regulation needs to be aimed at fostering competition rather than- | [
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N | 4 | 3.6 | 3.2 | 1,406 | Female | Train | again, kind of- | [
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N | 3.2 | 3.4 | 3.4 | 1,406 | Female | Train | something that really ends up empowering them. and, you know, we have a long- | [
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H | 3.8 | 3.4 | 4 | 1,406 | Female | Train | history in the united states of capturing of agencies, right?yeah. | [
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N | 3.8 | 3.6 | 3.4 | 1,406 | Female | Train | like, the fcc right now i think is pretty captured by the- | [
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N | 3.6 | 3.6 | 3.4 | 1,406 | Female | Train | by the two, you know, the telecommunications companies-sure.and- | [
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N | 3.4 | 3.4 | 3.6 | 1,406 | Female | Train | you know, i think agent pie is exhibit a, for regulatory- | [
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F | 3 | 3.2 | 2 | 1,406 | Female | Train | capture. so, that doesn't mean that- | [
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N | 3.4 | 3.6 | 3.6 | 1,406 | Female | Train | regulation has no role, but it does mean that we need to think carefully about it- | [
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N | 4 | 4.2 | 4.4 | 1,406 | Female | Train | and make sure that the goal of the regulation is to make- | [
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H | 3.6 | 3.8 | 3.4 | 1,406 | Female | Train | i'd like to see a little privacy protection along there, too.sure.so, but i think that- | [
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F | 2.2 | 3.6 | 1.8 | 1,406 | Female | Train | that has to be like, it can't just be anything that makes facebook unhappy makes me happy.right. | [
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N | 1.6 | 3.2 | 1.4 | 1,406 | Female | Train | because a lot of the concern is that these things are, you know, a- | [
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H | 3.4 | 3.6 | 3.2 | 1,406 | Female | Train | there's a lot of other people who get hurt by some of those things. and b, many of those things will, you know, the boomerang effect- | [
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H | 3.6 | 3.6 | 3.2 | 1,406 | Female | Train | is really strong and can be really hard to see sometimes, unless you've lived through it.yeah. | [
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N | 3.2 | 3.4 | 3.8 | 1,406 | Female | Train | yeah. i mean that, you know, i just think that the big company- | [
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H | 3.6 | 3.4 | 3.4 | 1,406 | Female | Train | i don't know. i mean, that's just like, i really think that you have to look at what's being said. | [
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N | 3.4 | 3.6 | 3.8 | 1,406 | Female | Train | otherwise, you know, i think that can really lead- | [
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H | 3.6 | 3.6 | 4 | 1,406 | Female | Train | like talk to sex workers about how well they- | [
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H | 3.6 | 3.6 | 3.8 | 1,406 | Female | Train | they think that's gone because they were supposed to be the ones who were protected by it.right. | [
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H | 3 | 3.6 | 3.8 | 1,406 | Female | Train | and, and, and, you know, the fact that- | [
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F | 2.8 | 3.4 | 2.4 | 1,406 | Female | Train | the tech comp- you know, i mean, again, and the other piece about this is the tech companies are not going to- | [
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H | 3.8 | 3.2 | 3.4 | 1,406 | Female | Train | they don't, you know, i joke sometimes that- | [
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H | 3.2 | 3.4 | 3.4 | 1,406 | Female | Train | we didn't, in many of these battles that we have- | [
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N | 3.4 | 3.8 | 3.4 | 1,406 | Female | Train | we didn't leave the tech companies, the tech companies left us.yeah. | [
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H | 3.8 | 3.6 | 3.4 | 1,406 | Female | Train | yeah. well, yeah.so it might have been their talking points at 10- | [
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N | 3.6 | 3.6 | 3.6 | 1,406 | Female | Train | years ago, but you should look at what they're saying today about a lot of these things. | [
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N | 3.8 | 3.4 | 3.6 | 1,406 | Female | Train | i mean, i think there's a lot of legacy stuff that people want to, that i hear brought up in these conversations that are really based- | [
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H | 3.4 | 3.6 | 3.8 | 1,406 | Female | Train | on, you know, something, not on what's going on right now with some of these big tech companies- | [
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N | 3.6 | 3.6 | 3.2 | 1,406 | Female | Train | you know, sergey brin said a decade ago.yeah. | [
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H | 6.4 | 5.6 | 6.2 | 1,406 | Female | Train | you know, some people, like, i can't see if, if mark zuckerberg says one more time about how he built the thing in his dorm room, i'll scream, right? so- | [
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U | 5.8 | 5.6 | 5.4 | 1,406 | Female | Train | dad, my big brother, about whether he should cut his hair. like, can we get past this- | [
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N | 3.2 | 3.6 | 3.4 | 1,406 | Female | Train | the reason why i wanted to talk about optimism is because it's so- | [
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H | 3.8 | 3.6 | 3.8 | 1,406 | Female | Train | not in my wheelhouse, right? i am so good at telling people all the way things could go wrong- | [
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H | 5.8 | 5.4 | 6.2 | 1,406 | Female | Train | so, i appreciate you making me shift because this is not- | [
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S | 1.6 | 3.2 | 1.4 | 1,406 | Female | Train | oh, my normal position is to really focus on where things are- | [
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N | 3.6 | 3.2 | 3.4 | 1,406 | Female | Train | well, i guess that the way that i think about it is a little, i mean, i don't know that i'm optimistic. | [
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N | 3.6 | 3.6 | 3.6 | 1,406 | Female | Train | i mean, i'm definitely a naturally optimistic person. i think that the thing- | [
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S | 1.8 | 2.6 | 1.4 | 1,406 | Female | Train | what would a society look like that we could be optimistic about? and to me, the thing that came up over and over again, when, i kind of was talking- | [
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N | 3.2 | 3.6 | 3.2 | 1,406 | Female | Train | about this was, user control. you know, putting- | [
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H | 3.8 | 3.8 | 3.6 | 1,406 | Female | Train | their license agreements, all the things that stop people from being able to build on the tools that they have and build better- | [
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A | 5.833333 | 2 | 6.833333 | 1,406 | Female | Train | oh and, it's on the front pages of the papers all the time, and all this thing though but, the way that- | [
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H | 3.2 | 3.8 | 3.2 | 1,406 | Female | Train | the media covers tech, seems to be about the big tech companies, all the- | [
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H | 3.6 | 3.4 | 3.4 | 1,406 | Female | Train | time, right? you get reporters and their beat is google, or their beat, it's apple. and what they don't see is all the stuff that's happening in between.yes.and all this- | [
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A | 5.625 | 2.375 | 6 | 1,406 | Female | Train | people are just despairing that they could have any world other than the one that we-yeah.have today. | [
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H | 3.4 | 3 | 3.2 | 1,406 | Female | Train | is because they're kind of only the attention- | [
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N | 3.6 | 3.6 | 3.4 | 1,406 | Female | Train | ...big tech, isn't all tech.yeah.in fact, there's tons and tons of people who are trying to still build- | [
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H | 3.4 | 3.6 | 3.8 | 1,406 | Female | Train | ...and, we just need to get the obstacles out of their way. there's plenty of- | [
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X | 3.6 | 3.6 | 4 | 1,406 | Female | Train | ...people who want to build this world. there's plenty of people who- | [
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H | 6 | 5.4 | 5.4 | 1,406 | Female | Train | ... kind of my responsibility and my job is to try to get as many- | [
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H | 3.6 | 3.6 | 3.6 | 1,406 | Female | Train | ...it would be really interesting to think about- | [
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H | 3.8 | 3.4 | 3.8 | 1,406 | Female | Train | ...that have to be... i think brewster's done a really good job of- | [
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U | 6 | 5.666667 | 5.333333 | 1,406 | Female | Train | ...beginning to try to create a community so that people don't feel like they're all alone.yeah. | [
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N | 3 | 3.4 | 3.8 | 1,406 | Female | Train | ...in doing this and begin to kind of- | [
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H | 5.8 | 5.6 | 6.2 | 1,406 | Female | Train | ...i love my free and open source community people, but- | [
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N | 3.8 | 3.6 | 3.8 | 1,406 | Female | Train | ... like user interfaces, you got to make sure that you're making stuff that anybody can use. | [
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N | 3.4 | 3.6 | 3.8 | 1,406 | Female | Train | yeah.and then, there's all sorts of places where there's great work to be done. and, you know, that's kind- | [
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H | 3.4 | 3.2 | 3.8 | 1,406 | Female | Train | ...space and create that ability. again, i- | [
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N | 3.8 | 3.4 | 3.6 | 1,406 | Female | Train | ...i think there's a hunger for it. and, i think most of the people who are saying that we're- | [
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A | 5.5 | 2 | 6.166667 | 1,406 | Female | Train | ... stuck here not people who think that this is a great world, but people who are feeling despair.yeah.and- | [
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N | 3.4 | 3.2 | 3.6 | 1,406 | Female | Train | ...that's sad, but it also means there's space to move.yeah. | [
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H | 3.4 | 3.8 | 3.4 | 1,406 | Female | Train | and, whether somebody who's a builder or a policy person, or just a user, begin to play around with this kind of stuff and see what there is to do. and of- | [
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N | 3 | 3.2 | 3.6 | 1,406 | Female | Train | ...course, support people like mike and people like- | [
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N | 3.8 | 3.6 | 3.6 | 1,406 | Female | Train | ...beth, who are trying to do this. | [
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H | 5.8 | 5.6 | 5.8 | 1,406 | Female | Train | i'm the executive director. that's my job to say those things. | [
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H | 3.2 | 3.8 | 3.8 | 1,406 | Female | Train | but the community of people who are trying to make this happen are- | [
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N | 3 | 3.2 | 3.6 | 1,406 | Female | Train | ...we get supported because people think what we're doing is really important and they want to join in.yeah. | [
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H | 6 | 5.4 | 5.8 | 1,406 | Female | Train | oh yeah. i think you and i have far more capacity than our audience, but you so much for inviting me on, mike. i- | [
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N | 3.4 | 3.8 | 3.2 | 1,408 | Female | Train | ...think that's perfect though. we tend to characterize it as an incubator. so, out here in silicon valley, we have a tremendous amount of innovation, and a lot of that innovation runs- | [
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N | 1.6 | 2.8 | 1.8 | 1,408 | Female | Train | ...makers. i was working at uc berkeley at the time, and we had a tremendous number of people who were interested in taking their sort of technology research. we had- | [
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H | 3.4 | 3.8 | 3.4 | 1,408 | Female | Train | ...created an incubator that provides them with that opportunity and luckily pays them to do it.so, how does the program work? | [
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