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 | 4.2 | 3.6 | 3.6 | 1,383 | Male | Train | ... maybe a couple of weeks to a month. | [
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X | 4.8 | 3.4 | 5.2 | 1,383 | Male | Train | why did you decide to model the things that you modeled? | [
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X | 4.6 | 4.6 | 4 | 1,383 | Male | Train | we chose our models based on questions that were on many people's mind- | [
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N | 4.6 | 4.4 | 4 | 1,383 | Male | Train | ... things that are on the minds of the public and- | [
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C | 5 | 3.2 | 5.2 | 1,383 | Male | Train | are you specifically looking at age or just who should get it? | [
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N | 3.8 | 3.4 | 4.6 | 1,383 | Male | Train | ... in 2021. then, you can prevent the most deaths by vaccinating the elderly first. | [
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S | 3.4 | 2.8 | 4.2 | 1,383 | Male | Train | it would have made sense to vaccinate uniformally. | [
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S | 3.4 | 3.2 | 3.6 | 1,383 | Male | Train | ... january in ontario. our results supported the approach that the government used of prioritizing the elderly first and then going to other age groups. | [
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X | 4.4 | 4.2 | 4.4 | 1,383 | Male | Train | ... got to be difficult because you also didn't know that there was going to be a big contamination at the johnson & johnson factory for- | [
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C | 5 | 4 | 5 | 1,383 | Male | Train | ... for instance. so, there's some things that are just beyond your control. | [
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N | 4.8 | 3.4 | 4.2 | 1,383 | Male | Train | if the numbers are actually outside of that range, maybe higher than we allowed for or lower than we allowed for, then those projections don't apply. | [
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H | 4.2 | 4.8 | 4.8 | 1,383 | Male | Train | that's a good example of using your understanding of how academics work in order to interpret these modeling results. | [
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X | 3.2 | 3.4 | 4.2 | 1,383 | Male | Train | ... [inaudible 00:02:22] first, even if you have a relatively high vaccination rate because, in the middle of a wave, you can prevent more deaths by protecting the vulnerable, and in between waves- | [
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X | 4.6 | 3.8 | 4.4 | 1,383 | Male | Train | ... waves, you can prevent more deaths by building up your herd protection to actually stop future waves. so- | [
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X | 4 | 3.6 | 4.2 | 1,383 | Male | Train | ... alert and other contact tracing apps. | [
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N | 4.4 | 3.4 | 3.6 | 1,383 | Male | Train | well, maybe we could modify the functioning of these apps so that they can also tell you- | [
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X | 4.8 | 3.6 | 3.4 | 1,383 | Male | Train | we found that- | [
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X | 3.8 | 3.4 | 4 | 1,383 | Male | Train | you can actually reduce transmission very effective- | [
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N | 3 | 4.6 | 4.2 | 1,383 | Male | Train | that's a great way to get the transmission itself under control, but- | [
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N | 3.8 | 3.6 | 4.2 | 1,383 | Male | Train | so, it's not just about minimizing cases and [inaudible 00:03:13]- | [
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H | 5.2 | 5.4 | 4.8 | 1,383 | Male | Train | ... indicated that the latest modeling that you weren't involved in actually says that the number of new cases could start to go down in may. to- | [
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X | 4.6 | 4.8 | 4.6 | 1,383 | Male | Train | ... have received their second doses of the vaccines- | [
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X | 4 | 4.8 | 4.6 | 1,383 | Male | Train | ... restrictions could lighten up. what do you think of these new models? do- | [
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X | 3.4 | 3.8 | 4.2 | 1,383 | Male | Train | this makes sense to me, and this is consistent with the outputs that our models have been producing. | [
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N | 3.6 | 4.6 | 4 | 1,383 | Male | Train | i think in ontario, we might have flattened the curve if- | [
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H | 3.6 | 4.4 | 3.8 | 1,383 | Male | Train | if we can get those numbers vaccinated, it- | [
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N | 4.4 | 3.6 | 4 | 1,383 | Male | Train | this would indeed allow us to lift up the restrictions. | [
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X | 3.2 | 3.2 | 3.6 | 1,383 | Male | Train | then, they'll have a much lower percentage vaccinated that they need. | [
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N | 3.4 | 4 | 4.4 | 1,383 | Male | Train | that's just the average, and it'll be a bit higher or lower depending upon the local circumstances. | [
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X | 3.4 | 3.4 | 4 | 1,383 | Male | Train | i see admissions, hospitalizations, and those things will all start to decline because of the vaccine program. i- | [
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H | 4.2 | 4.6 | 4.6 | 1,383 | Male | Train | i think that 75% number is really looking ahead towards- | [
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N | 3.8 | 3.8 | 3.2 | 1,383 | Male | Train | ... and even vaccinating children, it will start to happen because they're doing clinical trials in children now. | [
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S | 3.6 | 2.8 | 4.6 | 1,383 | Male | Train | if there's too much vaccine hesitancy, then- | [
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N | 2.6 | 3.4 | 3.8 | 1,383 | Male | Train | yes. yeah. so, with the variance of concern, we've included- | [
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X | 4.2 | 3 | 4 | 1,383 | Male | Train | this b.1.1.7 variant is perhaps the biggest variant of concern because it's so transmissible. | [
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X | 3.4 | 3.4 | 3.6 | 1,383 | Male | Train | also, it seems to be more serious in terms of the infection- | [
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X | 2.6 | 3.2 | 3.4 | 1,383 | Male | Train | ... but we're already kind of dealing with b.1.1.7- | [
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O | 4 | 3.8 | 3.8 | 1,383 | Male | Train | ... think. even for the longer term, what the models can do is, even though they're not perfect crystal balls that can tell you everything, they can give you important- | [
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X | 3.6 | 3 | 3.4 | 1,383 | Male | Train | ... instead of flattening the curve. despite uncertainties in the exact number of cases and exact death rate, what- | [
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X | 3.4 | 3.4 | 3.6 | 1,383 | Male | Train | ... but all that uncertainty if you reduce contact, if- | [
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H | 3.8 | 5.4 | 5 | 1,383 | Male | Train | ... instrumental in saving tens of thousands of lives in ontario alone back in march, 2020. | [
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X | 4.2 | 2.8 | 4 | 1,383 | Male | Train | ... projections. a great example of why that's important is- | [
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X | 4 | 4.8 | 4.2 | 1,383 | Male | Train | ... is the power of exponential growth. i can illustrate that with a story about a king. | [
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X | 2.6 | 3.4 | 3.6 | 1,383 | Male | Train | he wished to reward this advisor for his years of service. | [
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X | 4.2 | 3.8 | 4.4 | 1,383 | Male | Train | ... advisor who is very canny and good at math. | [
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X | 2.6 | 3.8 | 3.4 | 1,383 | Male | Train | so, four grains of rice from the third square and then eight, six- | [
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N | 3.4 | 4.8 | 4.2 | 1,383 | Male | Train | ... and three, two, etc. and then just give me all that rice, and i'll take that as payment. the king said, "what-" | [
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X | 4.2 | 3.8 | 4 | 1,383 | Male | Train | ... do that. so, he started putting the rice grains down, and then he quickly realized that he didn't have enough rice in the entire kingdom to satisfy the request. | [
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N | 3.8 | 4.2 | 4 | 1,383 | Male | Train | that illustrates the power of things that multiply themselves. | [
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X | 4 | 2.8 | 4.2 | 1,383 | Male | Train | each infected person will infect around two and a half other persons on average. | [
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X | 4.2 | 3 | 4.2 | 1,383 | Male | Train | this is one mistake that many public health authorities around the world have made again and again. | [
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S | 3.8 | 2.6 | 3.6 | 1,383 | Male | Train | ... that they don't look forward far enough in advance to avert that outcome. | [
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X | 3.6 | 4 | 4 | 1,383 | Male | Train | that's how countries like new zealand and china have been able to do it more quite successfully is by acting sooner, acting- | [
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X | 3.8 | 4.2 | 3.8 | 1,383 | Male | Train | we have all the data from the last year that we can use to improve the model and make sure it's realistic. | [
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X | 3.6 | 3.2 | 4.4 | 1,383 | Male | Train | okay. well, what happens if we adjust the model so that we didn't lock down? | [
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X | 3.6 | 3.4 | 3.6 | 1,383 | Male | Train | .. lock down. our results are showing that, if we hadn't locked down, it- | [
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X | 3.2 | 4.8 | 4.4 | 1,383 | Male | Train | so, that shows that the lockdown had a huge impact in saving lots of lives in ontario. | [
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N | 4.4 | 3.2 | 4.4 | 1,383 | Male | Train | you don't really need lockdown because covid is just like the flu and people should just get it and get over it and- | [
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X | 3.8 | 4.2 | 3.6 | 1,383 | Male | Train | they were saving lives in the process. they were wanting to show this is how many lives collectively we were able to save through these efforts. | [
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F | 5 | 3.2 | 5.2 | 1,383 | Male | Train | right. i have to say that one of the scariest things about this pandemic for me has been the unknown. | [
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H | 4.8 | 5 | 5.2 | 1,383 | Male | Train | it's the things you can't see. so, having these models, and even though they're not predicting like the weather or something- | [
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X | 3.8 | 3.4 | 4.6 | 1,383 | Male | Train | as scary as those second and third waves are- | [
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X | 4 | 5 | 4.6 | 1,383 | Male | Train | ... it is sort of reassuring to know at least that it's coming as opposed to being- | [
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H | 5 | 4.6 | 5.2 | 1,383 | Male | Train | well, i know that the half an hour that's beyond the bulletin feels like longer. | [
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H | 5 | 5 | 5.2 | 1,383 | Male | Train | you are invited to submit a tribute by word, photos, and/or video. | [
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H | 5 | 5.6 | 5.4 | 1,383 | Male | Train | you can also browse some of the existing tributes, photo gallery, and page dedicated to giving in his honor. | [
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N | 5 | 5 | 5.4 | 1,383 | Male | Train | .. develop the new program dubbed we accelerate with industry partners, microsoft, deloitte, vidyard, desire to learn, and manual life as- | [
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H | 5.2 | 4.6 | 5.4 | 1,383 | Male | Train | .. the problem lab and the interdisciplinary center on climate change. | [
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H | 5 | 5.2 | 5.2 | 1,383 | Male | Train | .. facilitators, coaches, and mentors. some of these partners will work with students on real work projects. | [
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H | 5.2 | 5.6 | 5 | 1,383 | Male | Train | ... integrated learning opportunity and provides an alternative to a traditional co-op work term. | [
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H | 4.6 | 4.6 | 5.2 | 1,383 | Male | Train | oh, absolutely, the pressure of real world experience.mm-hmm. | [
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H | 4.8 | 5.4 | 5.6 | 1,383 | Male | Train | .. communications, video marketing, social media- | [
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H | 4.8 | 4.6 | 4.8 | 1,383 | Male | Train | ... project identification, analysis, and the development of innovation solutions. | [
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H | 5.6 | 5.8 | 5.4 | 1,383 | Male | Train | the we accelerate program will help students secure experience with team-based projects and will help them develop vital skills to navigate a complex future of work. | [
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H | 5 | 5.2 | 4.8 | 1,383 | Male | Train | this year's conference theme is learning through assessment, and the 2021 conference schedule is now available online. | [
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N | 4.6 | 4.4 | 4.6 | 1,383 | Male | Train | ... teaching and assessment and emerita professor at leeds beckett university and norm vaughn, professor in the department of education at mount royal university.the- | [
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H | 5 | 5.2 | 5.2 | 1,383 | Male | Train | .. plenary session called igniting our practice will feature three inspirational waterloo professors- | [
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H | 4.8 | 4.8 | 5.2 | 1,383 | Male | Train | ... robert hill and brenda lee from physics and veronica austin from english language and literature. | [
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H | 5 | 5.4 | 5.4 | 1,383 | Male | Train | they will be demonstrating a successful instructional approach to showcase some of the remote teaching happening on our campus. | [
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H | 4.4 | 4.8 | 4.8 | 1,383 | Male | Train | it strives to help bring increased prosperity and employment opportunities to indigenous communities. | [
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H | 4.8 | 5.4 | 5.4 | 1,383 | Male | Train | several of waterloo students are taking part. | [
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H | 4.4 | 4.6 | 4.8 | 1,383 | Male | Train | kiera lindsey is a student in social development studies at renison who- | [
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H | 3.4 | 5.2 | 4.6 | 1,383 | Male | Train | oh, it's going great. it started in the winter. | [
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N | 3 | 3.6 | 4.2 | 1,383 | Male | Train | ... how to start a business and kind of walked these indigenous students through- | [
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... |
N | 3.6 | 3.2 | 3.8 | 1,383 | Male | Train | we had monthly meetings where we would meet with them once a month over the course of three months. | [
{
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... |
N | 3.8 | 4 | 4.2 | 1,383 | Male | Train | to compete for a $3,000 financial award from the cohort. | [
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N | 3.4 | 4.6 | 4 | 1,383 | Male | Train | really bring their idea to life and so we noticed that with a lot of entrepreneurs not- | [
{
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X | 4.4 | 5 | 4.8 | 1,383 | Male | Train | i feel like $3,000 can really be the beginning of seed money. | [
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H | 3.6 | 5.6 | 4.6 | 1,383 | Male | Train | it can really help grow that business in the right direction. in- | [
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N | 4.2 | 4.4 | 4.2 | 1,383 | Male | Train | ... we noticed that $3,000 does go a long way if used in the right directions. | [
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H | 4.8 | 4.6 | 4.8 | 1,383 | Male | Train | you worked as the executive director for a nonprofit organization in utah dedicated to serving indigenous people there. | [
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X | 4.4 | 4.6 | 4.6 | 1,383 | Male | Train | which showcases the stories of successful small businesses led by indigenous youth and nonprofits across the united states. | [
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X | 4.2 | 5 | 4.6 | 1,383 | Male | Train | i wanted to be a part of this program because- | [
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X | 3 | 4.6 | 4.4 | 1,383 | Male | Train | ... i felt like i had learned things along my journey that i wanted to share with indigenous students to help them start their businesses and- | [
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N | 4.6 | 3.4 | 4.4 | 1,383 | Male | Train | i just felt like success is contagious and that we should- | [
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N | 3.8 | 4.2 | 4 | 1,383 | Male | Train | ... the greater indigenous folks that are out there. | [
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X | 3.4 | 3.8 | 4 | 1,383 | Male | Train | those channels that i participated in. | [
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... |
H | 5 | 5 | 5 | 1,383 | Male | Train | when i see the growth within myself- | [
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... |
X | 3 | 3.4 | 3.8 | 1,383 | Male | Train | ... even when you do mess up or when you don't get the contract signed that you wanted to do- | [
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... |
X | 3 | 3.6 | 3.8 | 1,383 | Male | Train | ... you take a look at what happened and then you fix it and then you improve it and then you continue on your journey. and so it's learned. | [
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... |
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