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 |
|---|---|---|---|---|---|---|---|---|
S | 4 | 3.8 | 4.2 | 1,395 | Female | Train | is going to be very difficult moving forward even in a... i don't know- | [
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S | 4.2 | 4.6 | 4.6 | 1,395 | Female | Train | ... post vaccine environment with so many all you can eat buffets down for the count or otherwise closed across waterloo region. | [
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H | 4.6 | 5 | 5 | 1,395 | Female | Train | always did look forward to going to the university club at thanksgiving and at christmas time, and i hope that it makes a return under safer circumstances in the- | [
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S | 3.8 | 2.8 | 3.8 | 1,395 | Female | Train | honestly, i never ever was comfortable with buffets ever. | [
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X | 5 | 5 | 4.6 | 1,395 | Female | Train | well, i checked in with the good people who run the annual university christmas project and this year all 200 children from working poor families who'd been identified as needing- | [
{
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H | 4.4 | 5 | 4.2 | 1,395 | Female | Train | indeed, for those of you sponsoring a child this year- | [
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H | 4.8 | 4.8 | 4.6 | 1,395 | Female | Train | the organizers want to thank the university supports amazing support for families in waterloo region- | [
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N | 4 | 4.6 | 4 | 1,395 | Female | Train | ... particularly during a year when there is just so much need in our community. | [
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H | 4.6 | 4.6 | 4.8 | 1,395 | Female | Train | the agreements which are in effect from 2020 to 2025- | [
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H | 4.6 | 5.4 | 4.6 | 1,393 | Female | Train | ... introduced a new performance based funding model, including metrics on student and economic outcomes. | [
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N | 4.2 | 3.8 | 4 | 1,393 | Female | Train | a delay which has resulted from the covid19 pandemic. universities are not measured against other institutions, but- | [
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X | 4.2 | 5.2 | 4.6 | 1,395 | Female | Train | can still provide feedback on the proposed revisions to the policy via email until december 18th. | [
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"feats": [
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N | 5 | 4.6 | 5 | 1,395 | Female | Train | the pandemic, and what excites him about the future of mathematics. | [
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H | 4.4 | 5.2 | 4.8 | 1,395 | Female | Train | really, this has been an interesting time. as you know i was director of computer science. | [
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X | 3.8 | 3.2 | 3.8 | 1,395 | Female | Train | well, we've all gone online now- | [
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N | 4.6 | 4.4 | 4.6 | 1,395 | Female | Train | we do have a very large program. we rely on- | [
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X | 4.6 | 4.6 | 4.4 | 1,395 | Female | Train | ... [inaudible 00:07:48] intimate classes where we have a lot of interaction between faculty and students. and it was at the end of term, which means we had to get very quickly ready- | [
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H | 5 | 4.4 | 4.4 | 1,395 | Female | Train | ... for what for us is an extremely busy spring term. | [
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U | 4.6 | 4.8 | 4.8 | 1,395 | Female | Train | so unlike most universities across the country- | [
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H | 5.2 | 4.8 | 4.8 | 1,395 | Female | Train | ... and i think we're probably the largest at the university of waterloo. | [
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N | 4.4 | 4.6 | 4.8 | 1,395 | Female | Train | the spring terms are very large and very active. math rose is the- | [
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N | 5 | 4.6 | 4.6 | 1,393 | Female | Train | ... challenge. i mean the enormous and immediate challenge we delivered- | [
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N | 4.6 | 3.4 | 4 | 1,395 | Female | Train | ... i'll claim it was very good and i think it- | [
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O | 5 | 3.2 | 4.4 | 1,395 | Female | Train | ... i always think, "well, what are we going to come out with?" | [
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C | 4.8 | 3.2 | 5.2 | 1,395 | Female | Train | we operated in the past as perfect, but the professor in front of especially the large class, may not be the perfect mechanism. | [
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N | 5.2 | 3.2 | 4.4 | 1,395 | Female | Train | we've learned what hybrid delivery looks like. | [
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N | 4.4 | 4.4 | 4 | 1,393 | Female | Train | we've learned how to use online components in our courses. | [
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N | 3.4 | 4 | 4.4 | 1,393 | Female | Train | we've learned what modes of interactions will work- | [
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N | 5 | 4 | 5 | 1,393 | Female | Train | ... and that's an important positive in our response. | [
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O | 4.2 | 5 | 4.4 | 1,393 | Female | Train | this should inform things like the lifelong learning initiative that the university is embarking on. | [
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O | 5 | 3.4 | 5.2 | 1,393 | Female | Train | it should inform things like our already well developed- | [
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X | 5.2 | 4.2 | 4.4 | 1,393 | Female | Train | i think what the students have been coping with and faculty have been coping with is suddenly- | [
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X | 5.4 | 3.6 | 5 | 1,393 | Female | Train | ... and they're doing a full load and they're thinking about a program. | [
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X | 4.8 | 3.6 | 4.6 | 1,395 | Female | Train | i'm not just talking about reducing class sizes or putting everything online. | [
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X | 5.2 | 3.4 | 5.2 | 1,395 | Female | Train | i think structure is the structure to an entire program. | [
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X | 4.2 | 4.4 | 4.4 | 1,395 | Female | Train | the research on the... or even more, the going to a seminar, because you heard about this- | [
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X | 5.2 | 3.4 | 5 | 1,395 | Female | Train | ... club or something like that. that has been largely lost as- | [
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X | 4.8 | 4.2 | 4.2 | 1,395 | Female | Train | that's certainly been subdued over the past year. | [
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O | 5 | 2.8 | 5.2 | 1,395 | Female | Train | and i think that's a serious concern both for our academic health, | [
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N | 4.8 | 4.4 | 4.8 | 1,395 | Female | Train | the students especially, but also the faculty and staff at the university. | [
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O | 4.4 | 4.2 | 5.2 | 1,395 | Female | Train | these are challenges that universities around the world are facing. | [
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H | 5.2 | 4.4 | 5.2 | 1,395 | Female | Train | the faculty of math on all fronts has been doing extremely well. | [
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N | 5.2 | 4.4 | 5.2 | 1,395 | Female | Train | on a crude level this speaks very well to the quality of the research of the education we deliver in mathematics. | [
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N | 4 | 3.4 | 4.2 | 1,798 | Male | Development | it's not as waterloo defines it to include computer sciences, | [
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X | 5.2 | 4.4 | 4.4 | 1,798 | Male | Development | statistics, but in the more traditional field, we're in the top 50 in the world. | [
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H | 5.2 | 4.8 | 4 | 1,798 | Male | Development | i think another piece that is, | [
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S | 4.2 | 3.6 | 3.6 | 1,798 | Male | Development | another ranking maybe more focused on canadians. | [
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X | 4.4 | 4.8 | 5.2 | 1,395 | Female | Train | and i think this speaks to our research and i also think it speaks to our educational delivery to the programs that we deliver, because it's an incredibly powerful, | [
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N | 4.8 | 4.6 | 4.6 | 1,798 | Male | Development | set of programs. it speaks to a connection between computer science and statistics. | [
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N | 4 | 4.6 | 4.2 | 1,798 | Male | Development | and i think it means that our student, | [
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N | 4.2 | 4 | 4.8 | 1,395 | Female | Train | the students that graduate are extremely well prepared to deal, | [
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H | 5.2 | 5.4 | 5.4 | 1,395 | Female | Train | yeah. so that's something that i guess i've been thinking a lot of as i moved from being, | [
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N | 4.6 | 4.6 | 4.6 | 1,798 | Male | Development | i'll say a mathematical computer scientist to being, | [
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H | 5.2 | 4.4 | 5.2 | 1,798 | Male | Development | because it's not something i might have been able to speak to quite as, | [
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O | 4.2 | 4.4 | 4.8 | 1,798 | Male | Development | obviously 10, 15 years ago. i think the fields have converged in a way that makes me personally very happy. but, | [
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H | 4.4 | 4.4 | 3.8 | 1,798 | Male | Development | i think it's very much aligning these areas. | [
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X | 4.2 | 3.8 | 4.6 | 1,798 | Male | Development | things like ai, machine learning and data science, | [
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A | 4.6 | 3.2 | 4.8 | 1,798 | Male | Development | past 10, 15 years, not to mention the previous 20. | [
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C | 5.4 | 3.2 | 5.4 | 1,798 | Male | Development | and the researchers very much in all those departments, there could be people who are in the other department, | [
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N | 4.6 | 3.6 | 4.8 | 1,395 | Female | Train | and so talking to each other, and if anything, | [
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X | 5.2 | 4.2 | 5.6 | 1,798 | Male | Development | i would like to do is to try to make that a tighter and more natural connection and not something that's just artificial because of some [inaudible 00:02:23], | [
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H | 4 | 4.6 | 4.4 | 1,798 | Male | Development | i think it's something that really is in the air right now. | [
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A | 4.6 | 2.8 | 5.4 | 1,798 | Male | Development | it affects the work that i'm doing. | [
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O | 4.6 | 4.4 | 4 | 1,798 | Male | Development | it is important that we are co-located or continuously located. | [
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O | 4.2 | 4.2 | 4.2 | 1,798 | Male | Development | one of the things that i'm working towards in our planning going forward, is that we are very deeply connected and that the pathways are there. | [
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H | 4.8 | 4.8 | 4.8 | 1,395 | Female | Train | those connections are there. you might as well encourage them, | [
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N | 4.6 | 3.8 | 4.8 | 1,798 | Male | Development | like with environment or art. | [
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U | 4.6 | 5.2 | 4.8 | 1,798 | Male | Development | in applied math we have people in statistics who are doing biostatistics and statistical modeling of, | [
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X | 4.8 | 4.4 | 4.4 | 1,798 | Male | Development | are very relevant to covid research, | [
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X | 4.8 | 3.8 | 4.6 | 1,798 | Male | Development | we'll find members of the school of computer science, applied mathematics and statistics all prominent from waterloo, | [
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H | 4.6 | 4.8 | 5 | 1,798 | Male | Development | was informing our discussions and making advances that will hopefully bring this all to an end. | [
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N | 4.4 | 4.6 | 4.2 | 1,798 | Male | Development | connections with arts. i mean everything we do it seems that, | [
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O | 4.4 | 4.6 | 5 | 1,798 | Male | Development | and yet most of us are not computer scientists, and we interact with machines socially, | [
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X | 5 | 3.4 | 5 | 1,395 | Female | Train | through all things which we're now relying on, whether we're technically adept or not. | [
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A | 3.8 | 3.4 | 4.8 | 1,798 | Male | Development | we're now relying on every day in our social interactions. | [
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O | 4.8 | 4.6 | 5.2 | 1,798 | Male | Development | what is going on in math that excites you the most? | [
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H | 5 | 4.8 | 5 | 1,798 | Male | Development | yeah, i guess one of the things that excites me is the connections between the fields, | [
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H | 4.4 | 5 | 4.2 | 1,798 | Male | Development | pieces. that one really excites me. | [
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N | 3.2 | 3.6 | 3.4 | 1,395 | Female | Train | i think work in computer security and privacy. | [
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X | 4.4 | 4.6 | 4.2 | 1,798 | Male | Development | this is work where the best work is being done in the university. | [
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X | 4.8 | 4.2 | 4.4 | 1,798 | Male | Development | but let me talk a little bit about maybe data being the broad theme here, and the ability of mathematics, | [
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H | 4.8 | 4.2 | 4.6 | 1,798 | Male | Development | i'll say the defining entity in our society for the last 20 years, if not longer. | [
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N | 4.4 | 4.4 | 4.6 | 1,798 | Male | Development | and i think the place in the academy and probably in society that is best suited to do this. | [
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N | 5.2 | 4.6 | 5 | 1,798 | Male | Development | is a faculty of mathematics, one that includes statistics and computer science, because it has the tools. so it also, when i look to the... | [
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H | 4.6 | 4.6 | 4.6 | 1,395 | Female | Train | and i know that one of the advantages of being a director of computer science and being a unit head in math for so many years. | [
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... |
S | 4.6 | 3.2 | 4.6 | 1,798 | Male | Development | and so that was something important for me to find. | [
{
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X | 5 | 3.6 | 5.2 | 1,798 | Male | Development | and i also think it was something that if we're moving forward and we look to these common themes to build on, | [
{
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X | 4.8 | 4.8 | 4.4 | 1,798 | Male | Development | we've been searching them out as we go forward with the mathematics strategic plan, | [
{
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X | 5.2 | 4 | 4.8 | 1,798 | Male | Development | at a data science institute, which will define how, | [
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N | 4.6 | 4.8 | 4.8 | 1,395 | Female | Train | it will give a cross sectional view of data across the university and allow us to interact, | [
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N | 5.4 | 4.6 | 5.6 | 1,395 | Female | Train | across these artificial barriers that we build up in the university. | [
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X | 5.6 | 4 | 4.2 | 1,798 | Male | Development | so there's a plan at the institutional level called the digital futures strategy. | [
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O | 5 | 3.4 | 4.8 | 1,798 | Male | Development | and within that is the data science institute that i certainly am crossing my fingers that we, | [
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O | 4.4 | 5 | 4.6 | 1,395 | Female | Train | can go forward with in the near future. | [
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H | 4.4 | 5 | 4.4 | 1,395 | Female | Train | it's a very effective umbrella to allow for communication on things like, | [
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... |
N | 4.6 | 4.2 | 4.6 | 1,393 | Female | Train | .. another piece of this is, | [
{
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... |
N | 4 | 4 | 4.6 | 1,393 | Female | Train | being a research program. research is something where we work with colleagues and we work with colleagues that we're approximate to that we can interact with, | [
{
"feats": [
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... |
X | 3.6 | 4.8 | 4 | 1,393 | Female | Train | all over the world, and waterloo brings those people together under one roof. | [
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O | 5 | 3.6 | 5.6 | 1,393 | Female | Train | at an institute, where would that even be? | [
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S | 4.4 | 4.4 | 4.6 | 1,393 | Female | Train | and honestly, when it came to the entrepreneurial space, which, | [
{
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... |
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