Datasets:
cairocode
/
MSP_POD_NLP

Dataset card Data Studio Files
xet
 Community
2
text
stringlengths
0
353
EmoClass
stringclasses
10 values
EmoAct
float64
1
7
EmoVal
float64
1
7
EmoDom
float64
1
7
SpkrID
stringlengths
1
7
Gender
stringclasses
3 values
this time the shutdown does not impact the arrival of international students.
N
5.2
4.6
4.8
1383
Male
news travel processes and remember that students are not permitted to quarantine in residence.
X
4.4
4.6
4.4
1383
Male
some sad news from the faculty of mathematics professor tom coleman...
N
4.2
2.8
4.4
1383
Male
dean of math from 2005 to 2010 and professor of combinatorics and optimization from 2005.
N
4.6
5
5.2
1383
Male
or wat risk, which i will say is one of my favorite university acronyms.
N
4.4
4.2
4.4
1383
Male
his most well known work was based on fundamental design and analysis of algorithms for trust region, methods in optimization.
X
5.2
5
5.4
1383
Male
armor and present colleagues and friends.
H
3.2
4.6
4.8
1383
Male
concept has an interview with john on their website that outlines his vision for the future of student innovation at waterloo.
H
4.8
4.4
5.2
1383
Male
acting and taking responsibility in the anti-racist movement.
N
4.6
4
4.6
1383
Male
two s lgbtq+ fundamentals and radical solidarity for a collective future.
X
4.4
5
4.6
1383
Male
intermediate or advanced. we'll put the link to the full spring calendar in our show notes.
N
5
4.8
5.2
1383
Male
and the reason i bring that up is because the alumni happy hour box is back with a refreshing summer twist. so you can crack open a cold one.
H
5
5.4
4.8
1383
Male
hard patio or wherever you can enjoy the weather because the happy hour box has everything you need to keep your beverages cold, your...
X
4.2
4.2
4.2
1383
Male
toronto agency that partners with brewers to offer renowned beverages to ontario beer lovers.
H
4.6
5
5.2
1383
Male
as chris godard, who credits his theater and performance degree with helping him become not only an actor...
H
4.8
5.2
5.2
1383
Male
but a good listener and an adaptive risk taker.
X
4.4
5
5
1383
Male
skills that are proven useful on an off the stage.
H
4.8
5.2
5.2
1383
Male
both boxes include two 20 ounce waterloo alumni travel tumblers, which are double walled in...
H
4.8
5.2
4.6
1383
Male
alcoholic or non-alcoholic beverages for your enjoyment.
H
3.6
4.2
4
1383
Male
what about snacks? i need snacks or it's not happy hour for me.
N
4
4
4.4
1383
Male
i love snacks. i even love the word snacks.
H
4.6
5.4
4.6
1383
Male
alumni can order their box today and you'll get it in time to celebrate alumni weekend on june 4th and 5th.
X
5
4.8
5
1383
Male
oh, i love salty and sweet things.
H
4.8
4.8
4.2
1383
Male
waterloo faculty and staff are invited to a virtual return to campus town hall on tuesday.
H
4.6
5.2
4.4
1383
Male
academic and provost james rush outline the university's plans to expand in-person experiences for many more of our students this fall.
H
5.6
5.4
5.4
1383
Male
and ways the university is preparing to invite more employees back to campus to support waterloo academic mission.
H
4.8
5
5.6
1383
Male
event. attendees can take part in a live q&a following the leaders presentation using...
X
4.8
4.4
5.4
1383
Male
this episode will feature a repeat broadcast of our recent interview with professor kelly grandrod from the school of pharmacy.
H
5
4.6
5
1383
Male
our next guest has provided important information to government and public health officials to help them make informed decisions.
H
5.4
5.2
5.2
1383
Male
in layman's terms, what is computer modeling?
H
4.4
4.8
5.6
1383
Male
for example, is a great example of a model.
N
3.4
4
3.8
1383
Male
important features of real world systems that we're interested in understanding better.
X
4.4
4.6
3.8
1383
Male
well, it seems like there are so many variables though in...
X
5
5
5.2
1383
Male
things that can affect an outcome.
X
3.8
3.6
4.6
1383
Male
how do you take that into account when you're dealing with a transmissible disease?
O
4
4.2
4.4
1383
Male
then, you also have to systematically assess the impact of uncertainties.
N
3.8
3.8
4.4
1383
Male
for example, if you are less certain about the probability of mortality or the probability of getting infected-
X
3.8
4
4
1383
Male
... according to the models. so, we provide information to help the government and to help the population in general and-
N
3.8
3.8
3.8
1383
Male
... that wave is going to peak and exactly how many cases you'll have.
N
3.8
3.4
4
1383
Male
for example, we predicted back last summer that ontario would have a second wave followed very rapidly by a third wave.
N
3.8
2.4
4
1383
Male
... back in august when we were just coming out the first wave. our-
X
3.2
4
3.6
1383
Male
they can be qualitatively accurate over longer time scales, as-
X
4.6
4.2
4
1383
Male
... as that example illustrates. they can also be quantitatively accurate over shorter time scales-
N
4
4.8
4.2
1383
Male
... maybe a couple of weeks to a month.
N
4.2
3.6
3.6
1383
Male
why did you decide to model the things that you modeled?
X
4.8
3.4
5.2
1383
Male
we chose our models based on questions that were on many people's mind-
X
4.6
4.6
4
1383
Male
... things that are on the minds of the public and-
N
4.6
4.4
4
1383
Male
are you specifically looking at age or just who should get it?
C
5
3.2
5.2
1383
Male
... in 2021. then, you can prevent the most deaths by vaccinating the elderly first.
N
3.8
3.4
4.6
1383
Male
it would have made sense to vaccinate uniformally.
S
3.4
2.8
4.2
1383
Male
... january in ontario. our results supported the approach that the government used of prioritizing the elderly first and then going to other age groups.
S
3.4
3.2
3.6
1383
Male
... 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-
X
4.4
4.2
4.4
1383
Male
... for instance. so, there's some things that are just beyond your control.
C
5
4
5
1383
Male
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.
N
4.8
3.4
4.2
1383
Male
that's a good example of using your understanding of how academics work in order to interpret these modeling results.
H
4.2
4.8
4.8
1383
Male
... [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-
X
3.2
3.4
4.2
1383
Male
... waves, you can prevent more deaths by building up your herd protection to actually stop future waves. so-
X
4.6
3.8
4.4
1383
Male
... alert and other contact tracing apps.
X
4
3.6
4.2
1383
Male
well, maybe we could modify the functioning of these apps so that they can also tell you-
N
4.4
3.4
3.6
1383
Male
we found that-
X
4.8
3.6
3.4
1383
Male
you can actually reduce transmission very effective-
X
3.8
3.4
4
1383
Male
that's a great way to get the transmission itself under control, but-
N
3
4.6
4.2
1383
Male
so, it's not just about minimizing cases and [inaudible 00:03:13]-
N
3.8
3.6
4.2
1383
Male
... 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-
H
5.2
5.4
4.8
1383
Male
... have received their second doses of the vaccines-
X
4.6
4.8
4.6
1383
Male
... restrictions could lighten up. what do you think of these new models? do-
X
4
4.8
4.6
1383
Male
this makes sense to me, and this is consistent with the outputs that our models have been producing.
X
3.4
3.8
4.2
1383
Male
i think in ontario, we might have flattened the curve if-
N
3.6
4.6
4
1383
Male
if we can get those numbers vaccinated, it-
H
3.6
4.4
3.8
1383
Male
this would indeed allow us to lift up the restrictions.
N
4.4
3.6
4
1383
Male
then, they'll have a much lower percentage vaccinated that they need.
X
3.2
3.2
3.6
1383
Male
that's just the average, and it'll be a bit higher or lower depending upon the local circumstances.
N
3.4
4
4.4
1383
Male
i see admissions, hospitalizations, and those things will all start to decline because of the vaccine program. i-
X
3.4
3.4
4
1383
Male
i think that 75% number is really looking ahead towards-
H
4.2
4.6
4.6
1383
Male
... and even vaccinating children, it will start to happen because they're doing clinical trials in children now.
N
3.8
3.8
3.2
1383
Male
if there's too much vaccine hesitancy, then-
S
3.6
2.8
4.6
1383
Male
yes. yeah. so, with the variance of concern, we've included-
N
2.6
3.4
3.8
1383
Male
this b.1.1.7 variant is perhaps the biggest variant of concern because it's so transmissible.
X
4.2
3
4
1383
Male
also, it seems to be more serious in terms of the infection-
X
3.4
3.4
3.6
1383
Male
... but we're already kind of dealing with b.1.1.7-
X
2.6
3.2
3.4
1383
Male
... 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-
O
4
3.8
3.8
1383
Male
... instead of flattening the curve. despite uncertainties in the exact number of cases and exact death rate, what-
X
3.6
3
3.4
1383
Male
... but all that uncertainty if you reduce contact, if-
X
3.4
3.4
3.6
1383
Male
... instrumental in saving tens of thousands of lives in ontario alone back in march, 2020.
H
3.8
5.4
5
1383
Male
... projections. a great example of why that's important is-
X
4.2
2.8
4
1383
Male
... is the power of exponential growth. i can illustrate that with a story about a king.
X
4
4.8
4.2
1383
Male
he wished to reward this advisor for his years of service.
X
2.6
3.4
3.6
1383
Male
... advisor who is very canny and good at math.
X
4.2
3.8
4.4
1383
Male
so, four grains of rice from the third square and then eight, six-
X
2.6
3.8
3.4
1383
Male
... and three, two, etc. and then just give me all that rice, and i'll take that as payment. the king said, "what-"
N
3.4
4.8
4.2
1383
Male
... 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.
X
4.2
3.8
4
1383
Male
that illustrates the power of things that multiply themselves.
N
3.8
4.2
4
1383
Male
each infected person will infect around two and a half other persons on average.
X
4
2.8
4.2
1383
Male
this is one mistake that many public health authorities around the world have made again and again.
X
4.2
3
4.2
1383
Male
... that they don't look forward far enough in advance to avert that outcome.
S
3.8
2.6
3.6
1383
Male
that's how countries like new zealand and china have been able to do it more quite successfully is by acting sooner, acting-
X
3.6
4
4
1383
Male
we have all the data from the last year that we can use to improve the model and make sure it's realistic.
X
3.8
4.2
3.8
1383
Male
okay. well, what happens if we adjust the model so that we didn't lock down?
X
3.6
3.2
4.4
1383
Male
.. lock down. our results are showing that, if we hadn't locked down, it-
X
3.6
3.4
3.6
1383
Male
so, that shows that the lockdown had a huge impact in saving lots of lives in ontario.
X
3.2
4.8
4.4
1383
Male