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Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3129.2
|
that evaluation script. And what we're going to pass here is we have all three. All three the
| 3,129.2 | 3,144.96 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3137.68
|
cross encoder the sentence transformer train using augmented expert and also a sentence
| 3,137.68 | 3,153.84 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3144.96
|
transformer trained purely on the gold data set. So first let's have a look at the STSB gold data
| 3,144.96 | 3,166.48 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3153.84
|
set trained model. So run this. It might take a moment to download it. Okay so everything's
| 3,153.84 | 3,175.76 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3166.48
|
downloaded and then we've got a score of 0.506. So it correlates to the predictions of the model
| 3,166.48 | 3,186.48 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3175.76
|
correlate to the actual scores with a 50% correlation. So they do correlate. It's not bad.
| 3,175.76 | 3,195.44 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3186.48
|
It's not great either. Let's have a look at the cross encoder. So again cross encoder.
| 3,186.48 | 3,205.12 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3197.28
|
Okay and we get score of 0.58. So as we would expect training on just the gold data
| 3,197.28 | 3,211.92 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3205.12
|
the cross encoder does outperform the the by encoder or sentence transformer. And the final
| 3,205.12 | 3,219.28 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3211.92
|
one would be okay with the augmented data how does the sentence transformer perform.
| 3,211.92 | 3,233.44 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3220.16
|
So let's run that again. Not a way to download. And we get a much better score of 0.69. So yeah
| 3,220.16 | 3,240.08 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3233.44
|
the correlation there is much higher than this for the augmented data set than if we had just
| 3,233.44 | 3,246.08 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3240.08
|
used a gold data set. So it really really has improved the performance a lot. Now this is
| 3,240.08 | 3,254.08 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3246.88
|
maybe an atypical performance increase. It's something like 90% or 19 point increase in
| 3,246.88 | 3,261.52 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3254.64
|
performance and that's good. But if you look at the the original paper from Nils Reimers and Co.
| 3,254.64 | 3,270.72 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3261.52
|
they found a sort of expected performance increase of I believe seven or nine points.
| 3,261.52 | 3,277.68 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3271.36
|
So this is definitely pretty significant. This is definitely a bit more than that. But I think it
| 3,271.36 | 3,285.76 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3277.68
|
goes to show how good these models or this training strategy can actually be. So that's it
| 3,277.68 | 3,297.04 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3285.76
|
for this video. I hope this has been useful and I hope this helps a few of you kind of overcome the
| 3,285.76 | 3,304.24 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3297.0400000000004
|
sometimes lack of data that we find in I think a lot of our particular use cases.
| 3,297.04 | 3,318 |
Making The Most of Data: Augmented SBERT
|
2021-12-17 14:24:40 UTC
|
https://youtu.be/3IPCEeh4xTg
|
3IPCEeh4xTg
|
UCv83tO5cePwHMt1952IVVHw
|
3IPCEeh4xTg-t3304.24
| 3,304.24 | 3,318 |
|
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t0.0
|
Hi and welcome to this video where we are going to go through setting up and using the Kaggle API.
| 0 | 15 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t8.0
|
So the first thing we want to do is actually pip install kaggle.
| 8 | 20 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t15.0
|
Now I already have it installed so I'm not going to go ahead and install it again.
| 15 | 22 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t20.0
|
But once you do have it installed.
| 20 | 29 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t22.0
|
You can try and import the kaggle module.
| 22 | 32 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t29.0
|
And you will get this error here.
| 29 | 42 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t32.0
|
So this error simply tells you that you could not find the kaggle.json and you need to add it to this location here.
| 32 | 48 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t42.0
|
Now the reason it's telling you this is because we use kaggle.json to authenticate our API access.
| 42 | 52 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t48.0
|
Obviously kaggle is not going to let anyone access their API.
| 48 | 57 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t52.0
|
You need to have a account before you start downloading their data.
| 52 | 67 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t57.0
|
So to get our kaggle.json credentials we simply go over to kaggle.com.
| 57 | 72 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t67.0
|
Now if you don't have an account you'll have to go ahead and create one.
| 67 | 79 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t72.0
|
Once you've created your account you simply go over to this little icon over here in the top right.
| 72 | 81 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t79.0
|
Click account.
| 79 | 85 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t81.0
|
And scroll down until you see this API section.
| 81 | 90 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t85.0
|
Now all you need to do is create a new API token.
| 85 | 99 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t90.0
|
And this creates the kaggle.json credentials and allows me to save them to my computer.
| 90 | 107 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t99.0
|
So I'm just going to save them in my documents for now.
| 99 | 110 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t107.0
|
And then head back to the notebook.
| 107 | 112 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t110.0
|
And we're going to see that we need to save it here.
| 110 | 114 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t112.0
|
So I'm going to copy and paste that across.
| 112 | 121 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t114.0
|
And here we have the directory that we need to put our kaggle.json.
| 114 | 126 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t121.0
|
I'm going to take my kaggle.json and simply move it into here.
| 121 | 130 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t126.0
|
OK so to check that it's worked we simply rerun this cell.
| 126 | 137 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t130.0
|
And there we can see that our kaggle API is now functional.
| 130 | 139 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t137.0
|
Now we don't actually need this import kaggle.
| 137 | 156 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t139.0
|
Instead we need to import the kaggle API class from the kaggle API extended module.
| 139 | 165 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t156.0
|
Once we've imported that we simply initialize our API.
| 156 | 171 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t165.0
|
And then authenticate it.
| 165 | 175 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t171.0
|
Now we're ready to start downloading datasets.
| 171 | 179 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t175.0
|
And the kaggle API gives us several options for doing this.
| 175 | 186 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t179.0
|
The two that you're most likely to use are for downloading the competition datasets or standalone datasets.
| 179 | 191 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t186.0
|
Now a competition dataset is related to a current or past competition.
| 186 | 198 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t191.0
|
So for example there is a sentiment analysis on movie reviews competition.
| 191 | 201 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t198.0
|
We can actually find it over here.
| 198 | 206 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t201.0
|
And you can see here in the URL kaggle.com is followed by this C.
| 201 | 210 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t206.0
|
And this C essentially means that this is a competition.
| 206 | 213 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t210.0
|
And we can also see playground prediction competition.
| 210 | 216 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t213.0
|
Everything is telling us that this is a competition.
| 213 | 221 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t216.0
|
And in this competition it comes with some data.
| 216 | 226 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t221.0
|
Now this is different to a standalone dataset.
| 221 | 230 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t226.0
|
And these standalone datasets can simply be uploaded by anyone.
| 226 | 235 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t230.0
|
So if we go to sentiment 140 dataset here.
| 230 | 241 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t235.0
|
You look in the URL and you can see that this dataset has been uploaded by Casanova.
| 235 | 245 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t241.0
|
And there is a slightly different structure to the dataset page as well.
| 241 | 247 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t245.0
|
And you can see here it's a dataset.
| 245 | 249 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t247.0
|
First tab takes us to data.
| 247 | 254 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t249.0
|
And we can scroll down and see the data that we can get here.
| 249 | 258 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t254.0
|
So there are two different methods for downloading each one of these.
| 254 | 263 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t258.0
|
We can't download competition datasets with the standalone dataset method.
| 258 | 268 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t263.0
|
And we can't download standalone datasets with the competition dataset method.
| 263 | 272 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t268.0
|
So we'll start with the competition dataset.
| 268 | 284 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t272.0
|
And to download one of these all we need to do is use the competition download file method.
| 272 | 291 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t284.0
|
And then we need to pass the competition name followed by the dataset.
| 284 | 293 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t291.0
|
So head back over here.
| 291 | 303 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t293.0
|
And you can see the competition name is this.
| 293 | 318 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t303.0
|
And the data that we would like is train.tsv.zip.
| 303 | 323 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t318.0
|
And that is downloaded into our current directory. You can see it here.
| 318 | 327 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t323.0
|
Okay so that's how we download the competition datasets.
| 323 | 331 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t327.0
|
We can also download the standalone datasets.
| 327 | 340 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t331.0
|
To do so we use the dataset download file method.
| 331 | 347 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t340.0
|
And then here we need to pass the username followed by the dataset name.
| 340 | 352 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t347.0
|
So if we head over here.
| 347 | 365 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t352.0
|
You can find both in the URL. So this one is Casanova slash Sentiment 140.
| 352 | 372 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t365.0
|
We also need to specify the file name.
| 365 | 378 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t372.0
|
Which in this case is this text here.
| 372 | 382 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t378.0
|
And then we just execute that.
| 378 | 387 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t382.0
|
And now we can see that we have downloaded both files here.
| 382 | 391 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t387.0
|
Now you will notice that both of these files are actually zipped.
| 387 | 395 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t391.0
|
So we can just quickly unzip them using Python.
| 391 | 401 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t395.0
|
All we need to do is import zip file.
| 395 | 410 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t401.0
|
And with zip file.
| 401 | 413 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t410.0
|
We specify the path to the data.
| 410 | 423 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t413.0
|
Which in this case is just the file name.
| 413 | 432 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t423.0
|
And we specify that we are simply reading it.
| 423 | 440 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t432.0
|
And then we simply call the extract all method.
| 432 | 445 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t440.0
|
And we have our dataset here.
| 440 | 448 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t445.0
|
And we see everything is in the right format.
| 445 | 454 |
How-to use the Kaggle API in Python
|
2020-11-22 20:29:27 UTC
|
https://youtu.be/DgGFhQmfxHo
|
DgGFhQmfxHo
|
UCv83tO5cePwHMt1952IVVHw
|
DgGFhQmfxHo-t448.0
|
So that's everything for this tutorial on using the Kaggle API.
| 448 | 457 |
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