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float64 2.18
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|---|---|---|---|---|---|---|---|---|
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t720.4
|
So print it.
| 720.4 | 726.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t722.08
|
And I want to say, okay, I want to enumerate this.
| 722.08 | 729.84 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t726.24
|
So I can count how many times we're going through it.
| 726.24 | 735.6 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t730.72
|
So here I'm just viewing the data so we can actually see what we have in there.
| 730.72 | 748.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t737.52
|
So I want to say, if i is greater than four, just break, just stop printing answers for us.
| 737.52 | 749.68 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t748.24
|
So and then we have a few of these.
| 748.24 | 751.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t749.6800000000001
|
So we have text and we have answer start.
| 749.68 | 753.84 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t751.52
|
We want to add answer end.
| 751.52 | 756 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t753.84
|
And the way that we do that is pretty straightforward.
| 753.84 | 762 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t756.0
|
We just need to take the answer start and we add the length of our text to that to get the answer end.
| 756 | 765.44 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t762.8
|
Nothing, nothing complicated there.
| 762.8 | 770.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t765.44
|
So what we're going to do here is modify the answers feature.
| 765.44 | 778.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t770.88
|
And the best way or I think the least the most common way of modifying features
| 770.88 | 782.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t778.48
|
or adding new features as well is to use the map method.
| 778.48 | 785.36 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t782.48
|
So we go data set.
| 782.48 | 790.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t785.36
|
So it's going to output a new data set.
| 785.36 | 795.44 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t790.48
|
So we write data set train equals data set train.
| 790.48 | 799.76 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t797.92
|
And we're going to use the map method.
| 797.92 | 805.44 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t802.5600000000001
|
And with map we use lambda.
| 802.56 | 808.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t805.44
|
So we write lambda x.
| 805.44 | 811.92 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t809.9200000000001
|
So in here we're building a lambda function.
| 809.92 | 814.8 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t811.92
|
And what we need to do.
| 811.92 | 820.72 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t814.8
|
So this is one of the things that changes depending on whether you're using streaming or not.
| 814.8 | 826.96 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t820.7199999999999
|
So with streaming equals true in here we need to specify every single feature.
| 820.72 | 835.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t826.9599999999999
|
So what I mean by that is let me do it for streaming faults initially.
| 826.96 | 839.28 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t835.52
|
So when streaming is false we would just write answers.
| 835.52 | 845.04 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t839.28
|
And we would write the modification to that feature.
| 839.28 | 849.36 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t845.04
|
So in this case we are taking the current answers.
| 845.04 | 853.6 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t849.36
|
So it would be x answers.
| 849.36 | 864.08 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t854.9599999999999
|
And we would be merging that with a new dictionary item which is going to be answers end.
| 854.96 | 870.16 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t864.08
|
So answer start.
| 864.08 | 876.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t870.88
|
So answer end is equal to.
| 870.88 | 882.8 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t879.5200000000001
|
And here what we have to do is we go x answers.
| 879.52 | 884.8 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t882.8000000000001
|
So this is a little bit messy now.
| 882.8 | 887.44 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t885.84
|
But it's just how it is.
| 885.84 | 892.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t887.44
|
So we're within answers and we want to take the answer start position.
| 887.44 | 895.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t892.48
|
So answer start.
| 892.48 | 900.4 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t898.96
|
And we want to add.
| 898.96 | 902.88 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t901.28
|
Let me start a new line here.
| 901.28 | 912.56 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t904.32
|
And we want to add the length of answers text.
| 904.32 | 921.36 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t915.36
|
OK so all we're doing there is we're taking answer start and we're adding answer text.
| 915.36 | 924.72 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t921.36
|
Or the length of answer text to that to get our answer end.
| 921.36 | 930.96 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t924.72
|
Now this is all we would have to write if we were using streaming equals false.
| 924.72 | 931.6 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t930.96
|
But we're not.
| 930.96 | 937.68 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t932.5600000000001
|
With streaming equals true we need to add every other feature in there as well.
| 932.56 | 942.32 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t938.24
|
I'm not sure why this is the case.
| 938.24 | 944.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t943.6
|
But it is.
| 943.6 | 947.36 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t944.24
|
So we need to just add those in as well.
| 944.24 | 954.16 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t947.36
|
So all they are is a direct mapping from the old version to the new data set.
| 947.36 | 955.76 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t954.16
|
So we don't need to really do anything there.
| 954.16 | 957.2 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t955.76
|
We just need to add ID.
| 955.76 | 961.84 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t957.2
|
We want to map that to ID and do that for the other features as well.
| 957.2 | 964.32 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t961.84
|
So we have also have context.
| 961.84 | 967.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t965.92
|
Which is exit context.
| 965.92 | 972.8 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t969.76
|
We have answer already done of course.
| 969.76 | 977.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t972.8
|
A question which is going to be exit question.
| 972.8 | 982.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t980.0
|
So ID context question answers.
| 980 | 985.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t983.5999999999999
|
Is there anything else I'm missing?
| 983.6 | 990.08 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t988.0
|
ID oh title of course.
| 988 | 992.88 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t990.0799999999999
|
Title just title.
| 990.08 | 997.44 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t994.24
|
Yeah so also add title in there as well.
| 994.24 | 1,006.16 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t997.44
|
Okay and with that we should be ready to go.
| 997.44 | 1,008.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1006.1600000000001
|
So let's map that.
| 1,006.16 | 1,013.76 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1008.24
|
And what we'll find is when we're using streaming keywords equals true.
| 1,008.24 | 1,021.84 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1016.48
|
The actual process is or the transformation that we just built is lazily loaded.
| 1,016.48 | 1,024.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1021.84
|
So we haven't actually just done anything there.
| 1,021.84 | 1,030 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1024.48
|
All we've said is we've passed this instruction to transform the data set in this way.
| 1,024.48 | 1,033.36 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1030.56
|
But it hasn't actually transformed anything yet.
| 1,030.56 | 1,036.64 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1033.3600000000001
|
It only performs this transformation when we call the data set.
| 1,033.36 | 1,040.8 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1037.6
|
So if we did this again.
| 1,037.6 | 1,049.2 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1041.92
|
This would call the data set and it would force the code to run this instruction or this transformation.
| 1,041.92 | 1,052.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1051.28
|
So let's run that.
| 1,051.28 | 1,056.8 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1052.24
|
And you see we actually do get an error here.
| 1,052.24 | 1,058.08 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1056.8
|
And why is that?
| 1,056.8 | 1,059.92 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1058.08
|
So let me come down.
| 1,058.08 | 1,065.92 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1062.88
|
We have so what am I doing?
| 1,062.88 | 1,071.6 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1068.0
|
And start plus delete those answers.
| 1,068 | 1,072.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1071.6
|
What's wrong with that?
| 1,071.6 | 1,076.08 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1073.52
|
Ah okay so if we look up here.
| 1,073.52 | 1,081.76 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1077.28
|
We have these items here that are within the list.
| 1,077.28 | 1,086.88 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1081.76
|
So we actually need to access that first item.
| 1,081.76 | 1,093.68 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1087.68
|
But that's good because we saw that when we first execute this code nothing happened.
| 1,087.68 | 1,098.16 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1093.68
|
And it only actually came across that error when we called a data set.
| 1,093.68 | 1,101.76 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1098.16
|
Because that's when this transformation is actually performed.
| 1,098.16 | 1,108 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1102.64
|
And now what we have to do is because we've already added this instruction to our data set
| 1,102.64 | 1,112.08 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1108.0
|
you know transformation or building process.
| 1,108 | 1,114.88 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1112.08
|
We actually need to reinitialize our data set.
| 1,112.08 | 1,116.64 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1114.88
|
So we will come back up here.
| 1,114.88 | 1,120.56 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1118.64
|
So where are you here?
| 1,118.64 | 1,122.64 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1120.56
|
So date no not that one this one.
| 1,120.56 | 1,129.92 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1123.36
|
So we need to load that again to reinitialize the all of the instructions that we've added in there.
| 1,123.36 | 1,134.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1131.12
|
And then we can go ahead rerun this.
| 1,131.12 | 1,137.2 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1134.24
|
And now it should work hopefully let's see.
| 1,134.24 | 1,138.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1137.2
|
There we go.
| 1,137.2 | 1,141.2 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1139.1200000000001
|
So now if we have a look at this.
| 1,139.12 | 1,145.44 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1141.2
|
And this is something I probably should have done but I completely forgot to.
| 1,141.2 | 1,150.24 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1145.44
|
So I should have added this as maybe a list rather than just the number.
| 1,145.44 | 1,154.48 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1150.24
|
But it's fine because you know if you come across and you need to do this.
| 1,150.24 | 1,155.52 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1154.48
|
You may want to add that in.
| 1,154.48 | 1,162.32 |
Build NLP Pipelines with HuggingFace Datasets
|
2021-09-23 13:30:07 UTC
|
https://youtu.be/r-zQQ16wTCA
|
r-zQQ16wTCA
|
UCv83tO5cePwHMt1952IVVHw
|
r-zQQ16wTCA-t1156.64
|
But we're not doing anything other than playing around with the data sets library.
| 1,156.64 | 1,164.08 |
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