How to build custom Datasets for Text in Pytorch
In this video we go through a bit more in depth into custom datasets and implement more advanced functions for dealing with text. Specifically we're looking at a image captioning dataset (Flickr8k data set) with an image and a corresponding caption text that describes what's going on in the image. I think the general principles from this video can be utilized to any project you're working with when dealing with text data be it either translation, question answering, sentiment analysis etc. I also recommend taking a look at my Torchtext which can also be quite helpful and simplify the data load…
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Chapters (9)
Introduction
2:05
Overview of what we're going to do
4:05
Imports
5:20
Setup of Pytorch Dataset for loading Flickr
11:50
Setup of Vocabulary and Numericalization
22:19
Creating Collate for Padding of Batch
25:20
Function for getting data loader
29:15
Running code & fixing couple of errors
33:09
Ending
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