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 loading process.

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OUTLINE:
0:00 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