Pytorch Torchtext Tutorial 1: Custom Datasets and loading JSON/CSV/TSV files

In this video I show you how to to load different file formats (json, csv, tsv) in Pytorch Torchtext using Fields, TabularDataset, BucketIterator to do all the heavy preprocessing for NLP tasks, such as numericalizing, padding, building vocabulary, which saves us a lot of time to focus on actually training the models! In this example I show a toy example dataset for sentiment analysis but the things we go through are general and can be adapted for any dataset.

Resources I used to learn about torchtext:
https://torchtext.readthedocs.io/en/latest/
https://anie.me/On-Torchtext/
https://github.com/bentrevett
https://towardsdatascience.com/how-to-use-torchtext-for-neural-machine-translation-plus-hack-to-make-it-5x-faster-77f3884d95
https://mlexplained.com/2018/02/08/a-comprehensive-tutorial-to-torchtext/

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