Here is my understanding of dataloaders -
- create dataset class with getitem and len attributes
- build vocab
- convert words to ids
- pad the sentence
- convert it into tensor?
- pass into data loader
- pass it into the model
is this right?
i am working on imdb dataset rn, i have the review, the rating and sentiment, so i do this, and do i have to do more, can anyone link a code that does this, or a tutorial for dataloaders in nlp. or can someone give a detailed step by step (explain like i am 5) of dataloaders.