Loading array of text and labels into torchtext

Greetings,
This is my first time using torchtext and I found it really intuitive. So I was trying to implement a basic classifier using the same.

Certainly there are a lot of methods of importing data from a static file outside into the torchtext.data.TabularDataset but I found none to directly load lists of texts and labels into the functionality.

Here’s my sample:
tweets :containing a list of tweets
labels : denoting their respective sentiment

Till not I’ve defined data.Fields as:

tweetField=torchtext.data.Field(sequential=True, tokenize=clean_tweets, include_lengths=True,use_vocab=True)

sentimentField=torchtext.data.Field(sequential=False,use_vocab=False,pad_token=None,unk_token=None)

trainTestFields={‘tweet’:(‘t’,tweetField),‘sentiment’:(‘s’,sentimentField)}

Can you help me figure out what I am missing ?