Hey there, I don't know if you've solved your issue, but this was a major problem for me that took some time to work out. For anyone else who runs into this problem, maybe consider this solution. What I did was manually write JSON format arrays and dictionaries to put labels for each token (singular word that makes up a sentence - image you take your input sentence and say textString.split(by: " ") (by space)) What really sped things up was bringing chat gpt in. It took awhile to teach it what I needed to do, but you can get it to spit out correct format json after giving it around 15-20 items you've written manually. Here's the format: [ { "tokens": ["Remind", "me", "tomorrow", "at", "8", "am", "to", "leave", "for", "work"], "labels": ["NONE", "NONE", "TIME", "TIME", "TIME", "TIME", "NONE", "REMINDER", "REMINDER", "REMINDER"] }, { "tokens": ["Set", "a", "reminder", "next", "tuesday", "to", "buy", "a", "large", "ruler"], "labels": ["NONE", "NONE", "NONE", "TIME", "TIME", "NONE", "REMINDER", "REMINDER", "REMINDER", "REMINDER"] } ] Each word in the "tokens" array lines up with a label in the "labels" array. The ml model, whence you successfully train it, will take in a sentence and spit out an array of labels that you can do a lot of things with.. that's another discussion. Hope this helps, roroDevelopment

Ok sorry for the late reply, Ill send you the code soon because I’m not near my computer right now.