Chatito

Why we included this project

Chatito lets you describe your sentence structures once in a small domain-specific language and then expands them into many labeled training examples, which saves you from hand-writing every utterance. You declare the intents, the slots, and the vocabulary that can fill each slot, and the generator emits variations in Rasa, LUIS, Snips, Flair/BIO, or a custom format. Because the same definitions can feed data-hungry frameworks like Rasa and Flair or a fine-tuned model of your own, one source means you do not maintain separate files for each provider. The patterns stay human-readable, so a dataset remains auditable and easy to regenerate as intents change. Teams building NLU pipelines that need consistent, reviewable labeled data will get the most out of it.