Getting Started
Configuring channels
Authoring conversations
Conversational interactions
Natural language understanding
Intents and EntitiesAdd Training dataImportInsert ManyPopulateNLU PlaygroundTraining intents and entitiesEvaluationProcessing incoming utterances
Server installation

Add Training data


One way of adding data is to import existing NLU data in Markdown of JSON fornat.

Insert Many

You can also copy and paste or type a bunch of sentences in Training Data > Insert Many and select an intent to tag them all at once

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You can also use Activity > Populate to add data.


If your model works decently, this can be a fast way to enhance your model: add a few examples, Rasa NLU will interpret them and display the annotated results in the New Utterances tab. Making corrections will be very fast, and you might find out that some examples are not that useful. Remember, you should only add more data when it increases the accuracy of your model.

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NLU Playground

Finally, you can add examples one by one from the NLU playground. Just click on the interpreted example to open the editor:

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Then make your annotations and save.

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