Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition.​

Features

  • Defines templates using a simple domain-specific language
  • Generates varied training examples for NLU models
  • Supports slot filling and entity extraction scenarios
  • Provides an interactive mode for real-time template testing
  • Compatible with Rasa NLU and other NLU frameworks
  • Open-source under the MIT license​

Project Samples

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Parser Generators

Registered

2025-04-28