Analyze your text data and get suggestions for improving chatbot training datasets. Evaluate quality, detect gaps, and optimize your training data for better chatbot performance.
The tool accepts plain text (one sample per line), JSON arrays, or CSV format. For best results, ensure each training sample is on a separate line or properly formatted.
For basic chatbots, start with 50-100 examples per intent. More complex bots may need 200-500+ examples per intent. Quality is more important than quantity.
Good training data is diverse, covers all user intents, uses natural language variations, avoids duplicates, and includes edge cases and common misspellings.