10,000 ways to ask to a chatbot to change an order

Download your evaluation data to import to your favorite platform

Automate your customer support by understanding the intent "change_order" in 10000 different ways

This dataset reflects commonly occurring linguistic phenomena of real-life chatbots, such as:

• spelling mistakes
• run-on words
• missing punctuation

We deliver training and evaluation data for any of the major platforms: Dialogflow, Lex, Rasa, MS Luis, Einstein...

It includes language register variations such as politeness, colloquial, swearing, indirect style... 

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Free Dataset description:

Each entry in the dataset contains an example utterance along with its corresponding intent, category and additional linguistic information. Each line contains the following four fields:

• 10,000 utterances, extracted from a larger dataset of over 1,000,000 utterances
• flags: the applicable linguistic flags
• utterance: an example user utterance
• category: the high-level intent
• category intent: the intent corresponding to the user utterance