Generating multi-turn dialog datasets

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• automatically selecting an agent from a set of agents;
• automatically calculating numbers corresponding to maximum depths of one or more nodes within a dialog tree found in the selected agent;
• automatically selecting a random dialog node from the one or more dialog nodes and generating a random number between a first number and a second number corresponding to the maximum depth of the selected random dialog node;
• automatically identifying sentences from training data of the selected agent that satisfy a first sequential node condition of the selected random dialog node;
• automatically determining an approach for responding to the first sequential node condition of the selected random dialog node that either satisfies the first sequential dialog node condition, or inserts a multi-turn conversational property, and generating a corresponding response;
• automatically determining additional approaches for responding to each condition contained within subsequent sequential child nodes of the selected random dialog node that either satisfy each subsequent sequential child node condition or insert a multi-turn conversational property, and generating corresponding responses for each subsequent sequential child node until a response is generated for the node corresponding to the generated random number between the first number and the second number corresponding to the maximum depth of the selected random dialog node;
• and
• automatically collecting and storing data relating to the selected agent and the generated responses.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more computer-readable tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• automatically selecting an agent from a set of agents;
• automatically calculating numbers corresponding to maximum depths of one or more nodes within a dialog tree found in the selected agent;
• automatically selecting a random dialog node from the one or more dialog nodes and generating a random number between a first number and a second number corresponding to the maximum depth of the selected random dialog node;
• automatically identifying sentences from training data of the selected agent that satisfy a first sequential node condition of the selected random dialog node;
• automatically determining an approach for responding to the first sequential node condition of the selected random dialog node that either satisfies the first sequential dialog node condition, or inserts a multi-turn conversational property, and generating a corresponding response;
• automatically determining additional approaches for responding to each condition contained within subsequent sequential child nodes of the selected random dialog node that either satisfy each subsequent sequential child node condition or insert a multi-turn conversational property, and generating corresponding responses for each subsequent sequential child node until a response is generated for the node corresponding to the generated random number between the first number and the second number corresponding to the maximum depth of the selected random dialog node;
• and
• automatically collecting and storing data relating to the selected agent and the generated responses.