Creating a test set from a CSV file for Test Workbench - Amazon Lex

Creating a test set from a CSV file for Test Workbench

You can create a test set from the CSV file template provided in the Amazon Lex V2 console by entering the values directly by using a CSV spreadsheet editor. The test set is a comma-separated value (CSV) file consisting of single user utterances and multi-turn conversations recorded in the following columns:

  • Line # – this column is an incremental counter that keeps track of the total filled rows to test.

  • Conversation # – this column tracks the number of turns in a conversations. For single inputs, this column can be left empty, filled with "-" or "N/A". For conversations, each turn within a conversations will be assigned the same conversation number.

  • Source – this column is set to "User" or "Agent". For single inputs, it will be always set to "User".

  • Input – this column includes the user utterance or the bot prompts.

  • Expected Output Intent – this column captures the intent fulfilled in the input.

  • Intent Expected Output Slot 1 – this column captures the first slot elicited in the user input. The test set should include a column called Expected Output Slot X for each slot in the user input.

Example of a test set with single inputs:

Line # Conversation # Source Input Expected Output Intent Expected Output Slot 1 Expected Output Slot 2

1

User

book a cleaning appointment tomorrow

MakeAppointment

AppointmentType = cleaning

Date = tomorrow

2

N/A

User

book a cleaning appointment on April 15th

MakeAppointment

AppointmentType = cleaning

Date = 4/15/23

3

N/A

User

book appointment for December first

MakeAppointment

Date = December first

4

N/A

User

book a cleaning appointment

MakeAppointment

AppointmentType = cleaning

1

User

Can you help me book an appointment?

MakeAppointment

Example of a test set with conversations

Line # Conversation # Source Input Expected Output Intent Expected Output Slot 1 Expected Output Slot 2 Expected Output Slot 3

1

1

User

book an appointment

MakeAppointment

2

1

Agent

What type of appointment would you like to schedule?

MakeAppointment

3

1

User

cleaning

MakeAppointment

AppointmentType = cleaning

4

1

Agent

When should I schedule your appointment?

MakeAppointment

5

1

User

tomorrow

MakeAppointment

Date = tomorrow

6

2

User

book a root canal appointment today

MakeAppointment

AppointmentType = root canal

Date = today

7

2

Agent

At what time should I schedule your appointment?

MakeAppointment

8

2

User

eleven a.m.

MakeAppointment

Time = eleven a.m.