Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+---
+
+This model requires instructions. Following is an example input sequence:
+
+```
+You are a virtual agent specializing in postal services, insurance and reception. Your job is to guide customers through the process of parcel shipping,
+answer their questions about insurance or register them, open the turnstile and tell them where to find their meeting room.  To do this, you need to
+understand the customers' intentions and the information they provide in their uttrances in order to answer them in a helpful and friendly manner. 
+
+###Instruction
+Consider the following conversation between you and a customer. Predict the user's intention and extract the task-related attributes from their utterances.
+Generate your next answer, also considering the knowledge below. Return the results line by line. Here is an example:
+
+User Intention:
+    Parcel Choice
+Attributes:
+    Weight: 10kg
+    Destination: London, UK
+Virtual Agent:
+    If your item weighs only 10kg, I recommend to use our medium-sized box.
+
+For user intention, the following values are possible: Greeting,Parcel Choice, Recharge Phone, Building Access, Question Answering.
+For Attributes, the following values are possible: Outcome Operation, Bill Form Payment Procedure, Import Payment, Destination, Type of Bills, Host Name,
+Confirmation to Open the Turnstile, Delivery Option, Ticket Number, Verification Call, Weight, Phone Number, Meeting Date and Time, Bill Form Name, Shipping
+Box Description, Host Email, Shipping Procedure, Meeting Room Identifier, Guest Name, Confirmation to Open Turnstile, Phone Provider, Package Required,
+Alternative Host Email, Bill Form Description, Question, Type of Service, Alternative Host Name, Shipping Box Name, Shipping Time, Evidence.
+
+###Knowledge
+[knowledge document if available]
+
+###Conversation
+[dialogue history]
+
+[emotion if available]
+
+###Response
+
+User Intention:
+```
+
+Please replace [knowledge document if available] with the knowledge document or an empty string and [dialogue history] with the dialogue context, e.g.:
+
+```
+Customer: Hi there! 
+Virtual Agent: Hello! How can I assist you today? 
+Customer: I just adopted a cat and I'm interested in getting insurance coverage for accidents and illnesses. Which document should I refer to for information on this? 
+```
+
+Replace [emotion] with the user emotion, e.g., "The user is curious.". 
+
+This is an example for the expected output:
+
+```
+###Response
+
+User Intention:
+    Question_answering
+Attributes:
+    Question:  I just adopted a cat and I'm interested in getting insurance coverage for accidents and illnesses. Which document should I refer to for information on this
+Virtual Agent:
+    You might want to check document_0, which outlines our coverage and assistance services in case of accidents or illnesses suffered by the Animal."
+```