ConversationTemplate¶
Generate a conversation template from an instruction and a response.
Input & Output Columns¶
graph TD
    subgraph Dataset
        subgraph Columns
            ICOL0[instruction]
            ICOL1[response]
        end
        subgraph New columns
            OCOL0[conversation]
        end
    end
    subgraph ConversationTemplate
        StepInput[Input Columns: instruction, response]
        StepOutput[Output Columns: conversation]
    end
    ICOL0 --> StepInput
    ICOL1 --> StepInput
    StepOutput --> OCOL0
    StepInput --> StepOutput
Inputs¶
- 
instruction ( str): The instruction to be used in the conversation.
- 
response ( str): The response to be used in the conversation.
Outputs¶
- conversation (ChatType): The conversation template.
Examples¶
Create a conversation from an instruction and a response¶
from distilabel.steps import ConversationTemplate
conv_template = ConversationTemplate()
conv_template.load()
result = next(
    conv_template.process(
        [
            {
                "instruction": "Hello",
                "response": "Hi",
            }
        ],
    )
)
# >>> result
# [{'instruction': 'Hello', 'response': 'Hi', 'conversation': [{'role': 'user', 'content': 'Hello'}, {'role': 'assistant', 'content': 'Hi'}]}]