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'}]}]