dataset_adapters/WizardLMWizardLM_evol_instruct_70k_fubnh.py

def transform_data(data):
    transformed_data = {}
    
    # get the id
    transformation_id = data.get("id", 0)  # substitute 0 (or any default) if no id is found 
    transformed_data["id"] = transformation_id

    # split the conversations into separate messages
    instructions = data.get("instruction", None)
    outputs = data.get("output", None)

    # build conversation array
    conversations = []

    if instructions:
        conversations.append({"from": "human", "value":instructions})

    if outputs:
        conversations.append({"from": "gpt", "value": outputs})

    transformed_data["conversations"] = conversations

    return transformed_data