A Knowledge Dataset for Automotive Maintenance and Servicing for Large Language Model Fine-tuning

The AMCK dataset has a size of 80.1MB and contains 40535 pieces of data, stored in JSON format. Each piece of data contains three attributes: instruction, input, and output. Instruction provides information on the brand and model of the vehicle being maintained, allowing the model to focus on specific areas; Input is user questions or related background information that helps the model analyze and reason; Output is the response content generated by the model based on the inference of the first two parts, which is the answer or solution to the input problem.