Method of generating training data, readable medium, and electronic device
AssigneeBeijing Youzhuju Network Technology Co., Ltd.
InventorYukun MA
Life of this patent
Estimating the term…
Abstract
A method of generating training data, a readable medium and an electronic device are provided. The method includes: acquiring sample data; determining a data generation template according to the sample data; generating question data according to the first data in the sample data and the data generation template, and determining answer data according to the second data other than the first data in the sample data; and combining the question data and the answer data into the training data.
Claims20
A method of generating training data, comprising:
- acquiring sample data;
- determining a data generation template according to the sample data;
- generating question data according to first data in the sample data and the data generation template, and determining answer data according to second data other than the first data in the sample data;
- and
- combining the question data and the answer data into the training data.
A non-transient computer-readable medium, storing computer programs, wherein when the computer programs are executed by at least one processor, a method of generating training data is implemented, and the method of generating training data comprises:
- acquiring sample data;
- determining a data generation template according to the sample data;
- generating question data according to first data in the sample data and the data generation template, and determining answer data according to second data other than the first data in the sample data;
- and
- combining the question data and the answer data into the training data.
An electronic device, comprising:
- a memory, storing computer programs;
- and
- at least one processor, configured to execute the computer programs in the memory to implement a method of generating training data, wherein the method of generating training data comprises:
- acquiring sample data;
- determining a data generation template according to the sample data;
- generating question data according to first data in the sample data and the data generation template, and determining answer data according to second data other than the first data in the sample data;
- and
- combining the question data and the answer data into the training data.
Dependencies are inferred from the claim text.