Researchers from Facebook created a set of training data to improve the effectiveness of neural networks training, specializing in communicating with live users. It includes 5 million characters and 700 million dialogues.
Persona-based network architecture
In the basis of the software, developers have put a set of PERSONA-CHAT, developed jointly by Facebook experts and scientists from the Montreal Institute of Learning Algorithms. First of all, the increase in the volume of data is notable - the basic data-set contained only about a thousand personalities. But researchers are paying attention to a more important aspect. The PERSONA-CHAT content was created artificially, and the new set was formed on the basis of the Reddit user dialogues.
An interactive neural network, trained on a new set of data, leads more engaging dialogues than networks that did not have access to a collection of personalities. Moreover, the training of systems based on the characters is faster.
Choosing the right data set for learning artificial intelligence is one of the key tasks for developers. The accuracy and productivity of the software being created depends on it. In September 2018, Google in the test mode launched a special tool to find suitable collections.