Dataset for word generation (Algorithm 1 validation dataset)

The dataset contains two sets of data: Chinese and Czech. The open-source Chinese dataset consists of 26 valid subject pairs (52 individuals in total). Each subject's data file includes the following:Experimental record information, such as the type of task and trial details;The prior context relied upon during the word prediction process;Words predicted by the GPT-2 model during the experiment, including the predicted word frequencies, parts of speech, word vectors, and other relevant information;The ambiguous words actually spoken by the subjects during the experiment, along with their frequencies, parts of speech, and word vector-related information;The cognitive model residuals of the predicted words, used to fit the Bayesian word prediction algorithm.The second dataset is in Czech and includes 20 valid subject pairs (40 individuals in total). The experimental tasks and data preprocessing methods, as well as the content and format, are consistent with those of the Chinese dataset, so they are not elaborated here.