Data：Representation of Task-Irrelevant Information in Social Statistical Learning

The process of generating the dataset: A psychological experiment was conducted using the Eprime3.0 software. In Experiment 1, 40 participants (20 pairs of female participants) were recruited, and in Experiment 2, 52 participants (26 pairs of female participants) were recruited to complete the experiment. The reaction times and error rates of each participant were collected as raw data.

Data analysis methods and steps: Firstly, the data is preprocessed based on the R platform, excluding trials with reaction times exceeding 1500ms and excluding subjects with one or more conditions which reaction times or accuracy rates exceeding 3 standard deviations from the correct trials. Then, the data was subjected to a Linear Mixed Model (LMM) and maximum random effects were added (Barr et al., 2013). The optimal linear mixed model was determined using lme4 (Bates et al., 2015) and buildmer package (Voeten, 2020), and the effectsize package was used to estimate effect size f²，and according to the algorithm proposed by Aguasvivas et al. (2024), BF10 was obtained.