The database for extracting numerical and visual properties of numerosity processing in the Chinese population

The ability to handle non-symbolic numerosity has been recurrently linked to mathematical abilities. The accumulated data provide a rich resource that can reflect the underlying properties (i.e., dot ratio, area, convex hull, perimeters, distance, and hash) of numerosity processing. This article reports a database of numerosity processing in the Chinese population. The database contains five independent datasets with 7459, 4902, 415, 671, 414 participants respectively. For each dataset, all data were collected in the same online computerized test, examination room, professorial tester, and using the same protocols. Computational modeling method could be used to extract the dot ratio and visual properties of numerosity from five types of dot stimuli. This database enables researchers to test the theoretical hypotheses regarding numerosity processing using a large sample population. The database can also indicate the individual difference of non-symbolic numerosity in mathematical abilities.

Automated summary

This article presents a large database consisting of five independent datasets, which can be used to study numerosity processing in the Chinese population. The data in the database reflect the underlying properties of numerosity processing, such as dot ratio, area, convex hull, perimeters, distance, and hash. Researchers can utilize this database to test theoretical hypotheses and explore individual differences in non-symbolic numerosity and mathematical abilities.