Three-response associations were collected from 2016 to 2023 for 10,000 cue words, each answered by about 76 participants on average. Participants were native speakers in Mandarin Chinese or other Chinese dialects. A dataset before the word and participant cleaning are provided, where 85 taboo words in responses were masked, and 19 taboo words in cue words were deleted. Preprocessing ended up including 55 participants for each cue word. A dataset after preprocessing is provided, where containing responses for 10,024 cue words contributed by 30,504 participants, for a total of 551,320 trials. Each row of datasets is a single trial, consisting of demographic information from one participant, and his or her three responses for one cue word. Scripts in MATLAB for preprocessing can be found on the SWOW-ZH github page https://github.com/lib314a/SWOWZH and the raw and preprocessed data, cue and response statistics currently under review can be found below:

 SWOW-ZH23 [45Mb]

Citation: Li, B., Ding, Z., De Deyne, S., & Cai, Q. (2024). A large-scale database of Mandarin Chinese word associations from the Small World of Words project. Under review.

Rioplatense is Spanish variant spoken in South America, primarily in Uruguay and Argentine. The following dataset is currently under review and is likely to be subject to minor updates (e.g spellchecks).
Here we release the full raw data of the SWOW-RP project as well as a balanced preprocessed dataset where each cue are judged by exactly 70 participants and responses were normalized and spellchecked. Scripts for preprocessing and evaluation can be found at https://github.com/almadana/SWOW-RP. Raw and processed data, together with cue and response statistics can be found below.

 SWOW-RP22 [79Mb]

Citation: Cabana, A., Zugarramurdi, C., Valle-Lisboa, J.C., & De Deyne, S. (2024). The “Small World of Words” free association norms for Rioplatense Spanish. Behavior Research Methods, 56 (2), 968-985.

Word association and participant data for 100 primary, secondary and tertiary responses to 12,292 cues. The data published in Behavior Research Methods were collected between 2011 and 2018. The preprocessed data consist of normalizations of cues and responses by spell-checking them, correcting capitalization and Americanizing. In addition to normalizing cues and responses, the preprocessed file contains data in which each cue is judged by exactly 100 participants (see Github repository for details).

Scripts with a processing pipeline to analyse these data in R can be obtained from the SWOWEN-2018 github repository. Note to R users: use the following command to deal with quotation, otherwise the entire file might not be read in correctly. X= read_delim('strength.SWOW-EN.R123.csv',delim='\t',quote = '',escape_backslash = F,escape_double = F) Raw and processed data, together with cue and response statistics can be found below.

 SWOW-EN18 [80Mb]

Dutch word association data (SWOW-NL). Word association and participant data for 100 primary, secondary and tertiary responses to 12,571 cues as reported in De Deyne, Navarro and Storms (2013).

The data are licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. They cannot be redistributed or used for commercial purposes.