openml-datasets

Field	Type	Format
has_null	number	default
wave	number	default
gender	string	default
age	number	default
age_o	number	default
d_age	number	default
d_d_age	string	default
race	string	default
race_o	string	default
samerace	number	default
importance_same_race	number	default
importance_same_religion	number	default
d_importance_same_race	string	default
d_importance_same_religion	string	default
field	string	default
pref_o_attractive	number	default
pref_o_sincere	number	default
pref_o_intelligence	number	default
pref_o_funny	number	default
pref_o_ambitious	number	default
pref_o_shared_interests	number	default
d_pref_o_attractive	string	default
d_pref_o_sincere	string	default
d_pref_o_intelligence	string	default
d_pref_o_funny	string	default
d_pref_o_ambitious	string	default
d_pref_o_shared_interests	string	default
attractive_o	number	default
sinsere_o	number	default
intelligence_o	number	default
funny_o	number	default
ambitous_o	number	default
shared_interests_o	number	default
d_attractive_o	string	default
d_sinsere_o	string	default
d_intelligence_o	string	default
d_funny_o	string	default
d_ambitous_o	string	default
d_shared_interests_o	string	default
attractive_important	number	default
sincere_important	number	default
intellicence_important	number	default
funny_important	number	default
ambtition_important	number	default
shared_interests_important	number	default
d_attractive_important	string	default
d_sincere_important	string	default
d_intellicence_important	string	default
d_funny_important	string	default
d_ambtition_important	string	default
d_shared_interests_important	string	default
attractive	number	default
sincere	number	default
intelligence	number	default
funny	number	default
ambition	number	default
d_attractive	string	default
d_sincere	string	default
d_intelligence	string	default
d_funny	string	default
d_ambition	string	default
attractive_partner	number	default
sincere_partner	number	default
intelligence_partner	number	default
funny_partner	number	default
ambition_partner	number	default
shared_interests_partner	number	default
d_attractive_partner	string	default
d_sincere_partner	string	default
d_intelligence_partner	string	default
d_funny_partner	string	default
d_ambition_partner	string	default
d_shared_interests_partner	string	default
sports	number	default
tvsports	number	default
exercise	number	default
dining	number	default
museums	number	default
art	number	default
hiking	number	default
gaming	number	default
clubbing	number	default
reading	number	default
tv	number	default
theater	number	default
movies	number	default
concerts	number	default
music	number	default
shopping	number	default
yoga	number	default
d_sports	string	default
d_tvsports	string	default
d_exercise	string	default
d_dining	string	default
d_museums	string	default
d_art	string	default
d_hiking	string	default
d_gaming	string	default
d_clubbing	string	default
d_reading	string	default
d_tv	string	default
d_theater	string	default
d_movies	string	default
d_concerts	string	default
d_music	string	default
d_shopping	string	default
d_yoga	string	default
interests_correlate	number	default
d_interests_correlate	string	default
expected_happy_with_sd_people	number	default
expected_num_interested_in_me	number	default
expected_num_matches	number	default
d_expected_happy_with_sd_people	string	default
d_expected_num_interested_in_me	string	default
d_expected_num_matches	string	default
like	number	default
guess_prob_liked	number	default
d_like	string	default
d_guess_prob_liked	string	default
met	number	default
decision	number	default
decision_o	number	default
match	number	default

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About

Last updated: 9 February 2026
Total rows: ...
Format: CSV
File size: 4.97 MB
License: Open Data Commons Public Domain Dedication and License

About this dataset

The resources for this dataset can be found at https://www.openml.org/d/40536

Author: Ray Fisman and Sheena Iyengar
Source: Columbia Business School - 2004
Please cite: None

This data was gathered from participants in experimental speed dating events from 2002-2004. During the events, the attendees would have a four-minute "first date" with every other participant of the opposite sex. At the end of their four minutes, participants were asked if they would like to see their date again. They were also asked to rate their date on six attributes: Attractiveness, Sincerity, Intelligence, Fun, Ambition, and Shared Interests. The dataset also includes questionnaire data gathered from participants at different points in the process. These fields include: demographics, dating habits, self-perception across key attributes, beliefs on what others find valuable in a mate, and lifestyle information.

Attribute Information

 * gender: Gender of self  
 * age: Age of self  
 * age_o: Age of partner  
 * d_age: Difference in age  
 * race: Race of self  
 * race_o: Race of partner  
 * samerace: Whether the two persons have the same race or not.  
 * importance_same_race: How important is it that partner is of same race?  
 * importance_same_religion: How important is it that partner has same religion?  
 * field: Field of study  
 * pref_o_attractive: How important does partner rate attractiveness  
 * pref_o_sinsere: How important does partner rate sincerity  
 * pref_o_intelligence: How important does partner rate intelligence  
 * pref_o_funny: How important does partner rate being funny  
 * pref_o_ambitious: How important does partner rate ambition  
 * pref_o_shared_interests: How important does partner rate having shared interests  
 * attractive_o: Rating by partner (about me) at night of event on attractiveness  
 * sincere_o: Rating by partner (about me) at night of event on sincerity  
 * intelligence_o: Rating by partner (about me) at night of event on intelligence  
 * funny_o: Rating by partner (about me) at night of event on being funny  
 * ambitous_o: Rating by partner (about me) at night of event on being ambitious  
 * shared_interests_o: Rating by partner (about me) at night of event on shared interest  
 * attractive_important: What do you look for in a partner - attractiveness  
 * sincere_important: What do you look for in a partner - sincerity  
 * intellicence_important: What do you look for in a partner - intelligence  
 * funny_important: What do you look for in a partner - being funny  
 * ambtition_important: What do you look for in a partner - ambition  
 * shared_interests_important: What do you look for in a partner - shared interests  
 * attractive: Rate yourself - attractiveness  
 * sincere: Rate yourself - sincerity   
 * intelligence: Rate yourself - intelligence   
 * funny: Rate yourself - being funny   
 * ambition: Rate yourself - ambition  
 * attractive_partner: Rate your partner - attractiveness  
 * sincere_partner: Rate your partner - sincerity   
 * intelligence_partner: Rate your partner - intelligence   
 * funny_partner: Rate your partner - being funny   
 * ambition_partner: Rate your partner - ambition   
 * shared_interests_partner: Rate your partner - shared interests  
 * sports: Your own interests [1-10]  
 * tvsports  
 * exercise  
 * dining  
 * museums  
 * art  
 * hiking  
 * gaming  
 * clubbing  
 * reading  
 * tv  
 * theater  
 * movies  
 * concerts  
 * music  
 * shopping  
 * yoga  
 * interests_correlate: Correlation between participant’s and partner’s ratings of interests.  
 * expected_happy_with_sd_people: How happy do you expect to be with the people you meet during the speed-dating event?  
 * expected_num_interested_in_me: Out of the 20 people you will meet, how many do you expect will be interested in dating you?  
 * expected_num_matches: How many matches do you expect to get?  
 * like: Did you like your partner?  
 * guess_prob_liked: How likely do you think it is that your partner likes you?   
 * met: Have you met your partner before?  
 * decision: Decision at night of event.
 * decision_o: Decision of partner at night of event.  
 * match: Match (yes/no)

Relevant paper

Raymond Fisman; Sheena S. Iyengar; Emir Kamenica; Itamar Simonson.
Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment.
The Quarterly Journal of Economics, Volume 121, Issue 2, 1 May 2006, Pages 673–697,
https://doi.org/10.1162/qjec.2006.121.2.673