This is the dataset for the article "Does the Venue of Scientific Conferences Leverage1their Impact? A Large Scale study on Computer2Science Conferences". Abstract: Is there any correlation between the impact of a scientific conference and the venue where it takes place? It seems that no one has tackled this issue before, so we decided to explore the possible implications. From the one hand, we considered the number of citations as indicator of the impact of a conference; from the other hand, we considered specific touristic indexes that characterize the venue. In this paper we report on the results of the large scale analysis we conducted on the bibliographic data we extracted from nearly 4000 conference series in the Computer Science area and over 2.5 million papers spanning more than 30 years of research. Interestingly, we found out that the two aspects are indeed related and this is shown by the detailed analysis of the data. Code to run the experiments is available at https://github.com/lbedogni/conference-touristicity Dataset structure In the city folder there is all the data needed to run the correlation experiments with the touristicity values for each city. In the country folder there is all the data needed to run the correlation experiments with the touristicity values for each country. All the csv files, which are: corr_city_conf_kendall.csv corr_city_conf_pearson.csv corr_city_conf_spearman.csv corr_state_conf_kendall.csv corr_state_conf_pearson.csv corr_state_conf_spearman.csv swp.csv year.csv place_of_conference.csv Are convenience files which speed up the experiments, and which can be recreated, if needed, by running the code provided in the github repository.