some mistakes in the data.

[liyongkang123]

Hello, I found some mistakes in the data.
I use the mat file provided here and the full sign-in file for data processing. In the mat file, one item is selected_venue_IDs(venue_index) => venue IDs

However, I found that only the venue id in NYC is correct, and the venue written in other files does not belong to this city.
For example, the first venue id in TKY.mat is 4b11a2c7f964a5200e8123e3,
But by querying raw_poi.txt and api of foursquare, this poi belongs to Tucson, United States.
it does not belong to Tokyo, Japan,
This type of POI appears in the city mat file but does not belong to the city also occurs in other mat files, such as SaoPaulo.mat
I really hope you can explain it here,
thank you very much

[dingqi]

Thx for your interest. I have fixed the issue in the mat file for a while. I think you are probably using an old version of the mat file. Now the venue ID in the mat file can be mapped to the raw dataset.

The issue is caused by the mismatching between venue ID dictionaries processed at different times (we have a venue dictionary for every six months). BTW, this does not affect any embedding learning results for individual city, because for each dataset, its venue ID/index is obtained for the same venue dictionary.

[liyongkang123]

Thx for your interest. I have fixed the issue in the mat file for a while. I think you are probably using an old version of the mat file. Now the venue ID in the mat file can be mapped to the raw dataset.

The issue is caused by the mismatching between venue ID dictionaries processed at different times (we have a venue dictionary for every six months). BTW, this does not affect any embedding learning results for individual city, because for each dataset, its venue ID/index is obtained for the same venue dictionary.

Thank you very much for your answer, I did notice that I used the old version of the file, now everything is correct.