Hi, thanks for doing this import, it seems like it's mostly adding good data to the map. However, in my local area I noticed a couple of errors in these data:
-This KFC doesn't exist: https://www.openstreetmap.org/node/11980259978. It was torn down in 2018 according to streetlevel imagery, and something else (a Starbucks) was built in its place. Weirdly, in the website you appear to be scraping from, it shows the opening hours as closed 24/7: https://locations.kfc.com/ca/los-angeles/3061-sawtelle-blvd.
-This Panda Express is in the wrong place: https://www.openstreetmap.org/node/11980259979. It looks like the website is referring to this already-mapped one: https://www.openstreetmap.org/node/441936006, but for some reason you've placed it directly on top of the Culver City place=town node. Maybe an issue with the geolocator you/ATP is using? I notice someone else added a note to the existing one that they couldn't find it in ATP. In any case, there's certainly no Panda Express in the middle of the road next to Culver City Hall, nowhere near its street address.

Hopefully these edge cases can help you/the challenge designers better identify more false positives in your data.

Will