101–106 of 106 posts
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To clarify, I am a shill for fly.io and wanted to get you to spend more money by scaling it up. The site loaded instantaneously on the first try, so fast I thought it was local.
All good. Needed to be scaled anyway:)
There is a github of the factbook for anyone that just wants JSON or markdown files:=> https://github.com/factbook "A cache for datasets for the country profiles from the World Factbook in the original (1:1) format from the cia.gov website" https://github.com/factbook/cache.factbook.json
It wasn't! Note to self: also check archive.org in case there is an internet archive for any sites an agent might reference.
I checked out this repo -- it has the information useful to my project. Thanks for sharing this!
I would greatly appreciate an optional light mode / non-dark mode. I know a lot of folks love dark mode, but I find it very hard to read.
Thanks so much for this!
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it is a lot of fun and rewarding to do this! I've done it several times for medium-sized datasets, like wikipedia dumps, the entire geospatial dataset to mapreduce it (pgsql). The wikipedia one was great, i had it set up to query things like "show me all ammunition manufactured after 1950 that is between .30 and .40" and it could just return it nearly instantly. The wikimedia dumps keep the infoboxes and relations in…
Do you have a write-up of this somewhere? When I last looked at the Wikipedia dumps, they looked like a mess to parse. How were you getting structured information?
Earlier quoted context omitted.
it is a lot of fun and rewarding to do this! I've done it several times for medium-sized datasets, like wikipedia dumps, the entire geospatial dataset to mapreduce it (pgsql). The wikipedia one was great, i had it set up to query things like "show me all ammunition manufactured after 1950 that is between .30 and .40" and it could just return it nearly instantly. The wikimedia dumps keep the infoboxes and relations in…
Do you have a write-up of this somewhere? When I last looked at the Wikipedia dumps, they looked like a mess to parse. How were you getting structured information?