how is this different than cmux or soloterm? or just having my own panes within iTerm?

I guess I need to learn/use tmux and see the benefits.. considering I work locally and can leave my iterm open for days I still haven't caught on to why it's so cool.

good catch, I think the classifier saw the "distribution" in the sentence and assumed it was drug related. I could probably run each sentence against an ai model to classify things..

probably run it against something small like haiku and not cost me an arm and a leg.

I'm exposing the database that I use to build the site now as well.

https://pardonned.com/pardonned.db

I don't know what SPARQL is.. so no :)

are you asking me? if so.. I don't think I understand your question.

I'm thinking of exposing the sqlite db, and now possibly this JSON file as well.. I can take both during the build process and throw them up on CF. Great idea, thank you.

consider http://datasette.io/ as well

It's a play on Donald Trump, after watching a Liz Oyer video linking a very plausible pardon for sale scheme, I wanted to initially build a site that showcased pardons just by Trump, but I realized that would be partisan and not as useful.

Ah, OK. Sorry I didn't get it right away!

Interesting story, but I do not see her name in the list of pardons and commutations on the source website twice.

https://www.justice.gov/pardon/commutations-granted-presiden...

She only shows up here

https://www.justice.gov/pardon/clemency-grants-president-don...

The first time was under the name Adriana Shayota: https://www.justice.gov/usao-sdca/pr/federal-jury-convicts-s...

correct.

i am calculating it if it's available in the sentence details. If the sentence details don't have a fine or restitution then we can't calculate it.

Would love if you can track this more deeply and sort/filter/search through restitutions and fines. The ones you know about, that is.