mlearning.studio

Hospital

Hospital provider / measure tables as a reactive node on .me — correct one record, update dependent quality checks, surface the wave with explain(). No bulk dumps here.

Raha/Baran (and similar tools) detect and repair errors. .me keeps the derived graph after a correction. This ficha pins the upstream dirty/clean CSVs and points at the .me benchmark path.

Live demo

Status URL
Placeholder Live Hospital demo — coming soon
Domain stub Hospital

Benchmark path in .me

git clone https://github.com/neurons-me/.me.git
cd .me/Typescript/tests/Benchmarks/DataQuality-Hospital
# see README — fetch dirty/clean from Raha at the pinned commit (gitignored data/)

Pinned upstream: BigDaMa/raha @ 7be1334b8c7bbdac3f47ef514fb3e1e8c5fc181c

File Raw URL sha256
dirty datasets/hospital/dirty.csv dbc5575b915fe8b5e0ac6dc6172f38ba91e611fdb76d09a8f4a81cb7ea9925ac
clean datasets/hospital/clean.csv ea3ee44998455c0b491750c348509de176c758a3bbf58e4530c0a136bb248b4b

Fetch and verify locally; do not commit the CSVs into mlearning.studio or the public Pages trees.

Citation


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