Data Science & Analytics
Building Gold Corpus
Scaffold a synthetic gold-standard annotation project for evaluating OpenMed NER and de-identification models — label schema, annotation guidelines, BRAT or Label Studio config, and disjoint train/dev/test splits. Use when the user wants to create eval fixtures, set up annotation, define a label set, write guidelines, configure an annotation tool, or build a held-out gold set for the OpenMed eval harness. Trigger on \"gold corpus\", \"annotation project\", \"label schema\", \"annotation guidelines\", \"BRAT\", \"Label Studio\", \"train dev test split\", or \"build eval fixtures\" for OpenMed. Committed gold must be synthetic; licensed (i2b2/n2c2/MIMIC) data is eval-only and never committed.
- Publisher / source
- maziyarpanahi/openmed (found on GitHub top repositories)
- Upstream record
- maziyarpanahi/openmed
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
af0190ab9f3e2b4c58cc7bf226194ab2a17e54c7654caf86ccf84f9d0fefe272