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Treatment Status DE Authored
This dataset contains the authored arm of the German treatment-status benchmark. It is designed as a controlled minimal-pair dataset for deciding whether a mentioned treatment is currently given or not given.
Provenance
- Authored in-house for the benchmark study.
- Frozen as a public release for the authored arm only.
- The GraSCCo arm is excluded from this repo because it has separate licensing and provenance.
Files
authored_eval_set.csv- frozen authored evaluation itemsid2family.csv- family mapping for bootstrap resampling and minimal-pair groupingannotation_guideline_v1.2.md- frozen label guidelinepreregistration_v1.md- study preregistration
Column dictionary for authored_eval_set.csv
Requested field names map to the actual CSV as follows:
sentence->textleaf->leafbinary->binarylabel_raw-> not a separate column in this release; the frozen label is already expressed inleafphenomenon->phenfamily-> join fromid2family.csvsource->source
Actual CSV columns:
id: stable item identifiersource: item provenance label (authored)doc: source document identifier if presentheading: local section heading contexttext: the clinical sentence or mention to classifyleaf: frozen leaf label, such asGIVEN,PLANNED,DISCUSSED,REFUSED,WITHHELD,PAUSED,STOPPED, orHISTORICALbinary: collapsed label,givenornot_givenphen: phenomenon tag(s) used for analysis and oversampling
Notes:
familyis available throughid2family.csvand is used for family-level bootstrap resampling.
Design
The authored set was built as a controlled minimal-pair benchmark so that a model must read the status language instead of relying on the drug name alone. The public white paper reports the exact family count, kappa, and safety metrics.
Labels
givenmeans the treatment is currently administered or actively continued.not_givenmeans planned, discussed, refused, withheld, paused, stopped, or historical.
Companion repository
GitHub code and reproducibility pipeline:
https://github.com/MehranNixiAi/clinical-treatment-status-benchmark
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