--- license: cc-by-4.0 language: [de] task_categories: [text-classification] size_categories: [n<1K] tags: [clinical, calibration, treatment-status, german] --- # 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 items - `id2family.csv` - family mapping for bootstrap resampling and minimal-pair grouping - `annotation_guideline_v1.2.md` - frozen label guideline - `preregistration_v1.md` - study preregistration ## Column dictionary for `authored_eval_set.csv` Requested field names map to the actual CSV as follows: - `sentence` -> `text` - `leaf` -> `leaf` - `binary` -> `binary` - `label_raw` -> not a separate column in this release; the frozen label is already expressed in `leaf` - `phenomenon` -> `phen` - `family` -> join from `id2family.csv` - `source` -> `source` Actual CSV columns: - `id`: stable item identifier - `source`: item provenance label (`authored`) - `doc`: source document identifier if present - `heading`: local section heading context - `text`: the clinical sentence or mention to classify - `leaf`: frozen leaf label, such as `GIVEN`, `PLANNED`, `DISCUSSED`, `REFUSED`, `WITHHELD`, `PAUSED`, `STOPPED`, or `HISTORICAL` - `binary`: collapsed label, `given` or `not_given` - `phen`: phenomenon tag(s) used for analysis and oversampling Notes: - `family` is available through `id2family.csv` and 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 - `given` means the treatment is currently administered or actively continued. - `not_given` means planned, discussed, refused, withheld, paused, stopped, or historical. ## Companion repository GitHub code and reproducibility pipeline: - `https://github.com/MehranNixiAi/clinical-treatment-status-benchmark`