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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 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
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