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Summary

Lifecycle: draftEditUnder review
What this benchmark means
README.md

Public entries: Python and R. Passing coverage requires an installed inventory.

Goal: build one record per subject and treatment (EXTRT), carrying the total dose (DOSECUM) across the exposure records.

Input: subject-treatment records carrying treatment (EXTRT), and exposure records carrying treatment (EXTRT), sequence number (EXSEQ), and dose (EXDOSE).

Variables:

  • EXTRT would be the treatment name, carried over from the subject-treatment records.
  • DOSECUM would be the total dose across the subject's exposure records for that treatment.

Note: the list of exposure fields to be read as numbers also names a field the exposure file does not carry. Guessing which field was meant would total the wrong values, so the run is rejected before any data is read and no artifact is accepted.

How to fix

Confirm which exposure column holds the dose. Here it is EXDOSE, which is already declared numeric, so remove the entry for EXDOSEN, which names no column of input/ex.csv:

input:
  TRT: input/subject_treatment.csv
  EX:
    path: input/ex.csv
    types:
      EXDOSE: float

Keep the EXDOSE entry: without it the dose is read as text and cannot be totalled.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
unknown_field
rule
INPUT-6
expected/error.yaml
phase: validation
condition: unknown_field
spec_paths:
  - input.EX.types.EXDOSEN
rule: INPUT-6
context:
  dataset: EX
  field: EXDOSEN

Inputs

Under review
2 source files

input/ex.csv

Edit
1 row
input/ex.csv
STUDYIDUSUBJIDEXTRTEXSEQEXDOSE
PILOT7Carboplatin1300

input/subject_treatment.csv

Edit
1 row
input/subject_treatment.csv
STUDYIDUSUBJIDEXTRT
PILOT7Carboplatin

Unexpected Output

Under review
No artifact is produced

No fixture files in this directory.

Shaded columns are derived— = missing value

Human review and assessment

Your review

2 questions and your comments · View benchmark discussions

Mapping spec

Generated from the benchmark YAML; do not edit by hand

Dataset NameVariable NameVariable LabelTypeCodelist/Controlled TermsCoreComputational MethodOrigin
ADEXSTUDYIDStudy IdentifiercharacterCopy value from TRT.STUDYID.Predecessor
ADEXUSUBJIDUnique Subject IdentifiercharacterCopy value from TRT.USUBJID.Predecessor
ADEXEXTRTName of TreatmentcharacterCopy value from TRT.EXTRT.Predecessor
ADEXDOSECUMCumulative DosenumericAggregate SUM(EX.EXDOSE) over records matching on the shared output keys.Derived
VersionDateAuthorDescriptionReviewerSign-off
1.72026-10-20yamaa docs buildRead a specification in the 1.0 surface as its 0.5 counterpart; state that missing values stay missing where a mapping declares no missing handler, and leave out a declared missing answer that restates a handler's default
1.62026-10-17yamaa docs buildDescribe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight
1.52026-10-17yamaa docs buildName collected precision in words instead of letter codes; state imputation fallbacks, minimum source precision, bounds ignored outside the collected period, and invalid text with no handler as an error; describe date and datetime shifts, imputation flag codes, and partial text giving no date part
1.42026-10-15yamaa docs buildState datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks
1.32026-09-29yamaa docs buildShow study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata
1.22026-09-29yamaa docs buildClassify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived
1.12026-09-29yamaa docs buildResolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML
1.0yamaa docs buildInitial generation from spec.yaml