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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: give every adverse event record its subject's age (AGE) and sex (SEX) from the subject-level analysis dataset (ADSL).

Input: adverse event records carrying the reported term (AETERM), and the ADSL file the study's subject-level specification saves, read as a plain file that does not name the specification that produced it.

Variables:

  • AGE and SEX would be the subject's values in ADSL, repeated on each of their events.

Note: a variable taken from ADSL keeps the name, type and label the specification that builds ADSL declares, so that specification must be named. A file read on its own states none of them, so the run is refused before any record is read.

How to fix

Name the specification that produces the ADSL file in the input's schema, so its declared variables type both the file and the copied columns:

input:
  ADSL:
    path: adsl.csv
    schema: spec_adsl.yaml
    key: [STUDYID, USUBJID]

A dataset that cannot name its producer declares each variable itself, with its own type and label, reading ADSL.AGE and ADSL.SEX.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
prohibited_construct
rule
SPEC-9
expected/error.yaml
phase: validation
condition: prohibited_construct
spec_paths:
  - columns[4].copy.dataset
rule: SPEC-9
context:
  dataset: ADSL

Inputs

Under review
2 source files

input/ae.csv

Edit
2 rows
input/ae.csv
STUDYIDUSUBJIDAESEQAETERM
YAMAA-011HEADACHE
YAMAA-011NAUSEA

input/dm.csv

Edit
2 rows
input/dm.csv
STUDYIDUSUBJIDAGESEX
YAMAA-0164F
YAMAA-0147M

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
ADAESTUDYIDStudy IdentifiercharacterCopy value from AE.STUDYID.Predecessor
ADAEUSUBJIDUnique Subject IdentifiercharacterCopy value from AE.USUBJID.Predecessor
ADAEAESEQSequence NumbernumericCopy value from AE.AESEQ.Predecessor
ADAEAETERMReported Term for the Adverse EventcharacterCopy value from AE.AETERM.Predecessor
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