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Summary
EditUnder reviewWhat this benchmark meansREADME.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: keep one record per serious adverse event, carrying its
dictionary-derived term (AEDECOD).
Input: collected adverse events, one record per event, with the
seriousness flag (AESER).
Variables:
AESEQwould be the collected sequence number of the event.AEDECODwould be the dictionary-derived term as collected.
Note: which events become records is stated in two places at once: a selection of serious events for the whole dataset, and a separate template that builds one record from every collected event. The two could disagree about which events appear, so the run is rejected before any data is read and no artifact is accepted.
How to fix
Decide which events the dataset holds, then state that selection once. To
keep only serious events, move the condition into the row template and drop
the root filter:
rows:
- id: event
dataset: AE
filter: "AE.AESER = 'Y'"
Without any row template, the root filter alone selects the records.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- validation
- condition
- conflicting_row_construction
- rule
- ROW-9
expected/error.yaml
phase: validation
condition: conflicting_row_construction
spec_paths:
- filter
- rows
rule: ROW-9
Inputs
Under review1 source fileinput/ae.csv
Edit3 rows| STUDYID | USUBJID | AESEQ | AEDECOD | AESER |
|---|---|---|---|---|
| YAMAA-01 | 1 | HEADACHE | N | |
| YAMAA-01 | 2 | PNEUMONIA | Y | |
| YAMAA-01 | 1 | NAUSEA | N |
Unexpected Output
Under reviewNo artifact is producedNo fixture files in this directory.
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Computational Method | Origin |
|---|---|---|---|---|---|---|---|
| ADAE | STUDYID | Study Identifier | character | Copy value from AE.STUDYID. | Predecessor | ||
| ADAE | USUBJID | Unique Subject Identifier | character | Copy value from AE.USUBJID. | Predecessor | ||
| ADAE | AESEQ | Sequence Number | numeric | Copy value from AE.AESEQ. | Predecessor | ||
| ADAE | AEDECOD | Dictionary-Derived Term | character | Copy value from AE.AEDECOD. | Predecessor |
| Template | Include when |
|---|---|
| event |
| Version | Date | Author | Description | Reviewer | Sign-off |
|---|---|---|---|---|---|
| 1.7 | 2026-10-20 | yamaa docs build | Read 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 | ||
| 1.6 | 2026-10-17 | yamaa docs build | Describe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight | ||
| 1.5 | 2026-10-17 | yamaa docs build | Name 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 | ||
| 1.4 | 2026-10-15 | yamaa docs build | State datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks | ||
| 1.3 | 2026-09-29 | yamaa docs build | Show study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata | ||
| 1.2 | 2026-09-29 | yamaa docs build | Classify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived | ||
| 1.1 | 2026-09-29 | yamaa docs build | Resolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML | ||
| 1.0 | yamaa docs build | Initial generation from spec.yaml |