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DefectRadar Human Annotations

Human expert annotations of definitional defects in Ukrainian legislation. Gold-standard labels for the LegDefQA benchmark.

Annotation Task

Given a legal definition extracted from Ukrainian legislation, the annotator classifies it along two independent dimensions.

Dimension 1: Circulus in definiendo

Question: Does the definition add at least one distinguishing criterion that is not already present in the term itself?

Label Description Example
TRUE_DEFECT Definition is normatively empty -- it restates the term without adding content "програмно-апаратна помилка" defined as "помилка у програмному забезпеченні"
DOMAIN_REUSE Root word repeats but the genus provides substantive narrowing "Державний реєстр лікарських засобів" defined as "єдина державна інформаційна система, що містить відомості про зареєстровані лікарські засоби"
FALSE_POSITIVE Pipeline error -- no actual morphological or semantic overlap Rare; indicates extraction or lemmatization error

Dimension 2: Ignotum per ignotum

Question: Can a jurist apply this norm without consulting other laws for the meaning of terms used in the definition?

Label Description Example
CRITICAL Term undefined anywhere in the legislative corpus; norm is inapplicable without subjective interpretation "креативне вираження" -- not defined in any Ukrainian law
CROSS_REF Term is defined in another law; an explicit cross-reference would resolve the gap Financial terms in payment services law defined only in Banking Law
COMMON Well-known term; no statutory definition needed General terms like "особа", "майно"
FALSE_POSITIVE Pipeline error -- term is actually defined in the same law Extraction missed the definition

Sampling Strategy

300 definitions sampled from 5,799 extracted by DefectRadar from 44,021 active Ukrainian legislative acts:

Stratum Count Description
circulus 50 Pipeline flagged circulus only
ignotum 100 Pipeline flagged ignotum only
both 50 Pipeline flagged both defects
clean 100 Pipeline found no defects

Data Schema

Each annotation record contains:

{
  "annotator_id": "string",
  "definition_id": 1234,
  "rada_id": "1089-IX",
  "definiendum": "term being defined",
  "pipeline_circulus": true,
  "pipeline_ignotum": false,
  "human_circulus": "TRUE_DEFECT|DOMAIN_REUSE|FALSE_POSITIVE|SKIPPED",
  "human_circulus_comment": "optional free text",
  "human_ignotum": "CRITICAL|CROSS_REF|COMMON|FALSE_POSITIVE|SKIPPED",
  "human_ignotum_comment": "optional free text",
  "timestamp": "2026-06-02T...",
  "stratum": "circulus|ignotum|both|clean"
}

Annotation Tool

Interactive tool: overthelex/defectradar-annotator

Usage

from datasets import load_dataset
# After consolidation:
ds = load_dataset("overthelex/defectradar-annotations")

Related Resources

  • Pipeline output: overthelex/ua-defectradar (5,799 definitions with pipeline labels)
  • Paper: DefectRadar: Automated Detection of Definitional Defects in Legislation (Ovcharov & Kyrychenko, 2026)

Citation

@article{ovcharov2026defectradar,
  title={DefectRadar: Automated Detection of Definitional Defects in Legislation via Morpho-Semantic NLP Pipeline over 24,000 Ukrainian Laws},
  author={Ovcharov, Volodymyr and Kyrychenko, Ihor},
  year={2026}
}
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