Anonymized Russian Administrative Court Cases on LGBT Expression (Articles 6.21 and 20.3, KoAP RF)

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Authors: Anastasiia Iurshina
Cited by: 0

Abstract

Files lgbt_cases_symbols_anonymized.json This file contains the anonymized dataset of administrative court cases related to the public display of LGBT symbols, primarily prosecuted under Article 20.3 of the Russian Code of Administrative Offenses (display of extremist symbols). cases_6_21_anonymized.json This file contains the anonymized dataset of administrative court cases related to so-called “LGBT propaganda” provisions, prosecuted under Article 6.21 of the Russian Code of Administrative Offenses. Format The file is a JSON array. Each element represents a single court case and includes two main components: metadata: structured information extracted from the court record, such as: region court name date of decision legal articles cited outcome (fine, arrest, confiscation, etc.) judge (retained) accused (anonymized) case_text: the full text of the court decision, as published on the official court website, with personal data removed. This structure allows both quantitative analysis (e.g. counts by region or year) and qualitative analysis of judicial reasoning and language. Anonymization All personal data identifying the accused persons has been removed from both the structured metadata and the full decision texts. Names of defendants are replaced with a placeholder token (e.g. [ACCUSED]). This includes common Russian name variants such as full names and surname–initial combinations. The names of judges are intentionally preserved, as judges act in an official public capacity and their identification is relevant for institutional and legal analysis. Note: Moscow cases are excluded (they can be found in the corresponding repo as .doc files) Note: Despite our effort to redact personal info in court cases as much as possible, there might be still some personal info present.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Document type
Dataset