Attention to women's rights in NGO press releases, 1996–2018: A curated, coded dataset of organizational attention to women and violence against women

This dataset contains 31,937 press releases from four leading human rights organizations (Human Rights Watch, Amnesty International, Freedom House, ACLU) spanning 1996-2018, with document-level indicators of attention to women's rights and violence against women.<br>Each document is classified with:<br>• Two binary labels: (1) women/girls depicted as victims; (2) women's/gender rights as main topic• Single best-fitting UDHR category (18 categories)<br>• Country ISO3 code for geographic identification<br>Human validation with 200 documents demonstrates strong intercoder reliability (Cohen's κ = 0.848 for women-as-victims, κ = 0.826 for women's-rights-as-topic, κ = 0.783 for UDHR categories, κ = 1.000 for country identification).<br>The dataset enables temporal and cross-national analysis of organizational attention patterns, with straightforward merges to standard country-level datasets (CIRI, PTS, V-Dem) via ISO3 codes.Package Contents:• Core datasets (classified_docs.csv: 31,937 documents; classified_locs.csv: geographic mapping)<br>• Validation materials (intercoder reliability metrics, validation sample, UDHR codebook)• Diagnostic files (unmatched country assignments)<br>• Visualizations of data• Comprehensive README with usage examples in R and PythonAll data are derived from publicly available organizational press releases. The classification pipeline combines LLM-based coding with deterministic fallbacks and rigorous human validation, ensuring valid measurements suitable for cross-national comparative research and temporal analysis of advocacy priorities.