Peru GDP real-time dataset (1994-2025): Tracking three decades of revisions

This data article introduces a comprehensive real-time dataset (RTD) of Peru's Gross Domestic Product (GDP) growth rates from 1994 to 2025. The dataset was constructed by systematically collecting and processing three decades of the Peruvian Central Reserve Bank (BCRP) Weekly Reports and compiled into over 1000 structured data files organized across three processing tiers (raw, input, and output). For the 1994-2012 period, data were digitized from archival hardcover volumes using Optical Character Recognition (OCR) with rigorous manual verification. Post-2013 data were integrated via automated web-scraping and PDF extraction pipelines from digital publications. The resulting dataset includes monthly, quarterly, and annual growth rates for aggregate GDP and eight economic sectors, organized in two complementary formats: vintage (rows indexed by sector and publication month; columns correspond to target periods) and release (rows correspond to target periods; columns index the $h$ th published estimate for that period, given each economic sector). The collection includes variants for base-year adjustments and identifies major benchmark revisions. All data are provided in CSV format with comprehensive documentation. An open-source Python pipeline enables full reproducibility and future updates. This RTD serves as an important resource for researching GDP revision patterns, real-time forecasting accuracy, nowcasting model evaluation, and cross-country comparisons of statistical practices in emerging economies.