2026-10-07T11:10:49Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34028844 2026-09-30T03:41:35Z category_25960 category_27634 category_28864 category_29173 category_29890 item_type_3 month_year_09_2026

Anomalías en la contratación pública del Perú: base de ítems adjudicados, indicadores de riesgo y validación externa, 2022–2024 Miluska Rodriguez-Saavedra (23594950) Economics of education Public administration Artificial intelligence not elsewhere classified Machine learning not elsewhere classified Statistical data science public procurement status anomaly detection task Machine learning algorighms <p dir="ltr">This dataset contains item-level public procurement records from Peru for the period 2022–2024, prepared for the analysis of anomalous patterns in public contracting. The unit of analysis is the awarded procurement item. The database integrates information on contracting entities, winning suppliers, procurement procedures, number of bidders, reference and awarded amounts, timing variables, supplier–entity relationships, concentration indicators, consortium participation, and traditional procurement risk flags.</p><p dir="ltr">The dataset also includes a traditional risk index based on six red-flag indicators and external validation variables related to subsequent supplier sanctions and contractual penalties. These validation variables are intended for ex post assessment and should not be used as predictors in unsupervised anomaly-detection models.</p><p dir="ltr">The database was constructed from official public procurement information from Peru’s Organismo Especializado para las Contrataciones Públicas Eficientes (OECE/SEACE) and related official sanction and penalty records. It is designed to support reproducible research using unsupervised machine-learning methods, including Autoencoders and Isolation Forest, for the detection and explanation of atypical procurement patterns.</p><p dir="ltr">The dataset covers 201,524 awarded items from 2022 to 2024 and includes variables related to competition, prices, procedures, timing, supplier–entity relationships, traditional risk indicators, and external validation outcomes.</p> 2026-09-30T03:41:35Z Dataset Dataset 10.6084/m9.figshare.34028844.v1 https://figshare.com/articles/dataset/Anomal_as_en_la_contrataci_n_p_blica_del_Per_base_de_tems_adjudicados_indicadores_de_riesgo_y_validaci_n_externa_2022_2024/34028844 CC BY 4.0