Russian Semantic Triplets Dataset

RSTD (Russian Semantic Triplet Dataset) is a specialized corpus of semantic triplets designed for modeling context-dependent meaning representations within the Quantum Natural Language Processing (QNLP) formalism. The dataset enables empirical verification of quantum-like effects—superposition, interference, and entanglement—in natural language structures. Sources: Heterogeneous corpora (Wikipedia, Taiga Corpus: Lenta.ru + Proza.ru) Context Types: Connotative, metaphorical, and live usage contexts Annotation Focus: Capturing "cognitive shift" events and polysemy resolution patterns Quantum-Like Verification Layer Correlation matrices encoding semantic dependencies between triplet components CHSH parameter S (Clauser-Horne-Shimony-Holt inequality):