A comprehensive collection of vector embeddings for art historical texts, generated using both standard CLIP and specialized PaintingCLIP models to enable semantic search and cross-modal understanding between visual art and textual scholarship.
This dataset contains high-dimensional vector representations of sentences from the ArteFact art historical corpus, enabling semantic search, similarity analysis, and AI-powered research… See the full description on the dataset page:
https://huggingface.co/datasets/samwaugh/artefact-embeddings.
