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Lizagrin/wikiart_captions

WikiArt Captions Subset — Multimodal Art Retrieval Dataset This dataset is a curated subset of 6,000 paintings from the WikiArt collection.It was created as part of a project on multimodal art retrieval, combining visual, textual, and semantic information. Each record represents one artwork and includes: Field Description image_row Row index in the source subset (integer) caption Automatically generated textual description (caption) using the BLIP model… See the full description on the dataset page: https://huggingface.co/datasets/Lizagrin/wikiart_captions.

sourceHugging Faceupdated 1y agoView on Hugging Face
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WikiArt Captions Subset — Multimodal Art Retrieval Dataset

This dataset is a curated subset of 6,000 paintings from the WikiArt collection. It was created as part of a project on multimodal art retrieval, combining visual, textual, and semantic information.

Each record represents one artwork and includes: | Field | Description | |-------|--------------| | image_row | Row index in the source subset (integer) | | caption | Automatically generated textual description (caption) using the BLIP model (Salesforce/blip-image-captioning-base) | | artist | Name of the artist (decoded from WikiArt labels) | | genre | Artwork genre (e.g., portrait, landscape, religious painting, etc.) | | style | Artistic style or movement (e.g., Impressionism, Romanticism, Realism, etc.) |

Generation Details

Captions were generated with BLIP-base, an image captioning model trained on large-scale web image–text pairs. All paintings were processed in batches using PyTorch, and each image’s caption was limited to 30 tokens to preserve clarity.

Example of generated captions:

  • a painting of a vase with flowers in it
  • a painting of a man with a beard and a red bag
  • a painting of a river with boats and buildings

License

The dataset is derived from WikiArt artworks and is shared for non-commercial, educational, and research purposes only.