V4ldeLund/SMK-image-text

Dataset Card for “SMK Image-Text (Danish/English)”

Dataset Description

• —Source: Statens Museum for Kunst (SMK) collection API.
• —Records: 39,353 objects with paired images and bilingual metadata.
• —Storage: 2 Parquet shards on the Hub (data/train-*.parquet), ~3 GB total each.
• —Languages: Danish (da) and English (en) fields where available.

Summary

Each row corresponds to an SMK collection object. It contains:

• —Raw image bytes (image_bytes) plus thumbnails and basic image stats (width/height/size, entropy, contrast, etc.).
• —Object metadata in Danish and English: titles, object names, artists/creators, production dates, techniques, materials, inscriptions, labels, documentation references.
• —Rights information: public_domain flag and rights text per object.

Dataset Structure

Key Fields

• —Images
• —image_bytes (binary): full-resolution image bytes. Cast to datasets.Image() to decode.
• —image_thumbnail (string URL), image_width, image_height, image_size, image_orientation, image_cropped, colors, suggested_bg_color, entropy, contrast, brightness, saturation, colortemp.
• —Identity
• —object_number, id, object_url, frontend_url, responsible_department.
• —Dating & dimensions
• —acquisition_date, acquisition_date_precision, production_date_en/da (list with fields start, end, start_prec, end_prec, period), dimensions (list with fieldsvalue, unit, part, type, notes, precision).
• —Titles & names
• —titles_en/da (list with fields language, title, type, notes, translation).
• —object_names_en/da (list with fields name, classification_notes).
• —Creators
• —artist_en/da (list of strings).
• —production_en/da (list with fields creator, creator_forename, creator_surname, creator_gender, creator_nationality, creator_role, creator_history, creator_lref, creator_qualifier, craftsman, birth/death dates, notes).
• —Techniques & materials
• —techniques_en/da, materials_en/da, medium_en/da.
• —Context & documentation
• —labels_en/da (list with fields date, source, text, type).
• —inscriptions_en/da (list with fields content, description, language, type, date, notes).
• —documentation_en/da (list with fields author, title, shelfmark, page_reference, year_of_publication, notes).
• —content_description_en/da, production_dates_notes_en/da.
• —Rights
• —public_domain (bool) and rights (string) per object.

Usage

from datasets import load_dataset, Image

ds = load_dataset("V4ldeLund/SMK-image-text", split="train")

# Decode image bytes into PIL images
ds = ds.cast_column("image_bytes", Image())
sample = ds[0]
sample["image_bytes"].show()

# Example: English title and production info
print(sample["titles_en"], sample["production_en"])

Intended Uses

• —Image captioning, image text retrieval, metadata completion, museum collection exploration, multilingual vision language modelling.

Maintainer / Contact

• —Maintainer: Vladimir Salnikov — v4ldesalnikov@gmail.com
• —Issues & questions: Please open a discussion on the dataset’s Hugging Face page: https://huggingface.co/datasets/V4ldeLund/SMK-image-text