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--- |
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dataset_info: |
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splits: |
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- name: train |
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num_examples: 39353 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-*.parquet |
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language: |
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- da |
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- en |
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pretty_name: SMK Image-Text (Danish/English) |
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size_categories: |
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- 10K<n<100K |
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license: other |
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task_categories: |
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- image-to-text |
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- feature-extraction |
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task_ids: |
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- image-captioning |
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--- |
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# Dataset Card for “SMK Image-Text (Danish/English)” |
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## Dataset Description |
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- **Source:** Statens Museum for Kunst (SMK) collection API. |
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- **Records:** **39,353** objects with paired images and bilingual metadata. |
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- **Storage:** 2 Parquet shards on the Hub (`data/train-*.parquet`), ~3 GB total each. |
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- **Languages:** Danish (`da`) and English (`en`) fields where available. |
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### Summary |
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Each row corresponds to an SMK collection object. It contains: |
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- Raw image bytes (`image_bytes`) plus thumbnails and basic image stats (width/height/size, entropy, contrast, etc.). |
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- Object metadata in Danish and English: titles, object names, artists/creators, production dates, techniques, materials, inscriptions, labels, documentation references. |
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- Rights information: `public_domain` flag and `rights` text per object. |
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--- |
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## Dataset Structure |
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### Key Fields |
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- **Images** |
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- `image_bytes` (`binary`): full-resolution image bytes. Cast to `datasets.Image()` to decode. |
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- `image_thumbnail` (`string` URL), `image_width`, `image_height`, `image_size`, `image_orientation`, `image_cropped`, `colors`, `suggested_bg_color`, `entropy`, `contrast`, `brightness`, `saturation`, `colortemp`. |
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- **Identity** |
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- `object_number`, `id`, `object_url`, `frontend_url`, `responsible_department`. |
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- **Dating & dimensions** |
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- `acquisition_date`, `acquisition_date_precision`, `production_date_en/da` (list with fields `start`, `end`, `start_prec`, `end_prec`, `period`), `dimensions` (list with fields`value`, `unit`, `part`, `type`, `notes`, `precision`). |
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- **Titles & names** |
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- `titles_en/da` (list with fields `language`, `title`, `type`, `notes`, `translation`). |
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- `object_names_en/da` (list with fields `name`, `classification_notes`). |
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- **Creators** |
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- `artist_en/da` (list of strings). |
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- `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). |
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- **Techniques & materials** |
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- `techniques_en/da`, `materials_en/da`, `medium_en/da`. |
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- **Context & documentation** |
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- `labels_en/da` (list with fields `date`, `source`, `text`, `type`). |
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- `inscriptions_en/da` (list with fields `content`, `description`, `language`, `type`, `date`, `notes`). |
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- `documentation_en/da` (list with fields `author`, `title`, `shelfmark`, `page_reference`, `year_of_publication`, `notes`). |
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- `content_description_en/da`, `production_dates_notes_en/da`. |
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- **Rights** |
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- `public_domain` (bool) and `rights` (string) per object. |
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--- |
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## Usage |
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```python |
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from datasets import load_dataset, Image |
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ds = load_dataset("V4ldeLund/SMK-image-text", split="train") |
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# Decode image bytes into PIL images |
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ds = ds.cast_column("image_bytes", Image()) |
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sample = ds[0] |
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sample["image_bytes"].show() |
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# Example: English title and production info |
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print(sample["titles_en"], sample["production_en"]) |
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``` |
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--- |
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## Intended Uses |
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- Image captioning, image text retrieval, metadata completion, museum collection exploration, multilingual vision language modelling. |
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--- |
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## Maintainer / Contact |
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- **Maintainer:** Vladimir Salnikov — v4ldesalnikov@gmail.com |
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- **Issues & questions:** Please open a discussion on the dataset’s Hugging Face page: `https://huggingface.co/datasets/V4ldeLund/SMK-image-text` |
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