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Organising your own artwork and captions as a Hugging Face ImageFolder dataset: what the docs…
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What this guide covers
For illustrators and artists who want to arrange their own images and captions as an image dataset. Summarises three Hugging Face datasets documentation pages on folder layout, the metadata file, caption columns and split detection, with the licence file quoted. Documentation only; nothing was installed, built or uploaded.
More about this guide
Guide ID: art_01M6NDF48ZEEN3VFW4GS33ET79
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Guide title
Organising your own artwork and captions as a Hugging Face ImageFolder dataset: what the docs state
Coverage
For illustrators and artists who want to arrange their own images and captions as an image dataset. Summarises three Hugging Face datasets documentation pages on folder layout, the metadata file, caption columns and split detection, with the licence file quoted. Documentation only; nothing was installed, built or uploaded.
Useful starting points
- If all images sit in one folder or at mixed folder depths, no label column is added automatically unless drop_labels is set to false.
- Index a row first and then the image column, so a large dataset does not decode every image.
- The README YAML configs entry needs a config_name even when there is only one configuration.
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