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--- |
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pretty_name: "Flickr30k" |
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license: "unknown" |
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language: |
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- en |
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tags: |
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- image |
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- text |
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- captioning |
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- retrieval |
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task_categories: |
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- image-to-text |
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- text-to-image |
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--- |
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This repository hosts a copy of the widely used **Flickr30k** dataset, |
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a benchmark for image captioning and image–text retrieval. |
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Flickr30k contains images paired with multiple human-written English captions per image and is widely used in multimodal research. |
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Commonly included files/fields (exact filenames may vary): |
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- Images (or image references) |
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- Captions (often 5 captions per image) |
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- Optional split / id fields |
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A typical record conceptually looks like: |
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```json |
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{ |
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"image": "<image>", |
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"caption": ["...", "...", "...", "...", "..."] |
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} |
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``` |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("nlphuji/flickr30k") |
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``` |
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This dataset is taken from the Hugging Face dataset repository: |
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https://huggingface.co/datasets/nlphuji/flickr30k |
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The Hugging Face dataset card does not clearly specify a single unified license (“unknown” is shown in some metadata). |
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Because the images originate from Flickr, usage is typically subject to the relevant **Flickr Terms & Conditions** and any per-image licensing. |
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Please review the dataset’s original homepage and usage terms before redistribution or commercial use. |
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