Download README from S3IC/flickr: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/datasets/S3IC/flickr/resolve/main/README
- Command line
-
hf download hf://datasets/S3IC/flickr/README
-
curl -L -o README https://huggingface.co/datasets/S3IC/flickr/resolve/main/README
1.36 kB
| pretty_name: "Flickr30k" | |
| license: "unknown" | |
| language: | |
| - en | |
| tags: | |
| - image | |
| - text | |
| - captioning | |
| - retrieval | |
| task_categories: | |
| - image-to-text | |
| - text-to-image | |
| # Flickr30k | |
| This repository hosts a copy of the widely used **Flickr30k** dataset, | |
| a benchmark for image captioning and image–text retrieval. | |
| Flickr30k contains images paired with multiple human-written English captions per image and is widely used in multimodal research. | |
| ## Contents | |
| Commonly included files/fields (exact filenames may vary): | |
| - Images (or image references) | |
| - Captions (often 5 captions per image) | |
| - Optional split / id fields | |
| A typical record conceptually looks like: | |
| ```json | |
| { | |
| "image": "<image>", | |
| "caption": ["...", "...", "...", "...", "..."] | |
| } | |
| ``` | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("nlphuji/flickr30k") | |
| ``` | |
| ## Source | |
| This dataset is taken from the Hugging Face dataset repository: | |
| https://huggingface.co/datasets/nlphuji/flickr30k | |
| ## License | |
| The Hugging Face dataset card does not clearly specify a single unified license (“unknown” is shown in some metadata). | |
| Because the images originate from Flickr, usage is typically subject to the relevant **Flickr Terms & Conditions** and any per-image licensing. | |
| Please review the dataset’s original homepage and usage terms before redistribution or commercial use. | |