|
Download README.md from Zahide4/testdataset: direct link, hf CLI and curl.
- Browser
- Download file 1.31 kB
-
https://huggingface.co/datasets/Zahide4/testdataset/resolve/main/README.md
- Command line
-
hf download hf://datasets/Zahide4/testdataset/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Zahide4/testdataset/resolve/main/README.md
1.31 kB
| tags: | |
| - image-search | |
| - siglip | |
| - wikimedia-commons | |
| - webdataset | |
| # Licensed image search corpus | |
| A public, reproducible image-search dataset built from Wikimedia Commons. Each | |
| WebDataset sample contains a 384px WebP derivative and JSON source metadata. | |
| Images are selected using their source copyright-license metadata: CC0/public | |
| domain, CC BY, and CC BY-SA; NC and ND are excluded. There is no single blanket | |
| license for the images. Consult each sample's license, license_url, creator, | |
| and source_url before reuse. Source metadata does not establish other rights. | |
| Fields include image_id, title, creator, license, source_url, full_url, width, | |
| height, description, tags, and source SHA-1. The retrieval model is | |
| ViT-B-16-SigLIP pretrained on webli, producing normalized 768-dimensional vectors. | |
| Archives preserve alpha where available; embedding composites transparency onto | |
| white. The originals remain at their source URLs. | |
| Build code: https://github.com/Zahide4/imgsearch/blob/main/cloud_corpus.py | |
| The pipeline uses sequential API requests per worker, bounded filename ranges, | |
| API-generated thumbnails, retry backoff, and saved restart cursors. | |
| The corpus is a prototype, has uneven subject coverage, and has not been | |
| comprehensively reviewed for content quality or suitability for any specific use. | |