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Download README.md from cver91/uspl1: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
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https://huggingface.co/datasets/cver91/uspl1/resolve/main/README.md
- Command line
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hf download hf://datasets/cver91/uspl1/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/cver91/uspl1/resolve/main/README.md
2.35 kB
metadata
pretty_name: Unsplash JPEG Max
license: other
license_name: unsplash-license
license_link: https://unsplash.com/license
size_categories:
- 1M<n<10M
configs:
- config_name: default
data_files:
- split: train
path: data/*.tar
- config_name: index
data_files:
- split: train
path: metadata/index/*.parquet
- config_name: platform
data_files:
- split: train
path: platform/*.parquet
Unsplash JPEG Max
Full-resolution Unsplash photos, fetched from the Unsplash CDN at the highest JPEG quality it serves
(?fm=jpg&q=100&chromasub=444: ≈ IJG quality 98, 4:4:4, original pixel size), plus per-photo metadata.
Unsplash+ (premium, watermarked) photos are not included.
| Images | 2,094,223 (18.0TB) |
| Image shards | 600 × ~30 GB (data/train-*.tar) |
| Platform metadata rows | 146,294 in 1 part(s) (platform/part-*.parquet) |
Last updated 2026-10-05 17:02 UTC. The dataset is uploaded incrementally; new shards and parts are appended, existing files never change.
Layout
data/train-XXXXXX.tar— WebDataset shards. Each sample is<photo_id>.jpg(bytes exactly as served by the CDN) +<photo_id>.json(list record, file info incl. sha256 / size / quality, access flags incl.flagged, the original's EXIF from the CDNcdn_meta, andnapiplatform metadata when it had already been collected at download time).metadata/index/train-XXXXXX.parquet— one row per image of the matching shard (photo_id, size, sha256, dimensions, caption, page URL, …).platform/part-XXXXXX.parquet— Unsplash platform metadata (description, tags, likes/views/downloads, location, EXIF, photographer, …), latest snapshot per photo;raw_jsonholds the complete original record. Coverage grows over time and is independent of the image shards; join onphoto_id=id.
Loading
from datasets import load_dataset
images = load_dataset("cver91/unsplash-jpeg-max", split="train", streaming=True)
index = load_dataset("cver91/unsplash-jpeg-max", "index", split="train")
platform = load_dataset("cver91/unsplash-jpeg-max", "platform", split="train")
License
Photos are distributed on Unsplash under the Unsplash License. Keep photographer attribution
(page_url, user_name / user_username) when using them.