metadata
dataset_info:
features:
- name: image_url
dtype: string
- name: show
dtype: string
- name: designer
dtype: string
- name: embedding
list: float32
length: 768
splits:
- name: train
num_bytes: 3009108815
num_examples: 933328
download_size: 3463198535
dataset_size: 3009108815
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Vogue Runway Image-Embedding Corpus
Dataset of Vogue Runway images and embeddings.
| Metric | Value |
|---|---|
| Designers | 1 749 |
| Collections | 25 876 |
| Images / Looks | 933 328 |
| Years covered | 1990 → 2025 |
| Embedding model | google/vit-base-patch16-224 (mean-pooled CLS tokens) |
| Vector size | 768 float32 |
from datasets import load_dataset
ds = load_dataset("tonyassi/vogue933k-embedding", streaming=True, split="train")
for i, row in zip(range(10), ds): print(row)