datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ikea-us-products-2025
IKEA US Product Dataset (July 2025)
This dataset is a structured snapshot of ~30,000 IKEA US products, scraped from the official IKEA US website in July 2025.
It contains product metadata (titles, descriptions, categories, materials, care instructions, etc.) and associated product images.
Contents
products-us.jsonl — one JSON object per product with structured fields.
images-us/ — the first "hero" image for each product, downloaded via image_downloader_first.py.… See the full description on the dataset page: https://huggingface.co/datasets/jeffreyszhou/ikea-us-products-2025.OmniBenchmark-1K
OmniBenchmark-1K
OmniBenchmark-1K is a challenging benchmark for Class-Incremental Continual Learning designed to evaluate performance on very long task sequences, ranging from 100 to over 300 non-overlapping tasks.
The dataset was introduced in the paper Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts.
GitHub: https://github.com/LMMMEng/CaRE
Paper: Hugging Face | arXiv
Description
OmniBenchmark-1K provides a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/LMMM2025/OmniBenchmark-1K.ikea-us-products-2025
IKEA US Product Dataset (July 2025)
This dataset is a structured snapshot of ~30,000 IKEA US products, scraped from the official IKEA US website in July 2025.
It contains product metadata (titles, descriptions, categories, materials, care instructions, etc.) and associated product images.
Contents
products-us.jsonl — one JSON object per product with structured fields.
images-us/ — the first "hero" image for each product, downloaded via image_downloader_first.py.… See the full description on the dataset page: https://huggingface.co/datasets/doniariz/ikea-us-products-2025.visual_ai_at_neurips2025_jina
Dataset Card for Voxel51/visual_ai_at_neurips2025
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_jina")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/visual_ai_at_neurips2025_jina.visual_ai_at_neurips2025_nomic
Dataset Card for Voxel51/visual_ai_at_neurips2025
This is a FiftyOne dataset with 1134 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/visual_ai_at_neurips2025_nomic")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/visual_ai_at_neurips2025_nomic.