Datasets:

he-yang
/

2025-rethinkdc-imagenet-lpld-ipc-100

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

dataset-compression

dataset-distillation

Libraries:

Dataset card Data Studio Files Files and versions Community

Dataset Viewer

Auto-converted to Parquet

Split (1)

train · 100k rows

Search is not available for this dataset

image imagewidth (px) 224 224	class_id int32 0 434
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
	0

End of preview. Expand in Data Studio

Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"

Dataset created according to the paper Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?.

Basic Usage

from datasets import load_dataset
dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-lpld-ipc-100")

For more information, please refer to the Rethinking-Dataset-Compression

Downloads last month: 283

Size of downloaded dataset files:

Size of the auto-converted Parquet files:

Number of rows:

Collection including he-yang/2025-rethinkdc-imagenet-lpld-ipc-100

Rethinking-Large-scale-Dataset-Compression

Distilled and pruning datasets used in the paper "Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images" • 37 items • Updated 27 days ago