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Datasets:
he-yang
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2025-rethinkdc-imagenet-gvbsm-ipc-100

Modalities:
Image
Formats:
parquet
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
dataset-compression
dataset-distillation
ipc-100
Libraries:
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224
class_id
int32
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Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"

Dataset created according to the paper Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching.

Basic Usage 

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

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

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Size of downloaded dataset files:
12.3 GB
Size of the auto-converted Parquet files:
12.3 GB
Number of rows:
100,000

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