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Datasets:
he-yang
/
2025-rethinkdc-imagenet-el2n-ipc-100

Modalities:
Image
Formats:
parquet
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
dataset-compression
dataset-pruning
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 Deep Learning on a Data Diet: Finding Important Examples Early in Training.

Basic Usage 

from datasets import load_dataset
dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-el2n-ipc-100")

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

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

Collection including he-yang/2025-rethinkdc-imagenet-el2n-ipc-100