Unifying Dataset Pruning and Distillation
Collection
Distilled and pruning datasets used in the paper "Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression", ICML 2026 • 37 items • Updated
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image imagewidth (px) 224 224 | class_id int32 0 687 |
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Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"
Dataset created according to the paper An Empirical Study of Example Forgetting during Deep Neural Network Learning.
Basic Usage
from datasets import load_dataset
dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-forgetting-ipc-100")
For more information, please refer to the Rethinking-Dataset-Compression
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