language:en size_categories:100K<n<1M format:parquet modality:image library:datasets library:dask library:mlcroissant library:polars arxiv:2502.06434 region:us dataset-compression dataset-pruning ipc-200

---
language: 
- en
tags:
- dataset-compression
- dataset-pruning
- ipc-200
---

# Dataset used for paper -> "[Rethinking Dataset Compression: Shifting Focus From Labels to Images](https://arxiv.org/abs/2502.06434)"
Dataset created according to the paper [Imagenet: A large-scale hierarchical image database](https://ieeexplore.ieee.org/document/5206848).

## Basic Usage

```python
from datasets import load_dataset
dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-random-ipc-200")
```

For more information, please refer to the [Rethinking-Dataset-Compression](https://github.com/ArmandXiao/Rethinking-Dataset-Compression)