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README.md

@@ -1,19 +1,21 @@
+
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: class_id
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 7506270382.0
-    num_examples: 100000
-  download_size: 7506698850
-  dataset_size: 7506270382.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language: 
+- en
+tags:
+- dataset-compression
+- dataset-pruning
+- ipc-100
 ---
+
+# Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"
+Dataset created according to the paper [Coverage-centric Coreset Selection for High Pruning Rates](https://arxiv.org/abs/2210.15809).
+
+## Basic Usage
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-ccs-ipc-100")
+```
+
+For more information, please refer to the [Rethinking-Dataset-Compression](https://github.com/ArmandXiao/Rethinking-Dataset-Compression)