Update README.md

README.md

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 This is the dataset proposed in our paper [**Image Copy Detection for Diffusion Models**](https://arxiv.org/abs/2410.xxxxx) (NeurIPS 2024).
 
 D-Rep consists of 40, 000 image-replica pairs, in which each replica is generated by a diffusion model. The 40, 000 image-replica pairs are manually labeled with 6 replication levels ranging from 0 (no replication) to 5 (total replication). We divide D-Rep into a training set with 90% (36, 000) pairs and a test set with the remaining 10% (4, 000) pairs.
+
+# Download 
+
+### Automatical
+Install the [datasets](https://huggingface.co/docs/datasets/en/installation) library first, by:
+```
+pip install datasets
+```
+Then it can be downloaded automatically with
+```python
+import numpy as np
+from datasets import load_dataset
+dataset = load_dataset('WenhaoWang/D-Rep')
+```