Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-rs9000--ELSA1M_track1:
+elsaEU--ELSA1M_track1:
   description: ''
   citation: ''
   homepage: ''
@@ -89,13 +89,13 @@ This dataset aims to develop effective solutions for detecting and mitigating th
 
 | Name  | Description | Link |
 | ------------- | ------------- | ---------------------| 
-| ELSA1M_track1  | Dataset of 1M images generated using diffusion model  | https://huggingface.co/datasets/rs9000/ELSA1M_track1 |
-| ELSA500k_track2  | Dataset of 500k images generated using diffusion model with diffusion attentive attribution maps [1]  | https://huggingface.co/datasets/rs9000/ELSA500k_track2 |
+| ELSA1M_track1  | Dataset of 1M images generated using diffusion model  | https://huggingface.co/datasets/elsaEU/ELSA1M_track1 |
+| ELSA500k_track2  | Dataset of 500k images generated using diffusion model with diffusion attentive attribution maps [1]  | https://huggingface.co/datasets/elsaEU/ELSA500k_track2 |
 
 
 ```python
 from datasets import load_dataset
-elsa_data = load_dataset("rs9000/ELSA1M_track1", split="train", streaming=True)
+elsa_data = load_dataset("elsaEU/ELSA1M_track1", split="train", streaming=True)
 for sample in elsa_data:
   image = sample.pop("image")
   metadata = sample