Update README.md

README.md

@@ -85,6 +85,14 @@ This dataset was developed as part of the EU project ELSA. Specifically for the
 Official webpage: https://benchmarks.elsa-ai.eu/
 This dataset aims to develop effective solutions for detecting and mitigating the spread of deep fake images in multimedia content. Deep fake images, which are highly realistic and deceptive manipulations, pose significant risks to privacy, security, and trust in digital media. This dataset can be used to train robust and accurate models that can identify and flag instances of deep fake images.
 
+### ELSA versions
+
+| 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 |
+
+
 ```python
 from datasets import load_dataset
 elsa_data = load_dataset("rs9000/ELSA1M_track1", split="train", streaming=True)
@@ -114,5 +122,5 @@ The Metadata for generated images are:
 
 ### Dataset Curators
 
-- Leonardo (rosario.dicarlo.ext@leonardo.com)
-- UNIMORE
+- Leonardo Labs (rosario.dicarlo.ext@leonardo.com)
+- UNIMORE (https://aimagelab.ing.unimore.it/imagelab/)