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---
configs:
- config_name: default
data_files:
- split: test_set
path:
- data/train-*
- split: test_set_transf
path:
- data/test_*
dataset_info:
features:
- name: image
dtype: image
- name: id
dtype: string
splits:
- name: test_set
num_bytes: 60255209120.125
num_examples: 97111
- name: test_set_transf
num_bytes: 49096232796.125
num_examples: 97111
download_size: 109356949734
dataset_size: 109351441916.25
---
# ELSA - Multimedia use case
```python
from datasets import load_dataset
elsa_test_set = load_dataset("elsaEU/ELSA_D3", split="test_set", streaming=True)
elsa_test_set_transf = load_dataset("elsaEU/ELSA_D3", split="test_set_transf", streaming=True)
```
## Official page of the D3 external test set, composed by two different splits.
**ELSA Multimedia D3 is a large collection of Deep Fake images, generated using diffusion models**
This dataset was developed as part of the EU project ELSA. Specifically for the Multimedia use-case.
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.
The training set is reachable at this link: https://huggingface.co/datasets/elsaEU/ELSA_D3
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