---
license: unknown
task_categories:
- image-classification
language:
- en
tags:
- deepfake-detection
- synthetic-image-detection
- benchmark
size_categories:
- 10K<n<100K
---
# ArenaBench

## Dataset Description

ArenaBench is a large-scale benchmark designed for comprehensive evaluation of deepfake detection methods. It contains approximately 45K testing samples and evaluates detectors across five levels, including in-domain, cross-model, cross-manipulation, commercial models, and real-world scenarios.

## Overview
<p align="center">
  <img src="assets/arenabench_overview.png" width="900">
</p>

<p align="center">
  <em>Overview of the ArenaBench benchmark.</em>
</p>

## Benchmark Design

ArenaBench evaluates deepfake detectors under five complementary settings:

| Evaluation Track | Description |
| --- | --- |
| In-Domain | Evaluates performance on manipulation or generation domains seen during training. |
| Cross-Model | Evaluates generalization to unseen generative models. |
| Cross-Manipulation | Evaluates generalization to unseen facial manipulation techniques. |
| Commercial-Model | Evaluates detectors on images generated by recent commercial or closed-source generative models. |
| Real-world Scenarios | Evaluates robustness under realistic data distributions and practical deployment scenarios. |

## Dataset Structure

```text
ArenaBench/
├── images/
│   ├── train/
|   |   ├── real/
|   |   |   └── *.png/
|   |   └── fake/
|   |   |   └── *.png/
│   └── test/
|   |   ├── In-Domain/
|   |   |   ├── FaceForensics++/
|   |   |   |   ├── 0_real/
|   |   |   |   |   └── *.png/
|   |   |   |   ├── 1_fake/
|   |   |   |   |   └── *.png/
|   |   |   ├── stylegan3/
|   |   |   |   ├── ...
|   |   |   ├── SDXL/
|   |   |   |   ├── ...
|   |   ├── Cross-Model/
|   |   |   ├── FLUX.2/
|   |   |   |   ├── 0_real/
|   |   |   |   |   └── *.png/
|   |   |   |   ├── 1_fake/
|   |   |   |   |   └── *.png/
|   |   |   ├── GRN/
|   |   |   |   ├── .../
|   |   |   ├── ...
|   |   ├── Cross-Manipulation/
|   |   |   ├── EchoMimic/
|   |   |   |   ├── 0_real/
|   |   |   |   |   └── *.png/
|   |   |   |   ├── 1_fake/
|   |   |   |   |   └── *.png/
|   |   |   ├── OSDFace/
|   |   |   |   ├── .../
|   |   |   ├── ...
|   |   ├── Commercial-Model/
|   |   |   ├── Gpt-Image-2/
|   |   |   |   ├── 0_real/
|   |   |   |   |   └── *.png/
|   |   |   |   ├── 1_fake/
|   |   |   |   |   └── *.png/
|   |   |   ├── NanoBananaPro/
|   |   |   |   ├── .../
|   |   |   ├── ...
|   |   ├── Real-world-Scenarios/
|   |   |   ├── ScaleDF/
|   |   |   |   ├── 0_real/
|   |   |   |   |   └── *.png/
|   |   |   |   ├── 1_fake/
|   |   |   |   |   └── *.png/
|   |   |   ├── MFFI/
|   |   |   |   ├── .../
|   |   |   ├── ...
├── annotations/
|   ├── train/
|   |   └── *.json/
|   └── test/
|   |   └── *.json/
```

## Annotation Format

Each sample is represented as a JSON object:

```json
{
  "images": [
    "ArenaBench/images/test/Cross_Model/FLUX.2/1_fake/image_0103.png"
  ],
  "type": "entire face generation",
  "label": 1
}
```

## Download

The complete ArenaBench dataset can be downloaded using the Hugging Face CLI:

```bash
hf download ceil2/ArenaBench --repo-type dataset --local-dir ArenaBench
```

## Limitations and Responsible Use

ArenaBench is intended for academic research on deepfake detection and multimedia forensics. All commercial use is strictly prohibited. Users are responsible for complying with the licenses and terms of use of the original data sources.