---
license: cc-by-4.0
task_categories:
  - image-classification
tags:
  - image-forensics
  - deepfake-detection
  - inpainting-detection
  - diffusion-models
  - contrastive-learning
size_categories:
  - 1M<n<10M
---

# DiffusionPrint Patch Dataset

A dataset of 64x64 image patches for contrastive learning of diffusion-based inpainting forensics.
Each patch comes from either a real image or an AI-inpainted region generated by one of three diffusion models.

## Columns

| Column | Type | Description |
|---|---|---|
| `image` | `bytes` (PNG) | Lossless 64x64 RGB patch |
| `master_index` | `int64` | Row index in the original memmap archive |
| `patch_path` | `string` | Original relative path of the patch |
| `category` | `string` | `real` or `generated` |
| `generator_model` | `string` | `none` (real), `sd2`, `sdxl`, or `flux` |
| `has_positive` | `bool` | Whether this patch has a contrastive positive counterpart |
| `positive_master_indices` | `string` | Semicolon-separated `master_index` values of positive pairs |

## Pair Structure

Positive pairs are patches from the **same spatial location** under different conditions
(e.g. a real patch and its diffusion-reconstructed counterpart).
`positive_master_indices` stores semicolon-separated integer indices that resolve directly
against the `master_index` column -- no filesystem paths needed.

## Generator Labels

| `generator_model` | Label int |
|---|---|
| `none` (real) | 0 |
| `sd2` | 1 |
| `sdxl` | 2 |
| `flux` | 3 |

## Stats

- Total patches: 3,688,480
- Shards: 37
- Patch size: 64x64 RGB, lossless PNG