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

Downloads last month: 76

Total file size:

24.6 GB