Datasets:
COCO-Attr
COCO-Attr is the COCO-based evaluation dataset used in:
Representation and Reference Selection in Training-Free Synthetic Image Attribution
Paper: https://arxiv.org/abs/2607.12052
The dataset contains images from 10 synthetic image generators and supports two reference-based source attribution protocols:
- Arbitrary references
- Resynthesis references
Generators
The dataset contains images from the following 10 generators:
- Flux2
- Freepik
- Lumina
- Photon
- Pixart
- Playground
- SD3
- SD35
- SDXL
- Tencent_Hunyuan
Dataset Statistics
| Component | Count |
|---|---|
| Query images | 1,000 |
| Pre-generated reference images | 39,429 |
| Resynthesis reference images | 100,000 |
| Resynthesis TAR shards | 100 |
| Arbitrary-reference protocol rows | 1,000,000 |
| Resynthesis-reference protocol rows | 100,000 |
The query set contains 100 images per generator.
The query images and pre-generated reference images are derived from disjoint COCO source splits. Only the 1,000 validation-side images actually used as queries in the reported experiments are included.
Repository Organization
Query images
query/
Contains the 1,000 evaluation queries, organized by generator.
Pre-generated references
references/pre_generated/
Contains the 39,429 images forming the arbitrary-reference pool, organized by generator.
Resynthesis references
references/resynthesis/shards/
Contains 100 TAR shards. Each shard stores exactly 1,000 resynthesized reference images.
Metadata
metadata/images.csv
Metadata for the query images and pre-generated reference images.
metadata/query_prompt_content.csv
Content descriptions extracted from the 1,000 query images and used for resynthesis.
metadata/resynthesis_shards.csv
Shard-level metadata, including shard path, number of files, size, and SHA256 checksum.
Protocols
protocols/arbitrary_reference.csv
Defines the arbitrary-reference assignments used in the experiments.
protocols/resynthesis_reference.csv
Defines the resynthesis-reference assignments and maps every resynthesized image to its TAR shard and member path.
Arbitrary-Reference Protocol
For each query and each candidate generator, the released protocol contains up to 100 pre-generated references.
The CSV preserves the exact reference assignments used in the experiments. A reference budget of (M) is obtained by selecting rows satisfying:
sample_id < M
For example, the reported experiment with (M=10) uses reference samples with sample_id from 0 to 9.
The released arbitrary-reference protocol corresponds to the experimental random_full setting.
Resynthesis-Reference Protocol
For each query and each candidate generator, 10 references are generated by resynthesizing the semantic content of the query with that candidate generator.
Therefore, the dataset contains:
1,000 queries ?? 10 candidate generators ?? 10 samples = 100,000 resynthesis references.
The resynthesis protocol provides:
- query image path
- ground-truth query generator
- candidate generator
- prompt
- sample ID
- logical image path
- TAR shard path
- TAR member path
- SHA256 checksum
- file size
Resynthesis Storage
The 100,000 resynthesis images are stored in 100 TAR shards rather than as individual repository files.
Each shard contains exactly 1,000 images.
metadata/resynthesis_shards.csv records the SHA256 checksum and size of every shard.
protocols/resynthesis_reference.csv additionally records the SHA256 checksum and file size of every individual resynthesis image.
Integrity Verification
Before release, the dataset was validated to ensure that:
- all 1,000 query images are present;
- all 39,429 pre-generated reference images are present;
- all 100,000 resynthesis images are represented;
- all 100 TAR shards contain exactly 1,000 files;
- all protocol paths are repository-relative;
- TAR members exactly match the protocol manifest;
- every resynthesis image was verified by SHA256 after being read back from its TAR shard;
- shard-level SHA256 checksums are recorded.
Citation
If you use COCO-Attr, please cite:
Representation and Reference Selection in Training-Free Synthetic Image Attribution
https://arxiv.org/abs/2607.12052
Related Dataset
BC-Attr-6 is the complementary benchmark used in the same work for evaluating arbitrary, semantically aligned, and resynthesis reference selection.
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