---
license: other
language:
- en
pretty_name: Gen-Arena
size_categories:
- n<1K
task_categories:
- text-to-image
tags:
- text-to-image
- image-generation
- compositionality
- reference-image
- benchmark
---

# Gen-Arena

Gen-Arena is a text-to-image evaluation benchmark for compositional prompt following and reference-conditioned generation. Each sample contains a natural-language generation prompt, optional reference images, named entities, and fine-grained constraints.

Gen-Arena is introduced in the paper *SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation* as a human-annotated benchmark with entity- and constraint-level specifications.

This package contains 300 samples across 6 categories:

| Category | Samples | Unique image files | Reference slots |
| --- | ---: | ---: | ---: |
| `1-cartoon` | 50 | 56 | 56 |
| `2-game` | 50 | 103 | 104 |
| `3-sports` | 50 | 50 | 50 |
| `4-entertainment` | 50 | 50 | 50 |
| `5-competition` | 50 | 0 | 0 |
| `6-ceremony` | 50 | 30 | 50 |

## Files

- `data/gen_arena.jsonl`: unified metadata file with all 300 samples.
- `reference_images/<category>/`: reference images grouped by category.

All image paths in `data/gen_arena.jsonl` are root-relative paths.

## Schema

Each row in `data/gen_arena.jsonl` has the following fields:

- `id`: unique sample id.
- `category`: category directory name.
- `prompt`: generation prompt.
- `reference_images`: list of objects with `id` and root-relative `path`.
- `reference_image_paths`: list of root-relative image paths.
- `num_reference_images`: number of reference images for the sample.
- `entities`: list of named entities and optional reference links.
- `constraints`: list of fine-grained constraints with `id`, `type`, `text`, and `depends_on`.
- `num_entities`: entity count.
- `num_constraints`: constraint count.
- `constraint_type_counts`: counts by constraint type.

Constraint types are `attribute`, `layout`, and `relation`.

## Loading

```python
from datasets import load_dataset

dataset = load_dataset("json", data_files="data/gen_arena.jsonl", split="train")
print(dataset[0]["prompt"])
print(dataset[0]["reference_image_paths"])
```

Reference images can be loaded by joining each `reference_image_paths` value with the dataset root. For example, image paths follow the form `reference_images/1-cartoon/1-cartoon_001_Tiggy.jpg`.

## Notes

- `5-competition` is intentionally text-only and has no reference images.
- Some samples share the same reference image file after exact duplicate cleanup.
- The license and redistribution status of reference images should be verified before public release.

## Citation

Citation information will be added after the associated paper is publicly available.