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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

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.

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