Datasets › ENTIGEN

ENTIGEN (Ethical NaTural Language Interventions in Text-to-Image GENeration)

Introduced by Hritik Bansal et al. in How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?27 Oct 2022 archive 2025-07-28

ENTIGEN is a benchmark dataset to evaluate the change in image generations conditional on ethical interventions across three social axes -- gender, skin color, and culture. It contains 246 prompts based on an attribute set containing diverse professions, objects, and cultural scenarios.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Image Generation Text-to-Image Generation

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

ENTIGEN

1 variant name, as the archive lists them.

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