Datasets › GEMRec-18K

GEMRec-18K

Introduced by Yuanhe Guo et al. in GEMRec: Towards Generative Model Recommendation4 Aug 2023 archive 2025-07-28

GEMRec-18K is a dense prompt-model interaction dataset that consists of 18K images generated by pairing 200 generative models with 90 prompts collected from real-world usages. This dataset builds the cornerstone for exploring generative model recommendation and can be useful for understanding generative models.

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

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • GEMRec-18K

1 variant name, as the archive lists them.

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