Datasets › FineCops-Ref

FineCops-Ref

Introduced by Junzhuo Liu et al. in FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension23 Sep 2024 archive 2025-07-28

FineCops-Ref is a dataset for Compositional Referring Expression Comprehension (REC) that rigorously evaluates Vision-Language Models (VLMs) on compositional reasoning and their ability to identify inconsistencies between images and text. Beyond standard REC tasks, it challenges models with fine-grained correspondences involving objects, attributes, and relationships. The dataset comprises both training and testing sets, designed to thoroughly assess model performance across various difficulty level.

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 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

Variants archive 2025-07-28

  • FineCops-Ref

1 variant name, as the archive lists them.

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