Datasets › FineCops-Ref
FineCops-Ref
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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