Datasets:
Link paper and GitHub repository, update task categories
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by
nielsr
HF Staff
- opened
README.md
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license: apache-2.0
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task_categories:
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language:
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- en
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tags:
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- 1K<n<10K
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---
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# RefCOCOg-UMD Test Partitioning
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This dataset provides **fine-grained evaluation splits** for the RefCOCOg-UMD test set, designed for Referring Expression Comprehension (REC) tasks. Each sample is partitioned by **difficulty level** and **referential type** to enable more detailed performance analysis.
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## Dataset Description
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</tr>
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<tr>
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<td>Ambiguity_Medium.pth</td>
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<td>42.62</td>
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<td>1,659</td>
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</tr>
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<tr>
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<td>Ambiguity_Hard.pth</td>
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language:
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- en
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license: apache-2.0
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size_categories:
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- 1K<n<10K
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task_categories:
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- zero-shot-object-detection
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tags:
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- referring-expression-comprehension
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- visual-grounding
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- refcocog
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- fine-grained-evaluation
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arxiv: 2601.01526
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# RefCOCOg-UMD Test Partitioning
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[**Paper**](https://huggingface.co/papers/2601.01526) | [**Code**](https://github.com/Marloweeee/BARE)
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This dataset provides **fine-grained evaluation splits** for the RefCOCOg-UMD test set, designed for Referring Expression Comprehension (REC) tasks. Each sample is partitioned by **difficulty level** and **referential type** to enable more detailed performance analysis.
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## Dataset Description
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</tr>
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<tr>
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<td>Ambiguity_Medium.pth</td>
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<td>42.62</td> <td>1,659</td>
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</tr>
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<tr>
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<td>Ambiguity_Hard.pth</td>
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