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Dataset · Hugging Face

Ka2ukiMatsuda/LongCap-Arena

LongCap-Arena Benchmark [EMNLP 2025] VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions Usage >>> from datasets import load_dataset >>> longcap_arena = load_dataset("Ka2ukiMatsuda/LongCap-Arena") >>> print(longcap_arena.keys()) dict_keys(['train.desc', 'train.rel', 'train.flu', 'val.desc', 'val.rel', 'val.flu', 'dci_val.desc', 'dci_val.rel', 'dci_val.flu', 'dci_test.desc', 'dci_test.rel', 'dci_test.flu', 'test.desc', 'test.rel'… See the full description on the dataset page: https://huggingface.co/datasets/Ka2ukiMatsuda/LongCap-Arena.

Author / organizationKa2ukiMatsuda
License (as declared)bsd-3-clause-clear
Downloads847 (as reported by Hugging Face)
Likes1
Created21 August 2025
Last updated at source22 August 2025
MLLMevaluationimage captioningmachine learning
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