{"url":"/dataset/wiki-imagereview1-0","name":"Wiki-ImageReview1.0","full_name":"https://huggingface.co/datasets/naist-nlp/Wiki-ImageReview1.0","description_markdown":"We introduce a novel task for LVLMs, which involves reviewing the good and bad points of a given image. We construct a benchmark dataset containing 207 images selected from Wikipedia. Each image is accompanied by five review texts and a manually annotated ranking of these texts in both English and Japanese.","description_withheld":null,"homepage":"","introduced_date":"2024-02-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/evaluating-image-review-ability-of-vision","title":"IRR: Image Review Ranking Framework for Evaluating Vision-Language Models","first_author":"Kazuki Hayashi","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Wiki-ImageReview1.0"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}