{"url":"/dataset/eapd","name":"EAPD","full_name":"Expert-labeled Aesthetics Perception Database","description_markdown":"An expert benchmark aiming to comprehensively evaluate the aesthetic perception capacities of MLLMs.","description_withheld":null,"homepage":"https://github.com/yipoh/AesBench","introduced_date":"2024-01-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/aesbench-an-expert-benchmark-for-multimodal","title":"AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception","first_author":"Yipo Huang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"MLLM Evaluation: Aesthetics","url":"/task/mllm-evaluation-aesthetics","datasets_with_task":"/datasets/task/mllm-evaluation-aesthetics"}],"languages":[],"variants":["EAPD"],"data_loaders":[{"repo":"https://github.com/yipoh/aesbench","url":"https://github.com/yipoh/aesbench","frameworks":[]}],"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."}