Datasets:

Jun-Yang
/

benchmarkdata

- {"_id":"66c4854f2e174ef05ee8ece3","id":"DreamMr/HR-Bench","author":"DreamMr","sha":"37c2d2e4cfd7b855187a99b3f6ebf286ca6cf453","lastModified":"2025-02-06T14:37:21.000Z","private":false,"gated":false,"disabled":false,"tags":["task_categories:visual-question-answering","language:en","license:other","size_categories:1K<n<10K","format:parquet","modality:text","library:datasets","library:pandas","library:mlcroissant","library:polars","arxiv:2408.15556","region:us"],"citation":null,"description":"\n\t\n\t\t\n\t\tDivide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models\n\t\n\n🌐Homepage | 📖 Paper\n\n\t\n\t\t\n\t\t📊 HR-Bench\n\t\n\nWe find that the highest resolution in existing multimodal benchmarks is only 2K. To address the current lack of high-resolution multimodal benchmarks, we construct HR-Bench. HR-Bench consists two sub-tasks: Fine-grained Single-instance Perception (FSP) and Fine-grained Cross-instance Perception (FCP). The FSP… See the full description on the dataset page: https://huggingface.co/datasets/DreamMr/HR-Bench.","downloads":1074,"likes":12,"cardData":{"license":"other","license_name":"other","license_link":"LICENSE","task_categories":["visual-question-answering"],"language":["en"],"size_categories":["n<1K"],"splits":[{"name":"val"}],"configs":[{"config_name":"hrbench_version_split","data_files":[{"split":"hrbench_4k","path":"hr_bench_4k.parquet"},{"split":"hrbench_8k","path":"hr_bench_8k.parquet"}]}],"dataset_info":[{"config_name":"hrbench_version_split","features":[{"name":"index","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"category","dtype":"string"},{"name":"A","dtype":"string"},{"name":"B","dtype":"string"},{"name":"C","dtype":"string"},{"name":"D","dtype":"string"},{"name":"cycle_category","dtype":"string"},{"name":"image","dtype":"string"}],"splits":[{"name":"hrbench_4k","num_examples":800},{"name":"hrbench_8k","num_examples":800}]}]},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"LICENSE"},{"rfilename":"README.md"},{"rfilename":"hr_bench_4k.parquet"},{"rfilename":"hr_bench_4k.tsv"},{"rfilename":"hr_bench_8k.parquet"},{"rfilename":"hr_bench_8k.tsv"}],"createdAt":"2024-08-20T12:00:15.000Z","usedStorage":12544923332}