Datasets:
Tasks:
Visual Question Answering
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| license: apache-2.0 | |
| task_categories: | |
| - visual-question-answering | |
| language: | |
| - en | |
| pretty_name: SEEDBench2 | |
| size_categories: | |
| - 10K<n<100K | |
| # Dataset Card for Dataset Name | |
| The SEEDBench2 evaluation dataset hosted by VLMEval (authorized by the author). | |
| ## Dataset Details | |
| - **Language(s) (NLP):** English | |
| - **License:** Apache 2.0 | |
| - **Repository:** https://github.com/AILab-CVC/SEED-Bench | |
| - **Paper [optional]:** https://arxiv.org/abs/2311.17092 | |
| ## Citation | |
| ```bibtex | |
| @misc{li2023seedbench2, | |
| title={SEED-Bench-2: Benchmarking Multimodal Large Language Models}, | |
| author={Bohao Li and Yuying Ge and Yixiao Ge and Guangzhi Wang and Rui Wang and Ruimao Zhang and Ying Shan}, | |
| year={2023}, | |
| eprint={2311.17092}, | |
| archivePrefix={arXiv}, | |
| primaryClass={id='cs.CV' full_name='Computer Vision and Pattern Recognition' is_active=True alt_name=None in_archive='cs' is_general=False description='Covers image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.'} | |
| } | |
| ``` | |