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.'} | |
} | |
``` | |