lmms-lab/SEED-Bench

Dataset

4

stars

10

commits

2

linked in READMEs

Mar 8, 2024

updated

Browse cluster: Multimodal Document and Visual Understanding β†’

README

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | πŸ“š Documentation | πŸ€— Huggingface Datasets

This Dataset

This is a formatted version of SEED-Bench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@article{li2023seed,
  title={Seed-bench: Benchmarking multimodal llms with generative comprehension},
  author={Li, Bohao and Wang, Rui and Wang, Guangzhi and Ge, Yuying and Ge, Yixiao and Shan, Ying},
  journal={arXiv preprint arXiv:2307.16125},
  year={2023}
}

Contributors

kcz358

10 commits

lmms-lab/SEED-Bench

Dataset

4

stars

10

commits

2

linked in READMEs

Mar 8, 2024

updated

Browse cluster: Multimodal Document and Visual Understanding β†’

README

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | πŸ“š Documentation | πŸ€— Huggingface Datasets

This Dataset

This is a formatted version of SEED-Bench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@article{li2023seed,
  title={Seed-bench: Benchmarking multimodal llms with generative comprehension},
  author={Li, Bohao and Wang, Rui and Wang, Guangzhi and Ge, Yuying and Ge, Yixiao and Shan, Ying},
  journal={arXiv preprint arXiv:2307.16125},
  year={2023}
}

Contributors

kcz358

10 commits