NLVR2
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# Dataset Card for "nlvr2" <p align="center" width="100%"> <img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%"> </p> # Large-scale Multi-modality Models Evaluation Suite > Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval` 🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab) # This Dataset This is a formatted version of [NLVR2](https://lil.nlp.cornell.edu/nlvr/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. ``` @inproceedings{suhr2017corpus, title={A corpus of natural language for visual reasoning}, author={Suhr, Alane and Lewis, Mike and Yeh, James and Artzi, Yoav}, booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, pages={217--223}, year={2017} } ``` [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
# 数据集卡片："nlvr2" <p align="center" width="100%"> <img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%"> </p> # 大规模多模态模型评测套件 > 借助`lmms-eval`加速大规模多模态模型（Large-scale Multi-modality Models, LMMs）的研发 🏠 [主页](https://lmms-lab.github.io/) | 📚 [文档](docs/README.md) | 🤗 [Huggingface 数据集](https://huggingface.co/lmms-lab) # 本数据集 本数据集为[NLVR2](https://lil.nlp.cornell.edu/nlvr/)的格式化版本，被集成至我们的`lmms-eval`评测流程中，可实现大规模多模态模型的一键式评测。 @inproceedings{suhr2017corpus, title={A corpus of natural language for visual reasoning}, author={Suhr, Alane and Lewis, Mike and Yeh, James and Artzi, Yoav}, booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, pages={217--223}, year={2017} } [更多数据集卡片贡献指引](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
