pbwpbw/chartqa

--- dataset_info: features: - name: type dtype: string - name: question dtype: string - name: answer dtype: string - name: image dtype: image splits: - name: test num_bytes: 122161182.0 num_examples: 2500 download_size: 72610993 dataset_size: 122161182.0 configs: - config_name: default data_files: - split: test path: data/test-* --- <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 [ChartQA](https://github.com/vis-nlp/ChartQA). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. ``` @article{masry2022chartqa, title={ChartQA: A benchmark for question answering about charts with visual and logical reasoning}, author={Masry, Ahmed and Long, Do Xuan and Tan, Jia Qing and Joty, Shafiq and Hoque, Enamul}, journal={arXiv preprint arXiv:2203.10244}, year={2022} } ```