| --- |
| dataset_info: |
| features: |
| - name: question_id |
| dtype: string |
| - name: question |
| dtype: string |
| - name: choices |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: query_image |
| dtype: image |
| - name: choice_image_0 |
| dtype: image |
| - name: choice_image_1 |
| dtype: image |
| - name: ques_type |
| dtype: string |
| - name: label |
| dtype: string |
| - name: grade |
| dtype: string |
| - name: skills |
| dtype: string |
| splits: |
| - name: val |
| num_bytes: 329185883.464 |
| num_examples: 21488 |
| - name: test |
| num_bytes: 333201645.625 |
| num_examples: 21489 |
| download_size: 667286379 |
| dataset_size: 662387529.089 |
| configs: |
| - config_name: default |
| data_files: |
| - split: val |
| path: data/val-* |
| - 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 [ICONQA](https://iconqa.github.io/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. |
|
|
| ``` |
| @inproceedings{lu2021iconqa, |
| title = {IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning}, |
| author = {Lu, Pan and Qiu, Liang and Chen, Jiaqi and Xia, Tony and Zhao, Yizhou and Zhang, Wei and Yu, Zhou and Liang, Xiaodan and Zhu, Song-Chun}, |
| booktitle = {The 35th Conference on Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks}, |
| year = {2021} |
| } |
| ``` |
