| language: | |
| - hi | |
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: question | |
| dtype: string | |
| - name: choices | |
| sequence: string | |
| - name: answer | |
| dtype: int8 | |
| - name: task | |
| dtype: string | |
| - name: grade | |
| dtype: string | |
| - name: subject | |
| dtype: string | |
| - name: topic | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| - name: skill | |
| dtype: string | |
| - name: lecture | |
| dtype: string | |
| - name: solution | |
| dtype: string | |
| splits: | |
| - name: hi | |
| num_examples: 2017 | |
| - name: id | |
| num_examples: 2017 | |
| - name: ms | |
| num_examples: 2017 | |
| - name: sw | |
| num_examples: 2017 | |
| - name: ta | |
| num_examples: 2017 | |
| - name: th | |
| num_examples: 2017 | |
| - name: tr | |
| num_examples: 2017 | |
| - name: zh | |
| num_examples: 2017 | |
| - name: en | |
| num_examples: 2017 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: hi | |
| path: data/hi* | |
| - split: id | |
| path: data/id* | |
| - split: ms | |
| path: data/ms* | |
| - split: sw | |
| path: data/sw* | |
| - split: ta | |
| path: data/ta* | |
| - split: th | |
| path: data/th* | |
| - split: tr | |
| path: data/tr* | |
| - split: zh | |
| path: data/zh* | |
| - split: en | |
| path: data/en* | |
| # This Dataset | |
| This is a formatted version of [derek-thomas/ScienceQA](https://huggingface.co/datasets/derek-thomas/ScienceQA). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models. | |
| ``` | |
| @inproceedings{lu2022learn, | |
| title={Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering}, | |
| author={Lu, Pan and Mishra, Swaroop and Xia, Tony and Qiu, Liang and Chang, Kai-Wei and Zhu, Song-Chun and Tafjord, Oyvind and Clark, Peter and Ashwin Kalyan}, | |
| booktitle={The 36th Conference on Neural Information Processing Systems (NeurIPS)}, | |
| year={2022} | |
| } |