---
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}
}