README.md

---
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.parquet
      - split: id
        path: data/id.parquet
      - split: ms
        path: data/ms.parquet
      - split: sw
        path: data/sw.parquet
      - split: ta
        path: data/ta.parquet
      - split: th
        path: data/th.parquet
      - split: tr
        path: data/tr.parquet
      - split: zh
        path: data/zh.parquet
      - split: en
        path: data/en.parquet
---
# 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}
}