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---
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}
} |