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---
dataset_info:
- config_name: ScienceQA-FULL
features:
- name: image
dtype: image
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: int8
- name: hint
dtype: string
- 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: train
# num_bytes: 422199906.182
# num_examples: 12726
- name: validation
num_bytes: 140142913.699
num_examples: 4241
- name: test
num_bytes: 138277282.051
num_examples: 4241
download_size: 679275875
dataset_size: 700620101.932
- config_name: ScienceQA-IMG
features:
- name: image
dtype: image
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: int8
- name: hint
dtype: string
- 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: train
# num_bytes: 413310651.0
# num_examples: 6218
- name: validation
num_bytes: 137253441.0
num_examples: 2097
- name: test
num_bytes: 135188432.0
num_examples: 2017
download_size: 663306124
dataset_size: 685752524.0
configs:
- config_name: ScienceQA-FULL
data_files:
# - split: train
# path: ScienceQA-FULL/train-*
- split: validation
path: ScienceQA-FULL/validation-*
- split: test
path: ScienceQA-FULL/test-*
- config_name: ScienceQA-IMG
data_files:
# - split: train
# path: ScienceQA-IMG/train-*
- split: validation
path: ScienceQA-IMG/validation-*
- split: test
path: ScienceQA-IMG/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 [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}
}
``` |