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---
dataset_info:
features:
- name: question_id
dtype: string
- name: question
dtype: string
- name: choices
dtype: string
- name: answer
dtype: string
- name: query_image
dtype: image
- name: choice_image_0
dtype: image
- name: choice_image_1
dtype: image
- name: ques_type
dtype: string
- name: label
dtype: string
- name: grade
dtype: string
- name: skills
dtype: string
splits:
- name: val
num_bytes: 329185883.464
num_examples: 21488
- name: test
num_bytes: 333201645.625
num_examples: 21489
download_size: 667286379
dataset_size: 662387529.089
configs:
- config_name: default
data_files:
- split: val
path: data/val-*
- split: test
path: data/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 [ICONQA](https://iconqa.github.io/). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.
```
@inproceedings{lu2021iconqa,
title = {IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning},
author = {Lu, Pan and Qiu, Liang and Chen, Jiaqi and Xia, Tony and Zhao, Yizhou and Zhang, Wei and Yu, Zhou and Liang, Xiaodan and Zhu, Song-Chun},
booktitle = {The 35th Conference on Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks},
year = {2021}
}
``` |