Datasets:
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---
dataset_info:
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default: true
data_files:
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path: testmini/test-*
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data_files:
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license: mit
language:
- en
pretty_name: visual_language
---
# Introduction
This dataset is used to evaluate how Large Vision-Language Models (LVLMs) perform the visual question-answering tasks: understanding the input image or halluciating with the knowledge in the language module.
We provide a testmini set that includes all types of evaluations. More details can be found below.
---
* **testmini**: a subset of all types of evaluation.
* **Entity_KF_NR**: a QA dataset to evaluate the model's **recognition ability** of **entities** under the **knowledge-free** setting.
* **Entity_KF_NC**: a QA dataset to evaluate the model's **counting ability** of **entities** under the **knowledge-free** setting.
* **Entity_KR_NR**: a QA dataset to evaluate the model's **recognition ability** of **entities** under the **knowledge-required** setting.
* **Entity_KR_NC**: a QA dataset to evaluate the model's **counting ability** of **entities** under the **knowledge-required** setting.
* **Relation_KF_NR**: a QA dataset to evaluate the model's **recognition ability** of **relations** under the **knowledge-free** setting.
* **Relation_KF_NC**: a QA dataset to evaluate the model's **counting ability** of **relations** under the **knowledge-free** setting.
* **Relation_KR_NR**: a QA dataset to evaluate the model's **recognition ability** of **relations** under the **knowledge-required** setting.
* **Relation_KR_NC**: a QA dataset to evaluate the model's **counting ability** of **relations** under the **knowledge-required** setting.
* **syn_icon**: a QA dataset to evaluate the model's **recognition and counting ability** of **entities** that are represented by **visual icons**.
* **syn_text**: a QA dataset to evaluate the model's **recognition and counting ability** of **entities** that are represented by **text labels**.
* **syn_pos**: a QA dataset to evaluate the model's **recognition and counting ability** of **entity positions**.
* **syn_rel**: a QA dataset to evaluate the model's **recognition and counting ability** of **relations**.
* **syn_rel_complex**: a QA dataset to evaluate the model's **recognition and counting ability** of **relations** that are represented in **multiple forms**.
* **syn_rel_know**: a QA dataset to evaluate the model's **recognition and counting ability** of **relations** that are **consistent with commonsense knowledge**.
* **syn_rel_pos**: a QA dataset to evaluate the model's **recognition and counting ability** of **relation positions**.
---
# Citation
If you use this dataset, please cite our paper:
```
@article{DBLP:journals/corr/abs-2410-00193,
author = {Yifan Hou and
Buse Giledereli and
Yilei Tu and
Mrinmaya Sachan},
title = {Do Vision-Language Models Really Understand Visual Language?},
journal = {CoRR},
volume = {abs/2410.00193},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2410.00193},
doi = {10.48550/ARXIV.2410.00193},
eprinttype = {arXiv},
eprint = {2410.00193},
timestamp = {Tue, 05 Nov 2024 20:39:06 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2410-00193.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
``` |