---
license: mit
task_categories:
- question-answering
language:
- zh
tags:
- art
pretty_name: msbench
size_categories:
- 1K<n<10K
---
# Dataset Card for MS-Bench

<!-- Provide a quick summary of the dataset. -->

This is the official dataset for MS-Bench: Evaluating LMMs in Ancient ManuScript Study with Dunhuang as Case Study. 
Please refer to the GitHub page for more details: https://github.com/ianeong/MS-Bench. 

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->


- **Curated by:** Yuqing Zhang, Yue Han, Shuanghe Zhu, Haoxiang Wu, Hangqi Li
- **Funded by:** Zhejiang University
- **Shared by:** Zhejiang University
- **Language(s) (NLP):** Chinese
- **License:** MIT

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://github.com/ianeong/MS-Bench
- **Paper [optional]:** https://openreview.net/forum?id=mPznBXZSWf
- **Demo [optional]:** https://neurips.cc/virtual/2025/poster/121478 (To Be Updated)

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

Please contact paper authors for dataset direct use. 

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

Please refer to paper. 

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

We provide each task as a zip file with json annoatation alongside each task. 

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

We detail in paper about dataset curation process, please refer to: https://openreview.net/forum?id=mPznBXZSWf. 

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

We detail in paper about dataset collection and preprocessing.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

Zhejiang University. 


## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

Please refer to paper for discusions on limitations. 

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

To Be Updated. 

**APA:**

To Be Updated. 

## Dataset Card Authors [optional]

Yuqing Zhang

## Dataset Card Contact

yuqingz7@zju.edu.cn