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---
license: cc-by-sa-4.0
language:
- en
---
# Dataset Card for Explain Artworks: ExpArt
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
# Dataset Card for "Wiki-ImageReview1.0"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:**
- **Repository:https://github.com/naist-nlp/Hackathon-2023-Summer**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
## Dataset Summary
>Explain Artworks: ExpArt is designed to enhance the capabilities of large-scale vision-language models (LVLMs) in analyzing and describing artworks.
>Drawing from a comprehensive array of English Wikipedia art articles, the dataset encourages LVLMs to create in-depth descriptions based on images with or without accompanying titles.
>This endeavor aims to improve LVLMs' proficiency in discerning and articulating the historical and thematic nuances of art. Explain Artworks: ExpArt not only aims to elevate AI's understanding and critique of art but also seeks to forge a stronger connection between artificial intelligence and art history.
>With approximately 10,000 articles, the dataset introduces specialized metrics for assessing the effectiveness of LVLMs in art explanation, focusing on their interpretation of visual and textual cues.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
This dataset is available in English.
## Dataset Structure
The following examples illustrate two different formats of the training dataset. The first includes a ‘title‘
field, while the second does not．
## Dataset Example (with Title)
```JSON
{
"id": "0001_T",
"title": "Mona Lisa",
"conversations": [
{
"from": "user",
"value": "<img>/images/Mona Lisa.jpg</img>\nFocus on Mona Lisa and explore the history."
},
{
"from": "assistant",
"value": "Of Leonardo da Vinci’s works, the Mona Lisa is the only portrait whose authenticity...."
}
]
}
```
## Dataset Example (without Title)
```JSON
{
"id": "0001_NT",
"conversations": [
{
"from": "user",
"value": "<img>/images/Mona Lisa.jpg</img>\nFocus on this artwork and explore the history."
},
{
"from": "assistant",
"value": "Of Leonardo da Vinci’s works, the Mona Lisa is the only portrait whose authenticity...."
}
]
}
```
### Data Instances
### English Example
```Python
from datasets import load_dataset
dataset = load_dataset("naist-nlp/ExpArt")
print(dataset)
# DatasetDict({
# train: Dataset({
# features: ['id', 'title', 'conversations'],
# num_rows: X # Replace X with the actual number of rows in your dataset
# })
# })
# Example of accessing a single data instance
example = dataset['train'][0]
print(example)
# {
# "id": "0001_T",
# "title": "Mona Lisa",
# "conversations": [
# {
# "from": "user",
# "value": "<img src='/images/Mona Lisa.jpg'></img>\nFocus on Mona Lisa and explore the history."
# },
# {
# "from": "assistant",
# "value": "Of Leonardo da Vinci’s works, the Mona Lisa is the only portrait whose authenticity...."
# }
# ]
# }
```
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