metadata
license: mit
language:
- en
Vis-IR: Unifying Search With Visualized Information Retrieval
Overview
VIRA (Vis-IR Aggregation), a large-scale dataset comprising a vast collection of screenshots from diverse sources, carefully curated into captioned and questionanswer formats.
Statistics
There are three types of data in VIRA: caption data, query-to-screenshot (q2s) data, and screenshot+query-to-screenshot (sq2s) data. The table below provides a detailed breakdown of the data counts for each domain and type.
Organization Structure
The dataset is organized in the following structure:
Domain/
βββ caption.jsonl: a screenshot image path and its corresponding caption
βββ q2s.jsonl: a query, a positive screenshot and eight negative screenshots
βββ sq2s.jsonl: a query, a query screenshot, a positive screenshot and eight negative screenshots
βββ Domain.tar.gz.partaa
βββ Domain.tar.gz.partab
βββ Domain.tar.gz.partac
...
Download Images
We have released all the images. Due to the large total size, they are split into multiple parts. You can download the images using the script below:
#!/bin/bash
FOLDER="Chart" # βNewsβ "PDFA" "Papers" "Product" "Readmes" "Wiki"
BASE_URL="https://huggingface.co/datasets/marsh123/VIRA/resolve/main/${FOLDER}"
mkdir -p "$FOLDER"
cd "$FOLDER"
for first in {a..z}; do
for second in {a..z}; do
part="${first}${second}"
file="${FOLDER}.tar.gz.part${part}"
url="${BASE_URL}/${file}"
echo "Trying: $url"
if curl --output /dev/null --silent --head --fail "$url"; then
wget --continue "$url"
else
echo "No more parts after part${part}"
break 2
fi
done
done
echo "Merging parts..."
cat "${FOLDER}.tar.gz.part"* > "${FOLDER}.tar.gz"
echo "Extracting..."
tar -xzvf "${FOLDER}.tar.gz"
echo "Cleaning up..."
rm "${FOLDER}.tar.gz.part"*
rm "${FOLDER}.tar.gz"
echo "β
Done!"
License
VIRA is licensed under the MIT License.
Citation
If you find this dataset useful, please cite:
@article{liu2025any,
title={Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval},
author={Liu, Ze and Liang, Zhengyang and Zhou, Junjie and Liu, Zheng and Lian, Defu},
journal={arXiv preprint arXiv:2502.11431},
year={2025}
}