metadata
license: apache-2.0
pretty_name: Libra-81K-SFT
task_categories:
- question-answering
- image-to-text
tags:
- gui
- vlm
- sft
- webdataset
Libra-81K-SFT
This dataset contains:
data/images/: split image archives (*.tar.gz.part-*)data/annotations/: JSON annotation files
Download Dataset
1) Install Git LFS
git lfs install
2) Clone the dataset repo
git clone https://huggingface.co/datasets/GUI-Libra/GUI-Libra-81K-SFT
cd GUI-Libra-81K-SFT
Reconstruct and extract image archives
Folder structure
After cloning, you should see:
data/images/containing*.tar.gz.part-*data/annotations/containing*.json
1) Merge split parts into .tar.gz
This will create merged archives under data/images_archives/.
cd data/images
mkdir -p ../images_archives ../images_extracted
for base in $(ls *.tar.gz.part-* | sed -E 's/\.part-[0-9]+$//' | sort -u); do
echo "[MERGE] $base.part-* -> ../images_archives/$base"
cat "${base}".part-* > "../images_archives/${base}"
done
2) Extract each merged archive
This will extract each archive into a separate directory under data/images_extracted/.
cd ../images_archives
for tgz in *.tar.gz; do
name="${tgz%.tar.gz}"
mkdir -p "../images_extracted/${name}"
echo "[EXTRACT] $tgz -> ../images_extracted/${name}"
tar -xzf "$tgz" -C "../images_extracted/${name}"
done
After extraction, images will be available under:
data/images_extracted/<archive_name>/...
Load annotations in Python
import json
from pathlib import Path
ann_dir = Path("data/annotations")
all_json = {}
for p in sorted(ann_dir.glob("*.json")):
with open(p, "r", encoding="utf-8") as f:
all_json[p.name] = json.load(f)
print("Loaded json files:", len(all_json))
print("Example keys:", list(all_json.keys())[:5])
Notes
Each
*.tar.gz.part-*group must be merged in order before extraction.If you only need one subset (e.g.,
gui-odyssey), you can merge/extract only that prefix:cd data/images cat gui-odyssey.tar.gz.part-* > ../images_archives/gui-odyssey.tar.gz tar -xzf ../images_archives/gui-odyssey.tar.gz -C ../images_extracted/gui-odyssey