pH202411/TutorGeo
TutorGeo TutorGeo contains image-to-meta conversion data and geometry-reasoning conversations used by MetaReason. All files use JSON Lines, with image paths relative to the TutorGeo directory. Images are stored in seven tar files under image_archives/. Download and extract them from the TutorGeo root before using the JSONL files: hf download pH202411/TutorGeo --repo-type dataset --local-dir TutorGeo cd TutorGeo for archive in image_archives/*.tar; do tar -xf "$archive"; done… See the full description on the dataset page: https://huggingface.co/datasets/pH202411/TutorGeo.
TutorGeo
TutorGeo contains image-to-meta conversion data and geometry-reasoning conversations used by MetaReason. All files use JSON Lines, with image paths relative to the TutorGeo directory.
Images are stored in seven tar files under image_archives/. Download and extract them from the TutorGeo root before using the JSONL files:
hf download pH202411/TutorGeo --repo-type dataset --local-dir TutorGeo
cd TutorGeo
for archive in image_archives/*.tar; do tar -xf "$archive"; doneThe archives preserve the original directory structure, so the relative paths in each record's images field work after extraction.
Contents
Each line has the following structure:
{
"messages": [
{"role": "user", "content": "..."},
{"role": "assistant", "content": "..."}
],
"images": ["img2meta/orig_images/example.png"]
}Load
From the Hugging Face Hub:
from datasets import load_dataset
dataset = load_dataset("pH202411/TutorGeo", "img2meta", split="train")From local files:
from datasets import load_dataset
dataset = load_dataset(
"json",
data_files="img2meta/data.jsonl",
split="train",
)