Datasets:

pH202411
/

TutorGeo

pretty_name: TutorGeo
language:
  - en
task_categories:
  - image-to-text
  - visual-question-answering
tags:
  - geometry
  - mathematics
  - multimodal
  - instruction-tuning
size_categories:
  - 100K<n<1M
configs:
  - config_name: img2meta
    data_files:
      - split: train
        path: img2meta/data.jsonl
  - config_name: reasoning_multimodal_mathcanvas
    data_files:
      - split: train
        path: reasoning/multimodal_reasoning/MathCanvasInstruct/data.jsonl
  - config_name: reasoning_multimodal_mathvr
    data_files:
      - split: train
        path: reasoning/multimodal_reasoning/MathVRTrain/data.jsonl
  - config_name: reasoning_multimodal_zkpg
    data_files:
      - split: train
        path: reasoning/multimodal_reasoning/ZKPG/data.jsonl
  - config_name: reasoning_text_only_mathcanvas
    data_files:
      - split: train
        path: reasoning/text_only_reasoning/MathCanvasInstruct/data.jsonl
  - config_name: reasoning_text_only_mathvr
    data_files:
      - split: train
        path: reasoning/text_only_reasoning/MathVRTrain/data.jsonl
  - config_name: reasoning_text_only_zkpg
    data_files:
      - split: train
        path: reasoning/text_only_reasoning/ZKPG/data.jsonl

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

The archives preserve the original directory structure, so the relative paths in each record's images field work after extraction.

Configuration	Examples
`img2meta`	27,695
`reasoning_multimodal_mathcanvas`	31,408
`reasoning_multimodal_mathvr`	21,317
`reasoning_multimodal_zkpg`	6,945
`reasoning_text_only_mathcanvas`	34,583
`reasoning_text_only_mathvr`	23,360
`reasoning_text_only_zkpg`	7,733
Total	153,041

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",
)

TutorGeo

Contents

Load