Datasets:

pH202411
/

TutorGeo

messages listlengths 2 2	images listlengths 1 1
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194604_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194606_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194607_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194610_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194617_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194618_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194620_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194626_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194633_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194634_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194640_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194641_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194646_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194648_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194653_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194654_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194656_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194669_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194673_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194675_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194682_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194685_0.png" ]
[ { "content": "You are an expert in geometric figure recognition, skilled at extracting configuration information from geometry problem statements and, without solving the problem, converting the figure in the problem image into a JSON-formatted geometric meta description. Please strictly follow the rules below ...	[ "img2meta/orig_images/mathcanvas_instruct_194686_0.png" ]

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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",
)

Downloads last month: 51

TutorGeo

Contents

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