| --- |
| 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: |
|
|
| ```bash |
| 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. |
|
|
| ## Contents |
|
|
| | 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: |
|
|
| ```json |
| { |
| "messages": [ |
| {"role": "user", "content": "..."}, |
| {"role": "assistant", "content": "..."} |
| ], |
| "images": ["img2meta/orig_images/example.png"] |
| } |
| ``` |
|
|
| ## Load |
|
|
| From the Hugging Face Hub: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("pH202411/TutorGeo", "img2meta", split="train") |
| ``` |
|
|
| From local files: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset( |
| "json", |
| data_files="img2meta/data.jsonl", |
| split="train", |
| ) |
| ``` |
|
|
