| --- |
| language: |
| - en |
| license: cc-by-nc-4.0 |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-to-image |
| - image-to-image |
| pretty_name: SciFormaData-700K |
| tags: |
| - scientific-diagrams |
| - methodology-figures |
| - arxiv |
| - diagram-generation |
| - diagram-editing |
| dataset_info: |
| - config_name: generation_768 |
| features: |
| - name: paper_id |
| dtype: string |
| - name: split |
| dtype: string |
| - name: caption |
| dtype: string |
| - name: image |
| dtype: image |
| - name: bucket_w |
| dtype: int32 |
| - name: bucket_h |
| dtype: int32 |
| - name: aspect_ratio |
| dtype: float32 |
| - name: quality_tier |
| dtype: string |
| - name: is_tikz |
| dtype: bool |
| - name: original_caption |
| dtype: string |
| splits: |
| - name: train |
| num_examples: 661660 |
| - config_name: generation_1024 |
| features: |
| - name: paper_id |
| dtype: string |
| - name: split |
| dtype: string |
| - name: caption |
| dtype: string |
| - name: image |
| dtype: image |
| - name: bucket_w |
| dtype: int32 |
| - name: bucket_h |
| dtype: int32 |
| - name: aspect_ratio |
| dtype: float32 |
| - name: quality_tier |
| dtype: string |
| - name: is_tikz |
| dtype: bool |
| - name: original_caption |
| dtype: string |
| splits: |
| - name: train |
| num_examples: 651860 |
| - config_name: editing |
| features: |
| - name: paper_id |
| dtype: string |
| - name: split |
| dtype: string |
| - name: caption |
| dtype: string |
| - name: source_image |
| dtype: image |
| - name: target_image |
| dtype: image |
| - name: bucket_w |
| dtype: int32 |
| - name: bucket_h |
| dtype: int32 |
| - name: aspect_ratio |
| dtype: float32 |
| - name: edit_bboxes |
| dtype: string |
| splits: |
| - name: train |
| num_examples: 70866 |
| configs: |
| - config_name: generation_768 |
| data_files: |
| - split: train |
| path: data/generation_768/train-*.parquet |
| - config_name: generation_1024 |
| data_files: |
| - split: train |
| path: data/generation_1024/train-*.parquet |
| - config_name: editing |
| data_files: |
| - split: train |
| path: data/editing/train-*.parquet |
| --- |
| |
| # SciFormaData-700K |
|
|
| Training data for [SciForma: Structure-Faithful Generation of Scientific Diagrams](https://github.com/microsoft/SciForma): 661K methodology diagrams collected from arXiv papers spanning **January 2015 – December 2025**, with structured captions and editing triplets. Images are embedded directly in parquet. |
|
|
| ## Dataset Summary |
|
|
| | Subset | Rows | Resolution | Description | |
| |--------|------|-----------|-------------| |
| | `generation_768` | 661,660 | 768px-equiv | All-quality generation pairs — Stage 1 SFT | |
| | `generation_1024` | 651,860 | 1024px-equiv | High+Medium quality generation — Stage 2 SFT | |
| | `editing` | 70,866 | 1024px-equiv | Axis-specific editing triplets (source, instruction, target) | |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Generation 768px — Stage 1 training (all quality tiers) |
| gen_768 = load_dataset("microsoft/SciFormaData-700K", "generation_768", split="train") |
| img = gen_768[0]["image"] # PIL.Image, e.g. 1008×576 |
| cap = gen_768[0]["caption"] # structured prompt, avg ~2600 chars |
| |
| # Generation 1024px, High quality only — Stage 2 training |
| gen_1024 = load_dataset("microsoft/SciFormaData-700K", "generation_1024", split="train") |
| gen_1024_high = gen_1024.filter(lambda x: x["quality_tier"] == "High") # 244,304 rows |
| |
| # Editing triplets — Stage 2 mixed training |
| editing = load_dataset("microsoft/SciFormaData-700K", "editing", split="train") |
| src = editing[0]["source_image"] # PIL.Image (source) |
| tgt = editing[0]["target_image"] # PIL.Image (target) |
| ins = editing[0]["caption"] # edit instruction |
| ``` |
|
|
| ## Fields |
|
|
| ### Generation subsets (`generation_768`, `generation_1024`) |
|
|
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `paper_id` | string | arXiv paper ID | |
| | `caption` | string | Structured prompt (avg. ~2600 chars; Components / Arrows / Text axes) | |
| | `image` | image | PIL.Image — diagram at 768px or 1024px equivalent | |
| | `bucket_w`, `bucket_h` | int32 | Quantized training resolution | |
| | `quality_tier` | string | `"High"` / `"Medium"` / `"Low"` | |
| | `is_tikz` | bool | Rendered from TikZ source (2.6% of data) | |
| | `original_caption` | string | Raw figure caption before structured rewriting | |
|
|
| ### Editing subset (`editing`) |
|
|
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `paper_id` | string | arXiv paper ID | |
| | `caption` | string | Edit instruction (numbered axis-specific operations) | |
| | `source_image` | image | PIL.Image — source (unmodified) diagram | |
| | `target_image` | image | PIL.Image — target (modified) diagram | |
| | `edit_bboxes` | string | JSON bounding boxes of edited regions | |
| | `bucket_w`, `bucket_h` | int32 | Training resolution | |
|
|
| ## License |
|
|
| [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — non-commercial research use only. |
| Derived from arXiv papers; images sourced from publicly available LaTeX sources (2015–2025). |
|
|
