| --- |
| pretty_name: SciFormaBench-2K Full-Reference Backup |
| license: other |
| task_categories: |
| - text-to-image |
| language: |
| - en |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - scientific-diagrams |
| - benchmark |
| - evaluation |
| - methodology-figures |
| configs: |
| - config_name: simple |
| data_files: |
| - split: test |
| path: data/simple.parquet |
| - config_name: medium |
| data_files: |
| - split: test |
| path: data/medium.parquet |
| - config_name: hard |
| data_files: |
| - split: test |
| path: data/hard.parquet |
| --- |
| |
| <h1 align="center">SciFormaBench-2K: Full-Reference Benchmark Backup</h1> |
|
|
| <p align="center"> |
| <a href="https://arxiv.org/abs/2607.18091"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-2607.18091-b31b1b?logo=arxiv&logoColor=white" height="22" /></a> |
| |
| <a href="https://github.com/microsoft/SciForma"><img alt="Code" src="https://img.shields.io/badge/GitHub-Code-181717?logo=github&logoColor=white" height="22" /></a> |
| |
| <a href="https://microsoft.github.io/SciForma/"><img alt="Project Page" src="https://img.shields.io/badge/Project-Page-2ea44f?logo=githubpages&logoColor=white" height="22" /></a> |
| |
| <a href="https://huggingface.co/microsoft/SciForma-9B"><img alt="Models" src="https://img.shields.io/badge/%F0%9F%A4%97-Models-yellow" height="22" /></a> |
| </p> |
|
|
| This repository is the complete-reference backup of **SciFormaBench-2K**, the |
| official evaluation benchmark for |
| [SciForma](https://github.com/microsoft/SciForma). It contains all 2,000 |
| reference images, prompts, target resolutions, provenance fields, and |
| Component/Arrow/Text structural rubrics. |
|
|
| ## Features |
|
|
| - 🖼️ **Complete reference set.** All 2,000 ground-truth scientific |
| methodology diagrams are embedded in the Parquet files. |
| - 🧩 **Official benchmark splits.** Simple/Medium/Hard contain |
| 500/900/600 samples with the original benchmark indices and ordering. |
| - 🎯 **Axis-specific evaluation.** Each sample includes independently |
| verified Component, Arrow, and Text inventories. |
| - 🔗 **Source-linked records.** Each row retains its arXiv ID, year, source |
| image path, prompt, and target dimensions. |
| - ✅ **Complete text rubrics.** `rubric_text` is populated from the official |
| `stage1_abstraction.text_labels`; 1,873 rows contain non-empty text-label |
| inventories. |
|
|
| ## Usage |
|
|
| ```python |
| import json |
| from datasets import load_dataset |
| |
| dataset = load_dataset( |
| "LoYuXrqw/SciFormaBench-2K", |
| "hard", # simple / medium / hard |
| split="test", |
| token=True, |
| ) |
| |
| sample = dataset[0] |
| sample["gt_image"].show() |
| |
| components = json.loads(sample["rubric_components"]) |
| arrows = json.loads(sample["rubric_arrows"]) |
| text_labels = json.loads(sample["rubric_text"]) |
| print(sample["index"], len(components), len(arrows), len(text_labels)) |
| ``` |
|
|
| Set `HF_TOKEN` or log in with `hf auth login` before loading this repository. |
|
|
| ## Evaluation |
|
|
| Use the official [SciForma evaluation pipeline](https://github.com/microsoft/SciForma/tree/main/eval): |
|
|
| ```bash |
| python eval/eval_benchmark.py \ |
| --gen_dir ./results/my_model \ |
| --output_dir ./eval_results/my_model \ |
| --hf_benchmark LoYuXrqw/SciFormaBench-2K \ |
| --levels hard \ |
| --num_retest 2 \ |
| --deployment_name gpt-5.4 |
| ``` |
|
|
| Use `--levels simple medium hard` for the complete benchmark. The paper uses |
| GPT-5.4 as the judge; GPT-4o is the public alternative. The official protocol |
| uses axis-specific calls with `split_dims=True` and averages two evaluation |
| rounds with `num_retest=2`. |
|
|
| ## License |
|
|
| This full-reference repository is maintained for internal preservation and |
| evaluation. It does not provide a new redistribution license for the embedded |
| figures. Each image remains governed by its original source-paper license. |
|
|
