| --- |
| language: |
| - en |
| - zh |
| license: other |
| task_categories: |
| - image-to-text |
| tags: |
| - document-parsing |
| - ocr |
| - multi-page |
| - rlvr |
| - prime-environments |
| size_categories: |
| - n<1K |
| --- |
| |
| # MPDocBench-Parse for RLVR (images → gold Markdown) |
|
|
| A Hugging Face repackage of **MPDocBench-Parse** (*Benchmarking Practical |
| Multi-page Document Parsing*, arXiv:2605.22100; USTC + Tongyi Lab, Alibaba), |
| built for RL training/evaluation with Prime Intellect Environments (`verifiers`). |
|
|
| - **Input**: `images` — the ordered page images of one document. |
| - **Output**: `output` — the benchmark ground truth reconstructed into |
| the single Markdown string the official evaluator expects a parser to |
| produce: reading order across pages, `#` heading levels from the |
| parent/son heading tree, HTML `<table>` tables, LaTeX display formulas |
| (GT delimiters preserved: mostly `$$...$$`, some `\[...\]`), figures as `` with 0–1000 boxes, and |
| text/tables truncated across pages merged. Page furniture (running |
| headers/footers, page numbers) is excluded, matching the evaluator. |
| Reconstruction code: `scripts/build_mpdocbench_dataset.py` in the source |
| repo; the equivalence target is `Tongyi-Zhiwen/Qwen-Doc`'s |
| `dataset/end2end_dataset.py` GT handling. Example gold files: |
| `gold_examples/`. |
|
|
| ## Split |
|
|
| A single `test` split with all 420 documents. MPDocBench-Parse is a |
| benchmark and has no official train split. Page images for the 11 |
| `pptSlides` documents come from the gated `NTT-hil-insight/SlideVQA` |
| dataset, per upstream's `tools/download_data_from_slidevqa.py`. |
|
|
| ## Columns |
|
|
| Exactly two: `images` (list of page images, in order) and `output` |
| (the gold Markdown string). |
|
|
| ## Use with Prime Environments |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("albertklorer/mpdocbench") |
| print(ds["test"][0]["output"][:500]) |
| ``` |
|
|
| The companion environment `environments/mpdocbench_parse/` maps rows to a |
| multimodal `verifiers` prompt (one `image_url` part per page) with |
| `answer=output` and a composite reward approximating the benchmark's |
| 8 tasks (text NED, table, formula, figure F1, heading hierarchy). |
|
|
| ## Validation of the gold reconstruction |
|
|
| Feeding `output` back as a "prediction" to the official upstream |
| evaluator (15 documents, one per document type; CDM skipped — no LaTeX |
| rendering stack): FigureF1 1.000, table TEDS 1.000, merged-table TEDS |
| 1.000, merged-text edit distance 0.000, text edit distance (whole) 0.003, |
| reading-order edit distance 0.021, HeadTEDS 0.975. The non-zero residuals |
| are evaluator matching artifacts (e.g. multi-line GT titles must be joined |
| onto one Markdown heading line), not missing content. |
|
|
| ## License / attribution |
|
|
| Upstream code is Apache-2.0. Upstream dataset terms: overall CC BY 4.0, with |
| unauthorised portions under CC BY-NC-SA 4.0 (academic use only) and some |
| sources link-only/not redistributed (paper App. D). Check those terms before |
| redistributing this dataset or using it commercially. This card is not legal |
| advice. Cite the MPDocBench-Parse paper when using this data. |
|
|
