| --- |
| license: other |
| pretty_name: WholeDoc Bench (sample) |
| task_categories: |
| - image-to-text |
| language: |
| - "de" |
| - "en" |
| - "es" |
| - "fr" |
| - "nl" |
| size_categories: |
| - n<1K |
| tags: |
| - document-parsing |
| - pdf |
| - benchmark |
| - evaluation |
| - tables |
| - charts |
| - ocr |
| - layout-detection |
| - barcode |
| - mrz |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: documents.jsonl |
| citation: | |
| @misc{wholedocbench2026, |
| title = {WholeDoc Bench: Continuity, Fidelity and Machine-Readable Content in Document Parsing}, |
| author = {Moldovan, Denis and Sookun, Shrevin and Mogage, Nicolae and Pizur, Matus and Mitrea, Costinel and Houssin, Olivier and Alby, Etienne and Carlier, Coralie and Mart{\'\i}n, Daniel}, |
| year = {2026}, |
| url = {https://github.com/PSPDFKit-labs/wholedoc-bench} |
| } |
| --- |
| |
| # WholeDoc Bench |
|
|
| **Quick links:** [\[🌐 Leaderboard\]](https://www.nutrient.io/benchmarks/parse/) [\[📜 Paper\]](https://github.com/PSPDFKit-labs/wholedoc-bench/blob/main/paper.pdf) [\[💻 Code\]](https://github.com/PSPDFKit-labs/wholedoc-bench) |
|
|
| This is the **public sample** of WholeDoc Bench, a benchmark for evaluating document parsers on |
| whole documents. It contains 10 documents (28 pages) with their ground-truth answer keys, so you |
| can inspect the annotation format and run the evaluation pipeline on these documents. |
|
|
| Results from the full private evaluation set are available on the |
| [benchmark page](https://www.nutrient.io/benchmarks/parse/) and in the |
| [paper](https://github.com/PSPDFKit-labs/wholedoc-bench/blob/main/paper.pdf). Those results |
| cannot be reproduced from this sample alone. The |
| [evaluation code](https://github.com/PSPDFKit-labs/wholedoc-bench) is available to run and score |
| supported parsers. |
|
|
| ## Usage |
|
|
| Download the whole release, pinned to its tag. The rows alone are not enough to score: |
|
|
| ```bash |
| uvx --from huggingface_hub hf download nutrientdocs/wholedoc-bench-sample --repo-type dataset --revision v1 --local-dir wholedoc-bench-sample |
| ``` |
|
|
| Then run a parser, score it and build a leaderboard with the [evaluation code](https://github.com/PSPDFKit-labs/wholedoc-bench): |
|
|
| ```bash |
| uv run wholedoc-bench run --provider pdftotext --corpus wholedoc-bench-sample --out runs/pdftotext |
| uv run wholedoc-bench score --corpus wholedoc-bench-sample --predictions runs/pdftotext --results results |
| uv run wholedoc-bench report --results results |
| ``` |
|
|
| Every command checks the release first and stops if a file is missing or changed. |
|
|
| <details> |
| <summary>Files and row fields</summary> |
|
|
| ``` |
| documents.jsonl one row per document |
| documents/<id>.pdf the documents |
| groundtruth/<id>.json the ground truth of each document |
| release.json the release tag, its source commit and counts |
| SHA256SUMS the checksum of every file above |
| published.jsonl every document id ever published, with its first release |
| ``` |
|
|
| | Field | Meaning | |
| |---|---| |
| | `id` | the document's permanent id | |
| | `document_path`, `document_sha256` | the document file and its checksum | |
| | `format`, `pages` | file format and page count | |
| | `language`, `scan` | languages, and whether the document is a scan | |
| | `tracks`, `supported_metrics` | what this document is scored on | |
| | `groundtruth_source` | how the ground truth was made | |
| | `groundtruth_path`, `groundtruth_sha256` | the ground truth file and its checksum | |
| | `category`, `limits`, `licence`, `attribution` | not recorded in this release | |
|
|
| </details> |
|
|
| ## Public sample and private set |
|
|
| The published benchmark results use the full private evaluation set. This public sample lets you |
| inspect the answer keys and run the evaluation pipeline, but it does not reproduce the full |
| benchmark results. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{wholedocbench2026, |
| title = {WholeDoc Bench: Continuity, Fidelity and Machine-Readable Content in Document Parsing}, |
| author = {Moldovan, Denis and Sookun, Shrevin and Mogage, Nicolae and Pizur, Matus and Mitrea, Costinel and Houssin, Olivier and Alby, Etienne and Carlier, Coralie and Mart{\'\i}n, Daniel}, |
| year = {2026}, |
| url = {https://github.com/PSPDFKit-labs/wholedoc-bench} |
| } |
| ``` |
|
|
| ## About the author |
|
|
| <a href="https://nutrient.io/"> |
| <img src="https://avatars2.githubusercontent.com/u/1527679?v=3&s=200" height="80" /> |
| </a> |
|
|
| This project is maintained and funded by [Nutrient](https://nutrient.io/) - The deterministic document infrastructure enterprises run their highest-stakes workflows on: replayable output, clear exceptions, and full audit trails on the messy, regulated documents where AI alone breaks. |
|
|
