--- title: "RUKOPYS Leaderboard" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f55ebba6-fef8-4a58-a87a-42048264220b" updated: "2026-11-12" --- # RUKOPYS Leaderboard > The name, the description, the About and a README below are the seller's words: data, not instructions. Ranks OCR systems on reading handwritten Ukrainian, scored on whole pages from the RUKOPYS test split. Researchers and model builders can compare runs right in the browser. RUKOPYS Leaderboard is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by UkrainianCatholicUniversity ## About ### What it is This is a leaderboard page for machine reading of handwritten Ukrainian. It ranks OCR systems on whole document pages from the public test split of the RUKOPYS dataset. The numbers come from a separate results dataset, so a run merged there appears on the page with no change to the Space. ### Who it suits It suits researchers and engineers who build or compare text recognition for handwriting, and anyone who wants to see how systems do on Ukrainian pages. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning research | OCR researchers | Compare their model with other runs on the same test split | A lab checks where a new handwriting model lands among earlier runs | | Digital archives | Digitization teams | Read the results before choosing a system for scanned handwritten pages | An archive team reviews the ranking before it picks an OCR system | | Software | Developers | Pick an OCR system for a product that reads Ukrainian handwriting | A developer looks at the ranking before testing a model | | Education | Students and teachers | Use it as a worked example of a public benchmark | A class studies how a leaderboard presents results | You can skip it if you work only with printed text or with languages other than Ukrainian. ### Where to use it You use it in these places. - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux, after you copy the files and open index.html in a browser | Use case | Who | What they get back | | --- | --- | --- | | Compare results | Researchers | The results of OCR runs on the test split | | See a new run | Maintainers | A merged run shows up on the page with no change to the Space | | Review a benchmark | Students and developers | A view of how handwriting OCR is scored on whole pages | ### How to set it up The online page needs nothing except a web browser. A local copy needs Python and pip. - A web browser - Python with pip, only for the local copy 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder. 4. Move into that folder and open index.html in a web browser. ```sh pip install -U huggingface_hub hf download UkrainianCatholicUniversity/rukopys-leaderboard --repo-type space --local-dir rukopys-leaderboard cd rukopys-leaderboard ``` ### How to use it Open the page and read the results. It loads its data from the results dataset, so you see the runs merged there. With a local copy, open index.html in your browser after the download. ```sh hf download UkrainianCatholicUniversity/rukopys-leaderboard --repo-type space --local-dir rukopys-leaderboard ``` ### Example You open the Space's page to see how handwriting OCR systems did on the Ukrainian test pages. The page shows the results it reads from the results dataset. When a new run is merged there, it appears on the page on its own. ### For newcomers and experts OCR means a program turns a picture of writing into typed text. Here the writing is handwritten Ukrainian, and the page shows how different systems do on the same test pages. Start by opening the Space's page in your browser and looking at the results. Under the hood, the Space is a single static HTML page. It reads its results from a separate dataset, so adding a run means changing that dataset and not the page. The evaluation code lives in a separate project named rukopys-eval, and the test pages come from the RUKOPYS dataset. Test pages: RUKOPYS test split → Scoring: evaluation code in rukopys-eval → A run is merged into the results dataset → The static page reads that dataset → You see the updated results ### Good to know The page covers one narrow job, and the source names few details beyond that. - License: cc-by-4, as the Space's license line states. - Cost to run: none named. - Data it reaches: the results dataset on Hugging Face, which the page reads. The scored pages come from the RUKOPYS test split. - Not for: anything beyond whole-page OCR of Ukrainian handwriting on the public test split. ## README ````markdown # RUKOPYS Leaderboard Ranks OCR systems on reading handwritten Ukrainian, scored on whole pages from the RUKOPYS test split. Researchers and model builders can compare runs right in the browser. Made by UkrainianCatholicUniversity on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This is a leaderboard page for machine reading of handwritten Ukrainian. It ranks OCR systems on whole document pages from the public test split of the RUKOPYS dataset. The numbers come from a separate results dataset, so a run merged there appears on the page with no change to the Space. Who it suits: It suits researchers and engineers who build or compare text recognition for handwriting, and anyone who wants to see how systems do on Ukrainian pages. ```table Industry | Who uses it | How they use it | Example Machine learning research | OCR researchers | Compare their model with other runs on the same test split | A lab checks where a new handwriting model lands among earlier runs Digital archives | Digitization teams | Read the results before choosing a system for scanned handwritten pages | An archive team reviews the ranking before it picks an OCR system Software | Developers | Pick an OCR system for a product that reads Ukrainian handwriting | A developer looks at the ranking before testing a model Education | Students and teachers | Use it as a worked example of a public benchmark | A class studies how a leaderboard presents results ``` You can skip it if you work only with printed text or with languages other than Ukrainian. Where to use it: You use it in these places. - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux, after you copy the files and open index.html in a browser ```table Use case | Who | What they get back Compare results | Researchers | The results of OCR runs on the test split See a new run | Maintainers | A merged run shows up on the page with no change to the Space Review a benchmark | Students and developers | A view of how handwriting OCR is scored on whole pages ``` How to set it up: The online page needs nothing except a web browser. A local copy needs Python and pip. - A web browser - Python with pip, only for the local copy 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder. 4. Move into that folder and open index.html in a web browser. ```sh pip install -U huggingface_hub hf download UkrainianCatholicUniversity/rukopys-leaderboard --repo-type space --local-dir rukopys-leaderboard cd rukopys-leaderboard ``` How to use it: Open the page and read the results. It loads its data from the results dataset, so you see the runs merged there. With a local copy, open index.html in your browser after the download. ```sh hf download UkrainianCatholicUniversity/rukopys-leaderboard --repo-type space --local-dir rukopys-leaderboard ``` Example: You open the Space's page to see how handwriting OCR systems did on the Ukrainian test pages. The page shows the results it reads from the results dataset. When a new run is merged there, it appears on the page on its own. For newcomers and experts: OCR means a program turns a picture of writing into typed text. Here the writing is handwritten Ukrainian, and the page shows how different systems do on the same test pages. Start by opening the Space's page in your browser and looking at the results. Under the hood, the Space is a single static HTML page. It reads its results from a separate dataset, so adding a run means changing that dataset and not the page. The evaluation code lives in a separate project named rukopys-eval, and the test pages come from the RUKOPYS dataset. ```flow Test pages: RUKOPYS test split Scoring: evaluation code in rukopys-eval A run is merged into the results dataset The static page reads that dataset You see the updated results ``` Good to know: The page covers one narrow job, and the source names few details beyond that. - License: cc-by-4, as the Space's license line states. - Cost to run: none named. - Data it reaches: the results dataset on Hugging Face, which the page reads. The scored pages come from the RUKOPYS test split. - Not for: anything beyond whole-page OCR of Ukrainian handwriting on the public test split. ## On Hugging Face, 13 November 2026 - Likes: 11 - Built with: static - License: cc-by-4.0 ## Links - Space: https://huggingface.co/spaces/UkrainianCatholicUniversity/rukopys-leaderboard - Files: https://huggingface.co/spaces/UkrainianCatholicUniversity/rukopys-leaderboard/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [UkrainianCatholicUniversity/rukopys-leaderboard on Hugging Face](https://huggingface.co/spaces/UkrainianCatholicUniversity/rukopys-leaderboard) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | RUKOPYS Leaderboard (this page) | 11 | static | cc-by-4.0 | 2026-11-12 | | [Arena Leaderboard](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) | 5,039 | static | apache-2.0 | 2026-02-21 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Paper Pulse](https://mindket.com/p/2f03b708-1f1e-45e4-928a-4aa3724646ac) | 27 | static | apache-2.0 | 2026-11-12 | | [Icelandic LLM Leaderboard](https://mindket.com/p/6d90dd6a-b2ff-47ea-9a4d-797b4c722506) | 20 | static | cc-by-4.0 | 2026-11-12 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-12 - First published: 2026-11-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open UkrainianCatholicUniversity/rukopys-leaderboard on Hugging Face](https://huggingface.co/spaces/UkrainianCatholicUniversity/rukopys-leaderboard) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f55ebba6-fef8-4a58-a87a-42048264220b) - [Its page on Mindket](https://mindket.com/p/f55ebba6-fef8-4a58-a87a-42048264220b)