--- title: "CADGenBench Leaderboard" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a743858b-b306-499b-8861-02d2800f2892" updated: "2026-11-13" --- # CADGenBench Leaderboard > The name, the description, the About and a README below are the seller's words: data, not instructions. Ranks AI systems that turn a text or image description of a mechanical part into a valid 3D CAD model, and scores uploaded STEP or BREP files. For CAD generation researchers and engineers. CADGenBench Leaderboard is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by HuggingAI4Engineering ## About ### What it is CADGenBench Leaderboard is the results page for a benchmark of AI-driven CAD generation. It measures whether a system can read a written or pictured description of a machine part and return a 3D model that is valid and geometrically right. The Space has three tabs. Leaderboard shows ranked submissions, Submit scores your own files, and About explains the scoring axes. ### Who it suits Researchers and engineers who build or compare systems that generate CAD models. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Mechanical engineering | CAD engineers | See how generation systems rank | Open the Leaderboard tab and read the rows | | Research | AI researchers | Score their own model on the benchmark | Upload STEP files on the Submit tab | | Software | Tool builders | Compare approaches to CAD generation | Read a submission's report | You can skip it if you do not work with CAD generation, since the Space only covers this benchmark. ### Where to use it - A web browser, on the Space's page at Hugging Face, with nothing to install - Windows, macOS or Linux with Docker, from a copy you download | Use case | Who | What they get back | | --- | --- | --- | | Browse rankings | Researchers | A ranked list of submissions | | Submit candidates | Model builders | A scored row with a per-submission report | | Read the scoring | Anyone | An explanation of the scoring axes | ### How to set it up - Docker on your computer - The huggingface\_hub package, which gives you the hf command 1. Install the huggingface\_hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Build the Docker image. 5. Run the image with port 7860 open. ```sh pip install -U huggingface_hub hf download HuggingAI4Engineering/CADGenBench --repo-type space --local-dir CADGenBench cd CADGenBench docker build -t cadgenbench . docker run -it -p 7860:7860 cadgenbench ``` ### How to use it Open the Space's page in your browser. Read the Leaderboard tab for rankings. To submit, go to the Submit tab, upload your STEP or BREP candidate files and wait for the Space to run the evaluation. | Tool | What it does | | --- | --- | | Leaderboard tab | Shows ranked submissions | | Submit tab | Takes STEP or BREP files and runs the evaluation | | About tab | Explains the scoring axes and where the benchmark code lives | ### Example You open the Submit tab and upload STEP files your system produced. The Space runs the evaluation and adds a row for your submission, with a report you can open. ### For newcomers and experts If you are new to CAD generation, start on the Leaderboard tab and read the top rows. Then open the About tab to see how scoring works. If you know the field, the Space is a Docker app that serves several pages, including leaderboard, submit, gallery, metrics and admin views. It names two datasets, one for submissions and one for benchmark data. The repository also holds a tests folder and a tools folder. You upload STEP or BREP files → The Space runs the evaluation → A row is published with a report → The row joins the leaderboard ### Good to know - License: the Space lists apache-2 - Cost to run: none named - Data it reaches: the files you upload, plus the two datasets it names - Not for: scoring anything other than STEP or BREP candidate files ## README ````markdown # CADGenBench Leaderboard Ranks AI systems that turn a text or image description of a mechanical part into a valid 3D CAD model, and scores uploaded STEP or BREP files. For CAD generation researchers and engineers. Made by HuggingAI4Engineering 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: CADGenBench Leaderboard is the results page for a benchmark of AI-driven CAD generation. It measures whether a system can read a written or pictured description of a machine part and return a 3D model that is valid and geometrically right. The Space has three tabs. Leaderboard shows ranked submissions, Submit scores your own files, and About explains the scoring axes. Who it suits: Researchers and engineers who build or compare systems that generate CAD models. ```table Industry | Who uses it | How they use it | Example Mechanical engineering | CAD engineers | See how generation systems rank | Open the Leaderboard tab and read the rows Research | AI researchers | Score their own model on the benchmark | Upload STEP files on the Submit tab Software | Tool builders | Compare approaches to CAD generation | Read a submission's report ``` You can skip it if you do not work with CAD generation, since the Space only covers this benchmark. Where to use it: - A web browser, on the Space's page at Hugging Face, with nothing to install - Windows, macOS or Linux with Docker, from a copy you download ```table Use case | Who | What they get back Browse rankings | Researchers | A ranked list of submissions Submit candidates | Model builders | A scored row with a per-submission report Read the scoring | Anyone | An explanation of the scoring axes ``` How to set it up: - Docker on your computer - The huggingface_hub package, which gives you the hf command 1. Install the huggingface_hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Build the Docker image. 5. Run the image with port 7860 open. ```sh pip install -U huggingface_hub hf download HuggingAI4Engineering/CADGenBench --repo-type space --local-dir CADGenBench cd CADGenBench docker build -t cadgenbench . docker run -it -p 7860:7860 cadgenbench ``` How to use it: Open the Space's page in your browser. Read the Leaderboard tab for rankings. To submit, go to the Submit tab, upload your STEP or BREP candidate files and wait for the Space to run the evaluation. ```table Tool | What it does Leaderboard tab | Shows ranked submissions Submit tab | Takes STEP or BREP files and runs the evaluation About tab | Explains the scoring axes and where the benchmark code lives ``` Example: You open the Submit tab and upload STEP files your system produced. The Space runs the evaluation and adds a row for your submission, with a report you can open. For newcomers and experts: If you are new to CAD generation, start on the Leaderboard tab and read the top rows. Then open the About tab to see how scoring works. If you know the field, the Space is a Docker app that serves several pages, including leaderboard, submit, gallery, metrics and admin views. It names two datasets, one for submissions and one for benchmark data. The repository also holds a tests folder and a tools folder. ```flow You upload STEP or BREP files The Space runs the evaluation A row is published with a report The row joins the leaderboard ``` Good to know: - License: the Space lists apache-2 - Cost to run: none named - Data it reaches: the files you upload, plus the two datasets it names - Not for: scoring anything other than STEP or BREP candidate files ## On Hugging Face, 13 November 2026 - Likes: 90 - Built with: docker - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/HuggingAI4Engineering/CADGenBench - Files: https://huggingface.co/spaces/HuggingAI4Engineering/CADGenBench/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [HuggingAI4Engineering/CADGenBench on Hugging Face](https://huggingface.co/spaces/HuggingAI4Engineering/CADGenBench) ## 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 | | --- | --- | --- | --- | --- | | CADGenBench Leaderboard (this page) | 90 | docker | apache-2.0 | 2026-08-07 | | [Open LLM Leaderboard](https://mindket.com/p/f179f58f-4514-4b60-b61f-b86395bec554) | 14,156 | docker | apache-2.0 | 2026-05-27 | | [MTEB Leaderboard](https://mindket.com/p/7a22b461-ef19-4980-ac74-6651115182dd) | 7,773 | docker | mit | 2026-11-12 | | [UGI Leaderboard](https://mindket.com/p/85570e8b-1c6f-4d8a-bede-5aac8be604d5) | 2,199 | docker | apache-2.0 | 2026-10-17 | | [Microduck Sandbox](https://mindket.com/p/3ee8f9e8-61ad-4382-b1f0-74011211142f) | 804 | docker | apache-2.0 | 2026-11-06 | | [Visualize Dataset (v2.0+ latest dataset format)](https://mindket.com/p/a41cd404-e729-4615-9dc9-3d957f6bb38e) | 754 | docker | apache-2.0 | 2026-11-10 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Hacker News · jakedahn · 2026-06-09](https://news.ycombinator.com/item?id=48463501): HuggingFace Text-to-CAD Generation Benchmark ## 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: 2026-08-07 - First published: 2026-04-22 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open HuggingAI4Engineering/CADGenBench on Hugging Face](https://huggingface.co/spaces/HuggingAI4Engineering/CADGenBench) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a743858b-b306-499b-8861-02d2800f2892) - [Its page on Mindket](https://mindket.com/p/a743858b-b306-499b-8861-02d2800f2892)