Open Schematics Electronic Circuit Designs

## Overview Open Schematics is a multimodal dataset of electronic circuit schematics collected from open hardware projects. It contains between 10K and 100K records combining schematic source files (e.g. KiCad), rendered images, component lists, and project metadata. Stored as parquet with image and text modalities, the dataset targets training and evaluation of AI models on circuit design, component recognition, schematic-to-text, and text-to-schematic generation. Last updated December 2025. ## Schema - schematic — text/file — schematic source content (e.g. KiCad-format file data) - image — image — rendered visual representation of the schematic - components — text/list — component identifiers and metadata - metadata — text — project-level metadata (origin, description) - +additional fields documented on the source dataset page ## Sources - bshada/open-schematics on Hugging Face — https://huggingface.co/datasets/bshada/open-schematics — License: CC-BY-4.0 ## Methodology Per the source description, the dataset aggregates electronic schematic files from various open hardware projects together with their visual renderings, component lists, and project metadata. The publisher organizes each record to pair source schematic data with imagery and structured component information suitable for multimodal training. Specific collection scripts and project provenance are documented on the Hugging Face dataset card. ## Known gaps & limitations Source does not document gaps in detail; buyers should validate empirically. Likely limitations include: skew toward KiCad-format and open hardware projects (commercial/Altium designs likely absent), English-only metadata, uneven coverage across circuit domains (analog vs digital vs RF vs power), and unknown deduplication across forks of the same project. Component labeling consistency across projects is not guaranteed. ## Intended use & out-of-scope - IS for: training/evaluating multimodal models on schematic understanding, component recognition, schematic image-to-text, text-to-schematic generation, RAG over hardware design corpora, and fine-tuning hardware-engineering copilots. - NOT for: safety-critical hardware verification, claims of design correctness, or as a substitute for licensed EDA reference libraries; not deduplicated against public benchmarks — leakage risk if used for eval-set training. _Federated dataset: 78 parquet shards, 6.21 GB total. Queries and downloads stream through the DataBazaar API._ Original supplier listing: Open Schematics: Electronic Circuit Designs Dataset 10K-100K electronic schematics from hardware projects with visual representations, component metadata, and KiCad source files. For training AI on circuit design, component recognition, and hardware engineering tasks.