datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MoleculeNet_PCBA
MoleculeNet PCBA
PCBA (PubChem BioAssay) dataset [1], part of MoleculeNet [2] benchmark. It is intended to be used through
scikit-fingerprints library.
The task is to predict biological activity against 128 bioassays, generated by high-throughput screening (HTS). All tasks are binary active/non-active.
Note that targets have missing values. Algorithms should be evaluated only on present labels. For training data, you may want to impute them, e.g. with zeros.
Characteristic… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeNet_PCBA.PCB_defect
⚡ 데이터셋 요약
본 데이터셋은 naked PCB(부품 실장 전 PCB) 이미지로 구성되어 있으며, 총 1386장, 6종 결함, 이미지당 3~5개 결함을 포함
이미지는 실제 AOI 유사 촬영 시스템으로 템플릿 보드를 촬영한 뒤, Photoshop으로 결함을 삽입해 합성
즉, “현장(real) 결함”이 아니라, 제어된 합성 결함이라는 점이 데이터 해석/일반화에서 중요한 전제
🌳 데이터셋 구조
PCB_defect/
├── README.md
├── Meta Data/
│ └── Huang et al.(2019), A PCB Dataset for Defects Detection and Classification.pdf
├── Missing_hole/ # 결함 유형
│ ├── missing_hole01.jpg # [입력] PCB 이미지
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/RobotHuman/PCB_defect.pcb-defect-segmentation
Dataset Labels
['dry_joint', 'incorrect_installation', 'pcb_damage', 'short_circuit']
Number of Images
{'valid': 25, 'train': 128, 'test': 36}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/pcb-defect-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/diplom-qz7q6/defects-2q87r/dataset/8… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pcb-defect-segmentation.pcb-detection-augmented-seg
PCB Detection Augmented Segmentation Dataset
Augmented PCB segmentation data in YOLO format from
SanderGi/PCB-Detection.
The repository includes train, validation, and test images; segmentation labels
and masks; dataset configuration; and training outputs used by the published
PCB segmentation model.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="SanderGi/pcb-detection-augmented-seg",
repo_type="dataset"… See the full description on the dataset page: https://huggingface.co/datasets/SanderGi/pcb-detection-augmented-seg.lit-pcba-vs
LIT-PCBA Docked Poses (gnina virtual screening)
The docked poses from lit-pcba_vs.tgz, produced by the Koes lab at the
University of Pittsburgh for Virtual Screening with Gnina 1.0.
The original is one large archive that must be read start to finish. Here it
is split by target into lit-pcba-vs/, one archive per LIT-PCBA target, so
you can download only the targets you need:
hf download Kingldore/lit-pcba-vs lit-pcba-vs/FEN1.tar.gz --repo-type dataset
tar -xzf… See the full description on the dataset page: https://huggingface.co/datasets/Kingldore/lit-pcba-vs.pcb-detection-augmented-obb
PCB Detection Augmented OBB Dataset
Augmented PCB oriented-bounding-box data in YOLO format from
SanderGi/PCB-Detection.
The repository includes train, validation, and test images; OBB labels; dataset
configuration; and training outputs used by the published PCB OBB model.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="SanderGi/pcb-detection-augmented-obb",
repo_type="dataset",
local_dir="data/augmented_obb",
)
See… See the full description on the dataset page: https://huggingface.co/datasets/SanderGi/pcb-detection-augmented-obb.PKU-Market-PCB-corrected
PKU-Market-PCB-corrected
PCB defect detection — cleaned and consistently packaged version of the PKU-Market-PCB dataset.
PCB 缺陷检测 —— PKU-Market-PCB 数据集的清理与规范化打包版。
English · 中文
English
What is this?
A cleaned and consistently packaged version of PKU-Market-PCB
(Huang, Weibo & Wei, Peng. "A PCB Dataset for Defects Detection and Classification",
arXiv:1901.08204, 2019), released by the
Open Lab on Human Robot Interaction, Peking University.
The… See the full description on the dataset page: https://huggingface.co/datasets/KeenForgeAI/PKU-Market-PCB-corrected.PCB-AOI
PCB-AOI Dataset
Overview
PCB-AOI is an object detection dataset for Automated Optical Inspection (AOI) of Printed Circuit Boards (PCBs). It contains annotated PCB images intended for training and evaluating models that detect defects, components, or hardware constraint violations on PCBs.
The dataset is structured in YOLO format, split into train, valid, and test sets, with a data.yaml configuration file describing the classes and paths.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/kshitij1507/PCB-AOI.pcbslm-static-v2-unsloth-vlm
PCBSLM static-v2 Unsloth VLM
Portable multimodal Unsloth dataset for PCB layout/document-grounded training.
The JSONL splits use Unsloth/Gemma-style chat messages:
{
"messages": [
{"role": "user", "content": [
{"type": "image", "image": "assets/raw_docs/.../images/page.png"},
{"type": "text", "text": "instruction..."}
]},
{"role": "assistant", "content": [
{"type": "text", "text": "{...json answer...}"}
]}
]
}
Files… See the full description on the dataset page: https://huggingface.co/datasets/henry1477/pcbslm-static-v2-unsloth-vlm.PCB_AoI_KubeEdge-corrected
PCB_AoI_KubeEdge-corrected
PCB automated optical inspection (AOI) defect detection — cleaned version of the KubeEdge-Ianvs PCB-AoI public dataset.
PCB 自动光学检测（AOI）缺陷检测 —— KubeEdge-Ianvs PCB-AoI 公开数据集的清理修正版。
English · 中文
English
What is this?
A cleaned, de-duplicated and consistently packaged version of the
PCB-AoI Public Dataset, released by KubeEdge SIG AI members from
China Telecom and Raisecom Technology as an industrial defect-detection… See the full description on the dataset page: https://huggingface.co/datasets/KeenForgeAI/PCB_AoI_KubeEdge-corrected.pcb-defect-multi-modal-dataset
印制电路板焊接及装联缺陷多模态数据集
面向 PCB 焊接与装联缺陷识别、资料辅助根因分析和维修建议生成的中文多模态研究数据集。数据集将光学、扫描声学显微（SAM）和 X 射线等缺陷图像与来源标签、中文任务文本，以及可用的检测测量和试验工况关联，支持视觉语言模型的数据准备、指令微调实验和检索增强问答。
版本 v3 包含 5,000 条图像／缺陷区域样本、15,000 条任务指令，覆盖焊点连接质量、焊料分布与形态、焊接层结构及元件装联位置等方面的 14 类目标缺陷：
目标缺陷
含义与标注范围
虚焊
焊接界面未形成可靠的冶金结合，可能表现为接触不稳或间歇导通。
冷焊
热过程不足导致焊料未充分熔融或未形成合格连接，结合来源的热过程与外观信息标注。
少锡
焊料量或有效焊脚不足，焊接部位的填充或覆盖不充分。
多锡
焊料过量，形成过大的焊脚或明显堆积。
连锡
焊料连接本应相互隔离的端子或焊盘，形成焊料桥接。
开焊
应有焊接连接的部位缺少完整连接，或连接部位发生分离。
润湿不良… See the full description on the dataset page: https://huggingface.co/datasets/dezoe/pcb-defect-multi-modal-dataset.pc-builder-parts-2026
PC Builder Parts Dataset 2026
Machine-readable dataset of 126 current desktop PC parts (30 CPUs, 25 GPUs, 16 motherboards, 13 RAM
kits, 15 storage drives, 12 PSUs and 15 cases) with the compatibility rules needed to validate a
build: socket, chipset, RAM type, PSU wattage, case form factor, GPU clearance and storage interface.
Each part carries its specs, a performance tier, use-cases, a notes line and a last_verified
date. The 97 rows added in the 2026-07-29 expansion also… See the full description on the dataset page: https://huggingface.co/datasets/iBlessi/pc-builder-parts-2026.PCB-Solder-Joint-Defect-Detection-Dataset
PCB Solder Joint Defect Detection Dataset
The PCB manufacturing industry is facing challenges in maintaining high-quality standards, particularly in the detection of solder joint defects post-wave and reflow soldering. Existing solutions often rely on manual inspection or less efficient automated systems that are prone to errors. This dataset aims to address the specific technical challenge of accurately identifying and classifying defects in solder joints, fulfilling the business… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/PCB-Solder-Joint-Defect-Detection-Dataset.mf-pcba-bind
MF-PCBA-Bind
Code for generating these datasets can be found at https://github.com/Leash-Labs/mf-pcba-bind
Protein-ligand binding prediction datasets derived from the MF-PCBA benchmark.
This repository extends the original MF-PCBA dataset by:
Filtering to binding assays only (excluding phenotypic assays)
Removing PAINS (pan-assay interference compounds) that show non-specific activity
Providing pre-built validation and test splits for protein-ligand binding prediction
Aggregating… See the full description on the dataset page: https://huggingface.co/datasets/Leash-Biosciences/mf-pcba-bind.pcbPCB-Solder-Joint-Defect-Detection-Dataset
PCB Solder Joint Defect Detection Dataset
The PCB manufacturing industry is facing challenges in maintaining high-quality standards, particularly in the detection of solder joint defects post-wave and reflow soldering. Existing solutions often rely on manual inspection or less efficient automated systems that are prone to errors. This dataset aims to address the specific technical challenge of accurately identifying and classifying defects in solder joints, fulfilling the business… See the full description on the dataset page: https://huggingface.co/datasets/TerLiphi/PCB-Solder-Joint-Defect-Detection-Dataset.pcba_686978
Dataset Card for pcba_686978
Dataset Summary
pcba_686978 is a dataset included in MoleculeNet. PubChem BioAssay (PCBA) is a database consisting of biological activities of small molecules generated by high-throughput screening. We have chosen one of the larger tasks (ID 686978) as described in https://par.nsf.gov/servlets/purl/10168888.
Dataset Structure
Data Fields
Each split contains
smiles: the SMILES representation of a molecule
selfies:… See the full description on the dataset page: https://huggingface.co/datasets/zpn/pcba_686978.mf-pcba-bind
MF-PCBA-Bind
Code for generating these datasets can be found at https://github.com/Leash-Labs/mf-pcba-bind
Protein-ligand binding prediction datasets derived from the MF-PCBA benchmark.
This repository extends the original MF-PCBA dataset by:
Filtering to binding assays only (excluding phenotypic assays)
Removing PAINS (pan-assay interference compounds) that show non-specific activity
Providing pre-built validation and test splits for protein-ligand binding prediction… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/mf-pcba-bind.PCBench
Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models
📃 Paper
•
🤗 Dataset
•
🖥️ Code
Updates
[2025/05] We released codes for this project.
Contents
Introduction
Key Findings
Data Construction
Install
Run Code
Citation
Introduction
Large language models (LLMs) have witnessed rapid advancements, demonstrating remarkable capabilities. However, a notable… See the full description on the dataset page: https://huggingface.co/datasets/ALIENS232/PCBench.PCBSchemaGen-Benchmarks
PCBSchemaGen Benchmarks
Two benchmark suites for LLM-driven PCB schematic synthesis, from the paper
PCBSchemaGen: Reward-Guided LLM Code Synthesis for Printed Circuit Board (PCB) Schematic Design with Structured Verification.
Correctness in this domain is not defined by unit tests: there are no per-task golden references,
and SPICE does not validate schematic-level correctness. Instead, each task is scored by a
deterministic structural verifier against real-IC pin- and… See the full description on the dataset page: https://huggingface.co/datasets/Hzou9/PCBSchemaGen-Benchmarks.pc-building-egocentricpcb-defects-datasetPCB_V2pc-bench-results
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
Komal Kumar1, Aman Chadha2, Salman Khan1, Fahad Shahbaz Khan1, Hisham Cholakkal1
1 Mohamed bin Zayed University of Artificial Intelligence 2 AWS Generative AI Innovation Center, Amazon Web Services
[Github] [arXiv] [Live Demo] [Benchmark]
pcb-near-field-emi
PCB Near-Field EMI Classification Dataset
Printed Circuit Board near-field probe array measurements for electromagnetic interference (EMI) configuration classification.
Dataset Summary
This dataset contains CST full-wave electromagnetic simulation results of a 16-probe near-field array measuring the electromagnetic field above a PCB under 13 different design configurations. The task is to classify which PCB configuration produced a given near-field measurement—using only… See the full description on the dataset page: https://huggingface.co/datasets/vikilee9/pcb-near-field-emi.pcb-via-mesh-input-sparameter-outputThis dataset is very large, and contains the performance of single-ended vias. The vias are created using HFSS. The columns are as follows:
['index', 'drill_dia', 'cu_thickness', 'trace_width', 'via_stub_length', 'input_ref_plane_dist', 'output_ref_plane_dist', 'ap_dia', 'stitch_via_distance', 'config_string', 'input_data', 's11_real', 's11_imag', 's12_real', 's12_imag', 's21_real', 's21_imag', 's22_real', 's22_imag', 's11_real_unif', 's11_imag_unif', 's12_real_unif', 's12_imag_unif'… See the full description on the dataset page: https://huggingface.co/datasets/stephen-newberry/pcb-via-mesh-input-sparameter-output.PCBCNC-PCB-Grinder
Simple dataset for CNC grinder that engraves PCBs from copper blank.
Classes
0 - workspace: the workspace of the CNC mashine.
1 - blank: the copper PCB blank.
2 - danger: dangerous objects such as screws, clamps, handlers thats can broke mashine's tool.
Labeling
Dataset labeled manually by the humans for segmentational YOLO in it's native format.
Goal of the dataset
This dataset created for blank autodetection on workspace of CNC… See the full description on the dataset page: https://huggingface.co/datasets/CoolFridge/CNC-PCB-Grinder.PCB_V2OCR_PCB_dataset