datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CircuitSense
CircuitSense
This dataset is a comprehensive multimodal circuit question-answering benchmark designed to evaluate visual reasoning and problem-solving capabilities across three main domains: Perception, Analysis, and Design. The dataset contains structured question-answer pairs with accompanying visual content, targeting different engineering cognitive levels and reasoning tasks.
Dataset Structure
The dataset is organized into three primary folders, each containing… See the full description on the dataset page: https://huggingface.co/datasets/armanakbari4/CircuitSense.CircuitWeavepipeline_automation
Circuit Tracing Automation: LLMs can annotate attribution graphs
Custom automation pipeline on top of the circuit-tracer library. Automatically generates feature descriptions, supernodes, and validation scores for an attribution graph.
Repository Structure
prompts/ # Prompt datasets (shared across models)
prompts_capital.csv # Input prompts for attribution
ground_truth_capital.csv # Correct answers + intermediate… See the full description on the dataset page: https://huggingface.co/datasets/circuit-tracer-automation/pipeline_automation.CircuitNet
CircuitNet Dataset
circuit-discovery
Circuit Shotting Artifacts
This dataset stores large/generated artifacts externalized from Occupying-Mars/circuit-shotting.
The Git repo keeps source code, configs, lightweight reports, and current narrative documents. This HF dataset keeps generated datasets, raw result trees, pod artifact bundles, masks, dashboards, logs, adapters, and reference files that do not belong in normal Git history.
Artifact and Backup Locations
Issue 43 XCOMET Destructive… See the full description on the dataset page: https://huggingface.co/datasets/TokenBender/circuit-discovery.printed-circuit-board
Printed Circuit Board
This dataset is part of the Roboflow 100 benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
Dataset Statistics
Split
Images
Train
548
Validation
80
Test
44
Total
672
Classes (34)
Battery
Button
Buzzer
Capacitor Jumper
Capacitor
Clock
Connector
Diode
Display
EM
Electrolytic Capacitor
Ferrite Bead
Fuse
Heatsink
IC
Inductor
Jumper
Led
PS
Pads
Pins
Potentiometer
Resistor… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/printed-circuit-board.swebench-phase6-verdict-circuit
SWE-bench Pro Agent WANDERING — Verdict-Circuit dataset
99 long-horizon coding-agent trajectories from Qwen3.6-27B on SWE-bench Pro, hand-labeled by
outcome — success (40) · locked (39) · wandering (20) — plus per-trajectory mechanistic features
and the captured decision-point states used across the WANDERING research arc (OpenInterpretability).
This is the dataset behind the arc's papers: the detector (Tool-Entropy Collapse), the causal-locus
nulls, the behavioral rescue, the… See the full description on the dataset page: https://huggingface.co/datasets/caiovicentino1/swebench-phase6-verdict-circuit.Follow-Line-Simple-Circuit-Datasetcircuit-elements
Circuit Elements
This dataset is part of the Roboflow 100 benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
Dataset Statistics
Split
Images
Train
672
Validation
64
Test
36
Total
772
Classes (45)
Battery
Button
Buzzer
Capacitor Jumper
Capacitor Network
Capacitor
Clock
Conductor
Connector
Diode
Display
EM
Electrolytic Capacitor
Electrolytic capacitor
Ferrite Bead
Filter
Flex Cable
Fuse
Heatsink
IC… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/circuit-elements.circuitlens-gemma-2-2btranscoder-descriptions-and-evaluations
CircuitLens & WeightLens: Transcoder Descriptions and Evaluations
This dataset contains automatically generated descriptions and evaluation metrics for Gemma-2-2B transcoders, produced using CircuitLens and WeightLens methods.
Methods
CircuitLens: https://github.com/egolimblevskaia/CircuitLens
WeightLens: https://github.com/egolimblevskaia/WeightLens
Dataset Structure
The dataset is organized by layers (0, 4, 7, 10, 12, 15, 18, 21, 23, 25), with each layer… See the full description on the dataset page: https://huggingface.co/datasets/egolimblevskaia/circuitlens-gemma-2-2btranscoder-descriptions-and-evaluations.gpt2-ioi-mixed-circuitcircuitnetphasor-ac-circuits
Phasor AC Circuits
This dataset contains several ac circuits defined using phasors as well as a description of the components in these circuits.
Example Circuit
circuits_raw/circuit_page_1_circuit_1.png
components/circuit_page_1_circuit_1.yaml
circuit_id: circuit_page_1_circuit_1
components:
- bbox:
h: 52
w: 52
x: 176
y: 25
component_name: capacitor
- bbox:
h: 59
w: 59
x: 258
y: 90
component_name: inductor
- bbox:
h: 52
w:… See the full description on the dataset page: https://huggingface.co/datasets/dostoevskyIdiot/phasor-ac-circuits.Circuitsense-6kCircuitNet3.0
CircuitNet 3.0 Dataset
This is the public dataset release for CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design.
The code and documentation companion lives in sklp-eda-lab/iclr-circuitnet_3.0.
CircuitNet 3.0 is a multi-stage, multi-modal dataset for AI-driven circuit design. It is intended to support early-stage timing and power prediction, along with cross-stage representation learning over RTL, netlist, and layout-oriented… See the full description on the dataset page: https://huggingface.co/datasets/SKLP-EDA-LAB/CircuitNet3.0.RLCS_circuit_IEC_diagrams
RLC + Voltage Source IEC style handwrite+symbols Dataset
It consists of hand-drawn electronic components according to the IEC standard for resistors, capacitors, inductors and voltage sources. The images in the dataset are composed of images from the internet, from other datasets and handwritten by the project contributors
is part of the circuitscan project
synthetic-dataset-1d-500K-50K-0.1-reverse-padzerophotonic-integrated-circuit-yield
🏭 Photonic Integrated Circuit Yield Dataset
📊 125,000 synthetic (yield query, yield reasoning response) pairs covering process variation, defect density, lithography, and metrology challenges in CMOS-compatible photonic integrated circuit (PIC) manufacturing.
⚠️ Disclaimer: All entries are synthetically generated. Yield figures are computed from textbook models over sampled inputs, and citations are placeholders styled after technical sources; none reference a real… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/photonic-integrated-circuit-yield.Reverse-circuit-discoverysynthetic-dataset-v2-3d-5M-500K-0.1-padzerovlm-safety-circuits
VLMSafe-420: A Multimodal Safety Benchmark for VLM Circuit Analysis
A 420-entry multimodal safety dataset with counterfactual pairs, designed for mechanistic interpretability of safety circuits in Vision-Language Models.
Dataset Description
Each entry contains a harmful/benign counterfactual pair spanning 38 safety categories including 50 JailbreakBench-style prompts. The dataset covers three counterfactual types:
Type
Count
Description
Text… See the full description on the dataset page: https://huggingface.co/datasets/ArthT/vlm-safety-circuits.desperation-circuit-artifactsanalog-circuits-sky130
Dataset Card for Analog SPICE Circuits on SKY130
130,409 ngspice-simulated SPICE netlists on the open-source SkyWater SKY130 PDK, unified from three upstream sources into a single HuggingFace-loadable schema with deterministic topology-aware train/validation/test splits. Designed as a supervised (SPICE netlist → performance metrics) corpus for training of models for analog circuit design.
Fully open toolchain. Analog-EDA datasets commonly require a commercial SPICE simulator and/or… See the full description on the dataset page: https://huggingface.co/datasets/pphilip/analog-circuits-sky130.synthetic-dataset-v2-3d-3M-300K-0.1-reverseno-op-circuit-caches
Dataset Card for No-Op Circuit Activation Caches
Residual-stream activation caches for the paper
"Evidence Is Not Enough: Pass/Fail Signals That Don't Change a Coding Agent's Action."
This is the ~66 GB of cached model forward passes behind the paper's mechanistic-interpretability
analyses (activation patching, steering, the projection monitor, and the sparse-autoencoder study).
Paper & code: https://github.com/faizancodes/no-op-circuit-paper (PDF at paper/draft.pdf)
Author /… See the full description on the dataset page: https://huggingface.co/datasets/faizancodes/no-op-circuit-caches.synthetic-dataset-v2-3d-5M-500K-0.1-reverse-padzerosynthetic-dataset-v2-3d-3M-300K-0.1-padzeroFollow-Line-Simple-Circuit-DatasetOriginal-circuit-discoverysynthetic-dataset-1d-500K-50K-0.2-reverse