datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
power_electronics_v0This dataset is part of the EngiBench toolkit: https://github.com/IDEALLab/EngiBench.
Airbot_MMK2_storage_electronics_yellow_baket
Airbot_MMK2_storage_electronics_yellow_baket
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
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Overview
Total Episodes: 99
Total Frames: 25739
FPS: 30
Dataset Size: 879.43 MB
Robot Name: Airbot_MMK2
End-Effector Type: five_finger_gripper
Teleoperation Type: Due to some reasons, this dataset temporarily cannot provide the teleoperation type… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Airbot_MMK2_storage_electronics_yellow_baket.Airbot_MMK2_take_electronics
Airbot_MMK2_take_electronics
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
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Overview
Total Episodes: 49
Total Frames: 13465
FPS: 30
Dataset Size: 400.20 MB
Robot Name: Airbot_MMK2
End-Effector Type: five_finger_gripper
Teleoperation Type: Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.
Sensors:… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Airbot_MMK2_take_electronics.Airbot_MMK2_storage_electronics_white_basket
Airbot_MMK2_storage_electronics_white_basket
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
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Overview
Total Episodes: 50
Total Frames: 10024
FPS: 30
Dataset Size: 363.92 MB
Robot Name: Airbot_MMK2
End-Effector Type: five_finger_gripper
Teleoperation Type: Due to some reasons, this dataset temporarily cannot provide the teleoperation type… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Airbot_MMK2_storage_electronics_white_basket.electronics-assembly-egocentric-sample
🔌 Electronics Assembly — Egocentric Video Dataset (Sample)
This dataset is part of a larger collection of egocentric activity datasets by Verbose Tech Labs LLP. If you want the full dataset, or want access to more categories? Get in touch with us:
📞 Phone: +91 7672 000 500
💬 WhatsApp: +91 7672 000 500
📧 Email: Hello@VerboseTechLabs.com
🌐 Website: VerboseTechLabs.com
🔗 More datasets: kaggle.com/verbosetechlabsllp
Dataset Summary
First-person point-of-view… See the full description on the dataset page: https://huggingface.co/datasets/VerboseTechLabs/electronics-assembly-egocentric-sample.ai-generated-ecommerce-damaged-electronicsamazon_reviews_mobile_electronicsParameter_Golf_V11_Parallel_Residuals_Electronics_Bridge
Parameter Golf V11 — Parallel Residuals Electronics Bridge
This ZIP contains an English training dataset and bilingual explanatory notes for Parameter Golf preparation. It focuses on parallel residuals, serial vs parallel topology, electronics analogies, legal BPB claims, score-first TTT, ablation discipline, RunPod execution, and PR audit behavior.
Important status
This package is educational and preparatory. It does not claim a 0.81 BPB result. It treats 0.81 BPB as an… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter_Golf_V11_Parallel_Residuals_Electronics_Bridge.fetch_huggingface_playwright_with_chunk_terminal_yahoo-finance_7945_m3x9qk_reviews_electronics
Electronics Reviews
Customer reviews for consumer electronics products, crawled from public ShopStream marketplace listing pages.
Dataset Metadata
record_count: 45
usage_tier: evaluation
source: ShopStream Marketplace
source_category: public-web
last_synced: 2026-08-24
Attribution
Data collected from public web sources. Attribution: ShopStream Marketplace. Licensed under the cc-by-4.0 license.
bronx-pawn-shop-near-brighton-beach-for-electronics
Bronx pawn shop near brighton beach for electronics
Understanding Pawn Shop Services for Electronics: Navigating "Bronx Pawn Shop Near Brighton Beach for Electronics" King Gold & Pawn provides this comprehensive explainer to clarify common search queries regarding pawn shop services for electronics, specifically addressing the phrase "bronx pawn shop near brighton beach for electronics." As an authoritative educational writer for King Gold & Pawn, we aim to provide precise… See the full description on the dataset page: https://huggingface.co/datasets/CollateralAnalytics/bronx-pawn-shop-near-brighton-beach-for-electronics.electronics.stackexchange.comembedded-Electronics_V1
AEGIS v1 Dataset
Dataset Description
AEGIS v1 is an instruction-formatted (Alpaca-style) dataset for fine-tuning code-generation models on embedded systems programming — Arduino, ESP32, AVR, and STM32. It was built to train AEGIS, a QLoRA fine-tuned Qwen2.5-Coder-7B model for embedded/robotics code generation, developed by independent researcher Xerxes-28.
The dataset was compiled and reformatted from a set of open-source GitHub repositories covering sensor… See the full description on the dataset page: https://huggingface.co/datasets/Xerxes-28/embedded-Electronics_V1.Electronics_Product_Review_With_Sentiment
📊 Amazon Electronics Review Dataset
This dataset contains Amazon Electronics product reviews with sentiment.It was preprocessed to remove reviews without helpful vote and unverified purchases.
✅ Features
text: The main review text written by customers.
review_sentiment: Positive, Negative, Neutral (classified using Mistral Large Language Model).
verified_purchase: Boolean flag indicating if purchase was verified.
helpful_votes: Number of helpful votes received.… See the full description on the dataset page: https://huggingface.co/datasets/stephaniestv/Electronics_Product_Review_With_Sentiment.electronics_system_dataset_v1
Dataset Card for Jession01/electronics_system_dataset_v1
Dataset Description
This dataset contains images converted from PDFs using the PDFs to Page Images Converter Space.
Number of images: 597
Number of PDFs processed: 1
Sample size per PDF: 100
Created on: 2025-08-12 15:27:34
Dataset Creation
Source Data
The images in this dataset were generated from user-uploaded PDF files.
Processing Steps
PDF files were uploaded to the PDFs to… See the full description on the dataset page: https://huggingface.co/datasets/Jession01/electronics_system_dataset_v1.Amazon-electronicsminimind-fr-electronics-data
minimind-fr-electronics-data
sft_spec_electronics.jsonl (42,537) — conversations schema.
theprint/Electronics-QA + electronics.stackexchange.com (accepted
answers) + ~25% base-SFT replay; ~30% rows with a diagnostic <think>.
Built by scripts/convert_spec_electronics.py; see the
minimind-fr-electronics model card.
Built from
theprint/Electronics-QA
bshada/electronics.stackexchange.com
allenai/tulu-3-sft-mixture
jpacifico/French-Alpaca-dataset-Instruct-110K… See the full description on the dataset page: https://huggingface.co/datasets/yassinsiouda/minimind-fr-electronics-data.consumer-electronics-support
Dataset Card for Synthetic Multi-Turn Customer Support Tickets (Consumer Electronics)
99,930 wholly synthetic multi-turn customer-support conversations in a consumer-electronics
retail domain, each with assigned ticket metadata, a machine coherence score, and provenance
linking it to the run that produced it.
Dataset Details
Dataset Description
Every conversation is fabricated by a language model from a committed domain prompt. No real
support… See the full description on the dataset page: https://huggingface.co/datasets/arpieb/consumer-electronics-support.cell1_20260513_electronics-packing_esp-cable-2bb-jumpersmf-ff-dcy-dc_unpackingThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "starpilot_yam_gripper",
"total_episodes": 8,
"total_frames": 14466,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:8"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/starpilot-ai/cell1_20260513_electronics-packing_esp-cable-2bb-jumpersmf-ff-dcy-dc_unpacking.Parameter_Golf_V12_Thermal_Electronics_BPB_Lesson
Parameter Golf V12 — Thermal Electronics BPB Lesson
Created: 2026-04-22
What this is
V12 is an English dataset and training lesson package for Parameter Golf thinking. It connects:
GPU cooling and thermal throttling;
electronics intuition;
BPB and compression;
RunPod telemetry;
parallel/series/residual mental models;
concise prompt design for structured image generation;
honest record-claim discipline.
What this is not
This is not a new SOTA record claim. It… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter_Golf_V12_Thermal_Electronics_BPB_Lesson.electronics-datasetai-search-visibility-romania-electronics-market
AI Search Visibility — Romania's Electronics & IT Market (August 2026)
18 brand-free purchase questions × 5 AI engines = 87 answers. 86 of them name a major retailer. Position, not presence, decides the market. Raw data CC BY 4.0.
Canonical study (analysis, charts, interpretation):
Romanian ·
English
What this is
Eighteen real purchase questions were put to ChatGPT, Google Gemini, Perplexity, Google AI Mode and Google AI Overviews, in Romanian, from Romania, in… See the full description on the dataset page: https://huggingface.co/datasets/WebSEM-ai/ai-search-visibility-romania-electronics-market.amazon-reviews-2023-sampled-electronicsControl-Systems-Electronicsamazon-electronics-reviews
Dataset Card for "amazon-electronics-reviews"
More Information needed
power_electronics_v1
EngiBench PowerElectronics v1
PowerElectronics v1 is a simulator-frozen EngiBench dataset for data-driven
engineering design. It re-simulates the exact 13,824 input designs and preserves
the train/validation/test membership from
IDEALLab/power_electronics_v0,
but it is a new benchmark and does not claim to reproduce the v0 labels.
The canonical backend is ngspice 44.2 on Linux x86_64 in a pinned Apptainer
image. v1 corrects the objective semantics, retains signed physical… See the full description on the dataset page: https://huggingface.co/datasets/IDEALLab/power_electronics_v1.amazon_reviews_2023_electronics_full_balanced_curatedamazon_reviews_2023_electronics_full_complaints_curatedcell1_20260512_electronics-packing_esp-cable-2servoblue-bb-jumpersff-mm-prototypeboarThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "starpilot_yam_gripper",
"total_episodes": 5,
"total_frames": 15396,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/starpilot-ai/cell1_20260512_electronics-packing_esp-cable-2servoblue-bb-jumpersff-mm-prototypeboar.XMRec_metadata_fr_Electronics
Description
Cleaned version of the Digital Music subset (metadata folder) of XMRec dataset.In particular, we have made the images available as PILs.
Possible use cases are :
text classification, using the categories column as a label
product recommendation using the related column
hybrid text/image search (cf. this Jina.ai blog post)
Original paper citation
@inproceedings{bonab2021crossmarket,
author = {Bonab, Hamed and Aliannejadi, Mohammad and Vardasbi, Ali… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/XMRec_metadata_fr_Electronics.Electronics-QA
ANALOGELECTRONICS DATA SET
This synthetic data set was created with the following end user in mind: people who are interested in analog electronics This was examined from 7 different perspectives. The data consists of 2,516 questions and answer sets. The tone and approach was set using the following prompt:
" Your goal is to provide useful assistance for the user. The detail level of your responses should match the complexity of the user's request. You want to inspire the user… See the full description on the dataset page: https://huggingface.co/datasets/theprint/Electronics-QA.