datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
embedded-systems-qa
Embedded Systems Engineering Q&A — Instruction Dataset
A hand-authored instruction-tuning dataset of technical question/answer pairs for
embedded systems engineering, formatted for supervised fine-tuning of Mistral 7B
(Alpaca-style instruction / input / output schema).
At a glance
Entries
302
Format
JSONL, one JSON object per line
Schema
{"instruction": <question>, "input": "", "output": <answer>}
Language
English
Avg. answer length
~590… See the full description on the dataset page: https://huggingface.co/datasets/eniomecaj/embedded-systems-qa.kill-life-embedded-qa
Kill_LIFE — Embedded Knowledge-Base Q&A
Q&A spécifique au projet Kill_LIFE (compagnon vocal embarqué basé sur ESP32-S3 + Mascarade) : composants matériels du board, schémas KiCad du board ESP32-S3 minimal, simulations SPICE de l'alimentation/I2C/I2S/audio, et architecture du firmware (pipeline voix, contrôleur vocal, intégration backend).
Description
Issu de la knowledge-base interne du projet electron-rare/kill-life. Sert d'ancre factuelle pour le fine-tuning : permet au… See the full description on the dataset page: https://huggingface.co/datasets/electron-rare/kill-life-embedded-qa.kill-life-embedded-qa
Ailiance — Kill-LIFE Embedded Knowledge Base
🇫🇷 Ailiance — curated by Ailiance for production deployment ; co-published with the upstream electron-rare/kill-life-embedded-qa. 🇪🇺 Compatible EU AI Act (Template AI Office, July 2025).
Knowledge-base Q&A spécifique au projet Kill_LIFE (compagnon vocal embarqué ESP32-S3 + Mascarade) : composants matériels, schémas KiCad du board minimal, simulations SPICE de l'alimentation/I2C/I2S/audio, et architecture du firmware C++ (pipeline… See the full description on the dataset page: https://huggingface.co/datasets/Ailiance-fr/kill-life-embedded-qa.mascarade-embedded-dataset
Ailiance — Embedded Systems & Linux Q&A
🇫🇷 Ailiance — curated by Ailiance for production deployment ; co-published with the upstream electron-rare/mascarade-embedded-dataset. 🇪🇺 Compatible EU AI Act (Template AI Office, July 2025).
Q&A bilingue (FR/EN) sur les systèmes embarqués génériques : RTOS (FreeRTOS, Zephyr), Linux embarqué (Yocto, Buildroot), device tree, bootloaders (U-Boot, BL31), drivers noyau, et toolchains croisées.
Statistics
Métrique
Valeur… See the full description on the dataset page: https://huggingface.co/datasets/Ailiance-fr/mascarade-embedded-dataset.mongodb-docs-embedded
Overview
This dataset consists of chunked and embedded versions of a small subset of MongoDB's technical documentation.
Dataset Structure
The dataset consists of the following fields:
sourceName: The source of the document.
url: Link to the article.
action: Action taken on the article.
body: Content of the article in Markdown format.
format: Format of the content.
metadata: Metadata such as tags, content type etc. associated with the document.
title: Title of the… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/mongodb-docs-embedded.mascarade-embedded-dataset
Mascarade — Embedded Systems Q&A
Description
Q&A bilingue (FR/EN) sur les systèmes embarqués génériques : RTOS (FreeRTOS, Zephyr), Linux embarqué (Yocto, Buildroot), device tree, bootloaders (U-Boot, BL31), drivers noyau, et toolchains croisées.
Ce dataset fait partie de la famille Mascarade, un corpus thématique destiné au fine-tuning LoRA de modèles compacts (cible : Gemma-3n-E4B et équivalents) pour des assistants spécialisés en électronique embarquée.
Format : JSONL «… See the full description on the dataset page: https://huggingface.co/datasets/electron-rare/mascarade-embedded-dataset.devcenter-articles-embedded
Overview
This dataset consists of chunked and embedded versions of a subset of articles from the MongoDB Developer Center.
Dataset Structure
The dataset consists of the following fields:
sourceName: The source of the article. This value is devcenter for the entire dataset.
url: Link to the article
action: Action taken on the article. This value is created for the entire dataset.
body: Content of the chunk in Markdown format
format: Format of the content. This value is… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/devcenter-articles-embedded.