datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TopoSense-Bench
TopoSense-Bench: A Campus-Scale Benchmark for Semantic-Spatial Sensor Scheduling
TopoSense-Bench is a large-scale, rigorous benchmark designed to evaluate Large Language Models (LLMs) and agents on the Semantic-Spatial Sensor Scheduling (S³) problem. It features a realistic digital twin of a university campus equipped with 2,510 cameras and contains 5,250 natural language queries grounded in physical topology.
This dataset is the official benchmark for the ACM MobiCom 2026 paper:… See the full description on the dataset page: https://huggingface.co/datasets/IoT-Brain/TopoSense-Bench.omnimcp_smartenergy_iot_teaser
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_smartenergy_iot_teaser.iot-23-preprocessed
Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
Homepage: https://www.stratosphereips.org/datasets-iot23
This dataset contains a subset of the data from 20 captures of Malcious network traffic and 3 captures from live Benign Traffic on Internet of Things (IoT) devices. Created by Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga at the Avast AIC laboratory with the funding of Avast Software, this dataset is one of the best in the field for… See the full description on the dataset page: https://huggingface.co/datasets/19kmunz/iot-23-preprocessed.iot-23-preprocessed
Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
Homepage: https://www.stratosphereips.org/datasets-iot23
This dataset contains a subset of the data from 20 captures of Malcious network traffic and 3 captures from live Benign Traffic on Internet of Things (IoT) devices. Created by Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga at the Avast AIC laboratory with the funding of Avast Software, this dataset is one of the best in the field for… See the full description on the dataset page: https://huggingface.co/datasets/yashika0998/iot-23-preprocessed.mascarade-iot-dataset
Ailiance — IoT & Connected Devices Q&A
🇫🇷 Ailiance — curated by Ailiance for production deployment ; co-published with the upstream electron-rare/mascarade-iot-dataset. 🇪🇺 Compatible EU AI Act (Template AI Office, July 2025).
Q&A bilingue (FR/EN) sur l'IoT et les objets connectés : ESP32, Wi-Fi, BLE, LoRaWAN, MQTT, intégration Home Assistant, drivers de capteurs, et gestion d'énergie pour devices battery-powered.
Statistics
Métrique
Valeur
Total… See the full description on the dataset page: https://huggingface.co/datasets/Ailiance-fr/mascarade-iot-dataset.mascarade-iot-dataset
Mascarade — IoT & Connected Devices Q&A
Description
Q&A bilingue (FR/EN) sur l'IoT et les objets connectés : ESP32, Wi-Fi, BLE, LoRaWAN, MQTT, intégration Home Assistant, drivers de capteurs, et gestion d'énergie pour devices battery-powered.
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-iot-dataset.iot-23-preprocessed
Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic
Homepage: https://www.stratosphereips.org/datasets-iot23
This dataset contains a subset of the data from 20 captures of Malcious network traffic and 3 captures from live Benign Traffic on Internet of Things (IoT) devices. Created by Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga at the Avast AIC laboratory with the funding of Avast Software, this dataset is one of the best in the field for… See the full description on the dataset page: https://huggingface.co/datasets/pradnyap/iot-23-preprocessed.