datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
5gnr-pusch-iq-dmrs
5G NR PUSCH IQ DMRS Captures
Frequency-domain PUSCH IQ captures from an OAI 5G NR gNB (NI USRP X410 / USRP B210) with per-device IMSI labels embedded directly in each capture record. Collected over-the-air with commercial Quectel RM520N-GL modems and a software-defined USRP B210 UE.
Dataset summary
Filtering: only captures with a strongly visible DMRS RE comb (active/quiet power ratio ≥ 1.5×) are accepted
Format: v4 binary (.bin) — see nr_pusch_capture_oai for… See the full description on the dataset page: https://huggingface.co/datasets/ahancock516/5gnr-pusch-iq-dmrs.NeversNet5G_Vehicular_5G_NR_Dataset
NeversNet5G
NeversNet5G is a city-scale 5G NR vehicular network dataset generated through
SUMO and Simu5G/OMNeT++ co-simulation over the real urban road network of
Nevers, France. The release contains processed per-UE event-level CSV files,
not the raw OMNeT++ .vec/.sca outputs.
Release Contents
data/: 716 per-UE metric CSV files, grouped by scenario part.
configs/: OMNeT++/Simu5G configuration files used for the scenario. The
released omnetpp.ini is trimmed to… See the full description on the dataset page: https://huggingface.co/datasets/Askedrin/NeversNet5G_Vehicular_5G_NR_Dataset.jiho_5goThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 2,
"total_frames": 524,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:2"
},
"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/qownscks/jiho_5go.5g_netopstweet_data_5gbasia-unsdg-proportion-of-population-covered-by-at-least-a-5g-mobil-it-mob-5gntwk5G-Network-Energy-Consumption
5G Network Energy Consumption Dataset
This dataset provides normalized real-world measurements of energy consumption and operational data from a large-scale 5G network deployment.
It includes eight days of measurements collected from more than 1,000 RRU/AAUs, covering 12 different hardware products.
The dataset is intended to support research in energy-efficient mobile networks, network optimization, and data-driven modeling of 5G systems.
📂 Dataset Structure
The… See the full description on the dataset page: https://huggingface.co/datasets/netop/5G-Network-Energy-Consumption.africa-unsdg-proportion-of-population-covered-by-at-least-a-5g-mobil-it-mob-5gntwk
Africa Unsdg Proportion of Population Covered by At Least a 5g Mobil It Mob 5gntwk | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: demographics_social - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-unsdg-proportion-of-population-covered-by-at-least-a-5g-mobil-it-mob-5gntwk.5G_measurements5GIndustryImpactCanadaChina
5GIndustryImpactCanadaChina
tags: industrial applications, IoT, smart city analytics
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The '5GIndustryImpactCanadaChina' dataset comprises a curated collection of articles, studies, and reports that discuss the deployment and impact of 5G technology in the industrial sectors of China and Canada. It focuses on the industrial applications of 5G, IoT integration, and advancements in smart… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/5GIndustryImpactCanadaChina.europe-unsdg-proportion-of-population-covered-by-at-least-a-5g-mobil-it-mob-5gntwk5g-traffic-data-2024