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README.md
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---
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license: mit
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tags:
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- infinite-dataset-hub
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- synthetic
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---
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# 5GNetworkEfficiency
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tags: network performance, IoT communication, regression modeling
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_Note: This is an AI-generated dataset so its content may be inaccurate or false_
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**Dataset Description:**
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The '5GNetworkEfficiency' dataset is a curated collection of research studies and articles that focus on the impact of 5G networks on communication industry performance, with a special emphasis on IoT (Internet of Things) communication. Each record in the dataset represents a unique study that assesses various aspects of network performance and efficiency. The dataset is intended for ML practitioners looking to build regression models that predict network efficiency based on factors like signal strength, bandwidth, latency, and device connectivity. The label column 'ImpactFactor' categorizes each study into one of four impact levels based on the perceived influence on the communication industry.
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**CSV Content Preview:**
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```csv
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"StudyID","Title","PublicationDate","ImpactFactor","KeyFindings","DataSources","Methodology"
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"001","Enhancing IoT Communication with 5G Networks","2021-05-14","High","Improved device responsiveness and reliability","5G trials, IoT performance metrics","Experimental evaluation"
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"002","Network Performance Analysis in Urban 5G Deployments","2020-11-02","Medium","Reduction in latency and improved bandwidth","Urban 5G network trials, Performance benchmarks","Case study"
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"003","5G Impact on Telemedicine Services","2022-02-17","Low","Increased video call quality for remote healthcare","Telemedicine service logs, 5G deployment reports","Literature review"
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"004","5G Efficiency Metrics for Industrial Automation","2019-08-30","High","Enhanced industrial IoT connectivity and automation","Industrial 5G network trials, IoT performance metrics","Case study"
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"005","Benchmarking 5G for Smart City Applications","2021-04-22","Medium","Improved traffic management and public safety through 5G-enabled IoT","Smart city project reports, 5G network performance data","Comparative analysis"
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```
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**Source of the data:**
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The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'communication industry':
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- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=communication+industry&dataset=5GNetworkEfficiency&tags=network+performance,+IoT+communication,+regression+modeling
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- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
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