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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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# MappingRouteOptimization
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tags: routing, optimization, machine learning
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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 'MappingRouteOptimization' dataset is designed for use in machine learning projects that aim to improve the efficiency of routing algorithms. It contains a collection of route descriptions, their associated geographic coordinates, and potential labels indicating the type of optimization challenge they represent.
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**CSV Content Preview:**
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```
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RouteID,RouteDescription,Latitude,Longitude,Label
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1,Via main street from A to B avoiding the highway.,34.052235,-118.243683,AvoidHighway
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2,Scenic route through downtown with multiple stops.,34.052235,-118.243683,ScenicDowntown
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3,Shortest path from C to D via industrial area.,34.052235,-118.243683,ShortestPath
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4,High-speed route from E to F with minimum toll stops.,34.052235,-118.243683,MinimizeTolls
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5,Historic route showcasing local landmarks from G to H.,34.052235,-118.243683,ShowcaseLandmarks
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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 'map':
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- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=map&dataset=MappingRouteOptimization&tags=routing,+optimization,+machine+learning
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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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