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MappingRouteOptimization

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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

MappingRouteOptimization

tags: routing, optimization, machine learning

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

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.

CSV Content Preview:


RouteID,RouteDescription,Latitude,Longitude,Label

1,Via main street from A to B avoiding the highway.,34.052235,-118.243683,AvoidHighway

2,Scenic route through downtown with multiple stops.,34.052235,-118.243683,ScenicDowntown

3,Shortest path from C to D via industrial area.,34.052235,-118.243683,ShortestPath

4,High-speed route from E to F with minimum toll stops.,34.052235,-118.243683,MinimizeTolls

5,Historic route showcasing local landmarks from G to H.,34.052235,-118.243683,ShowcaseLandmarks

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'map':