Mandarine Academy Professional Timetabling Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Mandarine Academy Professional Timetabling (MAPT) is a real-world dataset suggested to solve Professional Timetabling Problems (PTPs). A rather under-exploited category of the overall Timetabling Problems. However, we believe it can still be applied to traditional problems (education, health, etc.) as a helpful benchmark dataset to assist researchers in comparing different methods. Compared to conventional educational datasets such as (ITC2007), MAPT proposes richer features inspired by real-world data to provide insight into corporate training logistics and timetabling complexities.Two different kinds of records are in MAPT:Input files that are used as testing the approach. Having 3 other groups (Small, Medium, and Large) each in 20 different instances, t' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Timetabling, Scheduling, Combinatorial optimisation, Multiple criteria analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Mandarine Academy Professional Timetabling (MAPT) is a real-world dataset suggested to solve Professional Timetabling Problems (PTPs). A rather under-exploited category of the overall Timetabling Problems. However, we believe it can still be applied to traditional problems (education, health, etc.) as a helpful benchmark dataset to assist researchers in comparing different methods. Compared to conventional educational datasets such as (ITC2007), MAPT proposes richer features inspired by real-world data to provide insight into corporate training logistics and timetabling complexities.Two different kinds of records are in MAPT:Input files that are used as testing the approach. Having 3 other groups (Small, Medium, and Large) each in 20 different instances, t' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Mandarine Academy Professional Timetabling (MAPT) is a real-world dataset suggested to solve Professional Timetabling Problems (PTPs). A rather under-exploited category of the overall Timetabling Problems. However, we believe it can still be applied to traditional problems (education, health, etc.) as a helpful benchmark dataset to assist researchers in comparing different methods. Compared to conventional educational datasets such as (ITC2007), MAPT proposes richer features inspired by real-world data to provide insight into corporate training logistics and timetabling complexities.Two different kinds of records are in MAPT:Input files that are used as testing the approach. Having 3 other groups (Small, Medium, and Large) each in 20 different instances, t
Timetabling, Scheduling, Combinatorial optimisation, Multiple criteria analysis