Replication Data for October 30, 2018 State Legislative Election Forecasts
<|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:'Replications files for the state legislative election forecasts made on October 30, 2018.The do file 101code20181030 has almost all the code that restructures SLERs, merges in other variables, runs the missing data imputation, runs the model that makes the point predictions, and does the simulations.  The files with prefixes 122 and 127 also have some code.  Every other file with a prefix larger than 101 is created by the code from the files with prefixes of 012 or lower.To run the code here, you have to get the September 8, 2018 version of SLERs posted on Dataverse with the title 'State Legislative Election Returns, 1967-2016', and add the prefix '001_' to the file name when you put it into the folder where you run the code.  I left that file out of this post to save storage space.  I also left out the drop-1 analysis files to ' . 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" : ["state legislative elections, forecasting, elections, election forecasting"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Replications files for the state legislative election forecasts made on October 30, 2018.The do file 101code20181030 has almost all the code that restructures SLERs, merges in other variables, runs the missing data imputation, runs the model that makes the point predictions, and does the simulations.  The files with prefixes 122 and 127 also have some code.  Every other file with a prefix larger than 101 is created by the code from the files with prefixes of 012 or lower.To run the code here, you have to get the September 8, 2018 version of SLERs posted on Dataverse with the title 'State Legislative Election Returns, 1967-2016', and add the prefix '001_' to the file name when you put it into the folder where you run the code.  I left that file out of this post to save storage space.  I also left out the drop-1 analysis files to ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Replications files for the state legislative election forecasts made on October 30, 2018.The do file 101code20181030 has almost all the code that restructures SLERs, merges in other variables, runs the missing data imputation, runs the model that makes the point predictions, and does the simulations.  The files with prefixes 122 and 127 also have some code.  Every other file with a prefix larger than 101 is created by the code from the files with prefixes of 012 or lower.To run the code here, you have to get the September 8, 2018 version of SLERs posted on Dataverse with the title 'State Legislative Election Returns, 1967-2016', and add the prefix '001_' to the file name when you put it into the folder where you run the code.  I left that file out of this post to save storage space.  I also left out the drop-1 analysis files to 
state legislative elections, forecasting, elections, election forecasting