🐛 correct date_published and instructions to run data

snapshots/harvard/2024-11-26/global_military_spending_dataset_burden.py

@@ -1,15 +1,10 @@
 """
 Script to create a snapshot of dataset.
 
-The file is manually uploaded, because it is a small file from a 1.5 GB zip file.
+This file was provided by Christopher Fariss to update an error in the dataset.
 
-STEPS TO UPDATE THIS SNAPSHOT
-
-    1. Go to https://dataverse.harvard.edu/file.xhtml?fileId=8144788
-    2. Download the file by selecting "Access File" and then "ZIP Archive".
-    3. Unzip the file and copy the file in "data/milburden_all_xxxxx.rds" to this directory. xxxxx is the date of the latest version of the data.
-    4. Run this script with the path to the file as an argument.
-        python snapshots/harvard/{version}/global_military_spending_dataset_burden.py --path-to-file milburden_xxxxx.rds
+Run
+    python snapshots/harvard/2024-11-26/global_military_spending_dataset_burden.py --path-to-file <path-to-file>
 
 
 """

snapshots/harvard/2024-11-26/global_military_spending_dataset_burden.rds.dvc

@@ -6,8 +6,7 @@ meta:
     title: Global Military Spending Dataset
     description: |-
       Military spending data measure key international relations concepts such as balancing, arms races, the distribution of power, and the severity of military burdens. Unfortunately, missing values and measurement error threaten the validity of existing findings. Addressing this challenge, we introduce the Global Military Spending Dataset (GMSD). GMSD collates new and existing expenditure variables from a comprehensive collection of sources, expands data coverage, and employs a latent variable model to estimate missing values and quantify measurement error.
-    date_published: "2024-03-07"
-    version_producer: Version 1
+    date_published: "2024-11-25"
     title_snapshot: Global Military Spending Dataset - Military Burden
 
     # Citation