library(tidyverse)

unified_csv <-"~/analysis_data/102125_unified.csv"
unified_df <- read.csv(human_csv, header = TRUE) 

# 1. aggregate to the task level 
#   1a. create human info proportions (ADAC/general)
#   1b. create OLMO info proportions (ADAC/general)
#   1c. 

# 2. assign sampling prob for different tasks
# refer to DSL specification sheet 

# 3. check validity of different aggregate variables 

# 4. save