#!/bin/bash # Define model keys MODEL_KEYS=( "gpt-4-1106-preview" "gpt-3.5-turbo-1106" "aya-101" "gemini-pro" "claude-3-opus-20240229" "claude-3-sonnet-20240229" "claude-3-haiku-20240307" "Qwen1.5-72B-Chat" "Qwen1.5-14B-Chat" "Qwen1.5-32B-Chat" "text-bison-002" "c4ai-command-r-v01" "c4ai-command-r-plus" ) # Define countries and languages as an associative array declare -A COUNTRY_LANG COUNTRY_LANG["UK"]="English" COUNTRY_LANG["US"]="English" COUNTRY_LANG["South_Korea"]="Korean" COUNTRY_LANG["Algeria"]="Arabic" COUNTRY_LANG["China"]="Chinese" COUNTRY_LANG["Indonesia"]="Indonesian" COUNTRY_LANG["Spain"]="Spanish" COUNTRY_LANG["Iran"]="Persian" COUNTRY_LANG["Mexico"]="Spanish" COUNTRY_LANG["Assam"]="Assamese" COUNTRY_LANG["Greece"]="Greek" COUNTRY_LANG["Ethiopia"]="Amharic" COUNTRY_LANG["Northern_Nigeria"]="Hausa" COUNTRY_LANG["Azerbaijan"]="Azerbaijani" COUNTRY_LANG["North_Korea"]="Korean" COUNTRY_LANG["West_Java"]="Sundanese" # Prompt numbers PROMPT_NUMBERS=("inst-4" "pers-3") # Iterate over models, countries, languages, and prompts for model_key in "${MODEL_KEYS[@]}"; do for country in "${!COUNTRY_LANG[@]}"; do language="${COUNTRY_LANG[$country]}" for prompt_no in "${PROMPT_NUMBERS[@]}"; do python evaluate.py --model "$model_key" \ --language "$language" \ --country "$country" \ --prompt_no "$prompt_no" \ --id_col ID \ --question_col Translation \ --response_col response \ --annotation_filename "${country}_data.json" \ --annotations_key "annotations" \ --evaluation_result_file "evaluation_results.csv" if [ "$language" != "English" ]; then python evaluate.py --model "$model_key" \ --language "English" \ --country "$country" \ --prompt_no "$prompt_no" \ --id_col ID \ --question_col Translation \ --response_col response \ --annotation_filename "${country}_data.json" \ --annotations_key "annotations" \ --evaluation_result_file "evaluation_results.csv" fi done done done