Download/datasetLabel.py

import csv

downloadList = open("csv/Download_LabelFile.csv", "r", encoding="utf8")
downloadList = csv.DictReader(downloadList)

datasetSize = {'Training': 0.0, 'Validation': 0.0}
datasetKey = {'Training': [], 'Validation': []}

for row in downloadList:
    fileName = row["fileName"].split("_")
    datasetFileSize = row["fileSize"].split(" ")

    sizeNum = datasetFileSize[0]
    sizeType = datasetFileSize[1]


    if sizeType == "KB":
        datasetSize[fileName[0]] += float(sizeNum)*(1024**1)
        
    elif sizeType == "MB":
        datasetSize[fileName[0]] += float(sizeNum)*(1024**2)
        
    elif sizeType == "GB":
        datasetSize[fileName[0]] += float(sizeNum)*(1024**3)
    
    datasetKey[fileName[0]].append(row["fileKey"])

print(datasetSize["Training"]/(1024**3))
print(datasetSize["Validation"]/(1024**3))

print(datasetKey["Training"])
print(datasetKey["Validation"])

print("aihubshell -mode d -datasetkey 121 -filekey ", datasetKey["Training"])
print("aihubshell -mode d -datasetkey 121 -filekey ", datasetKey["Validation"])