import json import jsonlines import argparse import pandas as pd import pprint from random import * def main(args): mainDict = {} with jsonlines.open(args.norwegian_input_file) as reader: for obj in reader: #Check if the value already exists neutral = "" entailment = "" contradiction = "" prompt = "" if mainDict.get(obj['promptID'], None): prompt = obj['sentence1'] entailment = mainDict[obj['promptID']].get('entailment','') contradiction = mainDict[obj['promptID']].get('contradiction','') neutral = mainDict[obj['promptID']].get('neutral','') if obj['gold_label'] == "neutral": neutral = obj['sentence2'] elif obj['gold_label'] == "contradiction": contradiction = obj['sentence2'] elif obj['gold_label'] == "entailment": entailment = obj['sentence2'] mainDict[obj['promptID']] = {'prompt': prompt, 'entailment' : entailment, 'neutral' : neutral, 'contradiction' : contradiction} myList = [] for promptID in mainDict: myList.append({'sent0':mainDict[promptID]['prompt'], 'sent1':mainDict[promptID]['entailment'], 'hard_neg':mainDict[promptID]['contradiction']}) df = pd.DataFrame.from_records(myList) #Drop empty df.replace("", float("NaN"), inplace=True) df.dropna(subset = ["sent0","sent1","hard_neg"], inplace=True) #Get the english file english = pd.read_csv(args.english_input_file) #Get the multilingual lookup file #multi = pd.read_csv(args.multilingual_input_file, sep='\t') #multi.columns=['id','english','norwegian'] #multi['english'] = multi['english'].str.strip() #multi['norwegian'] = multi['norwegian'].str.strip() #Create dictionary #mydict = {} #for index,row in multi.iterrows(): # mydict[row['norwegian']] = row['english'] #merged = df.copy() #for index, row in merged.iterrows(): # flip = randint(1,6) # if flip == 3 or flip == 4 or flip == 5: # merged.at[index, 'sent0'] = mydict.get(row['sent0'],row['sent0']) # # if flip == 2 or flip == 4 or flip == 6: # merged.at[index, 'sent1'] = mydict.get(row['sent1'],row['sent1']) # # if flip == 1 or flip == 5 or flip == 6: # merged.at[index,'hard_neg'] = mydict.get(row['hard_neg'],row['hard_neg']) combined = pd.concat([df, english]) combined = combined.sample(frac=1).reset_index(drop=True) #Save csv combined.to_csv(args.output_file, index=False) if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--norwegian_input_file', help="Norwegian json file.", required=True) parser.add_argument('--english_input_file', help="English csv file.", required=True) parser.add_argument('--output_file', help="Output file.", required=True) args = parser.parse_args() main(args)