prepare.py

import pandas as pd
from collections import Counter
import json
import random


df = pd.read_csv("original.csv")

print(df)


rows = [{'qid': row['qid'],
        'text': row['question_text'].strip(),
        'label': row['target'],
        'label_text': "insincere question" if row['target'] else "valid question",
         } for idx, row in df.iterrows()]

random.seed(42)
random.shuffle(rows)

num_test = 50000
splits = {'test': rows[0:num_test], 'train': rows[num_test:]}

print("Train:", len(splits['train']))
print("Test:", len(splits['test']))

num_labels = Counter()

for row in splits['test']:
    num_labels[row['label']] += 1
print(num_labels)

for split in ['train', 'test']:
    with open(f'{split}.jsonl', 'w') as fOut:
        for row in splits[split]:
            fOut.write(json.dumps(row)+"\n")