prepare.py

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

df = pd.read_csv("subjects-questions.csv")
df.fillna('', inplace=True)
print(df)

label2id = {label: idx for idx, label in enumerate(df['Subject'].unique())}


rows = [{'text': row['eng'].strip(),
         'label': label2id[row['Subject']],
         'label_text': row['Subject'],
         } for idx, row in df.iterrows()]

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

num_test = 5000
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")