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README.md

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+This is the [IITJEE NEET AIIMS Students Questions Data](https://www.kaggle.com/mrutyunjaybiswal/iitjee-neet-aims-students-questions-data) dataset.
+
+It categorizes university entry questions into 4 categories: Physics, Chemistry, Biology, and Mathematics.

prepare.py

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+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")

subjects-questions.csv

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+size 29900009

test.jsonl

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+size 1486095

train.jsonl

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