Update process.py

process.py

@@ -0,0 +1,38 @@
+import json
+import os
+from random import seed, shuffle
+import re
+from tqdm import tqdm
+from typing import Dict
+from datasets import load_dataset
+
+
+SEP_TOKEN = " | "
+
+
+def create_data(hf_data):
+    df = hf_data.to_pandas()
+    output = []
+    for paragraph, g in df.groupby("paragraph"):
+        example = {
+            'paragraph': paragraph.replace(SEP_TOKEN, " "),
+            'questions': [_g.replace(SEP_TOKEN, " ") for _g in g['question']],
+            'answers': [_g.replace(SEP_TOKEN, " ") for _g in g['answer']],
+        }
+        example["questions_answers"] = SEP_TOKEN.join([f"question: {q}, answer: {a}" for q, a in zip(example["questions"], example["answers"])])
+        output.append(example)
+    return output
+
+
+if __name__ == '__main__':
+    qg_squad = load_dataset("lmqg/qg_itquad")
+    data_valid = create_data(qg_squad['validation'])
+    data_train = create_data(qg_squad['train'])
+    data_test = create_data(qg_squad['test'])
+    data_all = {'train': data_train, 'validation': data_valid, 'test': data_test}
+    output = './data/processed'
+    os.makedirs(output, exist_ok=True)
+    for k, _data in data_all.items():
+        with open('{}/{}.jsonl'.format(output, k), 'w') as f:
+            for single_data in tqdm(_data):
+                f.write(json.dumps(single_data) + '\n')