fix dataset

process/tweet_qa.py

@@ -2,27 +2,28 @@ import os
 import json
 from datasets import load_dataset
 
-os.makedirs("data/tweet_qa", exist_ok=True)
+os.makedirs("data/tweet_qg", exist_ok=True)
 data = load_dataset("lmqg/qg_tweetqa")
 
 
 def process(tmp):
  tmp = [i.to_dict() for _, i in tmp.iterrows()]
  for i in tmp:
- i['text'] = i.pop('paragraph_question')
- i['gold_label_str'] = i.pop('answer')
- i.pop("paragraph")
- i.pop("question")
+ i.pop('paragraph_question')
+ i['text'] = i.pop("paragraph")
+ i['gold_label_str'] = i.pop("answer")
+ i['context'] = i.pop("question")
  return tmp
 
+
 train = process(data["train"].to_pandas())
 val = process(data["validation"].to_pandas())
 test = process(data["test"].to_pandas())
-with open("data/tweet_qa/train.jsonl", "w") as f:
+with open("data/tweet_qg/train.jsonl", "w") as f:
  f.write("\n".join([json.dumps(i) for i in train]))
-with open("data/tweet_qa/validation.jsonl", "w") as f:
+with open("data/tweet_qg/validation.jsonl", "w") as f:
  f.write("\n".join([json.dumps(i) for i in val]))
-with open("data/tweet_qa/test.jsonl", "w") as f:
+with open("data/tweet_qg/test.jsonl", "w") as f:
  f.write("\n".join([json.dumps(i) for i in test]))
 
 

process/tweet_qg.py

@@ -10,8 +10,9 @@ def process(tmp):
  tmp = [i.to_dict() for _, i in tmp.iterrows()]
  for i in tmp:
  i.pop('paragraph_question')
- i['text'] = f"context: {i.pop('paragraph')}, answer:{i.pop('answer')}"
- i['gold_label_str'] = i.pop('question')
+ i['text'] = i.pop("paragraph")
+ i['context'] = i.pop("answer")
+ i['gold_label_str'] = i.pop("question")
  return tmp