init

generate_reference_files.py

@@ -0,0 +1,7 @@
+import os
+from datasets import load_dataset
+
+os.makedirs('./reference_files', exist_ok=True)
+dataset = load_dataset('asahi417/qg_jaquad')
+
+for _type in ['validation', 'test']:

process.py

@@ -21,19 +21,19 @@ def get_sentence(document: str):
 
 def process_single_data(data: Dict):
     """ Convert single raw json data into QG format """
-    example = {'question': data["question"], 'passage': data["context"]}
+    example = {'question': data["question"], 'paragraph': data["context"]}
 
     # check answer
     answer_text = data['answers']['text'][0]
     answer_start = data['answers']['answer_start'][0]
     answer_end = answer_start + len(answer_text)
-    assert example['passage'][answer_start: answer_end] == answer_text
+    assert example['paragraph'][answer_start: answer_end] == answer_text
     example['answer'] = answer_text
 
     # get sentence
-    position = example['passage'].find(example['answer'])
+    position = example['paragraph'].find(example['answer'])
     assert position != -1
-    before_tmp = get_sentence(example['passage'][:position])
+    before_tmp = get_sentence(example['paragraph'][:position])
     if len(before_tmp) == 0:
         before = ''
         before_sentence = ''
@@ -44,7 +44,7 @@ def process_single_data(data: Dict):
         else:
             before = ' '.join(before_tmp[:-1])
             before_sentence = before_tmp[-1]
-    after_tmp = get_sentence(example['passage'][position + len(example['answer']):])
+    after_tmp = get_sentence(example['paragraph'][position + len(example['answer']):])
     if len(after_tmp) == 0:
         after = ''
         after_sentence = ''
@@ -53,27 +53,25 @@ def process_single_data(data: Dict):
         after_sentence = after_tmp[0]
     example['sentence'] = '{}{}{}'.format(before_sentence, example['answer'], after_sentence)
 
-    # get passage_sentence
+    # get paragraph_sentence
     source_text = '{0}{1}{2}{1}{3}'.format(before, HIGHLIGHT_TOKEN, example['sentence'], after)
-    example['passage_sentence'] = re.sub(r'\s+', ' ', source_text)
+    example['paragraph_sentence'] = re.sub(r'\s+', ' ', source_text)
 
-    # get passage_answer
+    # get paragraph_answer
     source_text = '{0}{1}{2}{1}{3}'.format(
-        example['passage'][:position], HIGHLIGHT_TOKEN, example['answer'],
-        example['passage'][position + len(example['answer']):])
-    example['passage_answer'] = re.sub(r'\s+', ' ', source_text)
+        example['paragraph'][:position], HIGHLIGHT_TOKEN, example['answer'],
+        example['paragraph'][position + len(example['answer']):])
+    example['paragraph_answer'] = re.sub(r'\s+', ' ', source_text)
 
     # get sentence_answer
-    before = get_sentence(example['passage'][:position])
-    if len(before) == 0 or before[-1].endswith('。'):
+    if len(before_tmp) == 0 or before_tmp[-1].endswith('。'):
         before = ''
     else:
-        before = before[-1]
-    after = get_sentence(example['passage'][position + len(example['answer']):])
-    if len(after) == 0:
+        before = before_tmp[-1]
+    if len(after_tmp) == 0:
         after = ''
     else:
-        after = after[0]
+        after = after_tmp[0]
     source_text = '{0}{1}{2}{1}{3}'.format(before, HIGHLIGHT_TOKEN, example['answer'], after)
     example['sentence_answer'] = re.sub(r'\s+', ' ', source_text)
     for _k in example.keys():

qg_jaquad.py

@@ -44,9 +44,6 @@ class QGJaquad(datasets.GeneratorBasedBuilder):
                 }
             ),
             supervised_keys=None,
-            # task_templates=[
-            #     Summarization(task='question generation', text_column="passage_answer", summary_column='question')
-            # ],
             homepage="https://github.com/asahi417/lm-question-generation"
         )