added features: quotes(book_title, large_context(4*more characters than the normal context), characters(book_title)

quoteli3.py

@@ -77,7 +77,9 @@ class QuoteLi3(datasets.GeneratorBasedBuilder):
                                        'answer_end': datasets.Value("int16"),
                                        'answer_in_context': datasets.Value("bool")},
                     "question": datasets.Value("string"),
-                    "context": datasets.Value("string")
+                    "context": datasets.Value("string"),
+                    "large_context": datasets.Value("string"),
+                    "book_title": datasets.Value("string")
                 }
             )
         else: #returns characters
@@ -87,7 +89,8 @@ class QuoteLi3(datasets.GeneratorBasedBuilder):
                     "description": datasets.Value("string"),
                     "gender": datasets.Value("string"),
                     "id": datasets.Value("string"),
-                    "name": datasets.Value("string")
+                    "name": datasets.Value("string"),
+                    "book_title": datasets.Value("string")
                 }
             )
         return datasets.DatasetInfo(
@@ -133,6 +136,7 @@ class QuoteLi3(datasets.GeneratorBasedBuilder):
                         quote_key = key + '_' + quote.attrib['id']
                         mention, search_text = self.find_mention(quote, path)
                         context = self.get_context(quote, path)
+                        large_context = self.get_context(quote, path, 4000)
                         answer_mention_start = context.find(search_text)
                         answer_mention_end = answer_mention_start + len(mention)
                         if mention != 'NO_MENTION' and answer_mention_start >= 0:
@@ -159,6 +163,8 @@ class QuoteLi3(datasets.GeneratorBasedBuilder):
                             "answer_mention": answer_mention,
                             "question": "Who says 'QUOTE'",
                             "context": context,
+                            "large_context": large_context,
+                            "book_title": key,
                         }
                 else:
                     character_list = base_tree.find('characters').findall('character')
@@ -170,6 +176,7 @@ class QuoteLi3(datasets.GeneratorBasedBuilder):
                             "gender": character.attrib["gender"] if 'gender' in character.attrib else 'no_gender',
                             "name": character.attrib["name"] if 'name' in character.attrib else 'no_name',
                             "id": character.attrib["id"] if 'id' in character.attrib else 'no_id',
+                            "book_title": key,
                         }
 
 
@@ -222,10 +229,8 @@ class QuoteLi3(datasets.GeneratorBasedBuilder):
             return 'NO_MENTION', 'NO_MENTION'
         return mention_text, search_text
 
-    def get_context(self, quote_element, filename):
+    def get_context(self, quote_element, filename, max_range=1000):
         chapter_text = self.get_texts_by_file(filename)
-        #maximum range for the context in characters
-        max_range = 1000
         quote = self.get_quote_content(quote_element)
         start_index = chapter_text.find(quote)