Update megawika-test.py

megawika-test.py

@@ -138,26 +138,26 @@ class MegaWika(datasets.GeneratorBasedBuilder):
                             "source_text": datasets.Value("string"),
                             
                             # Question/answer pairs
-                            # "qa_pairs": datasets.Sequence(
-                            #     {
-                            #         "question": datasets.Value("string"),
-                            #         "en_answer": datasets.Value("string"),
-                            #         "lang_answer": datasets.Value("string"),
-                            #         "frames": datasets.Sequence(
-                            #             {
-                            #                 "frame": datasets.Value("string"),
-                            #                 "argument": datasets.Value("string")
-                            #             }
-                            #         ),
-                            #         "en_matches_in_source": [[datasets.Value("int32")]], # list of pair of int indices
-                            #         "en_match_in_passage": [datasets.Value("int32")], # pair of int indices
-                            #         "lang_matches_in_source": [[datasets.Value("int32")]], # list of pair of int indices
-                            #         "lang_match_in_passage": [datasets.Value("int32")], # pair of int indices
-                            #         "passage": [datasets.Value("string")],
-                            #         "en_answer_tokens": [datasets.Value("string")],
-                            #         "match_disambiguated_question": datasets.Value("string"),
-                            #     }
-                            # )
+                            "qa_pairs": datasets.Sequence(
+                                {
+                                    "question": datasets.Value("string"),
+                                    "en_answer": datasets.Value("string"),
+                                    "lang_answer": datasets.Value("string"),
+                                    "frames": datasets.Sequence(
+                                        {
+                                            "frame": datasets.Value("string"),
+                                            "argument": datasets.Value("string")
+                                        }
+                                    ),
+                                    "en_matches_in_source": [[datasets.Value("int32")]], # list of pair of int indices
+                                    "en_match_in_passage": [datasets.Value("int32")], # pair of int indices
+                                    "lang_matches_in_source": [[datasets.Value("int32")]], # list of pair of int indices
+                                    "lang_match_in_passage": [datasets.Value("int32")], # pair of int indices
+                                    "passage": [datasets.Value("string")],
+                                    "en_answer_tokens": [datasets.Value("string")],
+                                    "match_disambiguated_question": datasets.Value("string"),
+                                }
+                            )
                         }
                     )
                 }
@@ -236,23 +236,23 @@ class MegaWika(datasets.GeneratorBasedBuilder):
                                             "source_lang": entry.get("source_lang", ""),
                                             "source_url": entry.get("source_url", ""),
                                             "source_text": entry.get("source_text", ""),
-                                            # "qa_pairs": [
-                                            #     {
-                                            #         "question": qa_pair.get('question', ""),
-                                            #         "en_answer": qa_pair.get('en_answer', qa_pair.get('answer', "")),
-                                            #         'lang_answer': qa_pair.get('lang_answer', ''),
-                                            #         'frames': qa_pair.get('frames', []),
-                                            #         "en_matches_in_source": self._get_qa_pair_list_features(qa_pair, "en_matches_in_source"), 
-                                            #         "en_match_in_passage": self._get_qa_pair_list_features(qa_pair, "en_match_in_passage"), 
-                                            #         "lang_matches_in_source": self._get_qa_pair_list_features(qa_pair, "lang_matches_in_source"), 
-                                            #         "lang_match_in_passage": self._get_qa_pair_list_features(qa_pair, "lang_match_in_passage"), 
-                                            #         "passage": qa_pair.get('passage', []),
-                                            #         "en_answer_tokens": qa_pair.get('en_answer_tokens', qa_pair.get('answer_tokens', [])),
-                                            #         "match_disambiguated_question": qa_pair.get('match_disambiguated_question', ""),
-                                            #     }
-                                            #     for qa_pair
-                                            #     in entry.get('qa_pairs', [])
-                                            # ]
+                                            "qa_pairs": [
+                                                {
+                                                    "question": qa_pair.get('question', ""),
+                                                    "en_answer": qa_pair.get('en_answer', qa_pair.get('answer', "")),
+                                                    'lang_answer': qa_pair.get('lang_answer', ''),
+                                                    'frames': qa_pair.get('frames', []),
+                                                    "en_matches_in_source": self._get_qa_pair_list_features(qa_pair, "en_matches_in_source"), 
+                                                    "en_match_in_passage": self._get_qa_pair_list_features(qa_pair, "en_match_in_passage"), 
+                                                    "lang_matches_in_source": self._get_qa_pair_list_features(qa_pair, "lang_matches_in_source"), 
+                                                    "lang_match_in_passage": self._get_qa_pair_list_features(qa_pair, "lang_match_in_passage"), 
+                                                    "passage": qa_pair.get('passage', []),
+                                                    "en_answer_tokens": qa_pair.get('en_answer_tokens', qa_pair.get('answer_tokens', [])),
+                                                    "match_disambiguated_question": qa_pair.get('match_disambiguated_question', ""),
+                                                }
+                                                for qa_pair
+                                                in entry.get('qa_pairs', [])
+                                            ]
                                         }
                                         for entry
                                         in example.get("entries", [])