Update tydiqa-primary.py

tydiqa-primary.py

@@ -47,49 +47,43 @@ class tydiqa_Primary(datasets.GeneratorBasedBuilder):
         # TODO(tydiqa): Specifies the datasets.DatasetInfo object
 
         return datasets.DatasetInfo(
-                # This is the description that will appear on the datasets page.
-                description=_DESCRIPTION,
-                # datasets.features.FeatureConnectors
-                features=datasets.Features(
-                    {
-                        "passage_answer_candidates": datasets.features.Sequence(
-                            {
-                                "plaintext_start_byte": datasets.Value("int32"),
-                                "plaintext_end_byte": datasets.Value("int32"),
-                            }
-                        ),
-                        "question_text": datasets.Value("string"),
-                        "document_title": datasets.Value("string"),
-                        "language": datasets.Value("string"),
-                        "annotations": datasets.features.Sequence(
-                            {
-                                #'annotation_id': datasets.Value('int32'),
-                                'minimal_answer': datasets.features.Sequence(
-                                    {
-                                        'plaintext_start_byte':datasets.Value("int32"),
-                                        'plaintext_end_byte':datasets.Value("int32"),
-
-                                
-                                    }
-                                ),
-
-                                "yes_no_answer": datasets.Value("string"),
-                            }
-                        ),
-                        "document_plaintext": datasets.Value("string"),
-                        # 'example_id': datasets.Value('variant'),
-                        "document_url": datasets.Value("string")
-                        # These are the features of your dataset like images, labels ...
-                    }
-                ),
-                # If there's a common (input, target) tuple from the features,
-                # specify them here. They'll be used if as_supervised=True in
-                # builder.as_dataset.
-                supervised_keys=None,
-                # Homepage of the dataset for documentation
-                homepage="https://github.com/google-research-datasets/tydiqa",
-                citation=_CITATION,
-            )
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "passage_answer_candidates": datasets.features.Sequence(
+                        {
+                            "plaintext_start_byte": datasets.Value("int32"),
+                            "plaintext_end_byte": datasets.Value("int32"),
+                        }
+                    ),
+                    "question_text": datasets.Value("string"),
+                    "document_title": datasets.Value("string"),
+                    "language": datasets.Value("string"),
+                    "annotations": datasets.features.Sequence(
+                        {
+                            # 'annotation_id': datasets.Value('variant'),
+                            "passage_answer_candidate_index": datasets.Value("int32"),
+                            "minimal_answers_start_byte": datasets.Value("int32"),
+                            "minimal_answers_end_byte": datasets.Value("int32"),
+                            "yes_no_answer": datasets.Value("string"),
+                        }
+                    ),
+                    "document_plaintext": datasets.Value("string"),
+                    # 'example_id': datasets.Value('variant'),
+                    "document_url": datasets.Value("string")
+                    # These are the features of your dataset like images, labels ...
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://github.com/google-research-datasets/tydiqa",
+            citation=_CITATION,
+        )
                     
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
@@ -117,10 +111,45 @@ class tydiqa_Primary(datasets.GeneratorBasedBuilder):
         # TODO(tydiqa): Yields (key, example) tuples from the dataset
 
         with open(filepath, encoding="utf-8") as f:
-            print("So far so good")
-            for _id,row in enumerate(f):
-
+            for id_, row in enumerate(f):
                 data = json.loads(row)
-
-
-                yield _id, data
+                passages = data["passage_answer_candidates"]
+                end_byte = [passage["plaintext_end_byte"] for passage in passages]
+                start_byte = [passage["plaintext_start_byte"] for passage in passages]
+                title = data["document_title"]
+                lang = data["language"]
+                question = data["question_text"]
+                annotations = data["annotations"]
+                # annot_ids = [annotation["annotation_id"] for annotation in annotations]
+                yes_no_answers = [annotation["yes_no_answer"] for annotation in annotations]
+                min_answers_end_byte = [
+                    annotation["minimal_answer"]["plaintext_end_byte"] for annotation in annotations
+                ]
+                min_answers_start_byte = [
+                    annotation["minimal_answer"]["plaintext_start_byte"] for annotation in annotations
+                ]
+                passage_cand_answers = [
+                    annotation["passage_answer"]["candidate_index"] for annotation in annotations
+                ]
+                doc = data["document_plaintext"]
+                # example_id = data["example_id"]
+                url = data["document_url"]
+                yield id_, {
+                    "passage_answer_candidates": {
+                        "plaintext_start_byte": start_byte,
+                        "plaintext_end_byte": end_byte,
+                    },
+                    "question_text": question,
+                    "document_title": title,
+                    "language": lang,
+                    "annotations": {
+                        # 'annotation_id': annot_ids,
+                        "passage_answer_candidate_index": passage_cand_answers,
+                        "minimal_answers_start_byte": min_answers_start_byte,
+                        "minimal_answers_end_byte": min_answers_end_byte,
+                        "yes_no_answer": yes_no_answers,
+                    },
+                    "document_plaintext": doc,
+                    # 'example_id': example_id,
+                    "document_url": url,
+                }