Update dataset features to be written to .json

deep-research.py

@@ -91,9 +91,9 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # if self.config.name == "train":  # This is the name of the configuration selected in BUILDER_CONFIGS above
         features = datasets.Features(
             {
-                "id": datasets.Value("string"),
-                "title": datasets.Value("string"),
-                "context": datasets.Value("string"),
+                "identification": datasets.Value("string"),
+                "title_text": datasets.Value("string"),
+                "context_text": datasets.Value("string"),
                 "question": datasets.Value("string"),
                 "answers": datasets.features.Sequence(
                     {"text": datasets.Value("string"), "answer_start": datasets.Value("int32"),}
@@ -142,7 +142,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        with open(filepath) as f:
+        with open(filepath, encoding="utf-8") as f:
             for key, row in enumerate(f):
                 data = json.loads(row)
                 for article in data["data"]: