Add sc:Time features to the CroissantBuilder.

PiperOrigin-RevId: 785417233

Author: The TensorFlow Datasets Authors

tensorflow_datasets/core/dataset_builders/croissant_builder.py

@@ -37,6 +37,7 @@
 from __future__ import annotations
 
 from collections.abc import Mapping, Sequence
+import datetime
 import json
 from typing import Any
 
@@ -169,8 +170,9 @@ def datatype_converter(
     feature = dtype_mapping[field_data_type]
   elif enp.lazy.is_np_dtype(field_data_type):
     feature = field_data_type
-  # We return a text feature for mlc.DataType.DATE features.
-  elif field_data_type == pd.Timestamp:
+  # We return a text feature for mlc.DataType.DATE and mlc.DataType.TIME
+  # features.
+  elif field_data_type == pd.Timestamp or field_data_type == datetime.time:
     feature = text_feature.Text(doc=field.description)
   elif field_data_type == mlc.DataType.IMAGE_OBJECT:
     feature = image_feature.Image(doc=field.description)

tensorflow_datasets/core/dataset_builders/croissant_builder_test.py

@@ -165,6 +165,11 @@ def test_bbox_datatype_converter_with_invalid_format():
             text_feature.Text,
             None,
         ),
+        (
+            mlc.Field(data_types=mlc.DataType.TIME, description="Time feature"),
+            text_feature.Text,
+            None,
+        ),
         (
             mlc.Field(
                 data_types=mlc.DataType.IMAGE_OBJECT,