Fix dataset display labels to reflect dataset kind

CHANGELOG.md

@@ -7,6 +7,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [0.63.2] - 2026-10-04
+
+### Fixed
+
+- `tilebox-datasets`: Display the dataset kind in sync and async dataset clients instead of always showing
+  "Timeseries Dataset". Preserve the kind returned by the API; use "Dataset" when the kind is unspecified.
+
+## [0.63.1] - 2026-10-03
+
 ### Fixed
 
 - `tilebox-workflows`: Restore `GoogleStorageCache` support for Google SDK bucket objects, preserving their
@@ -575,7 +584,9 @@ the first client that does not cache data (since it's already on the local file
 - Released under the [MIT](https://opensource.org/license/mit) license.
 - Released packages: `tilebox-datasets`, `tilebox-workflows`, `tilebox-storage`, `tilebox-grpc`
 
-[Unreleased]: https://github.com/tilebox/tilebox-python/compare/v0.63.0...HEAD
+[Unreleased]: https://github.com/tilebox/tilebox-python/compare/v0.63.2...HEAD
+[0.63.2]: https://github.com/tilebox/tilebox-python/compare/v0.63.1...v0.63.2
+[0.63.1]: https://github.com/tilebox/tilebox-python/compare/v0.63.0...v0.63.1
 [0.63.0]: https://github.com/tilebox/tilebox-python/compare/v0.62.0...v0.63.0
 [0.61.0]: https://github.com/tilebox/tilebox-python/compare/v0.60.0...v0.61.0
 [0.60.0]: https://github.com/tilebox/tilebox-python/compare/v0.59.0...v0.60.0

tilebox-datasets/tilebox/datasets/aio/dataset.py

@@ -262,7 +262,9 @@ async def _collection_ids(
         return collection_ids
 
     def __repr__(self) -> str:
-        return f"{self.name} [Timeseries Dataset]: {self._dataset.summary}"
+        kind = self._dataset.type.kind
+        label = f"{kind.name.title()} Dataset" if kind else "Dataset"
+        return f"{self.name} [{label}]: {self._dataset.summary}"
 
 
 # always ingest / delete in batches, to avoid timeout issues for very large datasets

tilebox-datasets/tilebox/datasets/data/datasets.py

@@ -202,20 +202,23 @@ class AnnotatedType:
     descriptor_set: FileDescriptorSet
     type_url: str
     field_annotations: list[FieldAnnotation]
+    kind: DatasetKind | None = None
 
     @classmethod
     def from_message(cls, annotated_type: dataset_type_pb2.AnnotatedType) -> "AnnotatedType":
         return cls(
             descriptor_set=annotated_type.descriptor_set,
             type_url=annotated_type.type_url,
             field_annotations=[FieldAnnotation.from_message(a) for a in annotated_type.field_annotations],
+            kind=_dataset_kind_int_to_enum.get(annotated_type.kind),
         )
 
     def to_message(self) -> dataset_type_pb2.AnnotatedType:
         return dataset_type_pb2.AnnotatedType(
             descriptor_set=self.descriptor_set,
             type_url=self.type_url,
             field_annotations=[a.to_message() for a in self.field_annotations],
+            kind=self.kind.value if self.kind else dataset_type_pb2.DATASET_KIND_UNSPECIFIED,
         )
 
 

tilebox-datasets/tilebox/datasets/sync/dataset.py

@@ -263,7 +263,9 @@ def _collection_ids(
         return collection_ids
 
     def __repr__(self) -> str:
-        return f"{self.name} [Timeseries Dataset]: {self._dataset.summary}"
+        kind = self._dataset.type.kind
+        label = f"{kind.name.title()} Dataset" if kind else "Dataset"
+        return f"{self.name} [{label}]: {self._dataset.summary}"
 
 
 # always ingest / delete in batches, to avoid timeout issues for very large datasets