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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError Exception: CastError Message: Couldn't cast image: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string annotation: struct<description: string, objects: list<element: struct<bitmap: struct<data: string, origin: list<element: int64>>, classId: int64, classTitle: string, createdAt: string, description: string, geometryType: string, id: int64, labelerLogin: string, points: struct<exterior: list<element: list<element: int64>>, interior: list<element: list<element: list<element: int64>>>>, tags: list<element: null>, updatedAt: string>>, size: struct<height: int64, width: int64>, tags: list<element: struct<createdAt: string, id: int64, labelerLogin: string, name: string, tagId: int64, updatedAt: string, value: null>>> child 0, description: string child 1, objects: list<element: struct<bitmap: struct<data: string, origin: list<element: int64>>, classId: int64, classTitle: string, createdAt: string, description: string, geometryType: string, id: int64, labelerLogin: string, points: struct<exterior: list<element: list<element: int64>>, interior: list<element: list<element: list<element: int64>>>>, tags: list<element: null>, updatedAt: string>> child 0, element: struct<bitmap: struct<data: string, origin: list<element: int64>>, classId: int64, classTitle: string, createdAt: string, description: string, geometryType: string, id: int64, labelerLogin: string, points: struct<exterior: list<element: list<element: int64>>, interior: list<element: list<element: list<element: int64>>>>, tags: li ... d 0, element: list<element: int64> child 0, element: int64 child 1, interior: list<element: list<element: list<element: int64>>> child 0, element: list<element: list<element: int64>> child 0, element: list<element: int64> child 0, element: int64 child 9, tags: list<element: null> child 0, element: null child 10, updatedAt: string child 2, size: struct<height: int64, width: int64> child 0, height: int64 child 1, width: int64 child 3, tags: list<element: struct<createdAt: string, id: int64, labelerLogin: string, name: string, tagId: int64, updatedAt: string, value: null>> child 0, element: struct<createdAt: string, id: int64, labelerLogin: string, name: string, tagId: int64, updatedAt: string, value: null> child 0, createdAt: string child 1, id: int64 child 2, labelerLogin: string child 3, name: string child 4, tagId: int64 child 5, updatedAt: string child 6, value: null filename: string embedding: list<element: float> child 0, element: float cropped: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string text: string conditioning_image: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string -- schema metadata -- huggingface: '{"info": {"features": {"image": {"_type": "Image"}, "annota' + 1713 to {'image': Image(mode=None, decode=True, id=None), 'annotation': {'description': Value(dtype='string', id=None), 'objects': [{'bitmap': {'data': Value(dtype='string', id=None), 'origin': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}, 'classId': Value(dtype='int64', id=None), 'classTitle': Value(dtype='string', id=None), 'createdAt': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'geometryType': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'labelerLogin': Value(dtype='string', id=None), 'points': {'exterior': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'interior': Sequence(feature=Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), length=-1, id=None)}, 'tags': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'updatedAt': Value(dtype='string', id=None)}], 'size': {'height': Value(dtype='int64', id=None), 'width': Value(dtype='int64', id=None)}, 'tags': [{'createdAt': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'labelerLogin': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'tagId': Value(dtype='int64', id=None), 'updatedAt': Value(dtype='string', id=None), 'value': Value(dtype='null', id=None)}]}, 'filename': Value(dtype='string', id=None), 'embedding': Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None), 'cropped': Image(mode=None, decode=True, id=None), 'text': Value(dtype='string', id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute compute_first_rows_from_parquet_response( File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response rows_index = indexer.get_rows_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index return RowsIndex( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__ self.parquet_index = self._init_parquet_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index response = get_previous_step_or_raise( File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise raise CachedArtifactError( libcommon.simple_cache.CachedArtifactError: The previous step failed. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 73, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table pa_table = table_cast(pa_table, self.info.features.arrow_schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast image: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string annotation: struct<description: string, objects: list<element: struct<bitmap: struct<data: string, origin: list<element: int64>>, classId: int64, classTitle: string, createdAt: string, description: string, geometryType: string, id: int64, labelerLogin: string, points: struct<exterior: list<element: list<element: int64>>, interior: list<element: list<element: list<element: int64>>>>, tags: list<element: null>, updatedAt: string>>, size: struct<height: int64, width: int64>, tags: list<element: struct<createdAt: string, id: int64, labelerLogin: string, name: string, tagId: int64, updatedAt: string, value: null>>> child 0, description: string child 1, objects: list<element: struct<bitmap: struct<data: string, origin: list<element: int64>>, classId: int64, classTitle: string, createdAt: string, description: string, geometryType: string, id: int64, labelerLogin: string, points: struct<exterior: list<element: list<element: int64>>, interior: list<element: list<element: list<element: int64>>>>, tags: list<element: null>, updatedAt: string>> child 0, element: struct<bitmap: struct<data: string, origin: list<element: int64>>, classId: int64, classTitle: string, createdAt: string, description: string, geometryType: string, id: int64, labelerLogin: string, points: struct<exterior: list<element: list<element: int64>>, interior: list<element: list<element: list<element: int64>>>>, tags: li ... d 0, element: list<element: int64> child 0, element: int64 child 1, interior: list<element: list<element: list<element: int64>>> child 0, element: list<element: list<element: int64>> child 0, element: list<element: int64> child 0, element: int64 child 9, tags: list<element: null> child 0, element: null child 10, updatedAt: string child 2, size: struct<height: int64, width: int64> child 0, height: int64 child 1, width: int64 child 3, tags: list<element: struct<createdAt: string, id: int64, labelerLogin: string, name: string, tagId: int64, updatedAt: string, value: null>> child 0, element: struct<createdAt: string, id: int64, labelerLogin: string, name: string, tagId: int64, updatedAt: string, value: null> child 0, createdAt: string child 1, id: int64 child 2, labelerLogin: string child 3, name: string child 4, tagId: int64 child 5, updatedAt: string child 6, value: null filename: string embedding: list<element: float> child 0, element: float cropped: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string text: string conditioning_image: struct<bytes: binary, path: string> child 0, bytes: binary child 1, path: string -- schema metadata -- huggingface: '{"info": {"features": {"image": {"_type": "Image"}, "annota' + 1713 to {'image': Image(mode=None, decode=True, id=None), 'annotation': {'description': Value(dtype='string', id=None), 'objects': [{'bitmap': {'data': Value(dtype='string', id=None), 'origin': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}, 'classId': Value(dtype='int64', id=None), 'classTitle': Value(dtype='string', id=None), 'createdAt': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'geometryType': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'labelerLogin': Value(dtype='string', id=None), 'points': {'exterior': Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), 'interior': Sequence(feature=Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), length=-1, id=None)}, 'tags': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'updatedAt': Value(dtype='string', id=None)}], 'size': {'height': Value(dtype='int64', id=None), 'width': Value(dtype='int64', id=None)}, 'tags': [{'createdAt': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'labelerLogin': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'tagId': Value(dtype='int64', id=None), 'updatedAt': Value(dtype='string', id=None), 'value': Value(dtype='null', id=None)}]}, 'filename': Value(dtype='string', id=None), 'embedding': Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None), 'cropped': Image(mode=None, decode=True, id=None), 'text': Value(dtype='string', id=None)} because column names don't match
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