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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
annotation_sha256: struct<bounding_boxes: string, captions: string, image_splits: string>
child 0, bounding_boxes: string
child 1, captions: string
child 2, image_splits: string
artifact_version: int64
dtype: string
feature: struct<filename: string, kind: string>
child 0, filename: string
child 1, kind: string
image_count: int64
limit: null
model: struct<checkpoint: null, name: string, type: string>
child 0, checkpoint: null
child 1, name: string
child 2, type: string
preprocessing: struct<image_size: int64, target_ratio: double, transform: string>
child 0, image_size: int64
child 1, target_ratio: double
child 2, transform: string
shape: list<item: int64>
child 0, item: int64
source_image_count: int64
split: struct<name: string, variant: string>
child 0, name: string
child 1, variant: string
status: string
written_count: int64
to
{'text': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
annotation_sha256: struct<bounding_boxes: string, captions: string, image_splits: string>
child 0, bounding_boxes: string
child 1, captions: string
child 2, image_splits: string
artifact_version: int64
dtype: string
feature: struct<filename: string, kind: string>
child 0, filename: string
child 1, kind: string
image_count: int64
limit: null
model: struct<checkpoint: null, name: string, type: string>
child 0, checkpoint: null
child 1, name: string
child 2, type: string
preprocessing: struct<image_size: int64, target_ratio: double, transform: string>
child 0, image_size: int64
child 1, target_ratio: double
child 2, transform: string
shape: list<item: int64>
child 0, item: int64
source_image_count: int64
split: struct<name: string, variant: string>
child 0, name: string
child 1, variant: string
status: string
written_count: int64
to
{'text': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'model', 'shape', 'written_count', 'annotation_sha256', 'preprocessing', 'artifact_version', 'image_count', 'dtype', 'feature', 'source_image_count', 'status', 'split', 'limit'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/ZaMinVo/oacirr-vitg-features/fashion_train/image_names.json (at revision ece0288e65d693c9ea7d91daefe3e98f3569780a), ['hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/car_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/car_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/fashion_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/fashion_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/landmark_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/landmark_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/product_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/product_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/union_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/union_train/manifest.json'], ['hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/car_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/car_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/fashion_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/fashion_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/landmark_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/landmark_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/product_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/product_train/manifest.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/union_train/image_names.json', 'hf://datasets/ZaMinVo/oacirr-vitg-features@ece0288e65d693c9ea7d91daefe3e98f3569780a/union_train/manifest.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
annotation_sha256: struct<bounding_boxes: string, captions: string, image_splits: string>
child 0, bounding_boxes: string
child 1, captions: string
child 2, image_splits: string
artifact_version: int64
dtype: string
feature: struct<filename: string, kind: string>
child 0, filename: string
child 1, kind: string
image_count: int64
limit: null
model: struct<checkpoint: null, name: string, type: string>
child 0, checkpoint: null
child 1, name: string
child 2, type: string
preprocessing: struct<image_size: int64, target_ratio: double, transform: string>
child 0, image_size: int64
child 1, target_ratio: double
child 2, transform: string
shape: list<item: int64>
child 0, item: int64
source_image_count: int64
split: struct<name: string, variant: string>
child 0, name: string
child 1, variant: string
status: string
written_count: int64
to
{'text': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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End of preview.
OACIRR ViT-G Features
Frozen base-LAVIS ViT-G token embeddings for the OACIRR Fashion, Car, Product, and Landmark train and validation galleries. Each artifact directory contains:
vitg_features.mmap: ordered float32 embeddings.image_names.json: image IDs in the matching order.manifest.json: model, preprocessing, split, and shape metadata.
Features use oacir_baseline with model type pretrain, target-pad ratio 1.25,
and image size 224. Source benchmark: OACIRR (CC-BY-4.0).
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