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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type string to null
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2014, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type string to null
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 1879, 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.
id string | version null | unitCode string | linkedId string | type string | content unknown | url string | hash string | docSignature string | timestamp int64 | lastTimeUpdated int64 | title unknown |
|---|---|---|---|---|---|---|---|---|---|---|---|
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"corporate_m... | ead_component:sova-aaa-rosefrig-ref68 | 7e7a9f5218a01509f46844e545466d4aeb9c3975 | 940754fceb8878dda068354a37fc9510 | 1,660,121,402 | 1,741,290,660 | "Edinburgh, Dorothy" |
End of preview.
Smithsonian Open Access Data
Pre-processed data dumps from the Smithsonian Open Access initiative, covering millions of objects across Smithsonian Institution museums and archives.
What is this?
The Smithsonian publishes their Open Access metadata on S3, but the raw data is split across 255 individual .txt files per unit. This dataset consolidates each unit's data into a single .jsonl.gz file for easier downloading and processing.
Files
Each file corresponds to a Smithsonian unit:
| File | Unit |
|---|---|
aaa.jsonl.gz |
Archives of American Art |
acah.jsonl.gz |
Archives Center, American History |
acm.jsonl.gz |
Anacostia Community Museum |
cfchfolklife.jsonl.gz |
Center for Folklife and Cultural Heritage |
chndm.jsonl.gz |
Cooper Hewitt, Smithsonian Design Museum |
eepa.jsonl.gz |
Eliot Elisofon Photographic Archives |
fbr.jsonl.gz |
Smithsonian Field Book Registry |
fsa.jsonl.gz |
Freer-Sackler Archives |
fsg.jsonl.gz |
Freer Gallery of Art and Arthur M. Sackler Gallery |
hac.jsonl.gz |
Horticulture Archives Collection |
hmsg.jsonl.gz |
Hirshhorn Museum and Sculpture Garden |
hsfa.jsonl.gz |
Human Studies Film Archives |
naa.jsonl.gz |
National Anthropological Archives |
nasm.jsonl.gz |
National Air and Space Museum |
nmaahc.jsonl.gz |
National Museum of African American History and Culture |
nmafa.jsonl.gz |
National Museum of African Art |
nmah.jsonl.gz |
National Museum of American History |
nmai.jsonl.gz |
National Museum of the American Indian |
nmnhanthro.jsonl.gz |
NMNH - Anthropology |
nmnhbirds.jsonl.gz |
NMNH - Birds |
nmnhbotany.jsonl.gz |
NMNH - Botany |
nmnheducation.jsonl.gz |
NMNH - Education |
nmnhento.jsonl.gz |
NMNH - Entomology |
nmnhfishes.jsonl.gz |
NMNH - Fishes |
Usage
# Clone the entire dataset
git clone https://huggingface.co/datasets/museado/smithsonian-data
# Or download individual files
wget https://huggingface.co/datasets/museado/smithsonian-data/resolve/main/nmah.jsonl.gz
# Decompress and explore
gunzip -c nmah.jsonl.gz | head -1 | jq .
Data Format
Each line is a JSON object representing a single Smithsonian record. The structure follows the Smithsonian's EDAN (Enterprise Digital Asset Network) schema.
Source
Original data from: https://smithsonian-open-access.s3-us-west-2.amazonaws.com/metadata/edan/
License
The underlying data is released by the Smithsonian under CC0.
Maintainer
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