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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'filesize', 'files', 'hash_lfs', 'hash'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/deepghs/danbooru2023_index/original/data-0000.json (at revision 1519a0805724ff03d3cd99e496338bcf2eb799c2)
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)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
filesize: int64
hash: string
hash_lfs: string
files: struct<./1000.png: struct<offset: int64, size: int64, sha256: string>, ./10000.jpg: struct<offset: int64, size: int64, sha256: string>, ./100000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1000000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1001000.png: struct<offset: int64, size: int64, sha256: string>, ./1002000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1003000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1004000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1005000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1006000.png: struct<offset: int64, size: int64, sha256: string>, ./1007000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1008000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1009000.jpg: struct<offset: int64, size: int64, sha256: string>, ./101000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1010000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1011000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1012000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1013000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1014000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1015000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1016000.jpg: struct<offset: int64, size: int64, sha256: string>, ./1017000.jpg: struct<offset: int64, siz
...
sha256: string
child 6757, ./991000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6758, ./992000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6759, ./993000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6760, ./994000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6761, ./995000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6762, ./996000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6763, ./997000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6764, ./998000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
child 6765, ./999000.jpg: struct<offset: int64, size: int64, sha256: string>
child 0, offset: int64
child 1, size: int64
child 2, sha256: string
to
{'text': Value(dtype='int64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 4 new columns ({'filesize', 'files', 'hash_lfs', 'hash'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/deepghs/danbooru2023_index/original/data-0000.json (at revision 1519a0805724ff03d3cd99e496338bcf2eb799c2)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text
int64 |
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End of preview.
Tar index files for nyanko7/danbooru2023.
You can download images from both nyanko7/danbooru2023 and deepghs/danbooru_newest with cheesechaser.
from cheesechaser.datapool import DanbooruNewestDataPool
pool = DanbooruNewestDataPool()
# download danbooru original images from 7200000-7201000, to directory /data/danbooru_original
pool.batch_download_to_directory(
resource_ids=range(7200000, 7201000),
dst_dir='/data/danbooru_original',
max_workers=12,
)
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