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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
caption_batch_count: int64
caption_batch_size: int64
created_at: timestamp[s]
dica_archives: list<item: struct<archive_bytes: int64, archive_index: int64, archive_sha256: string, image_count: i (... 297 chars omitted)
child 0, item: struct<archive_bytes: int64, archive_index: int64, archive_sha256: string, image_count: int64, manif (... 285 chars omitted)
child 0, archive_bytes: int64
child 1, archive_index: int64
child 2, archive_sha256: string
child 3, image_count: int64
child 4, manifest_path: string
child 5, origin_counts: struct<direct_source: int64, hf_tar: int64>
child 0, direct_source: int64
child 1, hf_tar: int64
child 6, path: string
child 7, shard_archive_index: int64
child 8, source_counts: struct<aibooru: int64, atf: int64, danbooru: int64, e621: int64, e6ai: int64, gelbooru: int64, hypno (... 49 chars omitted)
child 0, aibooru: int64
child 1, atf: int64
child 2, danbooru: int64
child 3, e621: int64
child 4, e6ai: int64
child 5, gelbooru: int64
child 6, hypnohub: int64
child 7, idolcomplex: int64
child 8, rule34xxx: int64
first_canonical_id: string
last_canonical_id: string
migration: struct<completed_at: timestamp[s], downloaded_manifest_inventory_count: int64, hard_skipped_dica_cou (... 338 chars omitted)
child 0, completed_at: timestamp[s]
child 1, downloaded_manifest_inventory_count: int64
...
nt64, gelbooru: int64, hypnohub: int64, rule34: int64, ru (... 15 chars omitted)
child 0, atf: int64
child 1, danbooru: int64
child 2, e621: int64
child 3, gelbooru: int64
child 4, hypnohub: int64
child 5, rule34: int64
child 6, rule34xxx: int64
shards: list<item: struct<dica_count: int64, first_canonical_id: string, last_canonical_id: string, path: st (... 115 chars omitted)
child 0, item: struct<dica_count: int64, first_canonical_id: string, last_canonical_id: string, path: string, row_c (... 103 chars omitted)
child 0, dica_count: int64
child 1, first_canonical_id: string
child 2, last_canonical_id: string
child 3, path: string
child 4, row_count: int64
child 5, shard_index: int64
child 6, sqlite_bytes: int64
child 7, sqlite_sha256: string
child 8, uploaded_at: timestamp[s]
disabled_source_totals: struct<aibooru: int64, e6ai: int64, furbooru: int64, idolcomplex: int64, nozomi: int64>
child 0, aibooru: int64
child 1, e6ai: int64
child 2, furbooru: int64
child 3, idolcomplex: int64
child 4, nozomi: int64
complete: bool
excluded_reasons: struct<canonical_identity_missing: int64, duplicate_identity: int64, source_deleted: int64>
child 0, canonical_identity_missing: int64
child 1, duplicate_identity: int64
child 2, source_deleted: int64
images_per_dica: int64
registered_unique_identities: int64
source_total_canonicals: int64
rows_per_shard: int64
updated_at: timestamp[s]
packaged_images: int64
to
{'caption_batch_size': Value('int64'), 'complete': Value('bool'), 'disabled_source_totals': {'aibooru': Value('int64'), 'e6ai': Value('int64'), 'furbooru': Value('int64'), 'idolcomplex': Value('int64'), 'nozomi': Value('int64')}, 'enabled_source_totals': {'atf': Value('int64'), 'danbooru': Value('int64'), 'e621': Value('int64'), 'gelbooru': Value('int64'), 'hypnohub': Value('int64'), 'rule34': Value('int64'), 'rule34xxx': Value('int64')}, 'excluded_images': Value('int64'), 'excluded_reasons': {'canonical_identity_missing': Value('int64'), 'duplicate_identity': Value('int64'), 'source_deleted': Value('int64')}, 'images_per_dica': Value('int64'), 'packaged_images': Value('int64'), 'producer': Value('string'), 'registered_unique_identities': Value('int64'), 'rows_per_shard': Value('int64'), 'schema_version': Value('string'), 'shards': List({'dica_count': Value('int64'), 'first_canonical_id': Value('string'), 'last_canonical_id': Value('string'), 'path': Value('string'), 'row_count': Value('int64'), 'shard_index': Value('int64'), 'sqlite_bytes': Value('int64'), 'sqlite_sha256': Value('string'), 'uploaded_at': Value('timestamp[s]')}), 'source_total_canonicals': Value('int64'), 'updated_at': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
caption_batch_count: int64
caption_batch_size: int64
created_at: timestamp[s]
dica_archives: list<item: struct<archive_bytes: int64, archive_index: int64, archive_sha256: string, image_count: i (... 297 chars omitted)
child 0, item: struct<archive_bytes: int64, archive_index: int64, archive_sha256: string, image_count: int64, manif (... 285 chars omitted)
child 0, archive_bytes: int64
child 1, archive_index: int64
child 2, archive_sha256: string
child 3, image_count: int64
child 4, manifest_path: string
child 5, origin_counts: struct<direct_source: int64, hf_tar: int64>
child 0, direct_source: int64
child 1, hf_tar: int64
child 6, path: string
child 7, shard_archive_index: int64
child 8, source_counts: struct<aibooru: int64, atf: int64, danbooru: int64, e621: int64, e6ai: int64, gelbooru: int64, hypno (... 49 chars omitted)
child 0, aibooru: int64
child 1, atf: int64
child 2, danbooru: int64
child 3, e621: int64
child 4, e6ai: int64
child 5, gelbooru: int64
child 6, hypnohub: int64
child 7, idolcomplex: int64
child 8, rule34xxx: int64
first_canonical_id: string
last_canonical_id: string
migration: struct<completed_at: timestamp[s], downloaded_manifest_inventory_count: int64, hard_skipped_dica_cou (... 338 chars omitted)
child 0, completed_at: timestamp[s]
child 1, downloaded_manifest_inventory_count: int64
...
nt64, gelbooru: int64, hypnohub: int64, rule34: int64, ru (... 15 chars omitted)
child 0, atf: int64
child 1, danbooru: int64
child 2, e621: int64
child 3, gelbooru: int64
child 4, hypnohub: int64
child 5, rule34: int64
child 6, rule34xxx: int64
shards: list<item: struct<dica_count: int64, first_canonical_id: string, last_canonical_id: string, path: st (... 115 chars omitted)
child 0, item: struct<dica_count: int64, first_canonical_id: string, last_canonical_id: string, path: string, row_c (... 103 chars omitted)
child 0, dica_count: int64
child 1, first_canonical_id: string
child 2, last_canonical_id: string
child 3, path: string
child 4, row_count: int64
child 5, shard_index: int64
child 6, sqlite_bytes: int64
child 7, sqlite_sha256: string
child 8, uploaded_at: timestamp[s]
disabled_source_totals: struct<aibooru: int64, e6ai: int64, furbooru: int64, idolcomplex: int64, nozomi: int64>
child 0, aibooru: int64
child 1, e6ai: int64
child 2, furbooru: int64
child 3, idolcomplex: int64
child 4, nozomi: int64
complete: bool
excluded_reasons: struct<canonical_identity_missing: int64, duplicate_identity: int64, source_deleted: int64>
child 0, canonical_identity_missing: int64
child 1, duplicate_identity: int64
child 2, source_deleted: int64
images_per_dica: int64
registered_unique_identities: int64
source_total_canonicals: int64
rows_per_shard: int64
updated_at: timestamp[s]
packaged_images: int64
to
{'caption_batch_size': Value('int64'), 'complete': Value('bool'), 'disabled_source_totals': {'aibooru': Value('int64'), 'e6ai': Value('int64'), 'furbooru': Value('int64'), 'idolcomplex': Value('int64'), 'nozomi': Value('int64')}, 'enabled_source_totals': {'atf': Value('int64'), 'danbooru': Value('int64'), 'e621': Value('int64'), 'gelbooru': Value('int64'), 'hypnohub': Value('int64'), 'rule34': Value('int64'), 'rule34xxx': Value('int64')}, 'excluded_images': Value('int64'), 'excluded_reasons': {'canonical_identity_missing': Value('int64'), 'duplicate_identity': Value('int64'), 'source_deleted': Value('int64')}, 'images_per_dica': Value('int64'), 'packaged_images': Value('int64'), 'producer': Value('string'), 'registered_unique_identities': Value('int64'), 'rows_per_shard': Value('int64'), 'schema_version': Value('string'), 'shards': List({'dica_count': Value('int64'), 'first_canonical_id': Value('string'), 'last_canonical_id': Value('string'), 'path': Value('string'), 'row_count': Value('int64'), 'shard_index': Value('int64'), 'sqlite_bytes': Value('int64'), 'sqlite_sha256': Value('string'), 'uploaded_at': Value('timestamp[s]')}), 'source_total_canonicals': Value('int64'), 'updated_at': Value('timestamp[s]')}
because column names don't matchNeed 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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All file contains 20,000 WebP images in 1536 resolutions instead
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