The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
passed: bool
checked_parent_rotation: int64
restored: struct<complete: bool, images: int64, parents: int64, physical_crops: int64, smoke_only: bool, forma (... 147 chars omitted)
child 0, complete: bool
child 1, images: int64
child 2, parents: int64
child 3, physical_crops: int64
child 4, smoke_only: bool
child 5, format: string
child 6, parent_sampling_weight: int64
child 7, variant_policy: string
child 8, dataset_sha256: string
child 9, source_index_sha256: string
child 10, image_bytes_rewritten: bool
upload_bytes: int64
all_shard_payloads_checked: bool
all_target_geometry_and_quality_checked: bool
crops: int64
parents: int64
shards: int64
to
{'passed': Value('bool'), 'parents': Value('int64'), 'crops': Value('int64'), 'all_shard_payloads_checked': Value('bool'), 'all_target_geometry_and_quality_checked': Value('bool'), 'shards': Value('int64'), 'upload_bytes': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
passed: bool
checked_parent_rotation: int64
restored: struct<complete: bool, images: int64, parents: int64, physical_crops: int64, smoke_only: bool, forma (... 147 chars omitted)
child 0, complete: bool
child 1, images: int64
child 2, parents: int64
child 3, physical_crops: int64
child 4, smoke_only: bool
child 5, format: string
child 6, parent_sampling_weight: int64
child 7, variant_policy: string
child 8, dataset_sha256: string
child 9, source_index_sha256: string
child 10, image_bytes_rewritten: bool
upload_bytes: int64
all_shard_payloads_checked: bool
all_target_geometry_and_quality_checked: bool
crops: int64
parents: int64
shards: int64
to
{'passed': Value('bool'), 'parents': Value('int64'), 'crops': Value('int64'), 'all_shard_payloads_checked': Value('bool'), 'all_target_geometry_and_quality_checked': Value('bool'), 'shards': Value('int64'), 'upload_bytes': Value('int64')}
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.
Glyph scaling transfer — exact-image deduplication
Upload in progress for scaling training on another cluster.
Current release
- Input:1,713,825 historical native-quality AnyText candidate records.
- Output:1,459,580 unique images;254,245 duplicate image copies removed.
- Grouping:SHA256 of complete decoded512×512 RGB images. No center-crop/pHash/near-duplicate grouping.
- Per latest user instruction,no additional test-overlap or private-heldout exclusion is applied. Historical1,376,652 cluster-selection count is NOT this release's size.
- Different full annotations/captions for the same image are preserved as
variants;originalsourceUIDs remain inaliases. These are annotation variants,not additional images. Sample by parent image and handle variants explicitly. - Image bytes are unchanged. No resizing,recompression,reboxing,rewritten OCR labels or invented captions.
Files
anytext_unique/shards/*.tar: image bytes and pairedJSON. JSON contains imageSHA256,RGBSHA256,full annotation variants,caption,validity flags andsourceUID aliases.
anytext_unique/preparation.json: verified unique image/variant/input-record counts.
anytext_unique/shard_index.json: SHA256 and counts for everyuploaded shard. Wait for complete:true before using the fullrelease.
transfer/restore_unique.py: restore a downloaded snapshot to images/ and parents.jsonl,without dropping variants. The data records use portable relative filenames. Old transfer/restore.py targets a superseded export plan and must not be used for thisrelease.
Any old100K/R/Q/D selections are subsets of these images,not extra corpora. Cross-source overlaps should remove augmentation entries while preservingAnyText. Source-specific terms remain applicable;this collection does not replace original licenses.
Augmentation
The previous two-pass augmentation pool contains71,882 net-new parents across10sources. It is not a fully corrected release:the audit found missing clarity/ignore-overlap checks,and the corrected version currently has60preview parents/83crops. Augmentation upload remains separately pending;do not silently label the oldfullpool as corrected. Details are in transfer/inventory.json.
No model weights,optimizer states,raw archives or experimental generated images are uploaded. Existing training continues independently.
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