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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
passed: bool
bundles: int64
members: int64
bytes: int64
catalog_integrity: string
catalog_statuses_match: bool
templates: int64
asset_errors: list<item: null>
  child 0, item: null
statuses: struct<ready: int64, missing_components: int64, render_error: int64>
  child 0, ready: int64
  child 1, missing_components: int64
  child 2, render_error: int64
decoded_previews: int64
dangling_dependencies: int64
missing_covers: list<item: null>
  child 0, item: null
decoded_frames: int64
to
{'templates': Value('int64'), 'statuses': {'ready': Value('int64'), 'missing_components': Value('int64'), 'render_error': Value('int64')}, 'decoded_previews': Value('int64'), 'decoded_frames': Value('int64'), 'asset_errors': List(Value('null')), 'missing_covers': List(Value('null')), 'catalog_integrity': Value('string'), 'catalog_statuses_match': Value('bool'), 'dangling_dependencies': Value('int64')}
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              passed: bool
              bundles: int64
              members: int64
              bytes: int64
              catalog_integrity: string
              catalog_statuses_match: bool
              templates: int64
              asset_errors: list<item: null>
                child 0, item: null
              statuses: struct<ready: int64, missing_components: int64, render_error: int64>
                child 0, ready: int64
                child 1, missing_components: int64
                child 2, render_error: int64
              decoded_previews: int64
              dangling_dependencies: int64
              missing_covers: list<item: null>
                child 0, item: null
              decoded_frames: int64
              to
              {'templates': Value('int64'), 'statuses': {'ready': Value('int64'), 'missing_components': Value('int64'), 'render_error': Value('int64')}, 'decoded_previews': Value('int64'), 'decoded_frames': Value('int64'), 'asset_errors': List(Value('null')), 'missing_covers': List(Value('null')), 'catalog_integrity': Value('string'), 'catalog_statuses_match': Value('bool'), 'dangling_dependencies': Value('int64')}
              because column names don't match

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AIO text templates

Fresh CapCut local database snapshot, 2026-10-20. 2,159 templates, 47 catalog categories, 68 template script sets. 2,104 downloadable templates have newly rendered transparent 256 x 256 previews with AIO Template; capture 512, 30 fps, playback 1.4x. Native layout correction revision 2.

Download catalog.db | Compressed catalog.db.gz | JSON catalog | Schema | Checksums | Unavailable items

Every complete template is one ZIP containing its scripts, fonts, effects, animations and stickers. No CapCut API lookup is required to download/install. ZIP bytes have SHA-256, MD5 and size fields. Preview/poster URLs and checksums support persistent disk caches; consumers should animate visible cards only. Assets are pinned to the commit recorded in meta.asset_revision.

Catalog schema 2: templates retains all 2,159 records; use available_templates (or downloadable=1) for the usable list. The 54 templates missing 46 upstream resources have no fake preview or downloadable bundle. One fully resourced template produces entirely transparent native frames and remains unavailable. Its complete bundle is retained for diagnosis only.

Install a template with Python 3 (standard library only):

python download_template.py TEMPLATE_ID --catalog catalog.db --output ./cache

The installer verifies the bundle hash, extracts safely, and converts portable path tokens in manifest-listed text files into the installation directory. Raw extraction alone is insufficient. Dependencies use dependencies/ID/MD5; depends points to the actual font file or resource directory. Bundle sources retain authored text. To produce AIO Template previews, the Lab warms the original layout four times at the authored poster time, then applies a native rich-text select-all edit, retaining authored line breaks and secondary text fields.

These are CapCut native reference renders, not a standalone template SDK. Older scene-loader templates have explicit widget ABI adapters. Eight available legacy-schema templates use a projection whose char_bgs and animation/layout parity are not established. A successful render is not a pixel-parity assertion. See classification and diagnostics. Original downloads remain unchanged in Lab; portable bundles are derived assets and have separate checksums. Native DLLs, private database snapshots, signed URLs and machine-specific paths are excluded.

This replaces the old remote catalog; AIO integration must support schema 2 and the portable installation contract. This publication does not change the AIO application or certify its runtime/export behavior for every template.

catalog_manifest.json is a small version/checksum document. The installer reuses a matching cached SQLite file and otherwise downloads the lossless compressed catalog. Unchanged catalogs and ZIPs are reused.

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