Dataset Viewer
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
positions: struct<00066c9ef98aca42: struct<fen: string, moves: list<item: struct<black: int64, cohorts: list<it (... 3752438 chars omitted)
child 0, 00066c9ef98aca42: struct<fen: string, moves: list<item: struct<black: int64, cohorts: list<item: struct<black: int64, (... 132 chars omitted)
child 0, fen: string
child 1, moves: list<item: struct<black: int64, cohorts: list<item: struct<black: int64, count: int64, draws: int64, (... 85 chars omitted)
child 0, item: struct<black: int64, cohorts: list<item: struct<black: int64, count: int64, draws: int64, white: int (... 73 chars omitted)
child 0, black: int64
child 1, cohorts: list<item: struct<black: int64, count: int64, draws: int64, white: int64>>
child 0, item: struct<black: int64, count: int64, draws: int64, white: int64>
child 0, black: int64
child 1, count: int64
child 2, draws: int64
child 3, white: int64
child 2, count: int64
child 3, draws: int64
child 4, san: string
child 5, uci: string
child 6, white: int64
child 2, sampleSize: int64
child 1, 0009a0336cac845d: struct<fen: string, moves: list<item: struct<black: int64, cohorts: list<item: struct<black: int64, (... 132 chars omitted)
child 0, fen: string
child 1, moves: list<item: struct<black: int64, cohorts: list<item: str
...
: timestamp[s]
child 10, eligibleGames: int64
child 11, license: string
child 12, maxBytes: int64
child 13, maxPly: int64
child 14, openingCatalog: string
child 15, ratedGames: string
child 16, ratedGamesIncluded: int64
child 17, ratedGamesSha256: string
child 18, retention: string
child 19, sampleOrdinalsSha256: string
child 20, sampling: struct<algorithm: string, ordinalStartsAt: int64, requestedGames: int64, seed: int64>
child 0, algorithm: string
child 1, ordinalStartsAt: int64
child 2, requestedGames: int64
child 3, seed: int64
child 21, deliveryCanonicalization: struct<algorithm: string, sourceSha256: string, compiler: struct<node: string, chessJs: string>, raw (... 192 chars omitted)
child 0, algorithm: string
child 1, sourceSha256: string
child 2, compiler: struct<node: string, chessJs: string>
child 0, node: string
child 1, chessJs: string
child 3, rawBookSha256: string
child 4, rawPositions: int64
child 5, correctedRawChecks: int64
child 6, correctedRawMates: int64
child 7, retainedPositions: int64
child 8, omittedForByteCap: int64
child 9, retainedSANCorrections: int64
child 10, counts: string
files: list<item: struct<path: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
schemaVersion: int64
to
{'schemaVersion': Value('int64'), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
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
positions: struct<00066c9ef98aca42: struct<fen: string, moves: list<item: struct<black: int64, cohorts: list<it (... 3752438 chars omitted)
child 0, 00066c9ef98aca42: struct<fen: string, moves: list<item: struct<black: int64, cohorts: list<item: struct<black: int64, (... 132 chars omitted)
child 0, fen: string
child 1, moves: list<item: struct<black: int64, cohorts: list<item: struct<black: int64, count: int64, draws: int64, (... 85 chars omitted)
child 0, item: struct<black: int64, cohorts: list<item: struct<black: int64, count: int64, draws: int64, white: int (... 73 chars omitted)
child 0, black: int64
child 1, cohorts: list<item: struct<black: int64, count: int64, draws: int64, white: int64>>
child 0, item: struct<black: int64, count: int64, draws: int64, white: int64>
child 0, black: int64
child 1, count: int64
child 2, draws: int64
child 3, white: int64
child 2, count: int64
child 3, draws: int64
child 4, san: string
child 5, uci: string
child 6, white: int64
child 2, sampleSize: int64
child 1, 0009a0336cac845d: struct<fen: string, moves: list<item: struct<black: int64, cohorts: list<item: struct<black: int64, (... 132 chars omitted)
child 0, fen: string
child 1, moves: list<item: struct<black: int64, cohorts: list<item: str
...
: timestamp[s]
child 10, eligibleGames: int64
child 11, license: string
child 12, maxBytes: int64
child 13, maxPly: int64
child 14, openingCatalog: string
child 15, ratedGames: string
child 16, ratedGamesIncluded: int64
child 17, ratedGamesSha256: string
child 18, retention: string
child 19, sampleOrdinalsSha256: string
child 20, sampling: struct<algorithm: string, ordinalStartsAt: int64, requestedGames: int64, seed: int64>
child 0, algorithm: string
child 1, ordinalStartsAt: int64
child 2, requestedGames: int64
child 3, seed: int64
child 21, deliveryCanonicalization: struct<algorithm: string, sourceSha256: string, compiler: struct<node: string, chessJs: string>, raw (... 192 chars omitted)
child 0, algorithm: string
child 1, sourceSha256: string
child 2, compiler: struct<node: string, chessJs: string>
child 0, node: string
child 1, chessJs: string
child 3, rawBookSha256: string
child 4, rawPositions: int64
child 5, correctedRawChecks: int64
child 6, correctedRawMates: int64
child 7, retainedPositions: int64
child 8, omittedForByteCap: int64
child 9, retainedSANCorrections: int64
child 10, counts: string
files: list<item: struct<path: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
schemaVersion: int64
to
{'schemaVersion': Value('int64'), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
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.
ChessUmi public opening data
Public aggregate opening books, publisher-pinned packs and engine evidence from the ChessUmi Openings release. See opening-book/source-manifest.json, pack manifests and opening-data-2026-09.md for source licenses, pinned inputs and generation methodology. Only aggregate public data is included; no user games, accounts, private training data or private models. Original file bytes and logical paths are retained for publisher checksum trust.
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