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
languages: struct<arb: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_t (... 1406 chars omitted)
child 0, arb: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 1, arbn: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 2, asm: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 3, ben: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 4, eng: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suf
...
ild 3, n_suffixes: int64
child 4, n_types: int64
child 10, rus: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 11, spa: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 12, swe: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 13, swk: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
schema: struct<prefixes: string, stems: string, suffixes: string>
child 0, prefixes: string
child 1, stems: string
child 2, suffixes: string
n_types: int64
stems: list<item: string>
child 0, item: string
suffixes: list<item: string>
child 0, item: string
prefixes: list<item: string>
child 0, item: string
to
{'suffixes': List(Value('string')), 'prefixes': List(Value('string')), 'n_types': Value('int64'), 'stems': List(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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
languages: struct<arb: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_t (... 1406 chars omitted)
child 0, arb: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 1, arbn: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 2, asm: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 3, ben: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 4, eng: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suf
...
ild 3, n_suffixes: int64
child 4, n_types: int64
child 10, rus: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 11, spa: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 12, swe: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
child 13, swk: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_types: int64>
child 0, content_sha256: string
child 1, n_prefixes: int64
child 2, n_stems: int64
child 3, n_suffixes: int64
child 4, n_types: int64
schema: struct<prefixes: string, stems: string, suffixes: string>
child 0, prefixes: string
child 1, stems: string
child 2, suffixes: string
n_types: int64
stems: list<item: string>
child 0, item: string
suffixes: list<item: string>
child 0, item: string
prefixes: list<item: string>
child 0, item: string
to
{'suffixes': List(Value('string')), 'prefixes': List(Value('string')), 'n_types': Value('int64'), 'stems': List(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.
target-morphology
Per-language unsupervised morphology models — productive suffixes, prefixes, and a stem lexicon, each learned MDL-free ("Linguistica"-style: a suffix is productive if it attaches to many paradigm stems) from that language's own Bible text. No labels, no pretrained model, no download — so it runs on any language with a translation, including those with zero LLM/encoder coverage.
stem(word) strips one productive affix when the remainder is a known stem; inflected variants collapse to
a shared stem (e.g. Hindi बोला/बोलता → बोल). Built for the lexeme-aligner (it fills gloss's normalizer and
optionally stems eflomal's input), but published standalone because unsupervised segmentation is reusable.
CC0-1.0 — models are derived statistics (affix inventories + stem lists), no source text redistributed.
See manifest.json for per-language stats + content hashes.
- Downloads last month
- 14