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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
languages: struct<aai: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_t (... 98670 chars omitted)
child 0, aai: 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, aak: 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, aau: 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, aaz: 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, abc: 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
...
3, n_suffixes: int64
child 4, n_types: int64
child 919, ztp: 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 920, ztq: 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 921, zts: 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 922, zty: 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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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<aai: struct<content_sha256: string, n_prefixes: int64, n_stems: int64, n_suffixes: int64, n_t (... 98670 chars omitted)
child 0, aai: 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, aak: 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, aau: 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, aaz: 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, abc: 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
...
3, n_suffixes: int64
child 4, n_types: int64
child 919, ztp: 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 920, ztq: 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 921, zts: 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 922, zty: 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
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
suffixes list | prefixes list | n_types int64 | stems list |
|---|---|---|---|
[
"n",
"ih",
"h",
"i",
"r",
"a",
"u",
"t",
"mih",
"amaim",
"amih",
"in",
"en",
"an",
"maim",
"w",
"b",
"it",
"y",
"imih",
"uw",
"ar",
"m",
"iy",
"ir",
"ah",
"yan",
"e",
"ra",
"ne",
"rih",
"namih",
"aim",
"ane",
"wih",
"un",
"nih",
"ayan",
"uw... | [
"hi",
"kwa",
"na",
"ta",
"kw",
"hin",
"kwan",
"in",
"hina",
"an",
"kwana",
"ina",
"ku",
"tan",
"ba",
"hit",
"hib",
"te",
"ana",
"bai",
"ni",
"eb",
"ab",
"ti",
"tana",
"bi",
"nab",
"kwani",
"hita",
"ebi",
"hini",
"kwab",
"at",
"ka",
"hibi",
"it",
... | 10,229 | [
"nibibabatun",
"kwaneya",
"taras",
"sese",
"tanabata",
"himamataren",
"tebiyafar",
"natabiri",
"hiorereb",
"masawa",
"ataba",
"roumutufuren",
"abobosemor",
"sawusawuwih",
"ya",
"inaka",
"kwiyoun",
"baisesebar",
"kubobobe",
"ukwa",
"ruburubu",
"namamaririb",
"hosea",
"ta... |
["ɨ","rɨnɨ","nɨ","o","ɨnɨ","á","rɨ","yɨ","a","pɨ","mɨ","ɨrɨ","ɨrɨnɨ","árɨnɨ","ro"(...TRUNCATED) | ["nɨ","wi","sea","rɨ","mɨ","nea","ne","se","ur","ni","imón","me","ya","imó","seai","wɨ","im","(...TRUNCATED) | 22,176 | ["niaíwen","tɨgɨíwa","yipɨrɨár","wɨnowárɨwanigɨnɨ","ŋwɨápɨ","wépámɨ","eánɨŋor(...TRUNCATED) |
["n","r","a","k","e","y","ay","w","on","s","i","aw","an","o","p","h","ok","uw","iy","ow","yay","or",(...TRUNCATED) | ["sa","lo","so","swa","ma","ok","no","na","ka","lok","on","ko","ho","lon","po","la","li","me","ey","(...TRUNCATED) | 2,423 | ["kanda","lwos","leysay","huono","loparoway","wouknowsi","hesekia","wowr","pukyay","kriykriy","poh",(...TRUNCATED) |
["n","ꞌ","k","t","in","an","s","i","aꞌ","un","f","u","e","r","en","b","m","o","a","on","iꞌ","e(...TRUNCATED) | ["na","an","am","mi","ma","mu","aꞌ","ta","naꞌ","at","nm","anm","nt","nma","anma","ns","ant","nat(...TRUNCATED) | 9,043 | ["mitoꞌ","purtik","anro","kahuꞌ","ꞌromi","feꞌen","korasin","uꞌa","harinet","efrata","namre(...TRUNCATED) |
["n","aꞌ","an","y","a","un","naꞌ","ay","u","g","ng","anaꞌ","i","in","ꞌ","uy","t","aku","ga(...TRUNCATED) | ["ma","na","pa","ka","nag","mag","nan","in","pag","ba","maka","man","impa","ta","ha","naka","mak","p(...TRUNCATED) | 3,440 | ["nagp","ukasyun","nêdên","pabang","malêng","makah","grupun","liyaki","palatêng","dumahuy","naka(...TRUNCATED) |
["om","a","i","m","an","n","gh","e","h","l","iom","naan","r","ghi","am","ogh","o","ph","u","aan","hi(...TRUNCATED) | ["rꞌ","rꞌa","ka","kạ","mꞌ","ko","ro","ke","ra","kọ","kẹ","rạ","rọ","re","ma","kꞌ",(...TRUNCATED) | 24,124 | ["mamune","ekoo","ụkaanaan","mạatarion","ọonha","kodoghom","ẹleke","rꞌiizin","mewunaan","k(...TRUNCATED) |
["a","n","én","e","u","wa","ka","kwa","ngé","na","mba","nngé","ké","é","k","we","éka","ékwa",(...TRUNCATED) | ["ya","wa","vé","yaa","kwa","ka","véku","waa","yé","té","ra","na","ta","kwayé","yaré","yaté",(...TRUNCATED) | 7,642 | ["taakan","wamba","kétaa","kusndarén","yandar","yaanénngé","takawut","kiyaaménu","kwayéndékw"(...TRUNCATED) |
["a","u","an","o","n","i","on","y","ay","g","t","ra","un","ya","s","wa","aw","han","tu","li","at","n(...TRUNCATED) | ["ag","pa","pag","ma","agpa","agp","mag","nag","magp","magpa","na","pagp","pagpa","sa","aka","nagpa"(...TRUNCATED) | 10,389 | ["padu","makatungtong","sunsari","aghumug","pagpagapos","magsan","sapala","agtugot","manmuklat","sas(...TRUNCATED) |
["a","ro","ke","e","ma","i","ie","ake","o","u","ba","aro","ini","iro","nu","roma","ne","oma","ya","i(...TRUNCATED) | ["we","ma","da","si","ya","uk","ib","od","an","na","im","imu","ur","mu","fa","uke","nau","ko","is","(...TRUNCATED) | 10,050 | ["amaemuku","enuduruini","mayakaw","emiane","ukakukema","faridasini","disikasi","moinak","yanakewere(...TRUNCATED) |
["a","h","e","t","an","k","n","i","ng","oe","ah","o","nyan","m","b","u","at","oh","ang","et","ot","o(...TRUNCATED) | ["ji","geu","meu","teu","ge","te","ta","me","keu","pe","peu","ne","neu","jip","jipeu","ke","jipe","g(...TRUNCATED) | 16,138 | ["purée","keumeusyeuhu","seso","peuneng","beuj","tasöm","keucurangan","kuli","jitundok","jimeuceu"(...TRUNCATED) |
End of preview.
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.
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