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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 1694, 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 1880, 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 |
|---|---|---|---|
[
"a",
"i",
"ẹ",
"e",
"hi",
"ọ",
"hẹ",
"ha",
"o",
"ia",
"gha",
"u",
"ahẹ",
"hia",
"be",
"gbe",
"hahẹ",
"he",
"nha",
"nhi",
"re",
"agha",
"mhi",
"si",
"va",
"iẹ",
"egbe",
"họ",
"mhẹ",
"ghi",
"nọ",
"inhi",
"ti",
"hiẹ",
"mha",
"ma",
"nhẹ",
"bọ",
... | [
"nh",
"kh",
"gh",
"im",
"ik",
"kp",
"ọnh",
"omh",
"fi",
"ny",
"it",
"om",
"ij",
"ir",
"gb",
"mh",
"wh",
"ọm",
"ọnhọ",
"re",
"ig",
"yh",
"nhọ",
"il",
"ak",
"ọk",
"ikp",
"imh",
"is",
"ag",
"ru",
"el",
"agb",
"omhi",
"vb",
"khu",
"id",
"sa",
"... | 3,309 | [
"isẹzọ",
"oti",
"itamhughele",
"idaniẹli",
"zhamhẹ",
"ghob",
"iram",
"inhẹ",
"ijoko",
"ihẹrapolisi",
"wiaku",
"avọẹ",
"ẹẹnw",
"ghona",
"dada",
"whia",
"itẹtiusi",
"khooudo",
"imuegbe",
"khanhakọ",
"atiọki",
"emọhi",
"ipam",
"aasa",
"zaghahẹgha",
"yhọ",
"nuhu",
"... |
[
"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) |
["ɛ","ʋ","ɩ","nɩ","nί","ε","a","ί","u","i","ní","ɔ","e","mʋ","n","í","ni","ɛnɛ","ʋɛ",(...TRUNCATED) | ["nʋ","nɩ","nɔ","ni","fʋ","fɩ","na","ne","nu","mʋ","fɔ","yɔ","rʋ","fi","mɩ","no","rɩ","n(...TRUNCATED) | 9,864 | ["nɩyɩyɩn","nɩkpran","ʋkʋan","yɔkpʋmʋ","fidelilet","mʋgʋgɔfʋ","ɩlɩmʋ","akilas","nέd(...TRUNCATED) |
["a","ɔ","ɛ","ga","m","g","l","ra","am","b","ma","ng","i","e","n","na","nɔ","gɔ","ba","lɔ","gɛ(...TRUNCATED) | ["ak","at","ab","ay","ar","ɛk","li","nt","nk","akp","aj","as","an","al","ny","af","ɛb","ag","ba","(...TRUNCATED) | 2,289 | ["bɛtsayida","akpena","mfɔnɛ","ɔyem","tobe","ɛwɔ","ɔgb","akukun","pɔntus","ayab","aribi","af(...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) |
["an","n","a","o","i","on","y","en","t","h","ay","g","in","nan","na","at","ng","l","ang","tan","wa",(...TRUNCATED) | ["ma","na","pa","ampa","am","ka","pan","man","amp","nan","mang","in","angka","pina","ampan","mak","p(...TRUNCATED) | 8,558 | ["kabekahan","nakihabi","pagkalamo","ampaytongtong","ampanipon","dinih","ladak","bawon","pahinga","b(...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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