Datasets:

LamkaLabs
/

paite-open-language-data

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
direction: string
english: string
paite: string
register: string
contributor: string
verified_by: string
verified_at: timestamp[s]
licence: string
also_correct: list<item: string>
  child 0, item: string
explanation: string
original_english: string
to
{'id': Value('string'), 'direction': Value('string'), 'english': Value('string'), 'paite': Value('string'), 'register': Value('string'), 'contributor': Value('string'), 'verified_by': Value('string'), 'verified_at': Value('timestamp[s]'), 'licence': Value('string'), 'also_correct': List(Value('string')), 'explanation': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              direction: string
              english: string
              paite: string
              register: string
              contributor: string
              verified_by: string
              verified_at: timestamp[s]
              licence: string
              also_correct: list<item: string>
                child 0, item: string
              explanation: string
              original_english: string
              to
              {'id': Value('string'), 'direction': Value('string'), 'english': Value('string'), 'paite': Value('string'), 'register': Value('string'), 'contributor': Value('string'), 'verified_by': Value('string'), 'verified_at': Value('timestamp[s]'), 'licence': Value('string'), 'also_correct': List(Value('string')), 'explanation': Value('string')}
              because column names don't match

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Paite Open Language Data

Training data for Paite (ISO 639-3: pck), a Zomi language of Manipur and Mizoram (India), Myanmar, and Bangladesh. This is the target language: modern Paite, not the Tedim (Tedim-Chin) style of older Bible text.

Source data, scripts, and documentation: https://github.com/khooptong-sudo/paite-open-language-data

Configurations

Config	Rows	One row
`parallel`	54,146	`id`, `paite`, `english`, `source`, `split`
`monolingual`	31,677	`id`, `text`, `source`, `split`
`grammar`	added here once it has rows; see `training/grammar.jsonl` on GitHub	`id`, `incorrect`, `correct`, `register`, `notes`, `split`
`community`	grows weekly	`id`, `direction`, `english`, `paite`, `register`, `contributor`, `verified_by`, `verified_at`, `also_correct`, `explanation`: every pair verified on Paite Daily, a reviewer's correction standing over the submission
`everyday_eval`	16	`id`, `paite` (accepted answers), `english` (accepted answers)

Each training row has a fixed split (train, dev, test; about 90/5/5). Whole Bible chapters stay in one split. Every everyday_eval sentence is in the test split, so a model is never trained on the benchmark.

from datasets import load_dataset

pairs = load_dataset("LamkaLabs/paite-open-language-data", "parallel")["train"]
train = pairs.filter(lambda r: r["split"] == "train")

Sources and rights

Part	Source	Rights
Paite Bible	Laisiangthou app by John Samte	Used with permission; credit John Samte
English Bible	World English Bible	Public domain
Corrections, verified sentences, benchmark	Native-speaker contributors	CC BY 4.0
Dictionary, hymns	Third-party Android apps	Not licensed by this dataset; research use

Full terms: LICENSE.

Benchmark

How well do AI models know everyday Paite? See eval/RESULTS.md.

Contribute

Native speakers: send a correction with the Paite Correction form. No account is needed.

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