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kokborok

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'factuality', 'srcs', 'id', 'is_src_orig'}) and 2 missing columns ({'src', 'is_source_orig'}).

This happened while the json dataset builder was generating data using

hf://datasets/sdmy/kokborok/smoldoc__en_trp.json (at revision 2f1be2340709002a8696762b6aba0d74e8b65f34)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              sl: string
              tl: string
              srcs: list<item: string>
                child 0, item: string
              trgs: list<item: string>
                child 0, item: string
              factuality: string
              is_src_orig: bool
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 897
              to
              {'src': Value(dtype='string', id=None), 'trgs': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'sl': Value(dtype='string', id=None), 'tl': Value(dtype='string', id=None), 'is_source_orig': Value(dtype='bool', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'factuality', 'srcs', 'id', 'is_src_orig'}) and 2 missing columns ({'src', 'is_source_orig'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/sdmy/kokborok/smoldoc__en_trp.json (at revision 2f1be2340709002a8696762b6aba0d74e8b65f34)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

src
string
trgs
sequence
sl
string
tl
string
is_source_orig
bool
a
[ "kaisa", "masa", "Khoroksa" ]
en
trp
true
a little
[ "kisasa" ]
en
trp
true
a lot
[ "kwbangma" ]
en
trp
true
a lot of
[ "kwbangma" ]
en
trp
true
abandon
[ "yakarwi thangmani" ]
en
trp
true
abandoned
[ "khibi kwlangjak" ]
en
trp
true
abide
[ "kok khwnai tongmani" ]
en
trp
true
ability
[ "chukmung" ]
en
trp
true
able
[ "chukjak" ]
en
trp
true
about
[ "no twiwi" ]
en
trp
true
above
[ "sakao" ]
en
trp
true
abroad
[ "phatar hathai" ]
en
trp
true
absence
[ "manjagwiya", "kwrwi wngmani" ]
en
trp
true
absent
[ "manjakphaiya", "kwrwi" ]
en
trp
true
absolutely
[ "Ahaino" ]
en
trp
true
absorb
[ "kusupma" ]
en
trp
true
abstract
[ "uansukmung ni", "kókbwkrai" ]
en
trp
true
absurd
[ "mwnwikothok" ]
en
trp
true
abundance
[ "bangmung" ]
en
trp
true
abundant
[ "nangmani saibo bkwbang" ]
en
trp
true
abuse
[ "satokmung" ]
en
trp
true
accent
[ "kóksamung" ]
en
trp
true
accept
[ "gosimani" ]
en
trp
true
access
[ "hablam" ]
en
trp
true
accident
[ "lahar patimung" ]
en
trp
true
accommodation
[ "tongjaknai thiti khlaimani", "tongthai" ]
en
trp
true
accomplish
[ "mungsaswk khlaimanmung" ]
en
trp
true
accomplished
[ "suargnang", "kwrwng" ]
en
trp
true
according
[ "samatwi" ]
en
trp
true
account
[ "lekhama" ]
en
trp
true
accuracy
[ "kwkwrwk" ]
en
trp
true
accurate
[ "kosol" ]
en
trp
true
accused
[ "majra berjak" ]
en
trp
true
ache
[ "samani" ]
en
trp
true
achieve
[ "manmung" ]
en
trp
true
achievement
[ "manmung" ]
en
trp
true
acknowledge
[ "gosimung rwmani" ]
en
trp
true
acquaintance
[ "sinilaimani" ]
en
trp
true
acquire
[ "manmani" ]
en
trp
true
acquired
[ "manjak" ]
en
trp
true
acquisition
[ "paijak manwi" ]
en
trp
true
across
[ "gwnangwi" ]
en
trp
true
act
[ "toke mwsamani", "phunuksama", "wngtrwngma" ]
en
trp
true
action
[ "tangmung" ]
en
trp
true
active
[ "kwsrang" ]
en
trp
true
activities
[ "samung bwtangrok" ]
en
trp
true
activity
[ "samung khlaimanirok" ]
en
trp
true
actor
[ "toke mwsanaisa" ]
en
trp
true
actual
[ "kubuio" ]
en
trp
true
actually
[ "kubui sana thangkhe" ]
en
trp
true
acute
[ "belaikheno" ]
en
trp
true
adapt
[ "gwdalwi namani" ]
en
trp
true
add
[ "thepamani" ]
en
trp
true
addicted
[ "loi yakarmaya wngmani" ]
en
trp
true
addition
[ "kwtharwmani" ]
en
trp
true
additional
[ "teibo" ]
en
trp
true
address
[ "nikuma" ]
en
trp
true
adequate
[ "kulokmani", "nangmaswk" ]
en
trp
true
adjacent
[ "nanglaijak" ]
en
trp
true
adjective
[ "adjective" ]
en
trp
true
adjust
[ "jora bai gwdalwi tongma" ]
en
trp
true
admire
[ "naithokjakmani", "bórom rwma" ]
en
trp
true
admit
[ "damani", "gosima", "haprwma" ]
en
trp
true
adopt
[ "dottok naharmani", "samung thepama" ]
en
trp
true
adorable
[ "maya mannani chukjak" ]
en
trp
true
advance
[ "swkang bariya" ]
en
trp
true
advanced
[ "swkangjak" ]
en
trp
true
advantage
[ "sep kaham" ]
en
trp
true
adventure
[ "adventure" ]
en
trp
true
adverb
[ "Samungni dal" ]
en
trp
true
advertisement
[ "awaimung" ]
en
trp
true
advertising
[ "awai khlaimung" ]
en
trp
true
advice
[ "kókbiti" ]
en
trp
true
advise
[ "kokbiti rwma" ]
en
trp
true
advocate
[ "advocate" ]
en
trp
true
aesthetic
[ "naithothok" ]
en
trp
true
affair
[ "patimung" ]
en
trp
true
affect
[ "mari kwlaimani" ]
en
trp
true
affection
[ "maya" ]
en
trp
true
afford
[ "paimanma" ]
en
trp
true
affordable
[ "pai manmani" ]
en
trp
true
afraid
[ "kirijak" ]
en
trp
true
after
[ "ulo" ]
en
trp
true
afternoon
[ "dipor" ]
en
trp
true
afterwards
[ "yagulo" ]
en
trp
true
again
[ "teisa" ]
en
trp
true
against
[ "kebengwi" ]
en
trp
true
age
[ "umor" ]
en
trp
true
agency
[ "bodol" ]
en
trp
true
agent
[ "agent" ]
en
trp
true
aggressive
[ "jolikwrak" ]
en
trp
true
agile
[ "Kwsrang" ]
en
trp
true
ago
[ "swkango" ]
en
trp
true
agree
[ "gosimani" ]
en
trp
true
agreement
[ "gosimung bwlai" ]
en
trp
true
agriculture
[ "hukbar" ]
en
trp
true
ahead
[ "bwskango" ]
en
trp
true
aid
[ "chubachu" ]
en
trp
true
aim
[ "naharmung" ]
en
trp
true
air
[ "nobar" ]
en
trp
true
End of preview.
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Kokborok Digitalisation Project

The Kokborok Digitalisation Project is an initiative to curate and enhance parallel data for the Kokborok-English language pair. This project builds upon the SMOL dataset by Google, available on Hugging Face, and involves modifying and correcting it to better reflect the nuances of the local Kokborok dialect.

From the Author

"Language is a living, breathing entity—constantly evolving, shaping cultures, and connecting generations. When we digitally preserve and document it, we don’t just safeguard words; we ignite progress, making knowledge more accessible and enriching for all."

— Dr. Sudhamoy Debbarma

Overview

  • Objective: To collect, modify, and enhance data from various sources to create a high-quality, parallel dataset for the Kokborok-English language pair.
  • Dataset Origin: The dataset is derived from the SMOL dataset, which provides professionally translated data for 115 under-represented languages. This project adapts that dataset to serve the needs of the Kokborok-speaking community.

Dataset

  • The dataset consists of parallel translations in Kokborok-English.
  • It is a curated and improved version of the SMOL dataset.
  • Data corrections are based on local linguistic expertise and dialectal accuracy.

Usage

  • The dataset can be used for machine translation, linguistic research, and language preservation efforts.
  • Specific instructions on how to access or download the dataset will be added soon.

Contributing

Contributions are welcome! If you wish to contribute corrections or additional data, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgements

We thank the authors of the SMOL dataset and the related research work, whose contributions have significantly influenced this project. Special thanks to all contributors supporting under-represented languages and dialects.

Citation

If you use this work or any of its components in your research, please cite the following references:

@misc{caswell2025smol,
      title={SMOL: Professionally translated parallel data for 115 under-represented languages}, 
      author={Isaac Caswell and Elizabeth Nielsen and Jiaming Luo and Colin Cherry and Geza Kovacs and Hadar Shemtov and Partha Talukdar and Dinesh Tewari and Baba Mamadi Diane and Koulako Moussa Doumbouya and Djibrila Diane and Solo Farabado Cissé},
      year={2025},
      eprint={2502.12301},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.12301}, 
}

@misc{jones2023gatitos,
      title={Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation}, 
      author={Alex Jones and Isaac Caswell and Ishank Saxena and Orhan Firat},
      year={2023},
      eprint={2303.15265},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2303.15265}, 
}

TODO

  • Gather phonetic data
  • Text to speech model
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