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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
bg: string
en: string
sco: double
-- schema metadata --
huggingface: '{"info": {"features": {"bg": {"dtype": "string", "_type": "' + 102
to
{'bn': Value(dtype='string', id=None), 'en': Value(dtype='string', id=None), 'sco': Value(dtype='float64', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1879, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              bg: string
              en: string
              sco: double
              -- schema metadata --
              huggingface: '{"info": {"features": {"bg": {"dtype": "string", "_type": "' + 102
              to
              {'bn': Value(dtype='string', id=None), 'en': Value(dtype='string', id=None), 'sco': Value(dtype='float64', id=None)}
              because column names don't match

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quickmt bn-en Training Corpus

Contains the following datasets downloaded with mtdata after deduplication and basic filtering with quickmt:

  • OPUS-ccaligned-v1-ben-eng
  • OPUS-ccmatrix-v1-ben-eng
  • OPUS-nllb-v1-ben-eng
  • OPUS-wikimatrix-v1-ben-eng
  • Statmt-pmindia-1-eng-ben
  • JoshuaDec-indian_training-1-ben-eng
  • JoshuaDec-indian_dev-1-ben-eng
  • JoshuaDec-indian_test-1-ben-eng
  • JoshuaDec-indian_devtest-1-ben-eng
  • JoshuaDec-indian_dict-1-ben-eng
  • Neulab-tedtalks_train-1-eng-ben
  • Neulab-tedtalks_test-1-eng-ben
  • Neulab-tedtalks_dev-1-eng-ben
  • ELRC-wikipedia_health-1-ben-eng
  • ELRC-hrw_dataset_v1-1-eng-ben
  • AI4Bharath-samananthar-0.2-eng-ben
  • AI4Bharath-wat_dev-2020-eng-ben
  • AI4Bharath-wat_dev-2021-ben-eng
  • AI4Bharath-wat_test-2020-eng-ben
  • AI4Bharath-wat_test-2021-ben-eng
  • Anuvaad-ik_2021-v1-eng-ben
  • Anuvaad-internal_judicial_2021-v1-eng-ben
  • Anuvaad-pib_2017-2020-eng-ben
  • Anuvaad-pibarchives_2015-2016-eng-ben
  • Anuvaad-prothomalo_2014-2020-eng-ben
  • Anuvaad-dwnews_2004-2020-eng-ben
  • Anuvaad-oneindia-20210320-eng-ben
  • Anuvaad-mk-20210320-eng-ben
  • Anuvaad-ie_sports-20210320-eng-ben
  • Anuvaad-ie_tech-20210320-eng-ben
  • Anuvaad-ie_news-20210320-eng-ben
  • Anuvaad-ie_general-20210320-eng-ben
  • Anuvaad-ie_entertainment-20210320-eng-ben
  • Anuvaad-ie_education-20210320-eng-ben
  • Anuvaad-ie_business-20210320-eng-ben
  • Anuvaad-ie_lifestyle-20210320-eng-ben
  • Anuvaad-asianetnews-20210320-eng-ben
  • Anuvaad-sentinel-20210320-eng-ben
  • Anuvaad-toi-20210320-eng-ben
  • Anuvaad-zee-30042021-eng-ben
  • Anuvaad-anuvaad_general-corpus-eng-ben
  • OPUS-anuvaad-v1-ben-eng
  • OPUS-elrc_3055_wikipedia_health-v1-ben-eng
  • OPUS-elrc_wikipedia_health-v1-ben-eng
  • OPUS-elrc_2922-v1-ben-eng
  • OPUS-gnome-v1-ben-eng
  • OPUS-globalvoices-v2015-ben-eng
  • OPUS-globalvoices-v2017q3-ben-eng
  • OPUS-globalvoices-v2018q4-ben-eng
  • OPUS-hplt-v2-ben-eng
  • OPUS-joshua_ipc-v1-ben-eng
  • OPUS-kde4-v2-ben-eng
  • OPUS-multihplt-v2-ben-eng
  • OPUS-neulab_tedtalks-v1-ben-eng
  • OPUS-opensubtitles-v2016-ben-eng
  • OPUS-opensubtitles-v2018-ben-eng
  • OPUS-opensubtitles-v2024-ben-eng
  • OPUS-qed-v2.0a-ben-eng
  • OPUS-samanantar-v0.2-eng-ben
  • OPUS-ted2020-v1-ben-eng
  • OPUS-tanzil-v1-ben-eng
  • OPUS-tatoeba-v2-ben-eng
  • OPUS-tatoeba-v20190709-ben-eng
  • OPUS-tatoeba-v20200531-ben-eng
  • OPUS-tatoeba-v20201109-ben-eng
  • OPUS-tatoeba-v20210310-ben-eng
  • OPUS-tatoeba-v20210722-ben-eng
  • OPUS-tatoeba-v20220303-ben-eng
  • OPUS-tatoeba-v20230412-ben-eng
  • OPUS-ubuntu-v14.10-ben-eng
  • OPUS-xlent-v1.2-ben-eng
  • OPUS-pmindia-v1-ben-eng
  • OPUS-tico_19-v20201028-ben-eng
  • OPUS-tldr_pages-v20230829-ben-eng
  • OPUS-wikimedia-v20210402-ben-eng
  • OPUS-wikimedia-v20230407-ben-eng
  • Google-wmt24pp-1-eng-ben_IN
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Models trained or fine-tuned on quickmt/quickmt-train.bn-en