The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 1 fields in line 80, saw 2

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py", line 132, in compute_first_rows_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2211, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1235, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1384, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1040, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 187, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1624, in __next__
                  return self.get_chunk()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1733, in get_chunk
                  return self.read(nrows=size)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1704, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 826, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 875, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 861, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2029, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 80, saw 2

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YAML Metadata Error: "license" must be one of [apache-2.0, mit, openrail, bigscience-openrail-m, creativeml-openrail-m, bigscience-bloom-rail-1.0, bigcode-openrail-m, afl-3.0, artistic-2.0, bsl-1.0, bsd, bsd-2-clause, bsd-3-clause, bsd-3-clause-clear, c-uda, cc, cc0-1.0, cc-by-2.0, cc-by-2.5, cc-by-3.0, cc-by-4.0, cc-by-sa-3.0, cc-by-sa-4.0, cc-by-nc-2.0, cc-by-nc-3.0, cc-by-nc-4.0, cc-by-nd-4.0, cc-by-nc-nd-3.0, cc-by-nc-nd-4.0, cc-by-nc-sa-2.0, cc-by-nc-sa-3.0, cc-by-nc-sa-4.0, cdla-sharing-1.0, cdla-permissive-1.0, cdla-permissive-2.0, wtfpl, ecl-2.0, epl-1.0, epl-2.0, etalab-2.0, eupl-1.1, agpl-3.0, gfdl, gpl, gpl-2.0, gpl-3.0, lgpl, lgpl-2.1, lgpl-3.0, isc, lppl-1.3c, ms-pl, mpl-2.0, odc-by, odbl, openrail++, osl-3.0, postgresql, ofl-1.1, ncsa, unlicense, zlib, pddl, lgpl-lr, deepfloyd-if-license, llama2, unknown, other, array]

licenses:

  • cc-by-2-0 multilinguality:
  • multilingual size_categories:
  • 10K<n<100K source_datasets:
  • original task_categories:
  • translation task_ids: [] paperswithcode_id: tatoeba pretty_name: Tatoeba

Dataset Card for Tatoeba

Dataset Summary

Tatoeba is a collection of sentences and translations. To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs. You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/Tatoeba.php E.g. dataset = load_dataset("tatoeba", lang1="en", lang2="he") The default date is v2021-07-22, but you can also change the date with dataset = load_dataset("tatoeba", lang1="en", lang2="he", date="v2020-11-09")

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

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Source Data

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Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

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Annotation process

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