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Datasets:
ortofasfat
/
AAAI_Swahili_dataset

Tasks:
Question Answering
Text Generation
Languages:
Swahili
English
Size Categories:
10K<n<100K
License:
Dataset card Files Community
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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 6 fields in line 3, saw 21

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py", line 133, 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 2215, 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 1239, 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 1388, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, 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 194, 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 6 fields in line 3, saw 21

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README for Swahili Translated Dataset from Toloka

Dataset Description

This dataset is a Dolly 15k translated from English to Swahili, filtered and processed using the Toloka platform. It includes various contexts, responses, and instructions from diverse domains, providing a rich resource for natural language processing tasks, particularly for those focusing on the Swahili language.

Data Fields

  • task_id: A unique identifier for each task in the dataset.
  • INPUT:context_tr: The context of the task translated into Swahili.
  • INPUT:context_src: The original context of the task in English.
  • INPUT:response_tr: The response or answer to the task, translated into Swahili.
  • INPUT:response_src: The original response or answer to the task in English.
  • INPUT:instruction_tr: The instruction for the task, translated into Swahili.
  • INPUT:instruction_src: The original instruction for the task in English.
  • toloka probabilities: Probabilities indicating the confidence or quality score associated with each task, as evaluated on the Toloka platform.

Data Format

The dataset is provided in CSV format.

Dataset Creation

Curation Rationale

This dataset was curated to enhance the resources available for Swahili natural language processing. It aims to provide a robust set of data for translation tasks, question-answering systems, and other language modeling tasks in Swahili.

Source Data

Initial Data Collection and Normalization

The initial data collection was taken from Dolly-15K

Dataset Curators

This dataset was curated by Nazar Beknazarov, leveraging the Toloka platform for translation and filtering.

Citation Information

Please include citation information here, if available.

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