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Datasets:
Adeptschneider
/
CiviVox-Swahili-text-corpus

Tasks:
Text Generation
Size:
10M<n<100M
Tags:
legal
License:
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 578, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1885, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 597, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1392, 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 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, 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 1740, 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 1896, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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Swahili Text Dataset

Overview

This dataset contains a comprehensive collection of Swahili text data, derived from the AfriBERTa Corpus. It provides a rich resource for natural language processing tasks focused on the Swahili language.

Dataset Details

  • Source: AfriBERTa Corpus (Swahili subset)
  • Language: Swahili
  • Size: [Insert total number of samples here]
  • Format: Hugging Face Dataset

Content

The dataset consists of two main columns:

  1. id: A unique identifier for each text entry
  2. text: The Swahili text content

Usage

You can load this dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("[Your_HuggingFace_Username]/[Your_Dataset_Name]")

Replace [Your_HuggingFace_Username] and [Your_Dataset_Name] with the appropriate values for your uploaded dataset.

Data Fields

  • id: string
  • text: string

Data Splits

This dataset combines training and test splits from the original AfriBERTa Corpus. The data has been shuffled with a fixed seed (42) to ensure reproducibility.

Dataset Creation

This dataset was created by:

  1. Loading the Swahili subset of the AfriBERTa Corpus
  2. Concatenating the training and test splits
  3. Shuffling the combined dataset
  4. Extracting the 'id' and 'text' fields

Intended Uses

This dataset can be used for various natural language processing tasks involving the Swahili language, such as:

  • Language modeling
  • Text classification
  • Named entity recognition
  • Machine translation (as a source or target language)
  • Sentiment analysis
  • And more...

Limitations

  • The dataset is limited to the content available in the original AfriBERTa Corpus.
  • It may not represent all dialects or variations of the Swahili language.
  • The quality and accuracy of the text content depend on the original data source.

Citation

If you use this dataset, please cite the original AfriBERTa Corpus:

@inproceedings{ogueji-etal-2021-small,
    title = "Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages",
    author = "Ogueji, Kelechi  and
      Zhu, Yuxin  and
      Lin, Jimmy",
    booktitle = "Proceedings of the 1st Workshop on Multilingual Representation Learning",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.mrl-1.11",
    pages = "116--126",
}

Licensing Information

This dataset is derived from the AfriBERTa Corpus. For usage terms and conditions, please refer to the original dataset's license.

Contact

If you have questions or comments about this specific version of the dataset, please open an issue in this repository or contact [[email protected]].

Dataset created and curated by [AdeptSchneider]. Last updated: [09/10/2024]

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