metadata

license: apache-2.0
task_categories:
  - text-generation
tags:
  - legal
size_categories:
  - 10M<n<100M

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:

id: A unique identifier for each text entry
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:

Loading the Swahili subset of the AfriBERTa Corpus
Concatenating the training and test splits
Shuffling the combined dataset
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]