metadata

license: apache-2.0

Dataset Card for Low-Resource-Language-Dataset

This dataset is designed to aid Natural Language Processing (NLP) research on low-resource languages, particularly Urdu. It includes structured datasets and preprocessing tools curated from the BBC Urdu website.

Dataset Details

Dataset Description

This dataset contains articles, summaries, and topics scraped from BBC Urdu. It is structured into training and testing datasets for machine learning applications. The data is preprocessed and tokenized to support text summarization and other NLP tasks.

Curated by: Subayyal Sheikh and contributors.
Language(s): Urdu.
License: Apache 2.0 License.

Dataset Sources

Repository: GitHub Repository
Paper: Breaking Language Barriers: Dataset Development for Low Resource Language
Demo: None (optional if available)

Uses

Direct Use

The dataset is ideal for:

Text summarization
Language modeling
Topic classification

Out-of-Scope Use

This dataset may not be suitable for tasks outside of Urdu language processing. Users are advised against malicious or inappropriate use of the data.

Dataset Structure

The dataset is structured as follows:

JSONL Files:
- Articles, Topics, and Summaries (raw and processed).
- Training and test splits (Articles-train, Articles-test, etc.).
- Preprocessed articles (BBCArticle512, BBCArticle512J, etc.).
Text Files:
- Token lengths (Length-Article-512, Length-Summary-512, etc.).
- Logs and ratio calculations (Log, Ratios-512, TestRatio-512).

Dataset Creation

Curation Rationale

The dataset was created to address the lack of resources for NLP research in the Urdu language. It facilitates diverse NLP applications.

Source Data

Data Collection and Processing

Data was collected using scraping scripts and processed to normalize and tokenize text into usable formats.

Who are the source data producers?

The source data is curated from publicly available articles on BBC Urdu.

Annotations

The dataset does not include human annotations; all content is machine-extracted and processed.

Personal and Sensitive Information

The dataset contains publicly available data and does not include personal or sensitive information.

Bias, Risks, and Limitations

The dataset may contain biases inherent in its source, such as topic selection by the BBC Urdu editorial team.
Summaries and topics may not align perfectly with the user's context.

Recommendations

Users should consider dataset limitations and apply domain knowledge when using the data for specific tasks.

Citation

If you use this dataset in your research, please cite:

@article{Subayyal2024,
  title={Breaking Language Barriers: Dataset Development for Low Resource Language},
  author={Subayyal Sheikh, Yasir Jan, Masab A. Javaid, Ammad Khalil, Jebran Khan},
  journal={PeerJ Computer Science},
  year={2024}
}