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license: apache-2.0 |
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# Dataset Card for Low-Resource-Language-Dataset |
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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. |
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## Dataset Details |
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### Dataset Description |
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This dataset contains articles, summaries, and topics scraped from [BBC Urdu](https://www.bbc.com/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. |
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- **Curated by:** Subayyal Sheikh and contributors. |
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- **Language(s):** Urdu. |
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- **License:** Apache 2.0 License. |
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### Dataset Sources |
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- **Repository:** [GitHub Repository](https://github.com/subayyal802/Low-Resource-Language-Dataset) |
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- **Paper:** *Breaking Language Barriers: Dataset Development for Low Resource Language* |
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- **Demo:** None (optional if available) |
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## Uses |
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### Direct Use |
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The dataset is ideal for: |
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- Text summarization |
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- Language modeling |
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- Topic classification |
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### Out-of-Scope Use |
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This dataset may not be suitable for tasks outside of Urdu language processing. Users are advised against malicious or inappropriate use of the data. |
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## Dataset Structure |
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The dataset is structured as follows: |
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- **JSONL Files**: |
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- `Articles`, `Topics`, and `Summaries` (raw and processed). |
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- Training and test splits (`Articles-train`, `Articles-test`, etc.). |
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- Preprocessed articles (`BBCArticle512`, `BBCArticle512J`, etc.). |
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- **Text Files**: |
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- Token lengths (`Length-Article-512`, `Length-Summary-512`, etc.). |
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- Logs and ratio calculations (`Log`, `Ratios-512`, `TestRatio-512`). |
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## Dataset Creation |
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### Curation Rationale |
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The dataset was created to address the lack of resources for NLP research in the Urdu language. It facilitates diverse NLP applications. |
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### Source Data |
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#### Data Collection and Processing |
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Data was collected using scraping scripts and processed to normalize and tokenize text into usable formats. |
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#### Who are the source data producers? |
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The source data is curated from publicly available articles on [BBC Urdu](https://www.bbc.com/urdu). |
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### Annotations |
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The dataset does not include human annotations; all content is machine-extracted and processed. |
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#### Personal and Sensitive Information |
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The dataset contains publicly available data and does not include personal or sensitive information. |
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## Bias, Risks, and Limitations |
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- The dataset may contain biases inherent in its source, such as topic selection by the BBC Urdu editorial team. |
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- Summaries and topics may not align perfectly with the user's context. |
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### Recommendations |
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Users should consider dataset limitations and apply domain knowledge when using the data for specific tasks. |
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## Citation |
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If you use this dataset in your research, please cite: |
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```bibtex |
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@article{Subayyal2024, |
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title={Breaking Language Barriers: Dataset Development for Low Resource Language}, |
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author={Subayyal Sheikh, Yasir Jan, Masab A. Javaid, Ammad Khalil, Jebran Khan}, |
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journal={PeerJ Computer Science}, |
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year={2024} |
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} |
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