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  ## 1. Dataset Description
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  ### Dataset Summary
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- ZaBantu News[Raw] is a collection of news headlines in Sepedi (Northern Sotho) and Tshivenda languages, sourced from various public media platforms. This dataset is designed to support NLP research and development in low-resource languages, providing raw, unlabelled headlines. It complements the "ZaBantu News" dataset, which includes a mix of machine and human labels following IPTC news codes.
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  ### Supported Tasks and Leaderboards
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  This dataset is suitable for tasks such as language modeling, unsupervised learning, and pre-training for downstream NLP tasks (e.g., text classification, topic modeling). It can also be used for linguistic studies and developing NLP tools for Sepedi and Tshivenda.
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  #### Who are the annotators?
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  Not applicable.
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- ## 5. Motivation
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  - **Social Impact of Dataset** - The dataset contributes to NLP research in low-resource languages, potentially aiding in the development of technology that supports linguistic diversity and inclusion.
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- ## 6. Licensing Information
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  The dataset is shared under a Share Alike license, allowing for adaptation and distribution of derivative works under the same or a compatible license.
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- ## 7. Citation Information
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  Please cite this dataset as follows:
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  ```bibtext
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  @misc{zabantu_news_raw,
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  author = {Ndamulelo Nemakhavhani},
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- title = {ZaBantu News[Raw]: Collecting News Headlines for Tshivenda and Sepedi for Cross-Lingual Transfer Evaluation,
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  year = {2024},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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- howpublished = {\url{https://github.com/ndamulelonemakh/ZaBantuNewsRaw}}
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  }
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  ```
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  ## 1. Dataset Description
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  ### Dataset Summary
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+ ZaBantu News[Raw] is a collection of news headlines in Sepedi (Northern Sotho) and Tshivenda languages, sourced from various public media platforms. This dataset is designed to support NLP research and development in low-resource languages, providing raw, unlabelled headlines. It complements the "ZaBantu News" dataset, which includes a mix of machine and human labels following [IPTC news codes](https://www.iptc.org/std/NewsCodes/treeview/mediatopic/mediatopic-en-GB.html).
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  ### Supported Tasks and Leaderboards
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  This dataset is suitable for tasks such as language modeling, unsupervised learning, and pre-training for downstream NLP tasks (e.g., text classification, topic modeling). It can also be used for linguistic studies and developing NLP tools for Sepedi and Tshivenda.
 
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  #### Who are the annotators?
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  Not applicable.
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+ ## 4. Motivation
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  - **Social Impact of Dataset** - The dataset contributes to NLP research in low-resource languages, potentially aiding in the development of technology that supports linguistic diversity and inclusion.
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+ ## 5. Licensing Information
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  The dataset is shared under a Share Alike license, allowing for adaptation and distribution of derivative works under the same or a compatible license.
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+ ## 6. Citation Information
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  Please cite this dataset as follows:
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  ```bibtext
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  @misc{zabantu_news_raw,
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  author = {Ndamulelo Nemakhavhani},
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+ title = {ZaBantu News[Raw]: Collecting Tshivenda and Sepedi News Headlines for Cross-Lingual Transfer Evaluation,
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  year = {2024},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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+ howpublished = {\url{https://huggingface.co/datasets/ndamulelonemakh/zabantu-news}}
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  }
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  ```
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