Datasets:
ndamulelonemakh
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README.md
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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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##
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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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##
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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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##
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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
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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://
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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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