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--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- expert-generated |
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languages: |
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- sw |
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licenses: |
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- cc-by-4-0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- sequence-modeling |
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task_ids: |
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- language-modeling |
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--- |
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# Dataset Card for [Dataset Name] |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7339006/** |
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- **Repository: NA** |
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- **Paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7339006/** |
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- **Leaderboard: [More Information Needed]** |
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- **Point of Contact: [More Information Needed]** |
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### Dataset Summary |
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The Swahili dataset developed specifically for language modeling task. |
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The dataset contains 28,000 unique words with 6.84M, 970k, and 2M words for the train, |
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valid and test partitions respectively which represent the ratio 80:10:10. |
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The entire dataset is lowercased, has no punctuation marks and, |
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the start and end of sentence markers have been incorporated to facilitate easy tokenization during language modeling. |
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### Supported Tasks and Leaderboards |
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Language Modeling |
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### Languages |
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Swahili (sw) |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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- text : A line of text in Swahili |
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### Data Splits |
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train = 80%, valid = 10%, test = 10% |
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## Dataset Creation |
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### Curation Rationale |
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Enhancing African low-resource languages |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The dataset contains 28,000 unique words with 6.84 M, 970k, and 2 M words for the train, valid and test partitions respectively which represent the ratio 80:10:10. |
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The entire dataset is lowercased, has no punctuation marks and, the start and end of sentence markers have been incorporated to facilitate easy tokenization during language modelling. |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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Unannotated data |
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#### Who are the annotators? |
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NA |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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Enhancing African low-resource languages |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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Creative Commons Attribution 4.0 International |
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### Citation Information |
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"""\ |
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@InProceedings{huggingface:dataset, |
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title = Language modeling data for Swahili (Version 1), |
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authors={Shivachi Casper Shikali, & Mokhosi Refuoe. |
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}, |
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year={2019}, |
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link = http://doi.org/10.5281/zenodo.3553423 |
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} |
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""" |
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### Contributions |
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Thanks to [@akshayb7](https://github.com/akshayb7) for adding this dataset. |
