mradermacher/Mixtral_AI_Ultron-GGUF
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Dataset Summary
The Swahili dataset developed specifically for language modeling task. The dataset contains 28,000 unique words with 6.84M, 970k, and 2M words for the train, valid and test partitions respectively which represent the ratio 80:10:10. 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 modeling.
Supported Tasks and Leaderboards
Language Modeling
Languages
Swahili (sw)
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
- text : A line of text in Swahili
Data Splits
train = 80%, valid = 10%, test = 10%
Dataset Creation
Curation Rationale
Enhancing African low-resource languages
Source Data
Initial Data Collection and Normalization
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. 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.
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
Unannotated data
Who are the annotators?
NA
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
Enhancing African low-resource languages
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
Creative Commons Attribution 4.0 International
Citation Information
"""
@InProceedings{huggingface:dataset,
title = Language modeling data for Swahili (Version 1),
authors={Shivachi Casper Shikali, & Mokhosi Refuoe.
},
year={2019},
link = http://doi.org/10.5281/zenodo.3553423
}
"""
Contributions
Thanks to @akshayb7 for adding this dataset.
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