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Fix language and license tag names (#1)
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---
license:
- other
kaggle_id: rtatman/stopword-lists-for-african-languages
---
# Dataset Card for Stopword Lists for African Languages
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** https://kaggle.com/datasets/rtatman/stopword-lists-for-african-languages
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
### Context:
Some words, like “the” or “and” in English, are used a lot in speech and writing. For most Natural Language Processing applications, you will want to remove these very frequent words. This is usually done using a list of “stopwords” which has been complied by hand.
### Content:
This project uses the source texts provided by the African Storybook Project as a corpus and provides a number of tools to extract frequency lists and lists of stopwords from this corpus for the 60+ languages covered by ASP.
Included in this dataset are the following languages:
* Afrikaans: stoplist and word frequency
* Hausa: stoplist and word frequency
* Lugbarati: word frequency only
* Lugbarati (Official): word frequency only
* Somali: stoplist and word frequency
* Sesotho: stoplist and word frequency
* Kiswahili: stoplist and word frequency
* Yoruba: stoplist and word frequency
* isiZulu: stoplist and word frequency
Files are named using the language’s ISO code. For each language, code.txt is the list of stopwords, and code_frequency_list.txt is word frequency information. A list of ISO codes the the languages associated with them may be found in ISO_codes.csv.
### Acknowledgements:
This project therefore attempts to fill in the gap in language coverage for African language stoplists by using the freely-available and open-licensed ASP Source project as a corpus.
Dual-licensed under CC-BY and Apache-2.0 license. Compiled by Liam Doherty. More information and the scripts used to generate these files are available [here](https://github.com/dohliam/more-stoplists).
### Inspiration:
This dataset is mainly helpful for use during NLP analysis, however there may some interesting insights in the data.
* What qualities do stopwords share across languages? Given a novel language, could you predict what its stopwords should be?
* What stopwords are shared across languages?
* Often, related languages will have words with the same meaning and similar spellings. Can you automatically identify any of these pairs of words?
### You may also like:
* [Stopword Lists for 19 Languages (mainly European and South Asian)](https://www.kaggle.com/rtatman/stopword-lists-for-19-languages)
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
This dataset was shared by [@rtatman](https://kaggle.com/rtatman)
### Licensing Information
The license for this dataset is other
### Citation Information
```bibtex
[More Information Needed]
```
### Contributions
[More Information Needed]