Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
natural-language-inference
Languages:
Jamaican Creole English
Size:
< 1K
ArXiv:
License:
annotations_creators: | |
- expert-generated | |
language: | |
- jam | |
language_creators: | |
- expert-generated | |
- found | |
license: | |
- other | |
multilinguality: | |
- monolingual | |
- other-english-based-creole | |
pretty_name: JamPatoisNLI | |
size_categories: | |
- n<1K | |
source_datasets: | |
- original | |
tags: | |
- creole | |
- low-resource-language | |
task_categories: | |
- text-classification | |
task_ids: | |
- natural-language-inference | |
# Dataset Card for [Dataset Name] | |
## 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:** | |
- jampatoisnli.github.io | |
- **Repository:** | |
- https://github.com/ruth-ann/jampatoisnli | |
- **Paper:** | |
- https://arxiv.org/abs/2212.03419 | |
- **Point of Contact:** | |
- Ruth-Ann Armsrong: armstrongruthanna@gmail.com | |
### Dataset Summary | |
JamPatoisNLI provides the first dataset for natural language inference in a creole language, Jamaican Patois. | |
Many of the most-spoken low-resource languages are creoles. These languages commonly have a lexicon derived from | |
a major world language and a distinctive grammar reflecting the languages of the original speakers and the process | |
of language birth by creolization. This gives them a distinctive place in exploring the effectiveness of transfer | |
from large monolingual or multilingual pretrained models. | |
### Supported Tasks and Leaderboards | |
Natural language inference | |
### Languages | |
Jamaican Patois | |
### Data Fields | |
premise, hypothesis, label | |
### Data Splits | |
Train: 250 | |
Val: 200 | |
Test: 200 | |
### Data set creation + Annotations | |
Premise collection: | |
97% of examples from Twitter; remaining pulled from literature and online cultural website | |
Hypothesis construction: | |
For each premise, hypothesis written by native speaker (our first author) so that pair’s classification would be E, N or C | |
Label validation: | |
Random sample of 100 sentence pairs double annotated by fluent speakers | |
### Social Impact of Dataset | |
JamPatoisNLI is a low-resource language dataset in an English-based Creole spoken in the Caribbean, | |
Jamaican Patois. The creation of the dataset contributes to expanding the scope of NLP research | |
to under-explored languages across the world. | |
### Dataset Curators | |
[@ruth-ann](https://github.com/ruth-ann) | |
### Citation Information | |
@misc{https://doi.org/10.48550/arxiv.2212.03419, | |
doi = {10.48550/ARXIV.2212.03419}, | |
url = {https://arxiv.org/abs/2212.03419}, | |
author = {Armstrong, Ruth-Ann and Hewitt, John and Manning, Christopher}, | |
keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7}, | |
title = {JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset}, | |
publisher = {arXiv}, | |
year = {2022}, | |
copyright = {arXiv.org perpetual, non-exclusive license} | |
} | |
### Contributions | |
Thanks to Prof. Christopher Manning and John Hewitt for their contributions, guidance, facilitation and support related to the creation of this dataset. | |