File size: 3,298 Bytes
e727f49 6388061 7d5510a 6388061 7d5510a 6388061 7d5510a 6388061 7d5510a 6388061 7d5510a 6388061 7d5510a 6388061 7d5510a 6388061 7d5510a 8ddf22f 7d5510a 8ddf22f 7d5510a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
license: mit
task_categories:
- text-classification
language:
- mg
size_categories:
- 1K<n<10K
---
# Dataset Card for Vaovao Malagasy Sentiment Corpus (VMSC)
## Dataset Summary
The **Vaovao Malagasy Sentiment Corpus (VMSC)** is the first publicly available, manually annotated sentiment analysis dataset for the Malagasy language (`mg`). It contains **5,041 sentences** extracted from news articles (*vaovao*) published between 2022 and 2023.
Each sentence is labeled with binary sentiment (**Positive** or **Negative**). The dataset was created to address the scarcity of resources for Malagasy NLP and benchmarks. It features high-quality annotations performed by native speakers, achieving an inter-annotator agreement of **Cohen’s Kappa = 0.96**.
This dataset is the official corpus presented in the paper published in *Language Resources and Evaluation* (Springer, 2025).
## Supported Tasks
- **Sentiment Analysis:** Binary classification (Positive vs. Negative).
- **Transfer Learning:** Benchmarking pre-trained models (e.g., XLM-R, mBERT) on Malagasy.
- **Low-Resource NLP:** Serving as a gold-standard evaluation set for low-resource language studies.
## Languages
- **Language:** Malagasy (`mg`)
- **Variant:** Standard Malagasy (official dialect used in media and government).
## Dataset Structure
### Data Instances
An example of a data point looks like this:
```json
{
"text": "Tena nety ny vokatra azo tamin'ny tetikasa.",
"label": 1
}
```
### Data Fields
- text: The news sentence (string).
- label: The sentiment label (integer).
* 0: Negative
* 1: Positive
### Data Splits
The dataset contains a total of 5,041 sentences.
### Dataset Creation
* Source: Malagasy news articles published between 2022 and 2023.
* Annotation: Manually annotated by native speakers.
* Quality Control: Rigorous annotation protocol resulting in a Cohen’s Kappa score of 0.96.
### How to Use
You can load this dataset directly using the Hugging Face datasets library:
```python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Lo-Renz-O/vaovao_malagasy_sentiment_corpus")
# View the first training example
print(dataset['train'][0])
```
### Citation
If you use this dataset in your research, please cite both the paper (methodology) and the dataset version:
1. Paper citation:
```bibtex
@article{Mamelona2025VMSC,
author = {Lorenzo Mamelona, Sitraka Ny Aina Raharivelo, Andriamanarivo Tatiana Miarintsoa, Bright Bediako-Kyeremeh & Benjamin Kwapong Osibo},
title = {Towards robust Malagasy NLP: a novel corpus and evaluation framework for sentiment analysis},
journal = {Language Resources and Evaluation},
year = {2026},
publisher = {Springer},
doi = {10.1007/s10579-025-09900-w},
url = {https://link.springer.com/article/10.1007/s10579-025-09900-w}
}
```
2. Dataset Citation (DOI):
```bibtex
@misc{lorenzo_mamelona_2025,
author = {Lorenzo Mamelona, Sitraka Ny Aina Raharivelo, Andriamanarivo Tatiana Miarintsoa, Bright Bediako-Kyeremeh & Benjamin Kwapong Osibo},
title = {vaovao_malagasy_sentiment_corpus},
year = {2025},
url = {https://huggingface.co/datasets/Lo-Renz-O/vaovao_malagasy_sentiment_corpus},
doi = {10.57967/hf/6293},
publisher = {Hugging Face}
}
``` |