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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- mg |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for Vaovao Malagasy Sentiment Corpus (VMSC) |
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## Dataset Summary |
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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. |
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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**. |
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This dataset is the official corpus presented in the paper published in *Language Resources and Evaluation* (Springer, 2025). |
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## Supported Tasks |
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- **Sentiment Analysis:** Binary classification (Positive vs. Negative). |
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- **Transfer Learning:** Benchmarking pre-trained models (e.g., XLM-R, mBERT) on Malagasy. |
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- **Low-Resource NLP:** Serving as a gold-standard evaluation set for low-resource language studies. |
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## Languages |
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- **Language:** Malagasy (`mg`) |
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- **Variant:** Standard Malagasy (official dialect used in media and government). |
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## Dataset Structure |
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### Data Instances |
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An example of a data point looks like this: |
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```json |
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{ |
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"text": "Tena nety ny vokatra azo tamin'ny tetikasa.", |
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"label": 1 |
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} |
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``` |
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### Data Fields |
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- text: The news sentence (string). |
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- label: The sentiment label (integer). |
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* 0: Negative |
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* 1: Positive |
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### Data Splits |
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The dataset contains a total of 5,041 sentences. |
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### Dataset Creation |
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* Source: Malagasy news articles published between 2022 and 2023. |
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* Annotation: Manually annotated by native speakers. |
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* Quality Control: Rigorous annotation protocol resulting in a Cohen’s Kappa score of 0.96. |
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### How to Use |
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You can load this dataset directly using the Hugging Face datasets library: |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("Lo-Renz-O/vaovao_malagasy_sentiment_corpus") |
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# View the first training example |
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print(dataset['train'][0]) |
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``` |
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### Citation |
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If you use this dataset in your research, please cite both the paper (methodology) and the dataset version: |
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1. Paper citation: |
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```bibtex |
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@article{Mamelona2025VMSC, |
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author = {Lorenzo Mamelona, Sitraka Ny Aina Raharivelo, Andriamanarivo Tatiana Miarintsoa, Bright Bediako-Kyeremeh & Benjamin Kwapong Osibo}, |
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title = {Towards robust Malagasy NLP: a novel corpus and evaluation framework for sentiment analysis}, |
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journal = {Language Resources and Evaluation}, |
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year = {2026}, |
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publisher = {Springer}, |
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doi = {10.1007/s10579-025-09900-w}, |
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url = {https://link.springer.com/article/10.1007/s10579-025-09900-w} |
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} |
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``` |
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2. Dataset Citation (DOI): |
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```bibtex |
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@misc{lorenzo_mamelona_2025, |
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author = {Lorenzo Mamelona, Sitraka Ny Aina Raharivelo, Andriamanarivo Tatiana Miarintsoa, Bright Bediako-Kyeremeh & Benjamin Kwapong Osibo}, |
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title = {vaovao_malagasy_sentiment_corpus}, |
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year = {2025}, |
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url = {https://huggingface.co/datasets/Lo-Renz-O/vaovao_malagasy_sentiment_corpus}, |
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doi = {10.57967/hf/6293}, |
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publisher = {Hugging Face} |
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} |
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``` |
