task_categories:
- text-generation
- fill-mask
- feature-extraction
language:
- mg
size_categories:
- 1M<n<10M
license: mit
malagasy-text-dataset
Overview
The Malagasy Text Dataset is a large-scale collection of text data in Malagasy, designed for a wide range of Natural Language Processing (NLP) tasks. It is ideal for training, fine-tuning, and evaluating language models, machine translation systems, and text generation models.
As a low-resource language dataset, it supports NLP research by providing high-quality Malagasy linguistic data, fostering advancements in machine learning and language understanding.
Dataset Details
- Language: Malagasy
- Format: JSONL (one text entry per line)
- Source: Custom dataset
- Content Type: sentences, articles, online content, translation
- Domain Covered: General language, news, conversational text
Potential Applications
This dataset can be used for multiple NLP applications, such as:
- Training language models to understand and generate Malagasy text.
- Fine-tuning pre-trained models for better Malagasy language understanding
- Advancing research on low-resource languages and linguistics analysis
Usage
You can easily load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset('Lo-Renz-O/malagasy-text-dataset')
print(dataset['train'][0])
Contribution
We welcome contributions to improve this dataset! If you have suggestions or additional Malagasy text sources, feel free to open a discussion or submit data on Hugging Face.