Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
topic-classification
Languages:
Burmese
Size:
1K - 10K
License:
annotations_creators: | |
- found | |
language_creators: | |
- found | |
language: | |
- my | |
license: | |
- gpl-3.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- topic-classification | |
pretty_name: MyanmarNews | |
dataset_info: | |
features: | |
- name: text | |
dtype: string | |
- name: category | |
dtype: | |
class_label: | |
names: | |
'0': Sport | |
'1': Politic | |
'2': Business | |
'3': Entertainment | |
splits: | |
- name: train | |
num_bytes: 3797368 | |
num_examples: 8116 | |
download_size: 610592 | |
dataset_size: 3797368 | |
# Dataset Card for Myanmar_News | |
## Dataset Description | |
- **Repository:** https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem | |
### Dataset Summary | |
The Myanmar news dataset contains article snippets in four categories: | |
Business, Entertainment, Politics, and Sport. | |
These were collected in October 2017 by Aye Hninn Khine | |
### Languages | |
Myanmar/Burmese language | |
## Dataset Structure | |
### Data Fields | |
- text - text from article | |
- category - a topic: Business, Entertainment, **Politic**, or **Sport** (note spellings) | |
### Data Splits | |
One training set (8,116 total rows) | |
### Source Data | |
#### Initial Data Collection and Normalization | |
Data was collected by Aye Hninn Khine | |
and shared on GitHub with a GPL-3.0 license. | |
Multiple text files were consolidated into one labeled CSV file by Nick Doiron. | |
## Additional Information | |
### Dataset Curators | |
Contributors to original GitHub repo: | |
- https://github.com/ayehninnkhine | |
### Licensing Information | |
GPL-3.0 | |
### Citation Information | |
See https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem | |
### Contributions | |
Thanks to [@mapmeld](https://github.com/mapmeld) for adding this dataset. |