| from mteb.abstasks import AbsTaskClassification |
| from mteb.abstasks.TaskMetadata import TaskMetadata |
|
|
|
|
| class MyanmarNews(AbsTaskClassification): |
| metadata = TaskMetadata( |
| name="MyanmarNews", |
| dataset={ |
| "path": "ayehninnkhine/myanmar_news", |
| "revision": "b899ec06227db3679b0fe3c4188a6b48cc0b65eb", |
| }, |
| description="The Myanmar News dataset on Hugging Face contains news articles in Burmese. It is designed for tasks such as text classification, sentiment analysis, and language modeling. The dataset includes a variety of news topics in 4 categorie, providing a rich resource for natural language processing applications involving Burmese which is a low resource language.", |
| reference="https://huggingface.co/datasets/myanmar_news", |
| type="Classification", |
| category="p2p", |
| eval_splits=["train"], |
| eval_langs=["mya-Mymr"], |
| main_score="accuracy", |
| date=("2017-10-01", "2017-10-31"), |
| form=["written"], |
| domains=["News"], |
| task_subtypes=["Topic classification"], |
| license="GPL 3.0", |
| socioeconomic_status="low", |
| annotations_creators="derived", |
| dialect=[], |
| text_creation="found", |
| bibtex_citation="""" |
| @inproceedings{Khine2017, |
| author = {A. H. Khine and K. T. Nwet and K. M. Soe}, |
| title = {Automatic Myanmar News Classification}, |
| booktitle = {15th Proceedings of International Conference on Computer Applications}, |
| year = {2017}, |
| month = {February}, |
| pages = {401--408} |
| }""", |
| n_samples={"train": 2048}, |
| avg_character_length={"train": 174.2}, |
| ) |
|
|
| def dataset_transform(self): |
| self.dataset = self.dataset.rename_columns({"category": "label"}) |
| self.dataset = self.stratified_subsampling( |
| self.dataset, seed=self.seed, splits=["train"] |
| ) |
|
|
