The Swahili Classification Task #998
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| class SwahiliNewsClassification(AbsTaskClassification): | ||
| metadata = TaskMetadata( | ||
| name="SwahiliNewsClassification", | ||
| description="Dataset for Swahili News Classification, categorized with 5 domains. Building and Optimizing Swahili Language Models: Techniques, Embeddings, and Datasets", |
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which 5 domains?
| socioeconomic_status="mixed", | ||
| annotations_creators="derived", | ||
| text_creation="found", | ||
| bibtex_citation=""" |
| @@ -0,0 +1,43 @@ | |||
| from __future__ import annotations | |||
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| # from ....abstasks import AbsTaskClassification | |||
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| # from ....abstasks import AbsTaskClassification |
| metadata = TaskMetadata( | ||
| name="SwahiliNewsClassification", | ||
| description="Dataset for Swahili News Classification, categorized with 5 domains. Building and Optimizing Swahili Language Models: Techniques, Embeddings, and Datasets", | ||
| reference="https://huggingface.co/datasets/Mollel/SwahiliNewsClassification", |
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Seems like the dataset has quite limited documentation?
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Checklist
make test.make lint.Adding datasets checklist
Reason for dataset addition: ...
mteb -m {model_name} -t {task_name}command.sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2intfloat/multilingual-e5-smallself.stratified_subsampling() under dataset_transform()make test.make lint.Adding a model checklist
mteb.get_model(model_name, revision_id)andmteb.get_model_meta(model_name, revision_id)