---
dataset_info:
  features:
  - name: query_id
    dtype: string
  - name: passage_id
    dtype: string
  - name: query
    dtype: string
  - name: passage
    dtype: string
  - name: category
    dtype: string
  - name: link
    dtype: string
  - name: source_dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 252778249
    num_examples: 66140
  download_size: 122202803
  dataset_size: 252778249
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- am
size_categories:
- 10K<n<100K
---

This dataset can be used directly with Sentence Transformers to train Amharic embedding models.

Source Datasets:
 - https://huggingface.co/datasets/rasyosef/amharic-news-category-classification
 - https://huggingface.co/datasets/rasyosef/xlsum_amharic_summarization
 - https://huggingface.co/datasets/yosefw/amharic-wikipedia