metadata

dataset_info:
  features:
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 1144275121
      num_examples: 5796660
    - name: valid
      num_bytes: 63609868
      num_examples: 322037
    - name: test
      num_bytes: 63500440
      num_examples: 322037
  download_size: 733596591
  dataset_size: 1271385429
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: valid
        path: data/valid-*
      - split: test
        path: data/test-*
language:
  - am
size_categories:
  - 1M<n<10M

Amharic Sentences Corpus

This dataset is compiled by Yimam et al. (2021) at LT Group, University of Hamburg, Germany. It comprises a collection of 6.4 million Amharic sentences intended for use in language model pretraining.

Source

GitHub https://github.com/uhh-lt/ethiopicmodels
Dataset: https://data.mendeley.com/datasets/dtywyf3sth/1
Paper: https://www.mdpi.com/1999-5903/13/11/275

For citing this dataset, please use the following:

@Article{fi13110275,
AUTHOR = {Yimam, Seid Muhie and Ayele, Abinew Ali and Venkatesh, Gopalakrishnan and Gashaw, Ibrahim and Biemann, Chris},
TITLE = {Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets},
JOURNAL = {Future Internet},
VOLUME = {13},
YEAR = {2021},
NUMBER = {11},
ARTICLE-NUMBER = {275},
URL = {https://www.mdpi.com/1999-5903/13/11/275},
ISSN = {1999-5903},
DOI = {10.3390/fi13110275}
}