---
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)](https://www.mdpi.com/1999-5903/13/11/275) at [LT Group](https://huggingface.co/uhhlt), 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}
}

```