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---
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}
}
``` |