---
license: apache-2.0
---




![Amharic_Sentences_Corpus_banner_02](https://cdn-uploads.huggingface.co/production/uploads/6946bd29d36538f56ad17d29/zz7eqhpgTF5HXxf5ybO_9.jpeg)

# Amharic Sentences Corpus V1.0
# Source: [Telegram](https://et.tgstat.com)

This 1.6 million Amharic sentences corpus reflects current Amharic usage as of December 20, 2025, and is designed for anyone interested in:
- Training Amharic-based LLMs
- Fine-tuning NLP models
- Building search, summarization, or generative systems in Amharic

The dataset is heavily cleaned and normalized, but like any serious LLM dataset, it still needs proper tokenization for pre-training.

I recommend using an Amharic-specific tokenizer such as: https://pypi.org/project/amharic-tokenizer/0.2.6

Another useful Amharic Sentences corpus by [@rasyosef](https://huggingface.co/datasets/rasyosef/amharic-sentences-corpus) & [@Addis AI](https://huggingface.co/datasets/addisai/wikipedia-amharic)


# How did I create this text corpus?
- I vibe coded a simple yet powerful script that creates a sentences from a .Json file.
  If you Want to create your own text corpus, feel free to use my script.
  https://github.com/ababiyaworku/HuggingFace_dataset_creator

This project is fully open-source & community-driven. If you’re building in NLP, AI research, or language technology, this is for you.

Use it. Improve it. Build on top of it.