Amharic Language Model Training Data With 846k Samples

Encompassing 846,113 total text samples for Amharic language model training, split into 761,501 training and 84,612 test samples. It was created by YoseAli and last updated in August 2025.

Use Cases

• Train a large language model on 761,501 Amharic text samples for generative tasks.
• Fine-tune a multilingual model using the Amharic test split of 84,612 samples for evaluation.
• Analyze the linguistic characteristics of Amharic text data for NLP research.

Strengths

• Large scale with 846,113 total text samples.
• Pre-split into 761,501 training and 84,612 test samples for direct use.
• Specifically designed for large language model training and deployment.

Limitations

• No column or feature descriptions are provided, limiting understanding of data structure.
• The source, collection method, and potential biases in the text are unknown.
• The dataset's temporal and geographic coverage within Ethiopia is unspecified.

Provenance

Source

YoseAli on Hugging Face.

Freshness

Last updated on 2025-08-18.

Geography

Ethiopia (inferred from Amharic language focus).