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amanuelbyte/Amharic_dataset

Amharic Articles Dataset Dataset Description This dataset comprises news articles in Amharic. Dataset Details Language: Amharic Time Coverage: Primarily December 2020 and January 2021 (Ethiopian Calendar: Tahisas 2013 and Tir 2013) Data Format: Each entry is a text line within a .txt text corpus. Potential Uses This dataset can be used for various purposes: Pretraining Amharic Language Models: The dataset can be used for… See the full description on the dataset page: https://huggingface.co/datasets/amanuelbyte/Amharic_dataset.

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Dataset Card

Amharic Articles Dataset

Dataset Description

This dataset comprises news articles in Amharic.

Dataset Details

  • Language: Amharic
  • Time Coverage: Primarily December 2020 and January 2021 (Ethiopian Calendar: Tahisas 2013 and Tir 2013)
  • Data Format: Each entry is a text line within a .txt text corpus.

Potential Uses

This dataset can be used for various purposes:

  • Pretraining Amharic Language Models: The dataset can be used for pretraining new Amharic language models from scratch.
  • Continued Pretraining: It is also suitable for continued pretraining of existing Amharic language models to adapt them to specific domains or update their knowledge.
  • Text Summarization: Generating concise summaries from long news articles.
  • Natural Language Processing (NLP) Research: Conducting research on Amharic text analysis, word embeddings, and other NLP tasks.
  • Historical and Social Science Research: Analyzing major events and trends reported during a specific period in Ethiopia.
  • Machine Translation: Training models for translation from Amharic to other languages.

Limitations and Considerations

  • Data Cleaning: As the dataset is in raw text format, it may require cleaning of formatting issues (e.g., inconsistent lines, incomplete information) before use for analysis.
  • Licensing: Explicit licensing information for using the dataset is not provided. Users should verify copyright and usage guidelines when acquiring the data.
  • Dataset Size: The provided dataset size is small and may not be sufficient for training large machine learning models.

contact

geaman73@gmail.com