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ccibeekeoc42
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english_to_igbo

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Igbo
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machine-translation
igbo
english
nlp
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metadata
language:
  - en
  - ig
pretty_name: My English to Igbo Dataset
license: mit
tags:
  - machine-translation
  - igbo
  - english
  - nlp

English-Igbo Parallel Corpus

Description

This dataset is a comprehensive collection of parallel sentences in English and Igbo. It has been compiled from multiple sources to create a rich resource for machine translation, language research, and natural language processing tasks. The dataset is particularly valuable for those focusing on Igbo, a language spoken primarily in Nigeria, which is underrepresented in the field of computational linguistics.

Composition

The dataset comprises the following components:

  1. iamwille/igbo-translation Dataset: Originally sourced from Hugging Face, this subset includes professionally translated sentences covering various topics.

  2. Igbo-English Machine Translation Dataset: This subset, also sourced from Papers with Code, provides additional translated sentences with a focus on common phrases and expressions.

  3. Custom Text File Translations: A set of English-Igbo sentence pairs extracted from a custom text file, offering a diverse range of everyday language usage.

  4. JW300 Text Data: Sourced from the JW300 corpus, this part includes religious and educational text, contributing to the diversity of the dataset.

Dataset Structure

Data Splits

The dataset is divided into two splits:

  • Training Set: Contains a majority of the sentences, intended for training machine translation models or other NLP tasks.
  • Test Set: A smaller set of sentences for evaluating model performance.

Data Fields

Each entry in the dataset consists of two fields:

  • English: The sentence or phrase in English.
  • Igbo: The corresponding translation in Igbo.

Data Format

The dataset is available in CSV format, with each row representing a parallel sentence pair.

Usage

This dataset can be used for various tasks in NLP, including but not limited to:

  • Machine Translation
  • Cross-lingual Transfer Learning
  • Linguistic Research

Source and Acknowledgments

This dataset has been compiled from various sources. We acknowledge the contributions of:

  • Hugging Face for hosting the initial datasets.
  • The creators of the JW300 corpus.
  • Individual contributors of the custom text translations.

Licensing

This dataset is released under [specify the license, e.g., MIT License]. Please ensure to adhere to the licensing terms of the original sources when using this dataset.

Contact

For any queries or contributions, please contact Chinemerem Ibe-Ekeocha at ccibeekeoc42@gmail.com.