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README.md
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# English-Igbo Parallel Corpus
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## Description
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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.
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## Composition
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The dataset comprises the following components:
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1. **iamwille/igbo-translation Dataset:** Originally sourced from [Hugging Face](https://huggingface.co/datasets/iamwille/igbo-translation), this subset includes professionally translated sentences covering various topics.
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2. **Igbo-English Machine Translation Dataset:** This subset, also sourced from Hugging Face, provides additional translated sentences with a focus on common phrases and expressions.
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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.
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4. **JW300 Text Data:** Sourced from the JW300 corpus, this part includes religious and educational text, contributing to the diversity of the dataset.
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## Dataset Structure
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### Data Splits
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The dataset is divided into two splits:
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- **Training Set:** Contains a majority of the sentences, intended for training machine translation models or other NLP tasks.
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- **Test Set:** A smaller set of sentences for evaluating model performance.
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### Data Fields
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Each entry in the dataset consists of two fields:
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- `English`: The sentence or phrase in English.
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- `Igbo`: The corresponding translation in Igbo.
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### Data Format
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The dataset is available in CSV format, with each row representing a parallel sentence pair.
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## Usage
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This dataset can be used for various tasks in NLP, including but not limited to:
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- Machine Translation
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- Cross-lingual Transfer Learning
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- Linguistic Research
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## Source and Acknowledgments
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This dataset has been compiled from various sources. We acknowledge the contributions of:
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- Hugging Face for hosting the initial datasets.
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- The creators of the JW300 corpus.
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- Individual contributors of the custom text translations.
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## Licensing
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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.
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## Contact
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For any queries or contributions, please contact [Your Name/Your Organization's Name] at [Your Contact Information].
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