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metadata
task_categories:
  - translation
language:
  - de
  - en

Dataset Description:

Dataset Name: English-German Translation Pairs for Machine Learning.

Note: This dataset mainly focuses on formal conversation.

Dataset Overview:

This dataset is a meticulously curated collection of English-German translation pairs, designed specifically for training machine learning models, particularly those focused on machine translation tasks. With a total of 48,400,531 translation pairs, this dataset offers an extensive and diverse set of examples that can significantly enhance the training of models aiming to achieve high accuracy in English-to-German and German-to-English translation.

Key Features:

  • Size: The dataset contains over 48 million translation pairs, making it one of the largest publicly available datasets for English-German machine translation.

  • Format: The data is provided in a JSONL (JSON Lines) format, which is optimized for easy and efficient training in various machine learning frameworks.

  • Language Pair: English (Source) to German (Target) translations.

  • Text Characteristics:

    • Average English Words per Sentence: 18.43
    • Average German Words per Sentence: 17.09
  • Quality: The dataset has been carefully constructed to ensure high-quality translations, making it an ideal resource for training and evaluating translation models.

Potential Use Cases:

  • Training machine translation models (e.g., Transformer-based models).
  • Developing bilingual corpora for research in natural language processing (NLP).
  • Enhancing the performance of multilingual models.
  • Evaluating the effectiveness of different translation algorithms.

How to Use:

The dataset can be easily integrated into training pipelines that support JSONL format. Researchers and developers can use this dataset to fine-tune pre-trained models or to train new models from scratch, focusing on improving translation accuracy and fluency between English and German.

License:

Creative Commons Attribution (CC-BY) license.

Contributors:

Darth-Vaderr(Data Scientist, Germany) (@X: Im_Mr_Lazy)