metadata

language:
  - fra
  - kbd
license: cc-by-2.0
task_categories:
  - translation
pretty_name: French-to-Kabardian Tatoeba Raw Machine Translations Dataset
size_categories:
  - 1M<n<10M
tags:
  - translation
  - parallel-corpus
dataset_info:
  features:
    - name: tatoeba_id
      dtype: int64
    - name: source_lang
      dtype: string
    - name: target_lang
      dtype: string
    - name: source
      dtype: string
    - name: target
      dtype: string
    - name: similarity
      dtype: float64
    - name: model
      dtype: string
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 515894673
      num_examples: 3376548
  download_size: 227358101
  dataset_size: 515894673
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

French-to-Kabardian Tatoeba Raw Machine Translations Dataset

This dataset contains translations of sentences from French to Kabardian, sourced from the Tatoeba project. It provides a substantial parallel corpus for machine translation and linguistic research involving the Kabardian language.

Dataset Description

Dataset Overview

This dataset contains over 14 million sentence pairs, with source sentences in French and their translations in Kabardian. Each entry includes metadata such as the original Tatoeba sentence ID, language codes, and similarity scores.

The dataset serves as a valuable resource for:

Machine translation systems targeting Kabardian
Linguistic research on low-resource languages
Cross-lingual NLP applications
Preservation and documentation of the Kabardian language

Dataset Structure

{
  'tatoeba_id': 12345,
  'source_lang': 'fra',
  'target_lang': 'kbd',
  'source': 'Example sentence in French',
  'target': 'Translation in Kabardian',
  'similarity': 0.95,
  'model': 'model-name',
  '__index_level_0__': 0
}

Dataset Creation

Source Data

The source data comes from the Tatoeba Project, which is a collection of sentences and translations in many languages. The French sentences were used as source text for machine translation into Kabardian.

Translation Process

This dataset is a raw machine translation output without any human validation or post-editing:

All translations were generated using various fine-tuned versions of the NLLB-200 (No Language Left Behind) model
No manual corrections or human review was performed on the translations
The dataset represents direct output from the machine translation system
The 'similarity' score refers to the model's internal confidence metric
The 'model' field indicates which specific fine-tuned NLLB-200 version was used for each translation

Considerations for Using the Data

Social Impact and Biases

This dataset contributes to language preservation and technological inclusion for the Kabardian language community. However, as with any translation dataset:

There may be cultural nuances that are difficult to translate accurately
The distribution of topics may not represent the full breadth of the language
Potential biases in the source content could be propagated through translations

Discussion of Limitations

As this is a raw machine translation dataset without human validation:

Translation quality may vary significantly across the dataset
There may be systematic errors common to neural machine translation systems
The translations have not been verified by native Kabardian speakers
The model may struggle with cultural concepts, idioms, and specialized terminology
The translations should be considered as a starting point rather than a gold standard
This dataset is most useful for further fine-tuning of translation models or as a basis for human post-editing

Additional Information

Dataset Curators

This dataset has been curated from the Tatoeba project's translations. For specific information about the curation process, please contact the dataset contributors.

Licensing Information

This dataset is licensed under the Creative Commons Attribution 2.0 Generic (CC BY 2.0) license, which allows for sharing and adaptation with appropriate attribution.

Citation Information

If you use this dataset in your research, please cite both the Tatoeba project and this dataset collection.

Contributions

Contributions to improve the dataset are welcome. Please refer to the Hugging Face dataset contribution guidelines.