panagoa/tatoeba_kbd

Tatoeba Translations Dataset

Dataset Description

This dataset contains parallel sentence translations from Tatoeba to Kabardian language (kbd), filtered by similarity score. The source languages are:

• German (deu)
• English (eng)
• French (fra)
• Portuguese (por)
• Russian (rus)
• Spanish (spa)
• Turkish (tur)

All translations in this dataset are paired with Kabardian (kbd) as the target language.

Dataset Summary

The dataset consists of high-quality parallel translations from multiple languages to Kabardian, containing over 5.7M examples. Each translation pair has been filtered based on similarity scores to ensure quality. This dataset is particularly valuable for multilingual translation tasks involving Kabardian language, as it provides a large-scale resource for low-resource language translation.

Languages

The dataset includes translations from the following source languages to Kabardian:

Source languages:

• German (deu) ISO 639-3
• English (eng) ISO 639-3
• French (fra) ISO 639-3
• Portuguese (por) ISO 639-3
• Russian (rus) ISO 639-3
• Spanish (spa) ISO 639-3
• Turkish (tur) ISO 639-3

Target language:

• Kabardian (kbd) ISO 639-3

Dataset Structure

Data Instances

Each instance in the dataset contains:

{
    'source_tatoeba_id': 7627627,                 # Tatoeba sentence ID
    'source_lang': 'eng',                         # Source language code
    'source_text': 'He\'s always happy.',         # Original text
    'target_text': 'Ар сыт щыгъуи насыпыфIэщ.',   # Translated text
    'similarity_score': 0.9283,                   # Translation similarity score
    'nllb_model_version': 'rus-kbd-v1.3.4'        # Translation model version used
}

Data Fields

• source_tatoeba_id: Unique identifier from Tatoeba
• source_lang: Language code of the source text
• source_text: Original text in source language
• target_text: Translated text
• similarity_score: Similarity score between source and target texts
• nllb_model_version: Version of the NLLB model used for translation

Data Splits

The dataset is organized by source languages, with each language paired with Kabardian as the target language. The similarity thresholds represent the 75th percentile of similarity scores for each language pair:

• deu: German-Kabardian pairs (75th percentile similarity: 0.8711)
• eng: English-Kabardian pairs (75th percentile similarity: 0.8800)
• fra: French-Kabardian pairs (75th percentile similarity: 0.8716)
• por: Portuguese-Kabardian pairs (75th percentile similarity: 0.8807)
• rus: Russian-Kabardian pairs (75th percentile similarity: 0.8916)
• spa: Spanish-Kabardian pairs (75th percentile similarity: 0.8718)
• tur: Turkish-Kabardian pairs (75th percentile similarity: 0.8554)

Dataset Creation

Source Data

The source data comes from Tatoeba, a free collaborative online database of example sentences.

Initial Data Collection and Normalization

1. Sentences were extracted from Tatoeba's database
2. Filtered by language pairs
3. Translated using various versions of NLLB-200-kbd model
4. Translation quality was assessed using panagoa/LaBSE-kbd-v0.1 model to compute similarity scores
5. For quality assurance, translations were filtered using the 75th percentile of similarity scores for each language pair as a threshold

Annotations

The translations were generated using different versions of NLLB-200-kbd model. The similarity scores were computed using panagoa/LaBSE-kbd-v0.1 model to ensure translation quality and consistency.

Additional Information

Dataset Curators

This dataset was curated by [panagoa]

Licensing Information

This dataset is licensed under Creative Commons Attribution 2.0.

Citation Information

@misc{tatoeba_translations_2025,
    title={Multilingual-to-Kabardian Tatoeba Translations Dataset},
    author={Adam Panagov},
    year={2025},
    publisher={Hugging Face},
    howpublished={\url{https://huggingface.co/datasets/panagoa/tatoeba_kbd}}
}

Contributions

Thanks to @Tatoeba for providing the source data.

Usage Examples

from datasets import load_dataset

# Load the entire dataset
dataset = load_dataset("panagoa/tatoeba_kbd")

# Load specific language pairs
eng_dataset = load_dataset("panagoa/tatoeba_kbd", "eng")
rus_dataset = load_dataset("panagoa/tatoeba_kbd", "rus")

# Example of accessing data
for example in eng_dataset['train']:
    source = example['source_text']
    target = example['target_text']
    similarity = example['similarity_score']
    # Your processing code...