Datasets:
language:
- kbd
- deu
- eng
- fra
- por
- rus
- spa
- tur
license: cc-by-2.0
task_categories:
- translation
pretty_name: Multilingual-to-Kabardian Tatoeba Translations Dataset
size_categories:
- 1M<n<10M
tags:
- translation
- multilingual
- parallel-corpus
dataset_info:
features:
- name: source_tatoeba_id
dtype: int64
- name: source_lang
dtype: string
- name: source_text
dtype: string
- name: target_text
dtype: string
- name: similarity_score
dtype: float64
- name: nllb_model_version
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: deu
num_bytes: 78507756
num_examples: 530327
- name: eng
num_bytes: 343953362
num_examples: 2252679
- name: fra
num_bytes: 72440759
num_examples: 502436
- name: por
num_bytes: 49640754
num_examples: 340764
- name: rus
num_bytes: 156138437
num_examples: 907621
- name: spa
num_bytes: 48255668
num_examples: 330634
- name: tur
num_bytes: 129012850
num_examples: 868372
download_size: 278574348
dataset_size: 877949586
configs:
- config_name: default
data_files:
- split: deu
path: data/deu-*
- split: eng
path: data/eng-*
- split: fra
path: data/fra-*
- split: por
path: data/por-*
- split: rus
path: data/rus-*
- split: spa
path: data/spa-*
- split: tur
path: data/tur-*
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 Tatoebasource_lang
: Language code of the source textsource_text
: Original text in source languagetarget_text
: Translated textsimilarity_score
: Similarity score between source and target textsnllb_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
- Sentences were extracted from Tatoeba's database
- Filtered by language pairs
- Translated using various versions of NLLB-200-kbd model
- Translation quality was assessed using panagoa/LaBSE-kbd-v0.1 model to compute similarity scores
- 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...