Datasets:
metadata
task_categories:
- translation
language:
- en
- kn
tags:
- machine-translation
- nllb
- english
- kannada
- parallel-corpus
- multilingual
- low-resource
pretty_name: English-Kannada NLLB Machine Translation Dataset
size_categories:
- 10K<n<100K
English-Kannada NLLB Machine Translation Dataset
This dataset contains English-Kannada parallel text from NLLB dataset along with new NLLB model translations.
Dataset Structure
Train: 16,702 examples
Test: 8,295 examples
Validation: 4,017 examples
Features
en
: Source English text (from NLLB Dataset)kn
: Human-translated Kannada text (from NLLB Dataset)kn_nllb
: Machine-translated Kannada text using facebook/nllb-200-distilled-600M model
While kn
translations are available in the NLLB dataset, their quality is poor. Therefore, we created kn_nllb
by translating the English source text using NLLB's distilled model to obtain cleaner translations.
Preprocessing
- Filtered: Minimum 5 words in both English and NLLB-translated Kannada texts
- Train-test split: 2:1 ratio
Use Cases
- Evaluating NLLB translations for English-Kannada
- Training/fine-tuning MT models
- Analyzing translation quality: NLLB Dataset vs NLLB Model outputs
Citation
- NLLB Team et al. "No Language Left Behind: Scaling Human-Centered Machine Translation"
- OPUS parallel corpus
License
Same as NLLB license