README.md

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