metadata
license: cc-by-4.0
task_categories:
- translation
language:
- tvl
- en
size_categories:
- 100K<n<1M
source_datasets:
- jw_org_wol
TV2EN: Tuvaluan-English Parallel Corpus
Dataset Summary
Cleaned Tuvaluan-English parallel corpus
Dataset Details
Data Fields
- tvl (string): Text in Tuvaluan
- en (string): Text in English
- domain (string): Source domain (bible, book/article, daily_text)
- content_type (string): Content type (bible_verse, article_paragraph, daily_text)
- doc_id (string, optional): Document identifier from JW.org
- date (string, optional): Date for daily texts (YYYY-MM-DD format)
Data Size
- Total pairs: 178,371 pairs (~25.3M tokens)
- Languages: Tuvaluan (TVL) ↔ English (EN)
- Domains: Biblical texts, religious articles, daily devotional content
Data Quality
Cleaning Pipeline:
- Removal of duplicate entries (by ID and content)
- Filtering of malformed entries
- Validation of language pair alignment
- Metadata consistency checks
Quality Metrics:
- Parse success rate: >99%
- Duplicate removal: 131K entries removed
- Final retention: 178K high-quality pairs
Source
All text sourced from Watch Tower Library Online (JW.org/wol):
- Bible: 30,838 verse-aligned pairs across 66 books
- Articles: 275,430 paragraph-aligned pairs from publications
- Daily Text: 3,432 date-aligned devotional pairs (2017-2025)
Language Coverage
Tuvaluan (TVL)
- Native speakers: ~11,000
- Classification: Low-resource Polynesian language
- WOL locale:
lp-vl(VL, not TVL)
English (EN)
- Native content from JW.org English publications
- WOL locale:
lp-e
Licensing & Attribution
- License: CC-BY-4.0
- Source: Watch Tower Bible and Tract Society of Pennsylvania
- Attribution: JW.org Watch Tower Library Online (https://www.jw.org/)
Ethical Considerations
- Content sourced from religious publications
- Reflects Watchtower theological positions
- Suitable for low-resource NLP research
Citation
@dataset{tv2en_corpus,
title={TV2EN: Tuvaluan-English Parallel Corpus},
author{FriezaForce},
year{2026},
publisher={Hugging Face},
url={https://huggingface.co/datasets/FriezaForce/tv2en-cleaned}
}
Dataset Statistics
- Min/max sentence length: Variable (typically 5-200 words per side)
- Alignment quality: High (verified manual sampling)
- Temporal coverage: 2017-2025 for daily texts
- Publication coverage: 22+ publication codes
Suggested Use Cases
- Machine translation (Tuvaluan ↔ English)
- Low-resource NLP research
- Multilingual model adaptation
- Cross-lingual transfer learning