| --- |
| language: |
| - en |
| - lv |
| license: cc-by-sa-4.0 |
| task_categories: |
| - translation |
| tags: |
| - parallel-corpus |
| - wikipedia |
| - wikimatrix |
| - en-lv |
| - latvian |
| - machine-translation |
| - labse |
| - faiss |
| size_categories: |
| - 100K<n<1M |
| source_datasets: |
| - wikipedia |
| pretty_name: WikiMatrix EN-LV |
| dataset_info: |
| features: |
| - name: en |
| dtype: string |
| - name: lv |
| dtype: string |
| - name: score |
| dtype: float64 |
| splits: |
| - name: train |
| num_examples: 537732 |
| - name: validation |
| num_examples: 29874 |
| - name: test |
| num_examples: 29874 |
| --- |
| |
| # WikiMatrix EN-LV |
|
|
| ## Dataset Description |
|
|
| **597,480** English-Latvian parallel sentence pairs mined from Wikipedia using the WikiMatrix methodology. |
|
|
| ### Method |
|
|
| 1. **Source**: English and Latvian Wikipedia article dumps (April 2026) |
| 2. **Embeddings**: [LaBSE](https://huggingface.co/sentence-transformers/LaBSE) (Language-agnostic BERT Sentence Embeddings) |
| 3. **Retrieval**: FAISS approximate nearest-neighbor search (IndexFlatIP) |
| 4. **Scoring**: Margin-based scoring — `margin(x, y) = cos(x, y) / [(Σ cos(x, nn_y) + Σ cos(y, nn_x)) / (2k)]` |
| 5. **Filtering**: Pairs with margin score ≥ 1.04 retained |
|
|
| ### Columns |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `en` | string | English sentence | |
| | `lv` | string | Latvian sentence | |
| | `score` | float | Margin similarity score (higher = more confident alignment) | |
|
|
| ### Splits |
|
|
| | Split | Examples | |
| |-------|----------| |
| | train | 537,732 | |
| | validation | 29,874 | |
| | test | 29,874 | |
|
|
| ### Quality Thresholds |
|
|
| The `score` column can be used to filter for higher-quality pairs: |
|
|
| | Threshold | Approx. Pairs | Quality | |
| |-----------|---------------|---------| |
| | ≥ 1.04 | 597,480 | All pairs (full dataset) | |
| | ≥ 1.06 | ~500,000 | **Recommended for training** | |
| | ≥ 1.10 | ~350,000 | High confidence | |
| | ≥ 1.20 | ~150,000 | Very high confidence | |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("aimamba/WikiMatrix-en-lv") |
| |
| # Filter for high-quality pairs |
| high_quality = ds["train"].filter(lambda x: x["score"] >= 1.06) |
| print(f"High-quality pairs: {len(high_quality)}") |
| ``` |
|
|
| ### License |
|
|
| CC-BY-SA 4.0 (inherited from Wikipedia) |
|
|
| ### Citation |
|
|
| ```bibtex |
| @misc{wikimatrix-en-lv-2026, |
| title={WikiMatrix EN-LV: English-Latvian Parallel Corpus from Wikipedia}, |
| author={aimamba}, |
| year={2026}, |
| howpublished={\url{https://huggingface.co/datasets/aimamba/WikiMatrix-en-lv}}, |
| note={597,480 sentence pairs mined using LaBSE + FAISS} |
| } |
| ``` |
|
|
| ### Acknowledgments |
|
|
| - [LaBSE](https://arxiv.org/abs/2007.01852) — Feng et al., 2022 |
| - [WikiMatrix](https://arxiv.org/abs/1907.05791) — Schwenk et al., 2019 (methodology inspiration) |
| - [FAISS](https://github.com/facebookresearch/faiss) — Facebook AI Research |
|
|
