| --- |
| license: cc-by-sa-4.0 |
| task_categories: |
| - translation |
| language: |
| - uz |
| - en |
| - ru |
| tags: |
| - parallel corpus |
| - tranlate |
| pretty_name: UzLPC |
| size_categories: |
| - 1M<n<10M |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "data.csv" |
| sep: "\t" |
| hosted_by_space: blinoff/UzLPC |
| --- |
| # 🇺🇿 Uzbek Large-Scale Parallel Corpus 2M (UzLPC) |
|
|
| **The largest open parallel corpus for the Uzbek language** |
| Combining Tatoeba and Wikipedia data with high-quality translations from Qwen3.5-122B-A10B. |
|
|
| <img src="uzlpc.jpeg" width="600" alt="dataset preview image"> |
|
|
| --- |
|
|
| ## 📖 Description |
|
|
| The **Uzbek Large-Scale Parallel Corpus 2M (UzLPC)** is a comprehensive collection of over **2.3 million** parallel sentences, designed to advance NLP research for the Uzbek language. It includes: |
|
|
| - **Source texts** in English and Russian, with translations into Uzbek. |
| - **Reference alignments** (for Wikipedia portion) and **confidence scores** to support machine translation, cross-lingual transfer, and linguistic analysis. |
| - **Agglutination indices** to facilitate morphological and typological studies of Uzbek. |
|
|
| The corpus is built from two high-quality sources: |
|
|
| - **Tatoeba** – a community-driven database of example sentences and translations (89.6% of the data). |
| - **Uzbek Wikipedia** – aligned with English articles using LaBSE embeddings, providing high-confidence parallel pairs (10.4% of the data). |
|
|
| All Uzbek translations were generated using the **Qwen3.5-122B-A10B** model (MoE, 122B parameters) running on an **Ascend 910B** NPU cluster, ensuring fluency and consistency. |
|
|
| --- |
|
|
| ## 📊 Dataset Statistics |
|
|
| | Metric | Value | |
| |--------|-------| |
| | **Total sentence pairs** | 2,334,217 | |
| | **from Wikipedia** | 242,730 (10.40%) | |
| | **from Tatoeba** | 2,091,487 (89.60%) | |
| | **Source language distribution** | English: 1,488,583 (63.77%)<br>Russian: 845,634 (36.23%) | |
|
|
| ### Word‑level statistics (Uzbek translations) |
|
|
| | Metric | Value | |
| |--------|-------| |
| | **Total words** | 17,965,600 | |
| | **Unique words (vocabulary)** | 819,160 | |
| | **Type–Token Ratio (TTR)** | 0.0456 | |
| | **Average source word length** | 4.78 characters | |
| | **Average translation word length** | 6.69 characters | |
|
|
| ### Sentence‑level statistics |
|
|
| | Language | Mean word count | Median word count | |
| |----------|----------------|-------------------| |
| | Source (English/Russian) | 8.93 | 7.00 | |
| | Translation (Uzbek) | 7.70 | 6.00 | |
|
|
| ### Translate metrics |
|
|
| On Wikipedia part: BLEU=16.19, chrF=58.48 |
|
|
| --- |
|
|
| ## 🗂️ Data Structure |
|
|
| The corpus is provided as a single CSV file with the following columns: |
|
|
| | Column | Description | |
| |--------|-------------| |
| | `sentence_id` | Unique identifier (original sentence ID from Tatoeba courpus or Wikipedia sentence ID) | |
| | `source_lang` | Source language code (`eng` or `rus`) | |
| | `source_texts` | Original sentence in English or Russian | |
| | `translation` | Uzbek translation generated by Qwen3.5-122B-A10B | |
| | `references` | Reference Uzbek sentence (available only for Wikipedia part) | |
| | `confidence_score` | Semantic similarity score (LaBSE) between source and reference (Wiki only) | |
| | `agglutination_index` | Morphological agglutination index calculated for the reference sentence (Wiki only) | |
|
|
| > **Note:** For Tatoeba entries, `references`, `confidence_score`, and `agglutination_index` are left empty. |
|
|
| --- |
|
|
| ## 🛠️ Methodology |
|
|
| 1. **Data Collection** |
| - **Tatoeba**: Downloaded the full sentence dump, filtered for English and Russian source sentences. |
| - **Wikipedia**: Extracted articles from the Uzbek Wikipedia dump and aligned them with their English counterparts. |
|
|
| 2. **Translation** |
| - All source sentences (English and Russian) were translated into Uzbek using the **Qwen3.5-122B-A10B** model. |
| - Translation was performed on a high‑performance server with 8× Ascend 910B NPUs (512 GB VRAM) using SGLang, achieving an average throughput of **>160 tokens/second**. |
|
|
| 3. **Alignment (Wikipedia)** |
| - Sentence‑level alignment between Uzbek and English Wikipedia articles was performed using **LaBSE** embeddings and cosine similarity. |
| - Only pairs with a confidence score ≥ 0.7 were retained, yielding **242,730** high‑quality parallel sentences. |
|
|
| 4. **Morphological Analysis** |
| - The agglutination index was computed for each Uzbek reference sentence to quantify the degree of agglutination, a key typological feature of the language. |
|
|
| --- |
|
|
| ## 🙏 Acknowledgments |
|
|
| We extend our sincere gratitude to **Huawei Technologies** for providing the computing resources necessary for this project. The translation of over 2.3 million sentences was performed on an **Atlas 800I A2** server equipped with **8× Ascend 910B NPUs** (512 GB VRAM) and 4× Kunpeng 920 CPUs. This powerful infrastructure enabled us to achieve an inference throughput exceeding **160 tokens/second**, making this large-scale corpus creation possible. |
|
|
| We also thank the open-source community for maintaining the Tatoeba project and Wikipedia, which served as the foundation of this dataset. |
|
|
| --- |
|
|
| ## 📜 License |
|
|
| This dataset is released under the **Creative Commons Attribution‑ShareAlike 4.0 International (CC BY‑SA 4.0)** license, consistent with the licenses of its source data (Tatoeba and Wikipedia). |
| You are free to use, share, and adapt the dataset, provided you give appropriate credit and distribute any derivative works under the same terms. |
