| --- |
| annotations_creators: |
| - found |
| language_creators: |
| - found |
| language: |
| - ar |
| - de |
| - en |
| - es |
| - fr |
| - hi |
| - id |
| - it |
| - ja |
| - ko |
| - nl |
| - pl |
| - pt |
| - ru |
| - sv |
| - th |
| - tr |
| - uk |
| - vi |
| - zh |
| license: |
| - apache-2.0 |
| multilinguality: |
| - multilingual |
| pretty_name: UTS-Datasets |
| size_categories: |
| - 10M<n<100M |
| source_datasets: |
| - opus-100 |
| - opus_ccmatrix |
| - opus_paracrawl |
| - open_subtitles |
| - wmt19 |
| - wmt20 |
| - wmt21 |
| task_categories: |
| - translation |
| task_ids: |
| - translation |
| --- |
| |
| # UTS-Datasets |
|
|
| Processed parallel training and validation data for the [Universal Translation System](https://github.com/code-with-zeeshan/universal-translation-system). Generated by the UTS data pipeline with quality enhancement stages. |
|
|
| ## Dataset Contents |
|
|
| ### Files |
|
|
| | File | Description | |
| |------|-------------| |
| | `train_final.txt` | ~4M parallel sentences (all language pairs, sampled & augmented) | |
| | `val_final.txt` | ~100K validation sentences (held out from training) | |
| | `vocab/` | Script-grouped SentencePiece vocabulary packs (6 groups × 32K tokens) | |
| | `pipeline_state.json` | Pipeline checkpoint state for resumability | |
|
|
| ### Language Coverage |
|
|
| 20 languages, 190 directional pairs: |
|
|
| | Group | Languages | |
| |-------|-----------| |
| | Latin | en, es, fr, de, it, pt, nl, sv, pl, id, vi, tr | |
| | CJK | zh, ja, ko | |
| | Arabic | ar | |
| | Devanagari | hi | |
| | Cyrillic | ru, uk | |
| | Thai | th | |
|
|
| ### Training Distribution (top pairs) |
|
|
| | Pair | Sentences | |
| |------|-----------| |
| | en-es | 400K | |
| | en-fr | 400K | |
| | en-de | 400K | |
| | en-zh | 300K | |
| | en-ru | 300K | |
| | en-ja | 200K | |
| | en-ar | 200K | |
| | en-pt | 200K | |
| | en-it | 200K | |
| | en-hi | 100K | |
| | Others (10 pairs) | 60K-100K each | |
| | Non-English pivots (14 pairs) | 40K each | |
|
|
| ## Data Processing Pipeline |
|
|
| The data was processed through the UTS pipeline stages: |
|
|
| 1. **Download** — OPUS-100 + supplementary sources (CCMatrix, ParaCrawl, OpenSubtitles, WMT) |
| 2. **Sampling** — Length filtering (16-128 tokens), language detection, deduplication |
| 3. **Augmentation** — False friends replacement, idiom insertion, pivot backtranslation |
| 4. **Knowledge Distillation** — NLLB-3.3B teacher → soft labels (GPU-only stage) |
| 5. **Quality Filtering** — COMET-22 neural quality scoring (threshold 0.7) |
| 6. **Vocabulary** — SentencePiece training per script group (unigram model, 32K tokens) |
|
|
| ## Usage |
|
|
| ```bash |
| # Download via HF Hub |
| pip install huggingface_hub |
| huggingface-cli download code-with-zeeshan/UTS-Datasets --repo-type dataset --local-dir ./uts_data |
| |
| # Use with UTS training |
| uts train --full --config config/override/my_config.yaml --hub-repo-id code-with-zeeshan/UTS-Datasets |
| ``` |
|
|
| ## Data Format |
|
|
| Each line in `train_final.txt` / `val_final.txt`: |
| ``` |
| <langpair> ||| <source_text> ||| <target_text> |
| ``` |
|
|
| Example: |
| ``` |
| en-es ||| Hello world ||| Hola mundo |
| ``` |
|
|
| ## Recreating This Dataset |
|
|
| ```bash |
| uts config --interactive |
| # Enable all stages: download, sample, augment, create_ready, |
| # validate, vocab, wiki_bt, knowledge_distillation, comet |
| uts data --pipeline --config config/override/my_config.yaml --hub-repo-id code-with-zeeshan/UTS-Datasets |
| ``` |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|
