| --- |
| language: |
| - fa |
| - tg |
| license: apache-2.0 |
| pretty_name: Tajik–Persian Parallel Corpus |
| task_categories: |
| - translation |
| - sentence-similarity |
| - summarization |
| - feature-extraction |
| - text-generation |
| tags: |
| - parallel-corpus |
| - tajik |
| - persian |
| - translation |
| - bilingual |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # TajPersParallelCorpus |
|
|
| Tajik–Persian Parallel Corpus is a large-scale parallel corpus for Tajik and Persian. |
|
|
| ## Description |
|
|
| This dataset contains aligned Tajik–Persian sentence pairs collected from multiple sources, including news, poetry, prose, lexical resources, and named-entity lists. |
| It is intended for machine translation, cross-lingual retrieval, linguistic analysis, tokenizer evaluation, and other NLP tasks. |
|
|
| ## Dataset Statistics |
|
|
| ### Overview |
| | Metric | Value | |
| |---|---:| |
| | Sentence pairs | 328,253 | |
| | Unique Tajik sentences | 328,253 | |
| | Unique Persian sentences | 328,253 | |
| | Total Tajik tokens | 1,888,484 | |
| | Total Persian tokens | 1,984,629 | |
| | Unique Tajik words | 253,320 | |
| | Unique Persian words | 169,174 | |
| | Avg. Tajik tokens / sentence | 5.75 | |
| | Avg. Persian tokens / sentence | 6.05 | |
| | Avg. Tajik chars / sentence | 33.35 | |
| | Avg. Persian chars / sentence | 28.0 | |
| | Max Tajik tokens / sentence | 157 | |
| | Max Persian tokens / sentence | 161 | |
| | Max Tajik chars / sentence | 973 | |
| | Max Persian chars / sentence | 838 | |
|
|
| ### Category Distribution |
| | Category | Count | Share | |
| |---|---|---| |
| | poetry_parts | 154,891 | 47.19% | |
| | masnavi | 38,972 | 11.87% | |
| | unique_tajik_words | 38,151 | 11.62% | |
| | shahnameh | 24,819 | 7.56% | |
| | prose_parts | 23,936 | 7.29% | |
| | paranames_per | 20,101 | 6.12% | |
| | words | 14,292 | 4.35% | |
| | paranames_loc | 9,586 | 2.92% | |
| | dr | 1,542 | 0.47% | |
| | jj | 803 | 0.24% | |
| | paranames_org | 722 | 0.22% | |
| | bbc | 438 | 0.13% | |
| |
| ### Source Distribution |
| | Source | Count | Share | |
| |---|---|---| |
| | unknown | 328,253 | 100.00% | |
| |
| ## Data Format |
| |
| Each record has the following fields: |
| |
| | Field | Type | Description | |
| |---|---|---| |
| | `farsi` | string | Persian side of the aligned pair | |
| | `tajik` | string | Tajik side of the aligned pair | |
| | `category` | string | File-based category, such as `poetry_parts`, `prose_parts`, or `words` | |
| | `source` | string | Optional source label if available | |
| |
| ## Example |
| |
| ```json |
| { |
| "farsi": "در اقصای عالم بگشتم بسی", |
| "tajik": "Дар ақсои олам бигаштам басе,", |
| "category": "poetry_parts" |
| } |
| ``` |
| |
| ## Intended Uses |
| |
| * Tajik–Persian machine translation |
| * Cross-lingual lexical studies |
| * Subword tokenization experiments |
| * Corpus linguistics |
| * Named-entity and domain adaptation research |
| |
| ## Limitations |
| |
| * The corpus is heterogeneous and domain-imbalanced. |
| * Some categories are much larger than others, especially poetic and literary text. |
| * Token counts are based on whitespace tokenization. |
| |
| ## Citation |
| |
| ```bibtex |
| @dataset{tajpersparallelcorpus}, |
| title = {Tajik–Persian Parallel Corpus}, |
| author = {TajikNLPWorld}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelCorpus} |
| } |
| ``` |
| |
| |
