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---
language:
- tg
- fa
license: apache-2.0
tags:
- parallel-corpus
- tajik-persian
- machine-translation
- bilingual
- translation
task_categories:
- translation
- sentence-similarity
- text-retrieval
pretty_name: Tajik-Persian Parallel Corpus (Full)
size_categories:
- 100K-1M
---
# TajPersParallelCorpusFull
## 📖 Description
**Full version** of the Tajik–Persian parallel corpus, combining:
1. **[TajPersParallelCorpus](https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelCorpus)** – 328,253 sentence pairs from news, poetry, prose, and named entities
2. **[TajPersParallelLexicalCorpus](https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelLexicalCorpus)** – 175,130 lexical pairs with author attribution
After deduplication, the combined corpus contains **456,307 unique parallel pairs**.
## 📊 Dataset Statistics
### Overview
| Metric | Value |
|--------|-------|
| **Total pairs** | 456,307 |
| Unique Tajik entries | 433,345 |
| Unique Persian entries | 453,515 |
| Empty Tajik/Persian fields | 0 / 0 |
### Length Statistics
| Metric | Tajik | Persian |
|--------|-------|---------|
| Avg characters | 40.0 | 33.4 |
| Max characters | 973 | 838 |
| Avg tokens (words) | 7.0 | 7.4 |
| Max tokens | 157 | 161 |
### Category Distribution (Top 15)
| Category | Count | Percentage |
|----------|-------|------------|
| poetry_parts | 154,891 | 33.94% |
| masnavi | 38,972 | 8.54% |
| unique_tajik_words | 38,151 | 8.36% |
| Rumi | 31,275 | 6.85% |
| shahnameh | 24,819 | 5.44% |
| prose_parts | 23,936 | 5.25% |
| Dictionary | 23,907 | 5.24% |
| Ferdousi | 22,290 | 4.88% |
| paranames_per | 20,101 | 4.41% |
| Nezami | 14,926 | 3.27% |
| words | 14,292 | 3.13% |
| paranames_loc | 9,586 | 2.10% |
| Asadi | 7,797 | 1.71% |
| Saadi | 7,266 | 1.59% |
| Bidel | 4,443 | 0.97% |
### Source Composition
The corpus is built from:
- **Original HF corpus**: 328,253 pairs (72.0% of unique pairs)
- **Lexical corpus**: 175,130 pairs (38.4% of unique pairs, ~47k duplicates removed)
## 📁 Data Format
Each record contains three fields:
| Field | Type | Description |
|-------|------|-------------|
| `tajik` | string | Tajik text (Cyrillic script) |
| `farsi` | string | Persian text (Arabic script) |
| `category` | string | Source category (e.g., `poetry_parts`, `bbc`, `Dictionary`, `Rumi`) |
### Category Values
- **Original categories**: `poetry_parts`, `masnavi`, `unique_tajik_words`, `shahnameh`, `prose_parts`, `paranames_*`, `bbc`, etc.
- **Lexical categories**: `+Saadi` format (e.g., `Assorted+Dictionary`, `BBC+Saadi`)
## 🚀 Usage Example
```python
from datasets import load_dataset
# Load the full corpus
dataset = load_dataset("TajikNLPWorld/TajPersParallelCorpusFull")
data = dataset["train"]
# Get first record
print(data[0])
# Filter by category
poetry = data.filter(lambda x: x["category"] == "poetry_parts")
bbc_news = data.filter(lambda x: x["category"] == "bbc")
lexical = data.filter(lambda x: "+" in x["category"]) # lexical entries have "source+author"
print(f"Poetry pairs: {len(poetry)}")
print(f"BBC news pairs: {len(bbc_news)}")
print(f"Lexical pairs: {len(lexical)}")
```
## 🔬 Applications
- **Machine Translation** – Tajik ↔ Persian
- **Cross-lingual Retrieval** – search in one language, retrieve from the other
- **Lexical Studies** – word-level alignments
- **Tokenization Evaluation** – test subword tokenizers on diverse domains
- **Linguistic Research** – syntax, morphology, semantics
## 📜 License
Apache 2.0
## 🤝 Citation
```bibtex
@dataset{tajpers_parallel_corpus_full_2026,
title = {TajPersParallelCorpusFull} – A Unified Tajik–Persian Parallel Corpus,
author = {TajikNLPWorld},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelCorpusFull}
}
```
## 📬 Contact
Open an issue on the [Hugging Face repository](https://huggingface.co/TajikNLPWorld/TajPersParallelCorpusFull) or contact the TajikNLPWorld team.
---
*Generated by merging TajPersParallelCorpus and TajPersParallelLexicalCorpus with deduplication.*