Dataset Card for TajPersParallelLexicalCorpus

Dataset Details

Dataset Description

The TajPersParallelLexicalCorpus is a parallel lexical resource for the Tajik–Persian language pair. It contains 43,819 records with word‑level translations, part‑of‑speech annotations, and usage examples from classical and modern literature. The corpus is designed for machine translation, cross‑lingual NLP, and linguistic research involving Tajik (Cyrillic script) and Persian (Arabic script).

• Curated by: Arabov Mullosharaf Kurbonovich
• Language(s) (NLP): Tajik (tg), Persian (fa)
• License: other – see Licensing & Legal Notice below.

Licensing & Legal Notice

This dataset follows the practice established by large web‑crawled corpora such as HPLT and OSCAR:

• Original lexical content (Tajik and Persian words, usage examples, literary quotations) may be subject to copyright of their respective authors or sources. They are not owned by the dataset curator and are not covered by any open license applied to the compilation.
• The structured compilation, metadata, annotations, and packaging created by the curator are released under the CC BY‑SA 4.0 license.
• Users are solely responsible for ensuring their use of the underlying lexical content complies with applicable copyright law. For commercial use of verbatim excerpts (e.g., literary examples), permission from the original copyright holders may be required.
• A notice‑and‑takedown procedure is in place: rights holders can request removal of specific entries by contacting the dataset maintainers (see Dataset Card Contact). We commit to responding within 14 business days and removing disputed content in the next release.

Dataset Sources

• Repository: https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelLexicalCorpus
• Papers:
  • Arabov, M. K. (2026). A Systematic Benchmark of Machine Transliteration Models for the Tajik‑Farsi Language Pair: A Comparative Study from Rule‑Based to Transformer Architectures. arXiv preprint arXiv:2605.02270.
  • Arabov, M. K. (2026). Character‑Level Transformer for Tajik‑Persian Transliteration with a Parallel Lexical Corpus. In Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script (AbjadNLP), pages 75–83, Rabat, Morocco. Association for Computational Linguistics.
  • Arabov, M. K. (2026). TajPersLexon: A Tajik‑Persian Lexical Resource and Hybrid Model for Cross‑Script Low‑Resource NLP. In Proceedings of the First Workshop on NLP and LLMs for the Iranian Language Family (SilkRoadNLP 2026), pages 29–37, Rabat, Morocco. Association for Computational Linguistics.

Uses

Direct Use

The dataset is designed for a variety of NLP tasks:

• Translation – building word‑level Tajik↔Persian translation systems and dictionaries
• Token classification – part‑of‑speech tagging for Tajik and Persian
• Fill‑mask – masked language modeling in bilingual contexts
• Text generation – language modeling for Tajik and Persian
• Sentence similarity – cross‑lingual word embedding alignment
• Feature extraction – creating word vectors for downstream applications

Out-of-Scope Use

• Redistribution of literary examples without permission from original copyright holders.
• Any use that violates the rights of the original authors of the lexical content.
• Creating misleading or harmful content based on the dataset.

Dataset Structure

Data Fields

Field	Type	Description
tajik	string	Word or phrase in Tajik (Cyrillic script)
persian	string	Corresponding word or phrase in Persian (Arabic script)
part_of_speech	string	Part‑of‑speech tag in Tajik (e.g., исм for noun)
examples	list[string]	Usage examples with poetic/literary references
_queried_word	string	Original queried word (internal field used during collection)

Data Splits

The dataset contains a single split (train) with all 43,819 records.

Part-of-Speech Distribution

Part of Speech (Tajik)	English Translation	Count	Percentage
исм	Noun	24,179	55.18%
сифат	Adjective	15,609	35.62%
зарф	Adverb	1,548	3.53%
феъл	Verb	1,391	3.17%
исми хос	Proper Noun	443	1.01%
нидо	Interjection	246	0.56%
шумора	Numeral	146	0.33%
пайвандак	Conjunction	91	0.21%
ҷонишин	Pronoun	38	0.09%
ҳиссача	Particle	30	0.07%
пешоянд	Preposition	25	0.06%
пасоянд	Postposition	9	0.02%
Total		43,819	100%

Dataset Creation

Curation Rationale

The dataset was created to address the scarcity of bilingual lexical resources for the Tajik–Persian language pair. It consolidates parallel word pairs, adds part‑of‑speech labels, and supplements entries with literary examples, providing a foundation for cross‑lingual NLP research and applications.

Source Data

Data Collection and Processing

1. Collection: Parallel lexical pairs were gathered from various Tajik–Persian dictionaries and linguistic resources.
2. Annotation: Part‑of‑speech tags were assigned to each entry.
3. Example extraction: Usage examples were sourced from classical and modern Tajik/Persian literature.
4. Deduplication and cleaning: Duplicate entries were removed, and records with missing data were filtered or flagged.
5. Validation: Translations and POS annotations were manually checked for a subset of entries.

Who are the source data producers?

The lexical content originates from published dictionaries, literary works, and linguistic databases. The curator (Arabov Mullosharaf Kurbonovich) performed the compilation, structuring, and annotation.

Annotations

Part‑of‑speech tags were assigned manually or semi‑automatically by the curator. Examples were collected from publicly available literary sources.

Personal and Sensitive Information

The dataset consists solely of lexical items, grammatical labels, and literary quotations. It does not contain personal or sensitive information.

Bias, Risks, and Limitations

• Data coverage: 1,753 records have an empty Persian field; 64 records lack a POS tag.
• Domain bias: The vocabulary may be skewed towards words present in classical literature and standard dictionaries.
• Translation ambiguity: Some Tajik words may have multiple Persian equivalents; only one is provided per record.
• Copyright constraints: Usage examples may be subject to copyright of their original authors (see Licensing & Legal Notice).

Recommendations

• Filter out records with missing fields before training.
• Use the part_of_speech field to balance classes if needed.
• For machine translation, combine this dataset with larger parallel corpora.
• Respect original copyrights when redistributing examples.

Citation

BibTeX (dataset):

@dataset{arabov_tajpers_2026,
    title = {TajPersParallelLexicalCorpus: A Parallel Lexical Corpus for Tajik-Persian},
    author = {Arabov, Mullosharaf Kurbonovich},
    year = {2026},
    publisher = {Hugging Face},
    url = {https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelLexicalCorpus}
}

APA (dataset): Arabov, M. K. (2026). TajPersParallelLexicalCorpus: A Parallel Lexical Corpus for Tajik‑Persian [Data set]. Hugging Face. https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelLexicalCorpus

Related Publications

BibTeX:

@article{arabov2026transliteration,
  author = {Arabov, Mullosharaf K.},
  title = {A Systematic Benchmark of Machine Transliteration Models for the Tajik-Farsi Language Pair: A Comparative Study from Rule-Based to Transformer Architectures},
  journal = {arXiv preprint arXiv:2605.02270},
  year = {2026}
}

@inproceedings{arabov2026character,
  author = {Arabov, Mullosharaf K.},
  title = {Character-Level Transformer for Tajik-Persian Transliteration with a Parallel Lexical Corpus},
  booktitle = {Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script (AbjadNLP)},
  pages = {75--83},
  year = {2026},
  address = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics}
}

@inproceedings{arabov2026tajperslexon,
  author = {Arabov, Mullosharaf K.},
  title = {TajPersLexon: A Tajik-Persian Lexical Resource and Hybrid Model for Cross-Script Low-Resource NLP},
  booktitle = {Proceedings of the First Workshop on NLP and LLMs for the Iranian Language Family (SilkRoadNLP 2026)},
  pages = {29--37},
  year = {2026},
  address = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics}
}

APA:

• Arabov, M. K. (2026). A Systematic Benchmark of Machine Transliteration Models for the Tajik‑Farsi Language Pair: A Comparative Study from Rule‑Based to Transformer Architectures. arXiv preprint arXiv:2605.02270.
• Arabov, M. K. (2026). Character‑Level Transformer for Tajik‑Persian Transliteration with a Parallel Lexical Corpus. In Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script (AbjadNLP) (pp. 75–83). Association for Computational Linguistics.
• Arabov, M. K. (2026). TajPersLexon: A Tajik‑Persian Lexical Resource and Hybrid Model for Cross‑Script Low‑Resource NLP. In Proceedings of the First Workshop on NLP and LLMs for the Iranian Language Family (SilkRoadNLP 2026) (pp. 29–37). Association for Computational Linguistics.

Glossary

• Tajik – a variety of Persian spoken in Tajikistan, written in Cyrillic script.
• Persian (Farsi) – the Persian language as spoken in Iran, written in Arabic script.
• Part of speech (POS) – grammatical category of a word (noun, verb, etc.).

More Information

For questions, contributions, or feedback, please open an issue on the Hugging Face repository.

Dataset Card Authors

• Arabov Mullosharaf Kurbonovich (TajikNLPWorld)

Dataset Card Contact

For questions, takedown requests, or collaboration, please open an issue on the Hugging Face repository:
https://huggingface.co/datasets/TajikNLPWorld/TajPersParallelLexicalCorpus/discussions
📧 Direct email: cool.araby@gmail.com