Datasetpublic

islomov/rubai-NER-150K-Personal

Rubai NER Dataset - Personal Information Detection (Synthetic) A dataset for training Named Entity Recognition (NER) models to detect personal information in Uzbek and Russian text. All Data Synthetic, no contains real personal information! Dataset Description This dataset contains 142,704 annotated examples for detecting personal information entities in informal Uzbek and Russian text (Latin and Cyrillic scripts). Supported Entity Types… See the full description on the dataset page: https://huggingface.co/datasets/islomov/rubai-NER-150K-Personal.

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Dataset Card

Rubai NER Dataset - Personal Information Detection (Synthetic)

A dataset for training Named Entity Recognition (NER) models to detect personal information in Uzbek and Russian text. All Data Synthetic, no contains real personal information!

Dataset Description

This dataset contains 142,704 annotated examples for detecting personal information entities in informal Uzbek and Russian text (Latin and Cyrillic scripts).

Supported Entity Types

Entity	Description	Example
NAME	Personal names	Alisher, Мухаммад
PHONE	Phone numbers	+998 90 123 45 67
DATE	Dates and times	15-yanvar 2024, 15 января
DOCUMENT_ID	Document IDs, passport numbers	AA1234567
ADDRESS	Physical addresses	Chilonzor 5-kvartal 12-uy
CARD_NUMBER	Bank card numbers	8600 1234 5678 9012

Label Distribution

Label	Count	Percentage
TEXT	142,704	100.0%
ADDRESS	60,766	42.6%
DATE	46,803	32.8%
PHONE	45,046	31.6%
NAME	36,126	25.3%
CARD_NUMBER	32,748	22.9%
DOCUMENT_ID	30,984	21.7%

Data Format

Each entry contains:

—id: Unique identifier
—original: The original text with entities
—domain: Text domain/category
—labels: List of entity types present
—types: Token-level entity annotations

Example

json

{
  "id": 92721,
  "original": "Hujjatlar ro'yxatga olindi. Sizning shaxsiy raqamingiz 59-chi bo'ldi. Bog'lanish uchun telefon raqami 930 24 49 37. Yetkazib berish manzili quyidagicha: sergelida yigirma to'rtinchi uy 10-kvartira. Номер kartani yangilash talab etiladi: 5249 61 80 21 56 0603.",
  "domain": "general",
  "labels": ["TEXT", "DOCUMENT_ID", "PHONE", "ADDRESS", "CARD_NUMBER"],
  "types": ["TEXT", "TEXT", "TEXT", "TEXT", "TEXT", "TEXT", "DOCUMENT_ID", "TEXT", "TEXT", "TEXT", "TEXT", "TEXT", "PHONE", "PHONE", "PHONE", "PHONE", "TEXT", "TEXT", "TEXT", "TEXT", "ADDRESS", "ADDRESS", "ADDRESS", "ADDRESS", "ADDRESS", "TEXT", "TEXT", "TEXT", "TEXT", "TEXT", "CARD_NUMBER", "CARD_NUMBER", "CARD_NUMBER", "CARD_NUMBER", "CARD_NUMBER", "CARD_NUMBER"]
}

Languages

—Uzbek (Latin script): Primary language (~70%)
—Russian (Cyrillic script): Secondary language (~30%)
—Mixed: Some examples contain both languages

Use Cases

—PII (Personal Identifiable Information) detection
—Data anonymization
—Privacy protection systems
—Text classification

Citation

bibtex

@dataset{rubai_ner_2026,
  title={Rubai NER Dataset for Personal Information Detection},
  author={Islomov},
  year={2026},
  url={https://huggingface.co/datasets/islomov/rubai-NER-150K-Personal}
}

License

Apache 2.0