Turkish Privacy Filter Dataset for PII Detection and Redaction

Turkish-language text examples with character-level privacy spans for personally identifiable information detection. The dataset contains synthetic and curated examples to support model development. It was created by yusuf-said and last updated on 2026-05-18.

Use Cases

• Training models for Personally Identifiable Information (PII) detection based on character-level privacy spans.
• Developing data redaction tools for Turkish text based on the described privacy spans.
• Evaluating token-classification models on Turkish-language privacy filtering tasks.
• Researching the effectiveness of synthetic data for privacy-related NLP tasks in Turkish.

Strengths

• Dataset is specifically designed for Turkish-language privacy tasks, a defined language focus.
• Contains character-level privacy span annotations, a specific annotation type.
• Includes both synthetic and curated text examples, a stated data composition.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-05-18; freshness should be verified.

Provenance

Source

huggingface

Collection Method

Contains synthetic and curated text examples.

Freshness

Last updated 2026-05-18 15:41:40.

Geography

Turkish-language focus.