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mks-logic/SPY

566 downloads in 30 days6 likesLast modified 29 Apr 2025View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 093be5a
Licence files: No licence file at the top level of the repositoryEvidence: file list at 093be5a
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

token-classification

Citation text from the card

@inproceedings{savkin-etal-2025-spy,
    title = "{SPY}: Enhancing Privacy with Synthetic {PII} Detection Dataset",
    author = "Maksim Savkin, Timur Ionov and Vasily Konovalov",
    editor = "Abteen Ebrahimi, Samar Haider, Emmy Liu, Sammar Haider, Maria Leonor Pacheco and Shira Wein",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)",
    month = apr,
    year = "2025",
    address = "Albuquerque, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-srw.23/",
    pages = "236--246",
    ISBN = "979-8-89176-192-6",
    abstract = "We introduce **SPY Dataset**: a novel synthetic dataset for the task of **Personal Identifiable Information (PII) detection**, underscoring the significance of protecting PII in modern data processing. Our research innovates by leveraging Large Language Models (LLMs) to generate a dataset that emulates real-world PII scenarios. Through evaluation, we validate the dataset`s quality, providing a benchmark for PII detection. Comparative analyses reveal that while PII and Named Entity Recognition (NER) share similarities, **dedicated NER models exhibit limitations** when applied to PII-specific contexts. This work contributes to the field by making the generation methodology and the generated dataset publicly, thereby enabling further re

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dataset_licence({ "id": "mks-logic/SPY" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0