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--- |
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license: cc-by-4.0 |
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datasets: |
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- ai4privacy/pii-masking-400k |
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language: |
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- it |
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- en |
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- fr |
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- nl |
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- es |
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base_model: |
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- distilbert/distilbert-base-multilingual-cased |
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pipeline_tag: token-classification |
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library_name: transformers |
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--- |
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# Neural Wave - Hackathon 2024 - Lugano |
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This repository contains the code produced by the `Molise.ai` team in the Neural Wave Hackathon 2024 competition in |
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Lugano. |
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## Challenge |
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Here is a brief explanation of the challenge: |
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The challenge was proposed by **Ai4Privacy**, a company that builds global solutions that enhance **privacy protections** |
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in the rapidly evolving world of **Artificial Intelligence**. |
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The challenge goal is to create a machine learning model capable of detecting and masking **PII** (Personal Identifiable |
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Information) in text data across several languages and locales. The task requires working with a synthetic dataset to |
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train models that can automatically identify and redact **17 types of PII** in natural language texts. The solution |
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should aim for high accuracy while maintaining the **usability** of the underlying data. |
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The final solution could be integrated into various systems and enhance privacy protections across industries, |
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including client support, legal, and general data anonymization tools. Success in this project will contribute to |
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scaling privacy-conscious AI systems without compromising the UX or operational performance. |
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## Disclaimer |
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The publisher of this repository is not affiliated with Ai4Privacy and Ai Suisse SA. |
