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    • Trojan Detection Software Challenge - nlp-question-answering-aug2023-train

    Metadata Updated: September 30, 2023

    nlp-question-answering-aug2023-trainThis is the train data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform extractive question answering on English text. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    Dates

    Metadata Created Date September 30, 2023
    Metadata Updated Date September 30, 2023

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 30, 2023
    Metadata Updated Date September 30, 2023
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-3065
    Data First Published 2023-09-14
    Language en
    Data Last Modified 2023-08-22 00:00:00
    Category Information Technology:Software research, Information Technology:Cybersecurity
    Public Access Level public
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id f7265404-2117-4215-b1f5-0c1d83cc104c
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-3065
    License https://www.nist.gov/open/license
    Program Code 006:045
    Source Datajson Identifier True
    Source Hash 510016b37bd7e7989c9fb3bb11297999efd54bf83cbe3f9c5d2710cd069ff908
    Source Schema Version 1.1

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