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Trojan Detection Software Challenge - nlp-summary-jan2022-train

Metadata Updated: September 30, 2023

Round 9 Train DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform one of three tasks, sentiment classification, named entity recognition, or 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. This dataset consists of 210 Sentiment Classification, Named Entity Recognition, and Extractive Question Answering AI models using a small set of model architectures. Half (50%) of the models have been poisoned with an embedded trigger which causes misclassification of the input when the trigger is present.

Access & Use Information

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

Downloads & Resources


Metadata Created Date February 3, 2022
Metadata Updated Date September 30, 2023

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date February 3, 2022
Metadata Updated Date September 30, 2023
Publisher National Institute of Standards and Technology
Identifier ark:/88434/mds2-2539
Data First Published 2022-01-26
Language en
Data Last Modified 2022-01-24 00:00:00
Category Information Technology:Cybersecurity, Information Technology:Software research
Public Access Level public
Bureau Code 006:55
Metadata Context
Schema Version
Catalog Describedby
Harvest Object Id 35e559d0-4d9c-4f79-8031-a932fa099042
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL
Program Code 006:045
Source Datajson Identifier True
Source Hash 7202ab8fad461d2765a632184edc42f788f24a9456a941e3cc509ed10a99b41c
Source Schema Version 1.1

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