{
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    {
      "@base": "ark:/88434/mds2-3904"
    }
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  "@id": "ark:/88434/mds2-3904",
  "ediid": "ark:/88434/mds2-3904",
  "version": "1.0.0",
  "doi": "doi:10.18434/mds2-3904",
  "title": "Trojan Detection Software Challenge - nlp-question-answering-aug2023-test",
  "contactPoint": {
    "fn": "Michael Majurski",
    "hasEmail": "mailto:michael.majurski@nist.gov"
  },
  "modified": "2023-08-22",
  "status": "available",
  "landingPage": "https://data.nist.gov/od/id/mds2-3904",
  "description": [
    "nlp-question-answering-aug2023-test",
    "This 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."
  ],
  "keyword": [
    "Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;"
  ],
  "theme": [
    "Information Technology: Cybersecurity",
    "Information Technology: Software research"
  ],
  "topic": [
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Information Technology: Cybersecurity"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Information Technology: Software research"
    }
  ],
  "accessLevel": "public",
  "license": "https://www.nist.gov/open/license",
  "components": [
    {
      "accessURL": "https://drive.google.com/drive/folders/1sjfoWV8ZntKevXUFygIkVd_R3QU24EJZ?usp=drive_link",
      "title": "nlp-question-answering-aug2023-test",
      "@type": [
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      ],
      "@id": "#drive/folders/1sjfoWV8ZntKevXUFygIkVd_R3QU24EJZ?usp=drive_link",
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  "publisher": {
    "name": "National Institute of Standards and Technology",
    "@type": "org:Organization"
  },
  "language": [
    "en"
  ],
  "bureauCode": [
    "006:55"
  ],
  "programCode": [
    "006:052"
  ],
  "annotated": "2025-08-26T19:31:22.067446",
  "revised": "2025-08-26T19:31:22.067446",
  "issued": null,
  "firstIssued": "2025-08-26T19:31:22.067446"
}