2 datasets found
  1. P

    SOREL-20M Dataset

    • paperswithcode.com
    Updated Dec 13, 2020
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    Richard Harang; Ethan M. Rudd (2020). SOREL-20M Dataset [Dataset]. https://paperswithcode.com/dataset/sorel-20m
    Explore at:
    Dataset updated
    Dec 13, 2020
    Authors
    Richard Harang; Ethan M. Rudd
    Description

    SOREL-20M is a large-scale dataset consisting of nearly 20 million files with pre-extracted features and metadata, high-quality labels derived from multiple sources, information about vendor detections of the malware samples at the time of collection, and additional “tags” related to each malware sample to serve as additional targets.

  2. SOREL-20M (Sophos/ReversingLabs-20 Million)

    • opendatalab.com
    zip
    Updated Mar 17, 2023
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    FireEye Data Science (2023). SOREL-20M (Sophos/ReversingLabs-20 Million) [Dataset]. https://opendatalab.com/OpenDataLab/SOREL-20M
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 17, 2023
    Dataset provided by
    Sophoshttp://sophos.com/
    FireEye Data Science
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    SOREL-20M is a large-scale dataset consisting of nearly 20 million files with pre-extracted features and metadata, high-quality labels derived from multiple sources, information about vendor detections of the malware samples at the time of collection, and additional “tags” related to each malware sample to serve as additional targets.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Richard Harang; Ethan M. Rudd (2020). SOREL-20M Dataset [Dataset]. https://paperswithcode.com/dataset/sorel-20m

SOREL-20M Dataset

Sophos/ReversingLabs-20 Million

Explore at:
Dataset updated
Dec 13, 2020
Authors
Richard Harang; Ethan M. Rudd
Description

SOREL-20M is a large-scale dataset consisting of nearly 20 million files with pre-extracted features and metadata, high-quality labels derived from multiple sources, information about vendor detections of the malware samples at the time of collection, and additional “tags” related to each malware sample to serve as additional targets.

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