Download Report IEEE DataPort : Malicious Document Detection Dataset 2025
CSV, JSONL by Mochen Guan, Linzhe Li
Information
Format: CSV, JSONL Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/11/2026
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ISBN: 10.21227/kk4m-z466
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Description
This repository provides EMBER-like metadata exports and pre-computed basic statistics for document malware detection experiments across PDF and Office formats. The core design goal is to make the dataset reproducible and easy to consume in pipelines that follow the EMBER2024-style JSONL format, while keeping the train/test split and per-file identifiers explicit.
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