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New Python tool FindMyText detects text containment in large corpora

Researchers have developed FindMyText, an open-source Python package for detecting text containment within large datasets. This tool uses a novel mechanism to identify chains of matching fingerprints, enabling more reliable detection of near-verbatim copies compared to existing methods. FindMyText is designed to scale to web-crawled corpora and has demonstrated superior performance over alternatives on datasets including arXiv papers, Wikipedia, and general web content. AI

IMPACT This tool could improve the efficiency and accuracy of copyright detection and plagiarism checks in large-scale AI training datasets.

RANK_REASON The item is a research paper detailing a new open-source tool for text analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New Python tool FindMyText detects text containment in large corpora

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lars Henry Berge Olsen, Pierre Lison, Martin Jullum, Mark Anderson ·

    Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora

    arXiv:2607.10020v1 Announce Type: cross Abstract: We present FindMyText, an open-source Python package designed to efficiently assess whether a given text appears, in part or in full, within a text corpus. The tool builds on prior techniques for document fingerprinting, but exten…