Spam Assassin public mail corpus.
JavaScript
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1
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This project provides the Spam Assassin public mail corpus, a dataset containing labeled spam and non-spam email messages for machine learning and text classification tasks. It's designed for developers and researchers working on spam detection, natural language processing, or email filtering systems who need a standardized dataset for training and evaluating their models.
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Support the dependencies of stdlib-js/datasets-spam-assassin
Command-line interface.
Read the entire contents of a file.
Read a file as JSON.
Standard output.
Replace search occurrences with a replacement string.
Copy or deep clone a value to an arbitrary depth.
Check if the runtime is a web browser.
Test if a value is an array-like object containing only plain objects.
Test if a value is a string.
Boolean indicating if the current process is running on Windows.
Read the entire contents of a directory.
Rename a file.
Write data to a file.
Absolute pathname of the executable which started the current Node.js process.
Return a regular expression to match a newline character sequence.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
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