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WS-Lite

A tiny weak-supervision toolkit for text classification.

Quickstart

python -m venv .venv
. .venv/bin/activate   # Windows: .\.venv\Scripts\activate
pip install -r requirements.txt
make reproduce
make ablation
make test

What it does

  • Applies label functions to text

  • Builds a label matrix with abstentions

  • Majority vote and one-step weighted vote

  • Trains a logistic regression on denoised labels

  • Reports test accuracy and leave-one-LF-out ablation

NOTE : First run tries to download 20 Newsgroups; if SSL blocks it, the code uses a synthetic local dataset so everything still works.