pillyshi/semaxis-examples

stars

commits

Jun 7, 2026

updated

README

semaxis-examples

A collection of data analysis examples using Semaxis.

About Semaxis

Semaxis is a Python library for building interpretable text features with language models. The project was previously named Prism.

Examples

Directory	Description
`examples/jmed-llm`	Japanese medical text multi-label classification example using the JMED-LLM `smdis.csv` dataset and Semaxis feature generation.

Getting Started

git clone https://github.com/pillyshi/semaxis-examples
cd semaxis-examples

See the README in each example directory for details.

Dependencies

Semaxis
Python 3.12+
uv

License

MIT

Contributors

pillyshi

26 commits

Similar repos

interpretml/interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and…

431

sociocom/JMED-LLM

JMED-LLM: Japanese Medical Evaluation Dataset for Large Language Models

csinva/imodelsX

Interpret text data with LLMs (sklearn compatible).

177

label-sleuth/label-sleuth

Open source no-code system for text annotation and building of text classifiers

274

UCREL/pymusas

Python Multilingual Ucrel Semantic Analysis System

SapienzaNLP/mosaico

A multilingual open-text semantically annotated interlinked corpus

dukesun99/CQG-MBQA

Official ICLR 2025 implementation of CQG-MBQA: interpretable semantic text embeddings where every…

UCREL/experimental-wsd

Experiments in WSD for USAS