README.md

---
license: lgpl-3.0
task_categories:
- summarization
- text-classification
tags:
- code
configs:
- config_name: default
  data_files: 
  - "input_data.zip" 
  - "training_data_ex_epoch%3D20_tune_epoch_acc%3D0.5189.zip"
---

# Welcome to the HuggingFace repo for SentenceAx

![SentenceAx](pics/sentence_ax_logo.jpg)
![SentenceAx Bayesian Network](pics/sentence-ax-bnet.jpg)


The [Openie6 (O6) software](https://github.com/dair-iitd/openie6) 
splits complex or
compound sentences into simple ones. 
Simple sentences are essentially the same 
as the triples (subject, relationship, object) which, 
when visualized as a directed or undirected graph, 
is called a “knowledge graph”. 
Sentence splitting is also a necessary step 
in doing causal DAG extraction from text (causal DEFT), 
as is done by my software [Mappa Mundi](https://github.com/rrtucci/mappa_mundi).

SentenceAx (Sax) is a complete rewrite, from stem to stern, of O6.

SentenceAx is a fine-tuning of BERT written with PyTorch and Lightning.

SentenceAx is a stand-alone app, but it is also a vital part of the Mappa Mundi 
project for doing causal AI/ML and causal inference.

This repo contains various large data files (input data, weights)
necessary for training or generated by training Sax.
The Python source code for Sax can be found at
[its GitHub repo](https://github.com/rrtucci/SentenceAx).