README.md

metadata

license: cc-by-4.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: tp-ont.json
language:
  - en
pretty_name: TP-ONT
tags:
  - ontology
  - owl
  - knowledge-graph
  - planning

TP-ONT

Overview

This dataset contains a structured ontology representing AI Task Planning. It is provided in two formats:

1. JSON-LD: Optimised for use with the Hugging Face datasets library and LLM workflows.
2. OWL: The original semantic source file for use in OWL-compliant tools like Protégé.

Files

• tp-ont.json: The serialized JSON-LD version used for the dataset viewer.
• tp-ont.owl: The raw OWL/XML source file.

How to Use

You can load the structured data directly using the Hugging Face library:

from datasets import load_dataset

dataset = load_dataset("ma25/tp-ont")
print(dataset['train'][0])

Maintenance and Source

• Authors: Ma'ayan Armony, Albert Meroño-Peñuela, and Gerard Canal (King's College London)
• Source: GitHub repository
• Version: 1.0.0

License

This work is licensed under a Creative Commons Attribution 4.0 International License.