---
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:
```python
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](https://github.com/maayan25/tp-ont)
- **Version:** 1.0.0

## License
This work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org).