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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).
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