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README.md
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---
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license: cc-by-4.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "tp-ont.json"
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language:
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- en
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pretty_name: "TP-ONT"
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tags:
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- ontology
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- owl
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- knowledge-graph
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- planning
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---
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# TP-ONT
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## Overview
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This dataset contains a structured ontology representing AI Task Planning. It is provided in two formats:
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1. **JSON-LD**: Optimised for use with the Hugging Face `datasets` library and LLM workflows.
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2. **OWL**: The original semantic source file for use in OWL-compliant tools like Protégé.
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## Files
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- `tp-ont.json`: The serialized JSON-LD version used for the dataset viewer.
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- `tp-ont.owl`: The raw OWL/XML source file.
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## How to Use
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You can load the structured data directly using the Hugging Face library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("ma25/tp-ont")
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print(dataset['train'][0])
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```
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## Maintenance and Source
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- **Authors:** Ma'ayan Armony, Albert Meroño-Peñuela, and Gerard Canal (King's College London)
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- **Source:** [GitHub repository](https://github.com/maayan25/tp-ont)
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- **Version:** 1.0.0
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## License
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This work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org).
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