| --- |
| 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). |
|
|
