Dabbu19/wordnet-v1

---
license: cc-by-4.0
task_categories:
- text-generation
- feature-extraction
language:
- en
tags:
- rdf
- knowledge-graph
- semantic-web
- triples
size_categories:
- 1K<n<10K
---

# WordNet RDF

## Dataset Description

Lexical database of semantic relations between words (English WordNet 2024)

**Original Source:** https://en-word.net/static/english-wordnet-2024.ttl.gz

### Dataset Summary

This dataset contains RDF triples from WordNet RDF converted to
HuggingFace dataset format for easy use in machine learning pipelines.

- **Format:** Originally turtle, converted to HuggingFace
Dataset
- **Size:** 0.21 GB (extracted)
- **Entities:** ~120K synsets
- **Triples:** ~2M
- **Original License:** CC BY 4.0

### Recommended Use

Quick validation, linguistic relationships, small-scale testing

### Notes

Compressed download, automatic extraction. English WordNet 2024 from en-word.net

## RDF Format

This dataset uses a standard lossless format for representing RDF triples.
Each triple is a row with 6 fields:
- `subject`: Subject URI or blank node
- `predicate`: Predicate URI
- `object`: Object value (URI, literal, or blank node)
- `object_type`: Type of object (`uri`, `literal`, or `blank_node`)
- `object_datatype`: XSD datatype URI (for typed literals)
- `object_language`: Language tag (for language-tagged literals)

### Loading the Dataset

```python
from datasets import load_dataset

dataset = load_dataset("wordnet")
for row in dataset["train"]:
print(f"{row['subject']} {row['predicate']} {row['object']}")
```

## Citation

If you use this dataset, please cite the original source:

**Dataset:** WordNet RDF
**URL:** https://en-word.net/static/english-wordnet-2024.ttl.gz
**License:** CC BY 4.0

## Conversion Details

- **Converted using:** [RDF to HuggingFace Incremental Converter](https://github.com/CleverThis/cleverernie)
- **Conversion date:** 2026-01-28
- **Format version:** 1.0

---

This dataset is part of the CleverThis knowledge graph collection.