Dabbu19/wordnet-v1

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

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
• —Conversion date: 2026-01-28
• —Format version: 1.0

This dataset is part of the CleverThis knowledge graph collection.