Dabbu19/yago-4.5-v1

YAGO 4.5

Dataset Description

Knowledge base combining Wikipedia, WordNet, and GeoNames

Original Source: https://yago-knowledge.org/data/yago4.5/yago-4.5.0.2-tiny.zip

Dataset Summary

This dataset contains RDF triples from YAGO 4.5 converted to HuggingFace dataset format for easy use in machine learning pipelines.

• Format: Originally turtle, converted to HuggingFace Dataset
• Size: 10.0 GB (extracted)
• Entities: ~2.5M
• Triples: ~50M
• Original License: CC BY-SA 3.0

Recommended Use

Balanced size/quality, general knowledge, initial training

Notes

YAGO 4.5 tiny version. Good balance for initial experiments. ZIP distribution.

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("yago-4.5")
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: YAGO 4.5 URL: https://yago-knowledge.org/data/yago4.5/yago-4.5.0.2-tiny.zip License: CC BY-SA 3.0

Conversion Details

• Converted using: RDF to HuggingFace Incremental Converter
• Conversion date: 2026-01-13
• Format version: 1.0

---

This dataset is part of the CleverThis knowledge graph collection.