vipinpalhugging/dbpedia-label-en-testing

DBpedia English Labels

Dataset Description

Entity labels from DBpedia (English)

Original Source: https://downloads.dbpedia.org/repo/dbpedia/generic/labels/2022.12.01/labels_lang=en.ttl.bz2

Dataset Summary

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

• —Format: Originally turtle, converted to HuggingFace Dataset
• —Size: 1.0 GB (extracted)
• —Entities: ~9.5M
• —Triples: ~9.5M
• —Original License: CC BY-SA 3.0

Recommended Use

Entity naming, label learning, medium-scale training

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("dbpedia-labels-en")
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: DBpedia English Labels URL: https://downloads.dbpedia.org/repo/dbpedia/generic/labels/2022.12.01/labels_lang=en.ttl.bz2 License: CC BY-SA 3.0

Conversion Details

• —Converted using: RDF to HuggingFace Incremental Converter
• —Conversion date: 2026-01-21
• —Format version: 1.0

This dataset is part of the CleverThis knowledge graph collection.