vipinpalhugging/uniprotkb_obsolete_entries_0-vp

uniprotkb_obsolete_entries_0

Dataset Description

Comprehensive protein knowledgebase with functional annotations

Original Source: ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/rdf/uniprotkb_obsolete_entries_0.rdf.xz

Dataset Summary

This dataset contains RDF triples from uniprotkb_obsolete_entries_0 converted to HuggingFace dataset format for easy use in machine learning pipelines.

• Format: Originally rdf, converted to HuggingFace Dataset
• Size: 0.392 GB (extracted)
• Entities: ~90M protein entries
• Triples: ~3.4B
• Original License: CC BY 4.0

Recommended Use

Protein research, molecular biology, functional genomics

Notes

High quality with manual curation for Swiss-Prot entries. Updated every 8 weeks.

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("uniprotkb_obsolete_entries_0")
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: uniprotkb_obsolete_entries_0 URL: ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/rdf/uniprotkb_obsolete_entries_0.rdf.xz License: CC BY 4.0

Conversion Details

• Converted using: RDF to HuggingFace Incremental Converter
• Conversion date: 2026-01-16
• Format version: 1.0

---

This dataset is part of the CleverThis knowledge graph collection.