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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… See the full description on the dataset page: https://huggingface.co/datasets/vipinpalhugging/uniprotkb_obsolete_entries_0-vp.

sourceHugging Facecc-by-4.0updated 9mo agoView on Hugging Face
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Dataset Card

uniprotkbobsoleteentries_0

Dataset Description

Comprehensive protein knowledgebase with functional annotations

Original Source: ftp://ftp.uniprot.org/pub/databases/uniprot/currentrelease/rdf/uniprotkbobsoleteentries0.rdf.xz

Dataset Summary

This dataset contains RDF triples from uniprotkbobsoleteentries_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

python
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: uniprotkbobsoleteentries0 **URL:** ftp://ftp.uniprot.org/pub/databases/uniprot/currentrelease/rdf/uniprotkbobsoleteentries_0.rdf.xz License: CC BY 4.0

Conversion Details


This dataset is part of the CleverThis knowledge graph collection.