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Add dataset card with documentation

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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - text-generation
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+ - feature-extraction
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+ language:
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+ - en
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+ tags:
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+ - rdf
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+ - knowledge-graph
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+ - semantic-web
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+ - triples
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # uniprotkb_obsolete_entries_0
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+
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+ ## Dataset Description
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+
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+ Comprehensive protein knowledgebase with functional annotations
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+
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+ **Original Source:** ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/rdf/uniprotkb_obsolete_entries_0.rdf.xz
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+
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+ ### Dataset Summary
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+
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+ This dataset contains RDF triples from uniprotkb_obsolete_entries_0 converted to
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+ HuggingFace dataset format for easy use in machine learning pipelines.
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+
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+ - **Format:** Originally rdf, converted to HuggingFace
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+ Dataset
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+ - **Size:** 0.392 GB (extracted)
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+ - **Entities:** ~90M protein entries
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+ - **Triples:** ~3.4B
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+ - **Original License:** CC BY 4.0
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+
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+ ### Recommended Use
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+
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+ Protein research, molecular biology, functional genomics
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+
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+ ### Notes
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+
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+ High quality with manual curation for Swiss-Prot entries. Updated every 8 weeks.
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+
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+ ## RDF Format
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+
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+ This dataset uses a standard lossless format for representing RDF triples.
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+ Each triple is a row with 6 fields:
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+ - `subject`: Subject URI or blank node
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+ - `predicate`: Predicate URI
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+ - `object`: Object value (URI, literal, or blank node)
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+ - `object_type`: Type of object (`uri`, `literal`, or `blank_node`)
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+ - `object_datatype`: XSD datatype URI (for typed literals)
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+ - `object_language`: Language tag (for language-tagged literals)
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+
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+ ### Loading the Dataset
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("uniprotkb_obsolete_entries_0")
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+ for row in dataset["train"]:
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+ print(f"{row['subject']} {row['predicate']} {row['object']}")
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+ ```
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite the original source:
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+
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+ **Dataset:** uniprotkb_obsolete_entries_0
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+ **URL:** ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/rdf/uniprotkb_obsolete_entries_0.rdf.xz
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+ **License:** CC BY 4.0
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+
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+ ## Conversion Details
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+
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+ - **Converted using:** [RDF to HuggingFace Incremental Converter](https://github.com/CleverThis/cleverernie)
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+ - **Conversion date:** 2026-01-16
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+ - **Format version:** 1.0
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+
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+ ---
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+
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+ This dataset is part of the CleverThis knowledge graph collection.