| ## Dataset Description | |
| This dataset integrates **Gene Ontology (GO)** annotations (filtered to experimental evidence, IDA) with bibliographic data from **Europe PMC**. | |
| Each record links a biological entity (gene/protein) to a GO term and the supporting scientific publication (Title and Abstract). | |
| ### **Columns** | |
| - **DB**, **DB_Object_ID**, **DB_Object_Symbol** — Source database and gene/protein identifiers | |
| - **Qualifier** — Relationship qualifier (e.g., `NOT`, `contributes_to`) | |
| - **GO_ID**, **GO_Name** — GO term and its descriptive name | |
| - **DB_Reference** — Supporting reference (PubMed or other) | |
| - **Evidence_Code** — Experimental evidence type (e.g., `IDA`) | |
| - **Aspect** — Ontology branch (`P` = process, `F` = function, `C` = component) | |
| - **DB_Object_Name**, **DB_Object_Synonym**, **DB_Object_Type** — Entity metadata | |
| - **Taxon** — Organism taxonomy ID | |
| - **Date**, **Assigned_By**, **Annotation_Extension** — Annotation metadata | |
| - **PMID** — PubMed ID for the supporting publication | |
| - **Title**, **Abstract** — Publication title and abstract text (fetched from Europe PMC) | |
| ### **Summary** | |
| This dataset forms a structured link between curated **GO annotations** and **natural language descriptions** of the underlying biology — suitable for: | |
| - Biological reasoning | |
| - Text mining | |
| - Literature-grounded machine learning (ML) datasets | |