Datasets:

r-takahashi
/

biographical_knowledge_graph_n50_m3_seed42

Tasks:

Text Classification

Token Classification

Modalities:

Formats:

Languages:

Size:

Tags:

knowledge-graph

relation-extraction

Libraries:

Dataset card Data Studio Files Files and versions

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Synthetic Knowledge Graph Dataset

Dataset Description

This is a synthetic dataset for knowledge graph relation extraction, generated from a scale-free knowledge graph.

Dataset Summary

Total samples: 160
Total triples: 160
Relations: 14

Supported Tasks

Relation extraction
Knowledge graph construction
Natural language understanding

Dataset Structure

Each sample contains:

sentence: Natural language sentence
subject: Subject entity
relation: Relation type
object: Object entity
triple: Formatted triple

Data Fields

{
  "sentence": "Alice is a friend of Bob.",
  "subject": "Alice", 
  "relation": "friend_of",
  "object": "Bob",
  "subject_type": "name",
  "object_type": "name", 
  "triple": "(Alice, friend_of, Bob)",
  "template_id": 0
}

Usage

from datasets import load_dataset

dataset = load_dataset("your-username/synthetic-kg-dataset")

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