metadata
pretty_name: WebQSP Verbalized
task_categories:
- question-answering
- text-generation
tags:
- knowledge-graph
- graph-to-text
- retrieval-augmented-generation
- question-answering
WebQSP Verbalized
This dataset is derived from the WebQSP benchmark and extended with multiple graph-to-text verbalization strategies.
It is designed to evaluate how different natural language representations of knowledge graphs affect large language models in knowledge-augmented QA tasks.
Dataset Structure
- Splits:
train,validation,test - Format: JSONL (one JSON object per line)