Dataset · Hugging Face

naos-ku/motif-qa

Name: motif-qa
Creator: naos-ku
License: mit
Keywords: task_categories:question-answering, task_categories:graph-ml, task_ids:closed-domain-qa, annotations_creators:synthetic, multilinguality:monolingual, source_datasets:original, language:en, license:mit, size_categories:10K<n<100K, format:json, modality:image, modality:tabular, modality:text, library:datasets, library:pandas

MotifQA Dataset Summary MotifQA is a synthetic graph question-answering benchmark focused on detecting graph motifs inside small random graphs. Each example pairs a textual prompt with an answer sentence, a list of nodes highlighted as the motif (when present), and an explicit graph description(nodes and edges). In this QA dataset, all graphs are homogenous and undirected. Subsets cover both yes/no motif detection, motif-type classification (house vs 5-cycle), and… See the full description on the dataset page: https://huggingface.co/datasets/naos-ku/motif-qa.

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Author / organization	naos-ku
License (as declared)	mit
Downloads	618 (as reported by Hugging Face)
Likes	0
Created	29 October 2025
Last updated at source	15 September 2026

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