The Wikidata Query Logs Dataset

• URL: http://arxiv.org/abs/2602.14594v1
• Date: Mon, 16 Feb 2026 09:49:44 GMT
• Title: The Wikidata Query Logs Dataset
• Authors: Sebastian Walter, Hannah Bast,
• Abstract summary: We present the Wikidata Query Logs dataset, a dataset consisting of 200k question-Query pairs over the Wikidata knowledge graph.<n>It is over 6x larger than the largest existing Wikidata datasets of similar format without relying on template-generated queries.<n>We present an agent-based method that iteratively de-anonymizes, cleans, and verifies queries against Wikidata while also generating corresponding natural-language questions.
• Score: 2.9907607782169543
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present the Wikidata Query Logs (WDQL) dataset, a dataset consisting of 200k question-query pairs over the Wikidata knowledge graph. It is over 6x larger than the largest existing Wikidata datasets of similar format without relying on template-generated queries. Instead, we construct it using real-world SPARQL queries sent to the Wikidata Query Service and generate questions for them. Since these log-based queries are anonymized, and therefore often do not produce results, a significant amount of effort is needed to convert them back into meaningful SPARQL queries. To achieve this, we present an agent-based method that iteratively de-anonymizes, cleans, and verifies queries against Wikidata while also generating corresponding natural-language questions. We demonstrate the dataset's benefit for training question-answering methods. All WDQL assets, as well as the agent code, are publicly available under a permissive license.

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