@inproceedings{chauhan-etal-2025-mind,
    title = "Mind the Query: A Benchmark Dataset towards {T}ext2{C}ypher Task",
    author = "Chauhan, Vashu  and
      Raj, Shobhit  and
      Mujumdar, Shashank  and
      Saha, Avirup  and
      Jain, Anannay",
    editor = "Potdar, Saloni  and
      Rojas-Barahona, Lina  and
      Montella, Sebastien",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2025",
    address = "Suzhou (China)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-industry.133/",
    pages = "1890--1905",
    ISBN = "979-8-89176-333-3",
    abstract = "We present a high-quality, multi-domain dataset for the Text2Cypher task which is enabling the translation of natural language (NL) questions into executable Cypher queries over graph databases. The dataset comprises 27,529 NL queries and corresponding Cyphers spanning across 11 real-world graph datasets, each accompanied by its corresponding graph database for grounded query execution. To ensure correctness, the queries are validated through a rigorous pipeline combining automated schema, runtime and value checks, along with manual review for logical correctness. Queries are further categorized by complexity to support fine-grained evaluation. We have released our benchmark dataset and code to replicate our data synthesis pipeline on new graph datasets, supporting extensibility and future research for the task of Text2Cypher."
}