Indonesian Cross-Domain Benchmarks for Semantic Parsing and Text-to-SQL

Harvard Dataverse 2026 Dataset Open access

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Authors: M. Fazri Nizar, Abdiansah Abdiansah
DOI: 10.7910/dvn/c5ao0a
Cited by: 0

Abstract

This dataset provides a standard benchmark for Indonesian Text-to-SQL research and cross-domain semantic parsing. Adapted from the well-established English Spider dataset, it addresses the underrepresentation of Indonesian in natural language interfaces for databases. The dataset pairs natural language questions in Bahasa Indonesia with complex SQL queries, developed through a rigorous four-stage pipeline of extraction, translation, cleaning, and conversion to ensure strict SQL syntax and database integrity.

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Advanced Database Systems and Queries

Publication details

Journal / source
Harvard Dataverse
Publication date
15 March 2026
Language
EN
Document type
Dataset