WikiTableQuestions (WTQ)

The 'WikiTableQuestions (WTQ)' dataset is a benchmark that contains natural language questions paired with corresponding SQL queries, used to evaluate the performance of Text-to-SQL semantic parsing systems.

Papers using WikiTableQuestions (WTQ) (6)

Reasoning by Commented Code for Table Question Answering2026TAPEX: Table Pre-training via Learning a Neural SQL Executor2021 · 90 citesLearning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs2019 · 43 citesBinding Language Models in Symbolic Languages2022 · 38 citesImproving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding2022Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering2023