17 datasets found

Archer, a challenging bilingual text-to-SQL dataset specific to complex reasoning, including arithmetic, commonsense and hypothetical reasoning.

The EHRSQL-2024 task provides a training dataset consisting of questions about medical records, SQL queries corresponding to the MIMIC-IV demo version, and instances annotated...

The EHRSQL dataset is a text-to-SQL dataset that consists of questions and corresponding SQL queries relevant to medical systems used in real hospitals.

MT-TEQL is a metamorphic testing-based framework for evaluating and augmenting the consistency of TExt-to-SQL models.

F-sql: Fuse table schema and table content for single-table text2sql generation

Syntaxsqlnet: Syntax tree networks for complex and cross-domain text-to-sql task

Seq2sql: Generating structured queries from natural language using reinforcement learning

Sqlnet: Generating structured queries from natural language without reinforcement learning

The dataset used in the paper is SParC and CoSQL, two large complex cross-domain context-dependent text-to-SQL datasets.

A dataset for compositional generalization in text-to-LISP expression parsing

A dataset for compositional generalization in text-to-SQL

Two simple semantic boundary-based techniques to improve the generalization of language model-based text-to-SQL

DAIL-SQL is a method for text-to-SQL that uses masked question similarity selection.

CRUSH is a method for text-to-SQL that retrieves relevant tables using the LLM hallucination.

Open-domain text-to-SQL is an important task that retrieves question-relevant tables from massive databases and then generates SQL. However, existing retrieval methods that...

The dataset used in the paper is the KaggleDBQA dataset, which is a cross-domain Text-to-SQL evaluation dataset with real-world databases.

The CTraffic dataset is a large-scale business dataset containing questions and answers about traffic congestion and management.