Spider
Emerging94papers using it
2018first seen
Dataset Card for Spider Dataset Summary Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students. The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases. Supported Tasks and Leaderboards The leaderboard can be s
Papers using Spider (94)
- Test-Time Verification for Text-to-SQL via Outcome Reward ModelsSQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference OptimizationJOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema SamplingLearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large
Language ModelsBASE-SQL: A powerful open source Text-To-SQL baseline approachSQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQLSTaR-SQL: Self-Taught Reasoner for Text-to-SQLMCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree SearchProgress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive RewardsZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQLSQLStructEval: Structural Evaluation of LLM Text-to-SQL GenerationAV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic ViewsLeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQLMARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQLGEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language ModelsBeyond SELECT: A Comprehensive Taxonomy-Guided Benchmark for Real-World Text-to-SQL TranslationDeclarative Techniques for NL Queries over Heterogeneous DataBenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark CurationPaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement LearningGBV-SQL: Guided Generation and SQL2Text Back-Translation Validation for Multi-Agent Text2SQLDeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword ExtractionGradeSQL: Test-Time Inference with Outcome Reward Models for Text-to-SQL Generation from Large Language ModelsLightweight Transformers for Zero-Shot and Fine-Tuned Text-to-SQL Generation Using SpiderXiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQLAuto prompt sql: a resource-efficient architecture for text-to-sql translation in constrained environmentsSQL-R1: Training Natural Language to SQL Reasoning Model By
Reinforcement LearningDCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link GraphSQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMsUNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema SimplificationSQLCritic: Correcting Text-to-SQL Generation via Clause-wise CriticExCoT: Optimizing Reasoning for Text-to-SQL with Execution FeedbackDB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQLKnapsack Optimization-based Schema Linking for LLM-based Text-to-SQL GenerationBridging the Gap: Transforming Natural Language Questions into SQL
Queries via Abstract Query Pattern and Contextual Schema MarkupSQLong: Enhanced NL2SQL for Longer Contexts with LLMsDialect2SQL: A Novel Text-to-SQL Dataset for Arabic Dialects with a Focus on Moroccan DarijaSpider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain
Semantic Parsing and Text-to-SQL TaskRESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLCan LLM Already Serve as A Database Interface? A BIg Bench for
Large-Scale Database Grounded Text-to-SQLsTeaching Large Language Models to Self-DebugNatural SQL: Making SQL Easier to Infer from Natural Language
SpecificationsA comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capabilityDIN-SQL: Decomposed In-Context Learning of Text-to-SQL with
Self-CorrectionACT-SQL: In-Context Learning for Text-to-SQL with
Automatically-Generated Chain-of-ThoughtSQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
(extended)Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationSyntaxSQLNet: Syntax Tree Networks for Complex and
Cross-DomainText-to-SQL TaskTowards Complex Text-to-SQL in Cross-Domain Database with Intermediate
RepresentationBertrand-DR: Improving Text-to-SQL using a Discriminative Re-rankerEvaluating Cross-Domain Text-to-SQL Models and BenchmarksUNITE: A Unified Benchmark for Text-to-SQL EvaluationGraphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for
Text-to-SQL ParsingEnhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A
Study on Prompt Design StrategiesInterCode: Standardizing and Benchmarking Interactive Coding with
Execution FeedbackLearning Contextual Representations for Semantic Parsing with
Generation-Augmented Pre-TrainingCodeS: Towards Building Open-source Language Models for Text-to-SQLA Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for
Text-to-SQLSemantic Decomposition of Question and SQL for Text-to-SQL ParsingPICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding
from Language ModelsMeta-Learning for Domain Generalization in Semantic ParsingNon-Programmers Can Label Programs Indirectly via Active Examples: A
Case Study with Text-to-SQL$R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL TasksPET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with
Cross-consistencyPURPLE: Making a Large Language Model a Better SQL WriterDAC: Decomposed Automation Correction for Text-to-SQLS$^2$SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder
for Text-to-SQL ParsersUsing LLM to select the right SQL Query from candidatesMCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For
Text-to-SQL GenerationSQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM
SynergySelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQLA Survey of Large Language Model-Based Generative AI for Text-to-SQL:
Benchmarks, Applications, Use Cases, and ChallengesValueNet: A Natural Language-to-SQL System that Learns from Database
InformationShadowGNN: Graph Projection Neural Network for Text-to-SQL ParserDocuT5: Seq2seq SQL Generation with Table DocumentationScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural
Language to SQL SystemsEPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention
InstructionsEvaluating LLMs for Text-to-SQL Generation With Complex SQL WorkloadMAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and
Iterative Sub-SQL Refinement for Text-to-SQLMulti-Turn Interactions for Text-to-SQL with Large Language ModelsTool-Assisted Agent on SQL Inspection and Refinement in Real-World
ScenariosFLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL
BenchmarkAn Actor-Critic Approach to Boosting Text-to-SQL Large Language ModelEzSQL: An SQL intermediate representation for improving SQL-to-text
GenerationSolid-SQL: Enhanced Schema-linking based In-context Learning for Robust
Text-to-SQLKaggleDBQA: Realistic Evaluation of Text-to-SQL ParsersTowards Generalizable and Robust Text-to-SQL ParsingData Transformation to Construct a Dataset for Generating
Entity-Relationship Model from Natural LanguageInvestigating the Impact of Data Contamination of Large Language Models
in Text-to-SQL TranslationSQL-to-Schema Enhances Schema Linking in Text-to-SQLBookSQL: A Large Scale Text-to-SQL Dataset for Accounting DomainGrounding Natural Language to SQL Translation with Data-Based Self-ExplanationsCooperative SQL Generation for Segmented Databases By Using
Multi-functional LLM AgentsStructure-Grounded Pretraining for Text-to-SQLSQL-PaLM: Improved Large Language ModelAdaptation for Text-to-SQL