Alternatives and similar repositories for KaggleDBQA

Users that are interested in KaggleDBQA are comparing it to the libraries listed below

• microsoft / Table-Pretraining
  ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
  ☆299Updated 2 years ago
• ygan / NatSQL
  ☆50Updated 3 years ago
• THU-BPM / chatgpt-sql
  The prediction results of ChatGPT on various datasets of Text-to-SQL.
  ☆102Updated 2 years ago
• awslabs / diagnostic-robustness-text-to-sql
  Data for paper "Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness"
  ☆33Updated 2 years ago
• awslabs / gap-text2sql
  GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
  ☆108Updated last year
• IBM / kgi-slot-filling
  This is the code for our KILT leaderboard submissions (KGI + Re2G models).
  ☆157Updated 2 months ago
• microsoft / HiTab
  [ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.
  ☆100Updated 2 months ago
• OSU-NLP-Group / TableLlama
  [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".
  ☆131Updated last year
• awslabs / unified-text2sql-benchmark
  UNITE: A Unified Benchmark for Text-to-SQL Evaluation
  ☆82Updated 6 months ago
• ServiceNow / picard
  PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project tha…
  ☆371Updated 2 years ago
• dnaihao / text-to-SQL-survey
  ☆30Updated 2 years ago
• taoyds / test-suite-sql-eval
  Semantic Evaluation for Text-to-SQL with Distilled Test Suites
  ☆307Updated last year
• RUCKBReasoning / RESDSQL
  The Pytorch implementation of RESDSQL (AAAI 2023).
  ☆272Updated last year
• yuh-zha / AlignScore
  ACL2023 - AlignScore, a metric for factual consistency evaluation.
  ☆146Updated last year
• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆501Updated last year
• headacheboy / IGSQL
  ☆28Updated 5 years ago
• microsoft / TUTA_table_understanding
  TUTA and ForTaP for Structure-Aware and Numerical-Reasoning-Aware Table Pre-Training
  ☆125Updated last year
• wenhuchen / HybridQA
  Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"
  ☆239Updated 2 years ago
• NExTplusplus / TAT-QA
  TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-wor…
  ☆120Updated 11 months ago
• night-chen / ToolQA
  ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …
  ☆283Updated 2 years ago
• StonyBrookNLP / musique
  Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022
  ☆179Updated last year
• Yale-LILY / FeTaQA
  Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"
  ☆83Updated 2 years ago
• MohammadrezaPourreza / DTS-SQL
  This repository contains all the code for the DTS-SQL paper
  ☆53Updated last year
• facebookresearch / dpr-scale
  Scalable training for dense retrieval models.
  ☆298Updated 5 months ago
• xlang-ai / UnifiedSKG
  [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
  ☆566Updated 2 years ago
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆135Updated last year
• AlibabaResearch / HLATR
  Implementation of paper: HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking
  ☆73Updated 2 years ago
• allenai / DecomP
  Repository for Decomposed Prompting
  ☆95Updated 2 years ago
• chentong0 / factoid-wiki
  Dense X Retrieval: What Retrieval Granularity Should We Use?
  ☆165Updated last year
• anthonywchen / RARR
  RARR: Researching and Revising What Language Models Say, Using Language Models
  ☆49Updated 2 years ago