Fine tune codellama-7b-hf to achieve natural language to SQL ability

[NAACL 2024] TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

首届中文NL2SQL挑战赛

LLM evaluation framework

An application which uses streamlit interface and converts user's query into SQL query, executes it on a database, and then returns the result.

Natural Language to Structured Query Language (NL2SQL) REST API

Fine Tuning is a cost-efficient way of preparing a model for specialized tasks. Fine-tuning reduces required training time as well as training datasets. We have open-source pre-trained models. Hence, we do not need to perform full training every time we create a model.

[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

본 레포지토리는 2019년 한이음 프로젝트인 '자연어를 SQL로'를 위한 레포지토리입니다.

Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620

The easiest and most comprehensive framework for building enterprise-grade NL2SQL solutions at scale.

A Natural Language 2 SQL Interface implementation in Keras

Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260

This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text2SQL) techniques in the literature and provide practical guidance for researchers and practitioners.

Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

Code for PointerSQL, PT-MAML, Execution-guided Decoding papers

The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.